SAP AG (SAP) continues to deliver on its innovation agenda and today announced a new wave of solutions that leverage the power of the SAP HANA® platform to help businesses transform their industry and derive new actionable value.
More than 30 solutions powered by SAP HANA have been designed to allow fast, reliable and easy adoption from business users. These new yet non-disruptive solutions aim to enable real-time planning, reporting and analysis on large-scale volumes of data, new sense-and-respond scenarios and personalized interactions with consumers. The announcements were made at SAPPHIRE® NOW + SAP® TechEd, being held as a co-located event in Madrid from November 13-16.
Restricted available and unrestricted available solutions include:
SAP® Liquidity Risk Management application
SAP® Accelerated Trade Promotion Planning application
SAP® POS Data Management application
SAP® Customer Usage Analytics analytic application
Planned solutions include:
SAP® Demand Signal Management application
SAP® Operational Process Intelligence software
"These innovations show how SAP is rapidly delivering real-time, data-centric and industry-specific applications on the SAP HANA platform," said Vishal Sikka, member of the SAP Executive Board, Technology and Innovation. "SAP HANA is already accelerating existing customer solutions non-disruptively. But SAP HANA enables us to go far beyond this, to completely rethink applications and to build incredible new applications that solve great, unprecedented problems. These new solutions represent an exciting step forward in our strategy to grow by bringing innovation to our customers."
SAP Liquidity Risk Management for High-Speed Liquidity Risk Reporting on Large Volumes of Cash Flows
SAP Liquidity Risk Management aims to provide banks with the ability to perform real-time, high-speed liquidity risk management and reporting on very large volumes of cash flows. Banks are planned to be able to instantly measure key liquidity risk ratios, such as the Basel III liquidity coverage ratio and cash flow gaps, to take corrective actions through calculation of the counterbalancing capacity to resolve potential liquidity bottlenecks. The appnecks. The application aims to allow banks to apply different stress scenarios, such as adjusted run-off rates and bond haircuts, to gain a deeper understanding of how market volatility can impact liquidity positions.
SAP Accelerated Trade Promotion Planning for Highly Customized Trade Promotions
SAP Accelerated Trade Promotion Planning aims to allow consumer packaged goods companies to plan highly effective, highly customized trade promotions. The lightning-fast application powered by SAP HANA is intended to help customers analyze massive volumes of promotion-related data in real time to accelerate the promotion planning process, uncover new promotion opportunities and accurately track campaign spend. It aims to instantly test new scenarios for individual promotions and makes adjustments on the fly, closely tracking and analyzing trade promotions to eliminate ineffective spending. SAP Accelerated Trade Promotion Planning is planned to improve relationships with retailers by tailoring promotions to the individual store level and stores promotion data on a daily granular level, eliminating reporting inaccuracies from working with weekly aggregated data.
SAP POS Data Management for Real-Time Retailing
SAP POS Data Management is planned to be a key block for evolving toward the real-time retail enterprise by taking point-of-sale (POS) data at the lowest level of granularity and allowing direct analytics and reporting by leveraging the speed of SAP HANA. It is intended to help retailers not only report what has sold but also provide the ability to examine and answer questions on sales and customer behavior to transform the customer experience. As billions of records are stored and made ready for real-time analysis, users are can make better decisions regarding possible stock outs by adding predictive algorithms to sales data or detect fraudulent activities at the point of sale using the SAP® Loss Prevention Analytics for Retail application. Business users are intended to make better decisions regarding possible stock outs by applying predictive algorithms to sales data, assist store associates with personalized customer engagement to predict their next buy, deliver real-time POS audits and fraud detection and provide physical inventory information.
"SAP POS Data Management leveraging the power of SAP HANA is COOP's step into the transactional world on SAP HANA," said Markus Lienhard, head of IT Processes Retail, COOP Switzerland. "We were part of the customer validation program for the application and this made us confident that we will be able to meet our objectives and realize the benefits that we expect from new retail solutions from SAP that are based on in-memory technology."
SAP Customer Usage Analytics for Telecommunications, High Tech and Financial Services Industries
Available immediately, SAP Customer Usage Analytics is an innovative real-time analytic application for the billing and revenue innovation management (BRIM) space. It addresses the "big data" needs of service industries such as telecommunications, high tech and financial services. The application empowers marketing, sales and service departments to better understand customer usage patterns. This insight allows them to launch more relevant offers and develop personalized services to retain customers. SAP Customer Usage Analytics is also available as rapid-deployment solution to support a quicker time to value and maximize predictability with fixed cost and scope.
SAP Demand Signal Management for Reacting Quickly to Demand Fluctuations
SAP Demand Signal Management aims to help companies across multiple industries capture external market and downstream demand data, in near real time, and integrate it with their internal business data to drive insights and better decision-making across the entire enterprise in areas such as sales, marketing and supply chain. The application is planned to include state-of-the-art analytics built around specific lines of business and use cases that can explore and analyze data at any level of granularity.
SAP Demand Signal Management is intended to enable customers to leverage downstream demand signals, market research and consumer sentiment data to develop deeper market visibility and respond faster to market changes. By optimizing trade promotions, improving sales planning and enhancing forecast accuracy, the application aims to allow companies to increase sales, strengthen retailer relationships and decrease revenue losses by driving insights into proper stocking needs and failed product launches.
SAP Operational Process Intelligence for Real-Time Business Process Visibility
SAP Operational Process Intelligence is planned to be operational decision support software that helps line-of-business users gain real-time process visibility across end-to-end business processes with a clear focus on helping achieve successful outcomes across disparate activities. Improved process visibility aims to immediately result in the possibility of superior operational responsiveness and decision-making in day-to-day business operations. The software is planned to leverage SAP HANA to correlate and compute process logs across SAP and non-SAP data providers. This is intended to help process participants, process owners and departmental managers make faster and better-informed business decisions through easily accessible contextualized and real-time process visibility on big processes — by value, velocity, variety and volume — across heterogeneous applications and workflows.
Solution architects and business process experts are intended to be able to flexibly define process phases and performance indicators of an operational scenario and leverage the SAP HANA® studio to search for process fragments and compose the analytical data model as well as generate the state-of-the-art business user experience, for example, role-based dashboards. Critical process instances are planned to be safeguarded to support smarter and faster decisions by detecting critical situations in real time related to process bottlenecks and weak spots based on pre-defined measures and indicators.