Predictive Finance for Oil & Gas customers


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Learn how Oil & Gas companies' finance organizations can benefit from Predictive Analytics to predict the future leveraging big data.

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Predictive Finance for Oil & Gas customers

  1. 1. OverviewQuick Facts SAP Information Sheet Analytics Solutions from SAP Use Advanced Analytics to Guide Your Oil and Gas Business to Financial Success ©2014SAPAGoranSAPaffiliatecompany.Allrightsreserved.
  2. 2. 2 / 4 Summary With advanced analytics from SAP, finance experts in the oil and gas industry can predict the future by analyzing Big Data – and take 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 users. They can spot trends, risks, and patterns; run what-if scenarios to deter- mine the best course of action; and address problems before performance is impacted. Objectives •• Anticipate upstream and downstream business outcomes given economic uncer- tainty and margin pressures •• Better forecast and plan capital and opera- tional spend despite risk •• Increase the accuracy of forward-looking statements Solution •• Run what-if scenarios and find the best outcomes in split seconds •• Advise and act before problems happen and opportunities pass •• Automate and simplify predictive modeling to empower business users Benefits •• Reduce downtime, forecast production, and mitigate risk to optimize capital and opera- tional spend •• Improve profitability by targeting profitable customers and increasing staff retention •• Increase product shelf opportunity for the downstream retail business Learn more Contact your SAP sales representative or visit us online at Quick Facts © 2014 SAP AG or an SAP affiliate company. All rights reserved. Overview
  3. 3. SUPPORT HUMAN JUDGMENT WITH PREDICTIVE INSIGHT As a finance executive in the oil and gas industry, your focus is on guiding your firm to a finan- cially 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 opera- tional decision making. Advanced analytics from SAP can help. Designed for business users, SAP® solutions combine the power of data visualization, data mining, predictive modeling, and collaboration to provide lightning-fast insight into financial and operational contexts. By taking market data and investments into the calculations, you can use best practices when making decisions about mergers, acquisitions, and divestitures. As you execute plans, you can assess your current direction by answering questions like, “Based on the past, what’s likely going to hap- pen?” and “Which factors are correlated – and how will they impact us?”As a result, you can take steps to reach goals faster, gain a compet- itive edge, capture opportunities, and address risks to performance. EMBEDDING ADVANCED ANALYTICS WITHIN FINANCE PROCESSES You’ll realize the most value when you embed advanced analytics within finance processes. For example, the table on the next page sum- marizes use cases for integrating predictive analytics into finance processes. In each case, timely, actionable, and forward-looking insights transform business outcomes. OverviewQuick Facts 3 /  4 © 2014 SAP AG or an SAP affiliate company. All rights reserved.
  4. 4. Use Cases for Predictive Analytics in Finance Processes Use Case Summary Receivables aging Optimize receivables aging process and collect overdue amounts faster by setting alerts when customers deviate from past payment patterns. Cash forecasting Project future receipts, identify slow and fast payers, and detect systemic issues to address and improve receivables management. Financial closing Assess and predict the processing speed of local and central closing processes and predict the likelihood of rebookings and intercompany mismatches. Profitability management Cascade departmental goals with a top-down approach using decision trees that show the route to desired out- comes as defined by statistical algorithms. Detection of financial risks Cluster customers and products to see what makes them profitable, define criteria and action plans to drive growth, and analyze outliers before they hurt performance. Company performance risk management Incorporate macroeconomic factors into business plans and get a forecasted “sneak preview” into your financials during midperiod to avoid surprising news. OverviewQuick Facts 4 /  4 Studio SAP | 28671enEN (14/03) © 2014 SAP AG or an SAP affiliate company. All rights reserved.
  5. 5. © 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 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.