Benefits of Business intelligence

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Published on July 24, 2014

Author: swati0870

Source: slideshare.net

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Business Intelligence is an umbrella term that combines architectures, applications, and databases. It enables the real-time, interactive access, analysis, and manipulation of information, which provides the business community with easy access to business data. By giving this valuable insight, BI helps decision-makers make more informed decisions and supplies end-users with critical business information on their customers or partners, including information on behaviours and trends.”

Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation An Overview of Qspear Business Intelligence Services Without BI, a company runs the risk of making critical decisions based on insufficient or inaccurate information. Making decisions based on "gut feel" will not get the job done !! Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation An Overview of Qspear Business Intelligence Services Without BI, a company runs the risk of making critical decisions based on insufficient or inaccurate information. Making decisions based on "gut feel" will not get the job done !! Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation An Overview of Qspear Business Intelligence Services Without BI, a company runs the risk of making critical decisions based on insufficient or inaccurate information. Making decisions based on "gut feel" will not get the job done !!

Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation Introduction Enterprise resources planning (ERP) and customer relationship management (CRM) applications— help in streamlining the operations and increase the efficiencies. Today, companies realize that the information locked in enterprise and legacy systems is incredibly valuable. Accessing and understanding this information improves a company’s ability to manage costs and grow margins. However, the information must be complete, current, and adequate to answer critical business questions. And most organizations struggle to access and extract the right data from multiple systems and to deliver insight to the right person at the right time. Analytic applications can be the answer to the data access and insight delivery challenges. Business Intelligence Benefits:  Share information efficiently and effectively with people across your organization. BI makes it easy for everyone- from decision-makers to functional teams- to access and analyze up-to-date information anytime, anywhere. Everyone throughout the company can make better decisions, faster.  Empower your people. Providing employees with access to analytical data that is readily available and understandable allows them to work more effectively and support the overall business strategy.  Simplify collaboration and sharing and improve alignment with a single source for accurate financial and operational information. Having a single, central location allows you to monitor your key performance indicators (KPIs), access reports, analyze your data, and share documents. All of the functional areas are aligned to articulate strategies, set objectives, and monitor the organization’s performance so you can make better informed and timely decisions that support your overall business strategy.  Gain insights to understand and analyze your business performance and opportunities on a deeper level. Analyze and evaluate information that is more accessible and easy to interact with to make strategic and tactical decisions.  Deliver meaningful analysis and reporting. Readily track and analyze KPIs against key business goals to gain a better understanding of how your business is performing today and not when it’s too late to impact performance.  Have a solution with the scalability and flexibility to grow and change as your organization does. Many companies rely solely on the most widely used BI tool, the Excel spreadsheet. While Excel offers many useful features such as graphs, charts, and pivot tables which assist in decision-making, it doesn’t scale to your business. Also, compiling data from multiple, disparate databases are time-consuming and are prone to errors. However, Excel is still a key component of a total BI solution. Business Intelligence is an umbrella term that combines architectures, applications, and databases. It enables the real-time, interactive access, analysis, and manipulation of information, which provides the business community with easy access to business data. By giving this valuable insight, BI helps decision-makers make more informed decisions and supplies end- users with critical business information on their customers or partners, including information on behaviors and trends.” Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation Introduction Enterprise resources planning (ERP) and customer relationship management (CRM) applications— help in streamlining the operations and increase the efficiencies. Today, companies realize that the information locked in enterprise and legacy systems is incredibly valuable. Accessing and understanding this information improves a company’s ability to manage costs and grow margins. However, the information must be complete, current, and adequate to answer critical business questions. And most organizations struggle to access and extract the right data from multiple systems and to deliver insight to the right person at the right time. Analytic applications can be the answer to the data access and insight delivery challenges. Business Intelligence Benefits:  Share information efficiently and effectively with people across your organization. BI makes it easy for everyone- from decision-makers to functional teams- to access and analyze up-to-date information anytime, anywhere. Everyone throughout the company can make better decisions, faster.  Empower your people. Providing employees with access to analytical data that is readily available and understandable allows them to work more effectively and support the overall business strategy.  Simplify collaboration and sharing and improve alignment with a single source for accurate financial and operational information. Having a single, central location allows you to monitor your key performance indicators (KPIs), access reports, analyze your data, and share documents. All of the functional areas are aligned to articulate strategies, set objectives, and monitor the organization’s performance so you can make better informed and timely decisions that support your overall business strategy.  Gain insights to understand and analyze your business performance and opportunities on a deeper level. Analyze and evaluate information that is more accessible and easy to interact with to make strategic and tactical decisions.  Deliver meaningful analysis and reporting. Readily track and analyze KPIs against key business goals to gain a better understanding of how your business is performing today and not when it’s too late to impact performance.  Have a solution with the scalability and flexibility to grow and change as your organization does. Many companies rely solely on the most widely used BI tool, the Excel spreadsheet. While Excel offers many useful features such as graphs, charts, and pivot tables which assist in decision-making, it doesn’t scale to your business. Also, compiling data from multiple, disparate databases are time-consuming and are prone to errors. However, Excel is still a key component of a total BI solution. Business Intelligence is an umbrella term that combines architectures, applications, and databases. It enables the real-time, interactive access, analysis, and manipulation of information, which provides the business community with easy access to business data. By giving this valuable insight, BI helps decision-makers make more informed decisions and supplies end- users with critical business information on their customers or partners, including information on behaviors and trends.” Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation Introduction Enterprise resources planning (ERP) and customer relationship management (CRM) applications— help in streamlining the operations and increase the efficiencies. Today, companies realize that the information locked in enterprise and legacy systems is incredibly valuable. Accessing and understanding this information improves a company’s ability to manage costs and grow margins. However, the information must be complete, current, and adequate to answer critical business questions. And most organizations struggle to access and extract the right data from multiple systems and to deliver insight to the right person at the right time. Analytic applications can be the answer to the data access and insight delivery challenges. Business Intelligence Benefits:  Share information efficiently and effectively with people across your organization. BI makes it easy for everyone- from decision-makers to functional teams- to access and analyze up-to-date information anytime, anywhere. Everyone throughout the company can make better decisions, faster.  Empower your people. Providing employees with access to analytical data that is readily available and understandable allows them to work more effectively and support the overall business strategy.  Simplify collaboration and sharing and improve alignment with a single source for accurate financial and operational information. Having a single, central location allows you to monitor your key performance indicators (KPIs), access reports, analyze your data, and share documents. All of the functional areas are aligned to articulate strategies, set objectives, and monitor the organization’s performance so you can make better informed and timely decisions that support your overall business strategy.  Gain insights to understand and analyze your business performance and opportunities on a deeper level. Analyze and evaluate information that is more accessible and easy to interact with to make strategic and tactical decisions.  Deliver meaningful analysis and reporting. Readily track and analyze KPIs against key business goals to gain a better understanding of how your business is performing today and not when it’s too late to impact performance.  Have a solution with the scalability and flexibility to grow and change as your organization does. Many companies rely solely on the most widely used BI tool, the Excel spreadsheet. While Excel offers many useful features such as graphs, charts, and pivot tables which assist in decision-making, it doesn’t scale to your business. Also, compiling data from multiple, disparate databases are time-consuming and are prone to errors. However, Excel is still a key component of a total BI solution. Business Intelligence is an umbrella term that combines architectures, applications, and databases. It enables the real-time, interactive access, analysis, and manipulation of information, which provides the business community with easy access to business data. By giving this valuable insight, BI helps decision-makers make more informed decisions and supplies end- users with critical business information on their customers or partners, including information on behaviors and trends.”

Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation Why Business Intelligence? If your organization is struggling to manage, find, sort, filter and use information in a meaningful way, we encourage you to know more about Oracle Business Intelligence Enterprise Edition & Oracle Data integration Services. Oracle Business Intelligence Enterprise Edition can provide comprehensive, integrated capabilities for query, BI reporting and analysis in a single, user-friendly, browser interface and maximize corporate performance through the use of powerful features like Balanced Scorecards, interactive dashboards, OLAP analysis, graphs, reports, exception alerts and other tools. Oracle Data Integrator (ODI) is a best-of-breed data integration platform focused on fast bulk data movement and handling complex data transformations. ODI eliminates the need for a standalone ETL server and proprietary engine it also helps in providing a certain level of data quality without using an external data quality engine. The Benefits of OBIEE, Oracle Business Intelligence Enterprise Edition are:  ComprehensiveBI functionality o Includes interactive dashboards o Full ad hoc queries and analysis o Proactive intelligence delivery and alerts o Enterprise and financial reporting, o Online analytical processing (OLAP) analysis and presentation o High-volume production reporting o Real-time predictive intelligence o Disconnected analytics o Full integration with Microsoft Office.  Usability o Provides relevant insight to everyone, not just analysts o All levels of the organization can see information optimized for their role.  Unified business model o Built on an enterprise information model that unifies metadata across the Oracle BI tools and analytical applications for the lowest TCO.  Hot-Pluggable infrastructure o Integrates with any data source, extraction, transformation and load (ETL) tool, major business application, application server, security infrastructure, portal technology, or any other front-endand analytical tools o Integrates with databases including IBM DB/2, Teradata, Microsoft SQL Server; SAP Business Information Warehouse(BW), Microsoft Analysis Services; flat files; XMLdata; and unstructured Data. Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation Why Business Intelligence? If your organization is struggling to manage, find, sort, filter and use information in a meaningful way, we encourage you to know more about Oracle Business Intelligence Enterprise Edition & Oracle Data integration Services. Oracle Business Intelligence Enterprise Edition can provide comprehensive, integrated capabilities for query, BI reporting and analysis in a single, user-friendly, browser interface and maximize corporate performance through the use of powerful features like Balanced Scorecards, interactive dashboards, OLAP analysis, graphs, reports, exception alerts and other tools. Oracle Data Integrator (ODI) is a best-of-breed data integration platform focused on fast bulk data movement and handling complex data transformations. ODI eliminates the need for a standalone ETL server and proprietary engine it also helps in providing a certain level of data quality without using an external data quality engine. The Benefits of OBIEE, Oracle Business Intelligence Enterprise Edition are:  ComprehensiveBI functionality o Includes interactive dashboards o Full ad hoc queries and analysis o Proactive intelligence delivery and alerts o Enterprise and financial reporting, o Online analytical processing (OLAP) analysis and presentation o High-volume production reporting o Real-time predictive intelligence o Disconnected analytics o Full integration with Microsoft Office.  Usability o Provides relevant insight to everyone, not just analysts o All levels of the organization can see information optimized for their role.  Unified business model o Built on an enterprise information model that unifies metadata across the Oracle BI tools and analytical applications for the lowest TCO.  Hot-Pluggable infrastructure o Integrates with any data source, extraction, transformation and load (ETL) tool, major business application, application server, security infrastructure, portal technology, or any other front-endand analytical tools o Integrates with databases including IBM DB/2, Teradata, Microsoft SQL Server; SAP Business Information Warehouse(BW), Microsoft Analysis Services; flat files; XMLdata; and unstructured Data. Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation Why Business Intelligence? If your organization is struggling to manage, find, sort, filter and use information in a meaningful way, we encourage you to know more about Oracle Business Intelligence Enterprise Edition & Oracle Data integration Services. Oracle Business Intelligence Enterprise Edition can provide comprehensive, integrated capabilities for query, BI reporting and analysis in a single, user-friendly, browser interface and maximize corporate performance through the use of powerful features like Balanced Scorecards, interactive dashboards, OLAP analysis, graphs, reports, exception alerts and other tools. Oracle Data Integrator (ODI) is a best-of-breed data integration platform focused on fast bulk data movement and handling complex data transformations. ODI eliminates the need for a standalone ETL server and proprietary engine it also helps in providing a certain level of data quality without using an external data quality engine. The Benefits of OBIEE, Oracle Business Intelligence Enterprise Edition are:  ComprehensiveBI functionality o Includes interactive dashboards o Full ad hoc queries and analysis o Proactive intelligence delivery and alerts o Enterprise and financial reporting, o Online analytical processing (OLAP) analysis and presentation o High-volume production reporting o Real-time predictive intelligence o Disconnected analytics o Full integration with Microsoft Office.  Usability o Provides relevant insight to everyone, not just analysts o All levels of the organization can see information optimized for their role.  Unified business model o Built on an enterprise information model that unifies metadata across the Oracle BI tools and analytical applications for the lowest TCO.  Hot-Pluggable infrastructure o Integrates with any data source, extraction, transformation and load (ETL) tool, major business application, application server, security infrastructure, portal technology, or any other front-endand analytical tools o Integrates with databases including IBM DB/2, Teradata, Microsoft SQL Server; SAP Business Information Warehouse(BW), Microsoft Analysis Services; flat files; XMLdata; and unstructured Data.

Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation Qspear Consultancy Services Qspear is specialized in providing business consulting and IT services and end-to-end lifecycle consulting. We believe that each company is unique in its opportunities and challenges, requirements and culture, so there must be a unique IT solution and Services to cater company’s unique requirements. Qspear’s certified consulting team is focused exclusively on Oracle Technologies, who know how to best optimize your investment in Oracle products and can provide your business with tightly integrated, Comprehensive, superior services throughout your ownership experience. We are flexible to conform to our clients and their needs in realizing their business potential through Business Process and IT Transformation. We implement the enterprise wide IT solutions in a cost effective, time bound, qualitative manner ensuring customer satisfaction in every project. Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation Qspear Consultancy Services Qspear is specialized in providing business consulting and IT services and end-to-end lifecycle consulting. We believe that each company is unique in its opportunities and challenges, requirements and culture, so there must be a unique IT solution and Services to cater company’s unique requirements. Qspear’s certified consulting team is focused exclusively on Oracle Technologies, who know how to best optimize your investment in Oracle products and can provide your business with tightly integrated, Comprehensive, superior services throughout your ownership experience. We are flexible to conform to our clients and their needs in realizing their business potential through Business Process and IT Transformation. We implement the enterprise wide IT solutions in a cost effective, time bound, qualitative manner ensuring customer satisfaction in every project. Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation Qspear Consultancy Services Qspear is specialized in providing business consulting and IT services and end-to-end lifecycle consulting. We believe that each company is unique in its opportunities and challenges, requirements and culture, so there must be a unique IT solution and Services to cater company’s unique requirements. Qspear’s certified consulting team is focused exclusively on Oracle Technologies, who know how to best optimize your investment in Oracle products and can provide your business with tightly integrated, Comprehensive, superior services throughout your ownership experience. We are flexible to conform to our clients and their needs in realizing their business potential through Business Process and IT Transformation. We implement the enterprise wide IT solutions in a cost effective, time bound, qualitative manner ensuring customer satisfaction in every project.

Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation Oracle Business Intelligence Enterprise Edition Oracle Business Intelligence Enterprise Edition(OBIEE) is an unmatched and comprehensive business intelligence and analytics platform that delivers a full range of capabilities including interactive dashboards, ad hoc queries, mobile analytics, notifications and alerts, enterprise and financial reporting, scorecard and strategy management, business process invocation, unstructured search and collaboration, integrated systems management and more. OBIEE is built on a proven and modern technological foundation that supports the highest workloads and most complex deployments, while providing timely insights to users across an enterprise at a low overall total cost of ownership: Services: Architecting, integrating and leveraging information to enhance business value Knowing more about your business—and knowing it faster than others—is the best way to power innovation and gain an edge on your competition. Software Oracle Business Intelligence Enterprise Edition (OBIEE) Oracle EPM Data Integration Services(ODI) Strategy & Roadmap Architecting integrated solution blueprints for Business Intelligence (BI) & Data Warehouse (DW) analytics Design & Implementation Delivering robust & maintainable BI and DW environments Oracle E-Business Suite Analytic Products • Product installation & configuration per Oracle recommended best practices • Implementation & enhancement of pre-built Oracle solutions Quickstart Programs / Migration Solutions • Essbase quickstart program - from set up to fully functional within weeks • Quickstart program, custom dashboard solutions, user friendly ad hoc analysis for Oracle OBIEE & Business Intelligence Application programs • Turnkey migration solutions to OBIEE for customers using Oracle Discoverer Health-check, technical review services across BI, DW & ETL environments Reliable & real-time business data to support informed & rapid decision making Intuitive, self-service access to business information / data Maximum visibility into performance of business network Greater insights from business data to help identify new opportunities & drive highest ROI, lowest TCO & competitive advantage in the market Enhanced operational efficiencies / smarter business processes Improved planning, budgeting & forecasting abilities Value Value Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation Oracle Business Intelligence Enterprise Edition Oracle Business Intelligence Enterprise Edition(OBIEE) is an unmatched and comprehensive business intelligence and analytics platform that delivers a full range of capabilities including interactive dashboards, ad hoc queries, mobile analytics, notifications and alerts, enterprise and financial reporting, scorecard and strategy management, business process invocation, unstructured search and collaboration, integrated systems management and more. OBIEE is built on a proven and modern technological foundation that supports the highest workloads and most complex deployments, while providing timely insights to users across an enterprise at a low overall total cost of ownership: Services: Architecting, integrating and leveraging information to enhance business value Knowing more about your business—and knowing it faster than others—is the best way to power innovation and gain an edge on your competition. Software Oracle Business Intelligence Enterprise Edition (OBIEE) Oracle EPM Data Integration Services(ODI) Strategy & Roadmap Architecting integrated solution blueprints for Business Intelligence (BI) & Data Warehouse (DW) analytics Design & Implementation Delivering robust & maintainable BI and DW environments Oracle E-Business Suite Analytic Products • Product installation & configuration per Oracle recommended best practices • Implementation & enhancement of pre-built Oracle solutions Quickstart Programs / Migration Solutions • Essbase quickstart program - from set up to fully functional within weeks • Quickstart program, custom dashboard solutions, user friendly ad hoc analysis for Oracle OBIEE & Business Intelligence Application programs • Turnkey migration solutions to OBIEE for customers using Oracle Discoverer Health-check, technical review services across BI, DW & ETL environments Reliable & real-time business data to support informed & rapid decision making Intuitive, self-service access to business information / data Maximum visibility into performance of business network Greater insights from business data to help identify new opportunities & drive highest ROI, lowest TCO & competitive advantage in the market Enhanced operational efficiencies / smarter business processes Improved planning, budgeting & forecasting abilities Value Value Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation Oracle Business Intelligence Enterprise Edition Oracle Business Intelligence Enterprise Edition(OBIEE) is an unmatched and comprehensive business intelligence and analytics platform that delivers a full range of capabilities including interactive dashboards, ad hoc queries, mobile analytics, notifications and alerts, enterprise and financial reporting, scorecard and strategy management, business process invocation, unstructured search and collaboration, integrated systems management and more. OBIEE is built on a proven and modern technological foundation that supports the highest workloads and most complex deployments, while providing timely insights to users across an enterprise at a low overall total cost of ownership: Services: Architecting, integrating and leveraging information to enhance business value Knowing more about your business—and knowing it faster than others—is the best way to power innovation and gain an edge on your competition. Software Oracle Business Intelligence Enterprise Edition (OBIEE) Oracle EPM Data Integration Services(ODI) Strategy & Roadmap Architecting integrated solution blueprints for Business Intelligence (BI) & Data Warehouse (DW) analytics Design & Implementation Delivering robust & maintainable BI and DW environments Oracle E-Business Suite Analytic Products • Product installation & configuration per Oracle recommended best practices • Implementation & enhancement of pre-built Oracle solutions Quickstart Programs / Migration Solutions • Essbase quickstart program - from set up to fully functional within weeks • Quickstart program, custom dashboard solutions, user friendly ad hoc analysis for Oracle OBIEE & Business Intelligence Application programs • Turnkey migration solutions to OBIEE for customers using Oracle Discoverer Health-check, technical review services across BI, DW & ETL environments Reliable & real-time business data to support informed & rapid decision making Intuitive, self-service access to business information / data Maximum visibility into performance of business network Greater insights from business data to help identify new opportunities & drive highest ROI, lowest TCO & competitive advantage in the market Enhanced operational efficiencies / smarter business processes Improved planning, budgeting & forecasting abilities Value Value

Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation  Interactive Dashboards  Ad hoc Analysis and Interactive Reporting.  Mobile Analytics  Enterprise Reporting  Proactive Detection and Alerts.  Actionable Intelligence.  Microsoft Office Integration  Spatial Visualizations and Analytics.  Scorecard and Strategy Management  Server based query, reporting, and analysis.  Hierarchy Drilling  Drive innovation. Explore and discover new insights by combining structured and unstructured data  Deploy business best practices for line of business analysis and financial management using packaged analytic applications  Make insights accessible to anyone, anytime and anywhere with mobile business intelligence  Provide extreme performance and lower total cost of ownership with Engineered Systems Key Features &Benefits Manage Measure and Control Costs, Finances, Resources, Customers, Sales, Products, Procedures And More!! Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation  Interactive Dashboards  Ad hoc Analysis and Interactive Reporting.  Mobile Analytics  Enterprise Reporting  Proactive Detection and Alerts.  Actionable Intelligence.  Microsoft Office Integration  Spatial Visualizations and Analytics.  Scorecard and Strategy Management  Server based query, reporting, and analysis.  Hierarchy Drilling  Drive innovation. Explore and discover new insights by combining structured and unstructured data  Deploy business best practices for line of business analysis and financial management using packaged analytic applications  Make insights accessible to anyone, anytime and anywhere with mobile business intelligence  Provide extreme performance and lower total cost of ownership with Engineered Systems Key Features &Benefits Manage Measure and Control Costs, Finances, Resources, Customers, Sales, Products, Procedures And More!! Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation  Interactive Dashboards  Ad hoc Analysis and Interactive Reporting.  Mobile Analytics  Enterprise Reporting  Proactive Detection and Alerts.  Actionable Intelligence.  Microsoft Office Integration  Spatial Visualizations and Analytics.  Scorecard and Strategy Management  Server based query, reporting, and analysis.  Hierarchy Drilling  Drive innovation. Explore and discover new insights by combining structured and unstructured data  Deploy business best practices for line of business analysis and financial management using packaged analytic applications  Make insights accessible to anyone, anytime and anywhere with mobile business intelligence  Provide extreme performance and lower total cost of ownership with Engineered Systems Key Features &Benefits Manage Measure and Control Costs, Finances, Resources, Customers, Sales, Products, Procedures And More!!

Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation OBIEE Dashboards: Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation OBIEE Dashboards: Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation OBIEE Dashboards:

Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation  High Availability and Scalability  Corporate Security Integration.  Enterprise-Scale E-LT Architecture  Simplified Deployment and Unified Administration  Simplified Deployment  Unified Administration and Monitoring  Enhanced Session Control  Enhanced Error Management  Design-Time Productivity  Redesigned Interface Editor  Auto-Fixing  Quick-Edit  Partitioning  Lookups  Derived Select for Temporary Interfaces  Automatic Temporary Index Management Key Features &Benefits Oracle Data Integrator - The Tool with EL-T thinking Oracle Data Integrator (ODI) is a best-of-breed data integration platform focused on fast bulk data movement and handling complex data transformations. The 11g version of ODI pushes the state of the art technology even further ahead of the rest of the industry. Oracle has invested in the following key areas for ODI 11g: ODI reduces the time spent in learning the product as well and helps in increasing developer productivity  ODI eliminates the need for a standalone ETL server and proprietary engine. It leverages the power of a relational database like Oracle for processing. Through this, ODI leverages set-based operations and as a result provides much higher performance.  ODI also helps in providing a certain level of data quality without using an external data quality engine. This is achieved by using the data integrity rules and constraints that are defined on the target data warehouse and/or in the ODI tool models.  ODI also supports heterogeneous databases other than Oracle such as Teradata, DB2, etc. It also supports other technologies like web services, flat files, XML, etc.  ODI supports all platforms, hardware and operating systems with the same software  ODI is cost-effective, as it reduces the initial hardware setup cost and does not require an ETL server and ETL engine. Also, the reduced learning time and increased developer productivity decreases the labor costs of the project. Oracle Data Integrator is fully integrated with the Oracle technology stack, including Database, Exadata, Business Intelligence, and Applications. ODI is the strategic data integration platform for Oracle. ODI is based on EL-T methodology of data Integration. Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation  High Availability and Scalability  Corporate Security Integration.  Enterprise-Scale E-LT Architecture  Simplified Deployment and Unified Administration  Simplified Deployment  Unified Administration and Monitoring  Enhanced Session Control  Enhanced Error Management  Design-Time Productivity  Redesigned Interface Editor  Auto-Fixing  Quick-Edit  Partitioning  Lookups  Derived Select for Temporary Interfaces  Automatic Temporary Index Management Key Features &Benefits Oracle Data Integrator - The Tool with EL-T thinking Oracle Data Integrator (ODI) is a best-of-breed data integration platform focused on fast bulk data movement and handling complex data transformations. The 11g version of ODI pushes the state of the art technology even further ahead of the rest of the industry. Oracle has invested in the following key areas for ODI 11g: ODI reduces the time spent in learning the product as well and helps in increasing developer productivity  ODI eliminates the need for a standalone ETL server and proprietary engine. It leverages the power of a relational database like Oracle for processing. Through this, ODI leverages set-based operations and as a result provides much higher performance.  ODI also helps in providing a certain level of data quality without using an external data quality engine. This is achieved by using the data integrity rules and constraints that are defined on the target data warehouse and/or in the ODI tool models.  ODI also supports heterogeneous databases other than Oracle such as Teradata, DB2, etc. It also supports other technologies like web services, flat files, XML, etc.  ODI supports all platforms, hardware and operating systems with the same software  ODI is cost-effective, as it reduces the initial hardware setup cost and does not require an ETL server and ETL engine. Also, the reduced learning time and increased developer productivity decreases the labor costs of the project. Oracle Data Integrator is fully integrated with the Oracle technology stack, including Database, Exadata, Business Intelligence, and Applications. ODI is the strategic data integration platform for Oracle. ODI is based on EL-T methodology of data Integration. Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation  High Availability and Scalability  Corporate Security Integration.  Enterprise-Scale E-LT Architecture  Simplified Deployment and Unified Administration  Simplified Deployment  Unified Administration and Monitoring  Enhanced Session Control  Enhanced Error Management  Design-Time Productivity  Redesigned Interface Editor  Auto-Fixing  Quick-Edit  Partitioning  Lookups  Derived Select for Temporary Interfaces  Automatic Temporary Index Management Key Features &Benefits Oracle Data Integrator - The Tool with EL-T thinking Oracle Data Integrator (ODI) is a best-of-breed data integration platform focused on fast bulk data movement and handling complex data transformations. The 11g version of ODI pushes the state of the art technology even further ahead of the rest of the industry. Oracle has invested in the following key areas for ODI 11g: ODI reduces the time spent in learning the product as well and helps in increasing developer productivity  ODI eliminates the need for a standalone ETL server and proprietary engine. It leverages the power of a relational database like Oracle for processing. Through this, ODI leverages set-based operations and as a result provides much higher performance.  ODI also helps in providing a certain level of data quality without using an external data quality engine. This is achieved by using the data integrity rules and constraints that are defined on the target data warehouse and/or in the ODI tool models.  ODI also supports heterogeneous databases other than Oracle such as Teradata, DB2, etc. It also supports other technologies like web services, flat files, XML, etc.  ODI supports all platforms, hardware and operating systems with the same software  ODI is cost-effective, as it reduces the initial hardware setup cost and does not require an ETL server and ETL engine. Also, the reduced learning time and increased developer productivity decreases the labor costs of the project. Oracle Data Integrator is fully integrated with the Oracle technology stack, including Database, Exadata, Business Intelligence, and Applications. ODI is the strategic data integration platform for Oracle. ODI is based on EL-T methodology of data Integration.

Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation EL-T Vs ETL Objective This will provide an in depth understanding and appreciation of the relative strengths and weaknesses of the two different approaches of ETL and ELT in data warehouse design and implementation. Data Management and Business Intelligence Business Intelligence is not a technology, or technologies. It is the process by which data is turned into information upon which informed business decisions can be made to effect change. It is therefore a philosophy. To achieve a DM and BI implementation, two stages are required in the process (excepting any analysis which is part of each). Format the data – This is the process of producing the data warehouse. It involves getting the data from the source and transforming into an appropriate format from which the output can be derived. Produce the output – This is the process of taking the transformed data and presenting it to the user in a way that provides information. Stages in Warehouse Processing It is generally accepted in informed DM and BI circles that there are three stages in the process of building a data warehouse. However, the order in which these stages are performed can have a fundamental effect on the meaning of these processes and also the overall outcome of the BI solution. The loading of data into the warehouse The transformation of the source data into a format relevant to the solution The process by which data is extracted from the data source Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation EL-T Vs ETL Objective This will provide an in depth understanding and appreciation of the relative strengths and weaknesses of the two different approaches of ETL and ELT in data warehouse design and implementation. Data Management and Business Intelligence Business Intelligence is not a technology, or technologies. It is the process by which data is turned into information upon which informed business decisions can be made to effect change. It is therefore a philosophy. To achieve a DM and BI implementation, two stages are required in the process (excepting any analysis which is part of each). Format the data – This is the process of producing the data warehouse. It involves getting the data from the source and transforming into an appropriate format from which the output can be derived. Produce the output – This is the process of taking the transformed data and presenting it to the user in a way that provides information. Stages in Warehouse Processing It is generally accepted in informed DM and BI circles that there are three stages in the process of building a data warehouse. However, the order in which these stages are performed can have a fundamental effect on the meaning of these processes and also the overall outcome of the BI solution. Load The loading of data into the warehouse Transform The transformation of the source data into a format relevant to the solution Extract The process by which data is extracted from the data source Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation EL-T Vs ETL Objective This will provide an in depth understanding and appreciation of the relative strengths and weaknesses of the two different approaches of ETL and ELT in data warehouse design and implementation. Data Management and Business Intelligence Business Intelligence is not a technology, or technologies. It is the process by which data is turned into information upon which informed business decisions can be made to effect change. It is therefore a philosophy. To achieve a DM and BI implementation, two stages are required in the process (excepting any analysis which is part of each). Format the data – This is the process of producing the data warehouse. It involves getting the data from the source and transforming into an appropriate format from which the output can be derived. Produce the output – This is the process of taking the transformed data and presenting it to the user in a way that provides information. Stages in Warehouse Processing It is generally accepted in informed DM and BI circles that there are three stages in the process of building a data warehouse. However, the order in which these stages are performed can have a fundamental effect on the meaning of these processes and also the overall outcome of the BI solution. The transformation of the source data into a format relevant to the solution The process by which data is extracted from the data source

Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation ETL – Extract, Transform and Load This approach to data warehouse development is the traditional and widely accepted approach. The following diagram illustrates each of the individual stages in the process. Development Time Designing from the output backwards ensures that only data relevant to the solution is extracted and processed, potentially reducing development, extract, and processing overhead; and therefore time. Targeted data Due to the targeted nature of the load process, the warehouse contains only data relevant to the presentation. Administration Overhead Reduced warehouse content simplifies the security regime implemented and hence the administration overhead Tools Availability The prolific number of tools available that implement ETL provides flexibility of approach and the opportunity to identify a most appropriate tool. The proliferation of tools has lead to a competitive functionality war, which often results in loss of maintainability. Flexibility Targeting only relevant data for output means that any future requirements, that may need data that was not included in the original design, will need to be added to the ETL routines. Due to nature of tight dependency between the routines developed, this often leads to a need for fundamental re-design and development. As a result this increases the time and costs involved. Hardware Most third party tools utilize their own engine to implement the ETL process. Regardless of the size of the solution this can necessitate the investment in additional hardware to implement the tool’s ETL engine. Skills Investment The use of third party tools to implement ETL processes compels the learning of new scripting languages and processes. Learning Curve Implementing a third party tool that uses foreign processes and languages results in the learning curve that is implicit in all technologies new to an organization and can often lead to following blind alleys in their use due to lack of experience. ETL Strengths ETL Weakness Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation ETL – Extract, Transform and Load This approach to data warehouse development is the traditional and widely accepted approach. The following diagram illustrates each of the individual stages in the process. Development Time Designing from the output backwards ensures that only data relevant to the solution is extracted and processed, potentially reducing development, extract, and processing overhead; and therefore time. Targeted data Due to the targeted nature of the load process, the warehouse contains only data relevant to the presentation. Administration Overhead Reduced warehouse content simplifies the security regime implemented and hence the administration overhead Tools Availability The prolific number of tools available that implement ETL provides flexibility of approach and the opportunity to identify a most appropriate tool. The proliferation of tools has lead to a competitive functionality war, which often results in loss of maintainability. Flexibility Targeting only relevant data for output means that any future requirements, that may need data that was not included in the original design, will need to be added to the ETL routines. Due to nature of tight dependency between the routines developed, this often leads to a need for fundamental re-design and development. As a result this increases the time and costs involved. Hardware Most third party tools utilize their own engine to implement the ETL process. Regardless of the size of the solution this can necessitate the investment in additional hardware to implement the tool’s ETL engine. Skills Investment The use of third party tools to implement ETL processes compels the learning of new scripting languages and processes. Learning Curve Implementing a third party tool that uses foreign processes and languages results in the learning curve that is implicit in all technologies new to an organization and can often lead to following blind alleys in their use due to lack of experience. ETL Strengths ETL Weakness Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation ETL – Extract, Transform and Load This approach to data warehouse development is the traditional and widely accepted approach. The following diagram illustrates each of the individual stages in the process. Development Time Designing from the output backwards ensures that only data relevant to the solution is extracted and processed, potentially reducing development, extract, and processing overhead; and therefore time. Targeted data Due to the targeted nature of the load process, the warehouse contains only data relevant to the presentation. Administration Overhead Reduced warehouse content simplifies the security regime implemented and hence the administration overhead Tools Availability The prolific number of tools available that implement ETL provides flexibility of approach and the opportunity to identify a most appropriate tool. The proliferation of tools has lead to a competitive functionality war, which often results in loss of maintainability. Flexibility Targeting only relevant data for output means that any future requirements, that may need data that was not included in the original design, will need to be added to the ETL routines. Due to nature of tight dependency between the routines developed, this often leads to a need for fundamental re-design and development. As a result this increases the time and costs involved. Hardware Most third party tools utilize their own engine to implement the ETL process. Regardless of the size of the solution this can necessitate the investment in additional hardware to implement the tool’s ETL engine. Skills Investment The use of third party tools to implement ETL processes compels the learning of new scripting languages and processes. Learning Curve Implementing a third party tool that uses foreign processes and languages results in the learning curve that is implicit in all technologies new to an organization and can often lead to following blind alleys in their use due to lack of experience. ETL Strengths ETL Weakness

Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation ELT – Extract, Load and Transform Whilst this approach to the implementation of a warehouse appears on the surface to be similar to ETL, it differs in a number of significant ways. The following diagram illustrates the process. ELT Methodology The following section describes the ELT (Extract, Load and Transform) design approach for the reporting architecture. Oracle ODI (Oracle Data Integrator) is one of the tools available in the market that can be used for the purposes of performing this functionality. Extraction The goal of the extract phase is to convert the data from various source systems into a single format which is appropriate for transformation processing. An intrinsic part of the extract process involves the parsing of extracted data, resulting in a check if the data meets an expected pattern or structure. Where the data does not meet the expected pattern, the data may be rejected entirely or in part. The reporting architecture in the analytical system will generally use a daily, batch-driven extract process that will identify and extract any delta records from the source systems. A major reason for taking this approach is the considerations around the volume of data to be included in the daily extract, especially for high usage source systems such as the financial systems, Oracle EBS, Oracle ERP etc. In incorporating a delta extract, the overall time required to complete the entire ELT process will thus be greatly reduced. Load and Transformation There are a number of methods that allow for data to be stored in a DWH environment, either via an ETL (Extract, Transform and then Load) or via the ELT (Extract, Load and then Transform). Either approach will extract the data in a particular format and store it into an end state repository. The difference however between ETL and ELT is that the former transforms the data before loading it into the DWH, and the latter will load or store the data, then transform it. This section describes which methodology will be employed for the analytical system reporting architecture. Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation ELT – Extract, Load and Transform Whilst this approach to the implementation of a warehouse appears on the surface to be similar to ETL, it differs in a number of significant ways. The following diagram illustrates the process. ELT Methodology The following section describes the ELT (Extract, Load and Transform) design approach for the reporting architecture. Oracle ODI (Oracle Data Integrator) is one of the tools available in the market that can be used for the purposes of performing this functionality. Extraction The goal of the extract phase is to convert the data from various source systems into a single format which is appropriate for transformation processing. An intrinsic part of the extract process involves the parsing of extracted data, resulting in a check if the data meets an expected pattern or structure. Where the data does not meet the expected pattern, the data may be rejected entirely or in part. The reporting architecture in the analytical system will generally use a daily, batch-driven extract process that will identify and extract any delta records from the source systems. A major reason for taking this approach is the considerations around the volume of data to be included in the daily extract, especially for high usage source systems such as the financial systems, Oracle EBS, Oracle ERP etc. In incorporating a delta extract, the overall time required to complete the entire ELT process will thus be greatly reduced. Load and Transformation There are a number of methods that allow for data to be stored in a DWH environment, either via an ETL (Extract, Transform and then Load) or via the ELT (Extract, Load and then Transform). Either approach will extract the data in a particular format and store it into an end state repository. The difference however between ETL and ELT is that the former transforms the data before loading it into the DWH, and the latter will load or store the data, then transform it. This section describes which methodology will be employed for the analytical system reporting architecture. Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation ELT – Extract, Load and Transform Whilst this approach to the implementation of a warehouse appears on the surface to be similar to ETL, it differs in a number of significant ways. The following diagram illustrates the process. ELT Methodology The following section describes the ELT (Extract, Load and Transform) design approach for the reporting architecture. Oracle ODI (Oracle Data Integrator) is one of the tools available in the market that can be used for the purposes of performing this functionality. Extraction The goal of the extract phase is to convert the data from various source systems into a single format which is appropriate for transformation processing. An intrinsic part of the extract process involves the parsing of extracted data, resulting in a check if the data meets an expected pattern or structure. Where the data does not meet the expected pattern, the data may be rejected entirely or in part. The reporting architecture in the analytical system will generally use a daily, batch-driven extract process that will identify and extract any delta records from the source systems. A major reason for taking this approach is the considerations around the volume of data to be included in the daily extract, especially for high usage source systems such as the financial systems, Oracle EBS, Oracle ERP etc. In incorporating a delta extract, the overall time required to complete the entire ELT process will thus be greatly reduced. Load and Transformation There are a number of methods that allow for data to be stored in a DWH environment, either via an ETL (Extract, Transform and then Load) or via the ELT (Extract, Load and then Transform). Either approach will extract the data in a particular format and store it into an end state repository. The difference however between ETL and ELT is that the former transforms the data before loading it into the DWH, and the latter will load or store the data, then transform it. This section describes which methodology will be employed for the analytical system reporting architecture.

Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation Using the ODI tool, the Extract Load – Transform (EL-T) strategy is to be employed in the ANALYTICAL system reporting architecture for extract through to load functionality of reportable data. A number of reasons for employing an EL-T as opposed to an ETL approach are listed below: 1. Reduced overhead on ETL engine - the data transformation step of the ETL process is by far the most compute- intensive operation in the process, and is performed entirely by the proprietary ETL engine on a dedicated server. The ETL engine performs data transformations (and sometimes data quality checks) on a row-by-row basis, and hence, can easily become the bottleneck in the overall process whereas in EL-T approach, the transform doesn’t require a separate engine (as it is operated directly on the target) and thus allows for faster query execution. 2. Reduced use of network resource – Using the ETL approach the data must be moved over the network twice – once between the source system and the ETL server to staging, and again between the ETL server and the target data warehouse whereas in EL-T approach the data is typically moved across the network only once – thus reduced load on the network infrastructure. The figure shown below compares the traditional ETL and modern EL-T approaches: Figure: Traditional ETL vs. Modern EL-T ELT Strengths Utilize Existing Hardware In implementing ELT as a warehouse build process, the inherent tools provided with the database engine can be used. Alternatively, the vast majority of the third party ELT tools available employ the use of the database engine’s capability and hence the ELT process is run on the same hardware as the database engine underpinning the data warehouse, using the existing hardware deployed. Utilize Existing Skill sets By using the functionality provided by the database engine, the existing investments in database skills are re-used to develop the warehouse. No new skills need be learned and the full weight of the experience in developing the engine’s technology is utilized, further reducing the cost and risk in the development process. Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation Using the ODI tool, the Extract Load – Transform (EL-T) strategy is to be employed in the ANALYTICAL system reporting architecture for extract through to load functionality of reportable data. A number of reasons for employing an EL-T as opposed to an ETL approach are listed below: 1. Reduced overhead on ETL engine - the data transformation step of the ETL process is by far the most compute- intensive operation in the process, and is performed entirely by the proprietary ETL engine on a dedicated server. The ETL engine performs data transformations (and sometimes data quality checks) on a row-by-row basis, and hence, can easily become the bottleneck in the overall process whereas in EL-T approach, the transform doesn’t require a separate engine (as it is operated directly on the target) and thus allows for faster query execution. 2. Reduced use of network resource – Using the ETL approach the data must be moved over the network twice – once between the source system and the ETL server to staging, and again between the ETL server and the target data warehouse whereas in EL-T approach the data is typically moved across the network only once – thus reduced load on the network infrastructure. The figure shown below compares the traditional ETL and modern EL-T approaches: Figure: Traditional ETL vs. Modern EL-T ELT Strengths Utilize Existing Hardware In implementing ELT as a warehouse build process, the inherent tools provided with the database engine can be used. Alternatively, the vast majority of the third party ELT tools available employ the use of the database engine’s capability and hence the ELT process is run on the same hardware as the database engine underpinning the data warehouse, using the existing hardware deployed. Utilize Existing Skill sets By using the functionality provided by the database engine, the existing investments in database skills are re-used to develop the warehouse. No new skills need be learned and the full weight of the experience in developing the engine’s technology is utilized, further reducing the cost and risk in the development process. Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation Using the ODI tool, the Extract Load – Transform (EL-T) strategy is to be employed in the ANALYTICAL system reporting architecture for extract through to load functionality of reportable data. A number of reasons for employing an EL-T as opposed to an ETL approach are listed below: 1. Reduced overhead on ETL engine - the data transformation step of the ETL process is by far the most compute- intensive operation in the process, and is performed entirely by the proprietary ETL engine on a dedicated server. The ETL engine performs data transformations (and sometimes data quality checks) on a row-by-row basis, and hence, can easily become the bottleneck in the overall process whereas in EL-T approach, the transform doesn’t require a separate engine (as it is operated directly on the target) and thus allows for faster query execution. 2. Reduced use of network resource – Using the ETL approach the data must be moved over the network twice – once between the source system and the ETL server to staging, and again between the ETL server and the target data warehouse whereas in EL-T approach the data is typically moved across the network only once – thus reduced load on the network infrastructure. The figure shown below compares the traditional ETL and modern EL-T approaches: Figure: Traditional ETL vs. Modern EL-T ELT Strengths Utilize Existing Hardware In implementing ELT as a warehouse build process, the inherent tools provided with the database engine can be used. Alternatively, the vast majority of the third party ELT tools available employ the use of the database engine’s capability and hence the ELT process is run on the same hardware as the database engine underpinning the data warehouse, using the existing hardware deployed. Utilize Existing Skill sets By using the functionality provided by the database engine, the existing investments in database skills are re-used to develop the warehouse. No new skills need be learned and the full weight of the experience in developing the engine’s technology is utilized, further reducing the cost and risk in the development process.

Qspear Whitepaper 2014 Helping Customers Realize Business Potential Through Business Process and IT Transformation OBIEE and ODI Integration No Separate ETL engine As per the EL-T methodology, since the transformations are done at the target database only which would leverage the database capabilities hence there is no need for another transformation engine of the tool and hence the transformation overhead is not there in EL-T. Faster, More efficient Since data is first moved to the target database before transformation in EL-T, the load into final tables after transformation is the faster in comparison to ETL as the data is on the same server after the transformation. Hence, NO overhead of data migration from transformation engine to the final target tables. Best in Breed performance in Bulk Load Due to the fact that in EL-T the data is first migrated and transformed later, it becomes evident the performance of the bulk load when there is NO or minimal transformation is the best in breed. Minimized dependencies on the source systems Once data is extracted the dependency on the source systems is removed and hence there is lesser downtime for the source systems in a production environment. ELT Weakness Against the Norm ELT is an emergent approach to data warehouse design and development. Whilst it has proven itself many times over through its abundant use in implementations throughout the world, it does require a change in mentality and design approach against traditional methods. Though some principles remain true to all approaches, ELT is different in many ways. To get the best from an ELT approach requires an open mind. Tools Availability Being an emergent technology approach, ELT suffers from a limited availability of tools. Oracle Data Integrator (ODI) is the only EL-T tool available in the market today. n there is NO or minimal transformation is the best in breed. Minimized dependencies on the source systems Once data is extracted the dependency

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