Published on March 5, 2014
SAP Information Sheet Analytics Solutions from SAP Quick Facts © 2014 SAP AG or an SAP affiliate company. All rights reserved. Use Advanced Analytics to Guide Your Retail Business to Financial Success Overview
Quick Facts Overview Summary With advanced analytics from SAP finance , teams within your retail enterprise can predict the future by analyzing Big Data – and then take actionable steps to influence outcomes in real time. Our solutions, which can run on the SAP HANA® platform, democratize predictive insight with an intuitive interface designed for business analysts and end users. You can spot trends, risks, and patterns; run what-if scenarios to determine next steps; and address problems before performance is impacted. Objectives •• Anticipate business outcomes given economic uncertainty and growing margin pressures •• Forecast and plan more effectively despite increased risk •• Increase the accuracy of forward-looking statements Solution •• Mine Big Data and visualize the future to spot hidden trends, risks, opportunities, and patterns •• Run what-if scenarios and find the best possible outcomes in split seconds •• Advise and act before problems happen and opportunities pass •• Automate and simplify the predictive modeling process to empower business users Benefits •• Attain business goals faster by turning dormant data into new opportunities •• Stay agile and gain a competitive edge with efficient forecasting and planning •• Anticipate and avoid problems by proactively exposing hidden risks and hazards Learn more Contact your SAP sales representative, or visit us online at www.sap.com/predictive. 2 / 4 © 2014 SAP AG or an SAP affiliate company. All rights reserved.
Quick Facts Overview SUPPORT HUMAN JUDGMENT WITH PREDICTIVE INSIGHT As a finance executive, your focus is on guiding your organization to a financially positive future. But this isn’t easy – even if you have the latest business intelligence and reporting solutions to understand past and current performance. To succeed, you need to bridge the gap between strategic and operational decision making. Advanced analytics from SAP can help. Designed for business users, the SAP® solution combines the power of data visualization, data mining, predictive modeling, and collaboration to provide lightning-fast insight into financial and operational contexts. With full support for the record-to-act process, it helps you examine the past, extrapolate the future, and take the best corrective action. As you execute plans, you can assess your current direction by answering questions like, “Based on previous inventory purchases, assets employed, or store productivity, what’s going to happen?” and “Which factors are correlated – and how will they impact us?” As a result, you can take steps to reach goals faster, capture opportunities, and address issues that could derail performance. EMBEDDING ADVANCED ANALYTICS WITHIN FINANCE PROCESSES You’ll realize the most value when you embed analytics within finance processes. The table on the next page summarizes typical use cases for integrating predictive analytics into finance processes. In each case, timely, actionable, and forward-looking insights transform outcomes. 3 / 4 © 2014 SAP AG or an SAP affiliate company. All rights reserved.
www.sap.com Quick Facts Overview Use Cases for Predictive Analytics in Finance Processes Process Example Use Case Summary Accounts receivables processing Receivables aging Optimize receivables aging and collect overdue amounts faster by setting alerts when customers deviate from payment patterns. Cash management Cash forecasting Project future receipts, identify slow and fast payers, and detect systemic issues to improve receivables management. Working capital optimization Payables optimization Make better use of excess cash by taking advantage of incentives for early payment offered by suppliers. Corporate performance management Profitability management Cascade departmental goals from the top down using decision trees showing the route to desired outcomes, as defined by statistical algorithms. Financial risk management Detection of financial risks Cluster customers and products to see what makes them profitable, define criteria and plans to drive growth, and analyze outliers before they hurt performance. Treasury and risk management Company performance risk management Incorporate macroeconomic factors into business plans, and get a forecasted “sneak preview” into financials during midperiod to avoid surprises. 4 / 4 CMP28672 (14/01) © 2014 SAP AG or an SAP affiliate company. All rights reserved.
© 2014 SAP AG or an SAP affiliate company. All rights reserved. No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP AG or an SAP affiliate company. SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP AG (or an SAP affiliate company) in Germany and other countries. Please see http:/ /www.sap.com/corporate-en/legal/copyright/index.epx#trademark for additional trademark information and notices. Some software products marketed by SAP AG and its distributors contain proprietary software components of other software vendors. National product specifications may vary. These materials are provided by SAP AG or an SAP affiliate company for informational purposes only, without representation or warranty of any kind, and SAP AG or its affiliated companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP AG or SAP affiliate company products and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty. In particular, SAP AG or its affiliated companies have no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation, and SAP AG’s or its affiliated companies’ strategy and possible future developments, products, and/or platform directions and functionality are all subject to change and may be changed by SAP AG or its affiliated companies at any time for any reason without notice. The information in this document is not a commitment, promise, or legal obligation to deliver any material, code, or functionality. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions.
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