In-Memory Analytics:
- HANA Data Marts and BOBJ/Lumira
- HANA Side Car and BOBJ/Lumira
- HANA Live Transactional Analytics
SAP Big Data:
- Data Orchestration
- HANA Data Platform – (HANA/Sybase IQ/Hadoop/”R” integration)
- Predictive Analytics
- M2M and Customer Behavior Solutions and Use Cases
SAP Enterprise Data Warehousing:
- SAP Business Warehouse (BW) on any database
- SAP BW on HANA
- SAP BW NLS Archival on Sybase IQ
Enterprise BI and Agile Visualization:
- SAP BOBJ 4.1 Suite
- SAP Lumira
- SAP Design Studio
- SAP Predictive Analysis and KXEN Infinite Insight
Information Management:
- SAP Data Services
- SAP Information Steward
- Data Migration
- Data Quality
SAP Managed and Upgrade Services:
- SAP BI Run Management
- Environment Optimization
- ITIL Aligned
Hana/ Hadoop Intergration and SAP VORA : SAP’s HANA Vora bridges divide between enterprise and Hadoop data.HANA Vora allows organizations to use familiar online analytical processing (OLAP) and programming languages to analyze all available data in enterprise and Hadoop systems in a coherent way, bridging the divide between enterprise data and ever-expanding volumes of big data. It’s designed to add insight across large volumes of operational and contextual data from enterprise applications, data warehouses, data lakes and edge Internet of Things (IoT) sensors. It leverages the Apache Spark execution framework to provide enriched interactive analytics on Hadoop, including:
- Data correlation for making precise contextual decisions. Vora enables a mashup of operational business data with external unstructured data sources for more powerful analytics.
- Simplified management of big data. Vora allows data to be processed locally on a Hadoop cluster, removing data ownership and integration challenges.
- OLAP modeling capabilities on Hadoop. Vora makes real-time drill-down analysis possible on large volumes of Hadoop data distributed across thousands of nodes.