by Padmini Ranganathan, Senior Director, Applied Analytics, SAP

It’s obvious that digital data use, structured and unstructured, is exploding. It’s also obvious  that adoption of technology will depend on how the technology is served as the millennial and digital-native generations become the majority workforce in the coming decade.

In his keynote address at SAPPHIRENOW, Dr. Vishal Sikka shared how SAP is thinking hard about this paradigm shift by ’simplifying complexity’ for the developer community.   The entire development process —writing code, checking in code, compiling code, transferring code to a test bed, running code, and verifying results—is lengthy and complicated. (Ask any developer about their current process and you will hear a number of sighs.) But it is simplified greatly with demonstrable business outcomes for developer efficiency.

Similarly, the demands of the business community for an easy, intuitive, and self-service way to access analytics and intelligent data was a theme heard at SAPPHIRENOW Madrid.  Information technology departments don’t want to get bogged down by repeat requests to provide the analysis required in the business moment.  Additionally, the new emerging work force won’t accept big data as a barrier to more effectively managing its business.

Business Use Cases

The SAP Predictive Analysis solution incorporates SAP Visual Intelligence to provide a powerful tool that data scientists and line of business specialists can leverage now to focus on their business.  When you apply this to a business need, such as the load forecasting example that Alliander, a Dutch utilities company, shared with us, you have a powerful business outcome.

The business community also needs standardized analytics in some areas. Good examples are standardized KPIs and root-cause analysis processes in the areas of procurement, supply chain, and human resources to support the day-to-day business operations with improved business outcomes.  SAP’s packaged analytic solutions provided as rapid-deployment solutions address this need, as demonstrated by Vodafone, whose quick deployment yielded powerful business outcomes.

In one panel session at SAPPHIRE Madrid, Qatargas, an energy company in the Middle East, talked about how it’s applying SAP BusinessObjects business intelligence (BI) solutions to improve ‘wrench-time’ and transform its enterprise. The enterprise-wide strategy provides maintenance analytics based on asset operations information, reliability, safety, workforce, and costs.  Qatargas was joined by Turk Telekom and Deutsche Investment Bank with similar business outcomes.

Our conversations with information technology professionals also demonstrated how SAP solutions for analytics, such as SAP BusinessObjects BI4.0 solutions, SAP Visual Intelligence, and SAP Business Planning and Consolidation can be applied to a business process use with demonstrable business outcome.  Samples of SAP’s business use cases and demonstrations are available for you to download from our SCN website.

Packaged analytics are truly of value where standardized content can be deployed for immediate results.  SAP’s packaged analytic applications are built with the business process, desired business outcome, and business value in mind.

The Key Take Away?

Technology innovations drive business outcomes.  SAP’s innovations in the areas of business intelligence, predictive analytics, and performance management drive revenue growth, cost reduction, margin improvement, and operational efficiencies while enabling business leaders to steer their companies to growth and profitability with confidence

Explore these business opportunities to enable the latest and greatest technology innovations from SAP solutions for analytics and bring intelligent data to your company now.  Keep me posted on how you are doing by reply to this post or contacting me on twitter @padz_ranga.




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