Revenue Intelligence 1.0 runs natively on SAP HANA – Certified via ICC on HANA Apps
with Choice [COIL Brazil, March 2013]
Choice Technologies released its Revenue Intelligence Portfolio 1.0 - energy-theft detection solution. It enables detection and recovery of revenue loss due to theft and fraud on power lines, meters, and from the non-payment of energy bills. Choice worked closely with the SAP Co-Innovation Lab to migrate their existing solution to natively run on SAP HANA. The solution now runs 1100+ times faster when run on SAP HANA, enabling the creation of new complex fraud detection scenarios that were previously not possible. Revenue Intelligence is now also certified via the SAP Integration and Certification Center as HANA-App, and Choice was selected as a SAP Pinnacle Award finalist under "SAP HANA® Application Innovator of the Year".
Further information can be found in the official SAP Press release (Portuguese only), as well as the certification announcement by Choice, and the SAP Pinnacle Awards Finalist information from Choice & SAP.
Choice, a Brazilian company, has developed an application called Revenue Intelligence (RI), which enables detection and recovery of revenue loss due to theft and fraud on power lines, meters, and the non-payment of energy bills. Choice has committed to develop a version of RI that natively runs on HANA, working closely with Co-Innovation Lab. Current benchmarks of the first development phase indicate that the solution on HANA runs a thousand times faster than without SAP HANA.
Almost every company today is faced with managing vast amounts of data from a variety of data sources – from traditional databases managing transactional data generated by business applications to enterprise data warehouses that facilitate deep analysis to Hadoop distributed file systems that store large volumes of mostly unstructured data that can be mined for new insights. The challenge for IT organizations is how to access and integrate relevant data for
leverage meaningful information in real-time. The findings are made available in a recorded demo and a COIL whitepaper.
With this COIL project, OSIsoft and SAP worked together to create a proof of concept application to automatically aggregate and push time-series manufacturing and process data into SAP HANA. Once in HANA, the data can be consumed by analytical and reporting tools such as SAP EERM or SAP
BusinessObjects BI platform. OSIsoft is a COIL member since 2009, and the OSIsoft PI system deployed at COIL has over 2 years historical data tracking the energy usage of COIL data center and the power offset by the building’s solar arrays. This data was used to demonstrate the technical capabilities and business values of the integrated solution.
In cooperation with COIL and hardware partners Cisco und NetApp the SAP HANA Center of Excellence Schweiz has set up a special lab. The new HANA Lab performs proof of concepts for projects around SAP's software appliance, but in addition develops customer-specific demo scenarios or executes development tasks. In addition COIL will use the HANA lab in collaboration with Cisco and NetApp to enable more partner solutions based on HANA (first example GK Software AG - First POS solution based on HANA presented at SAPPHIRE Madrid 2012). Read more about this at SAP im Dialog (German only).
SAP partner Vistex as a domain expert of complex business processes teamed up with IBM to build a PoC at COIL that demonstrates the significant performance improvement via running Vistex real-time profitability analytics on SAP HANA and IBM hardware. The team targeted two major use cases running on HANA: Gross-to-Net Profitability analysis and Pricing. In the gross-to-net analytics case, the PoC demonstrated significant results by performing the analysis 100x faster with HANA compared to a traditional Data Warehouse. While supporting large volume of online sales order processing transactions, the HANA enabled ERP and BI system is able to process reports of 20 Million records in less than 3 seconds. In the pricing case, the team reduced the processing time for more than half compared to traditional way.