Business Intelligence and Analytics in 2012
Business Intelligence environments will have a medley of workloads resulting in hybrid architectures for data management, analysis and delivery of insights
Multiple devices. Security. Increased demand for real-time analytics. Native Apps vs HTML 5 based Web browser access vs Hybrid. Data Visualization resulting in 'Call to Action'.
From BI Vendors. Pure play Mobile BI vendors. SAP BO 4.0 Mobile. Sybase Unwired Platform. Microstrategy Mobile. Cognos Mobile. Qlikview Mobile. Oracle BI Mobile. MeLLmo - RoamBI. Extended Results - PushBI. Transpara - Visual KPI.
Purpose - Solving Unknowns. Data Mining. Text Analytics - For Unstructured Data. Customer Behaviour. Risk and Fraud Management. Process Optimization. New Data Sources / New Analytics - Ex: Geospatial, Data streams etc.. Forecasting. Predictive Analytics. Optimization. Tools. Clarabridge. IBM SPSS. BO Text Analytics. Churn. Cross-sel and Up-sell. Profitable segments. Microsoft SSAS Data mining. IBM SPSS. SAS. R. Oracle Data Miner. Statsoft.
a) Visual, role-based view of actionable information b) Performance metrics in visual form - Dashboards and Scorecards c) Guided Analytics. Tools. Specific Trends in 2012. Visualization advances in standard BI platforms, viz. BO, Cognos, OBIEE etc.. Visualization in specialized BI tools, viz. Qlikview, Tableau, Spotfire etc.. Other special platforms. Visual Analysis driving BI adoption. Tools to load raw data and analyze on the 'go'. Event based visualization in real-time. Cross-platform development standards. Protovis. Flare. IBM Many Eyes. Google Gadgets.
Focus is on getting the job done - Multiple BI tools, Multiple analytical user profiles, Trade-offs between centralized data management and decentralized information delivery. Types of Access. Unified Information Access - Blending Structured and Unstructured Data. Semantic Layer based on ROLAP environment. Cube structure based on MOLAP environment. HOLAP architecture. In-memory architecture.
Objectives / Goals. Deployment Options. Best Practices. Speed of Deployment. Access Anywhere. Embedded BI. Cost Control. Public / Private / Hybrid clouds (IaaS). BI Platforms on the Cloud (PaaS). BI Applications on the Cloud (SaaS). Know your users. Evaluate security and reliability. Evaluate data integration techniques - ETL / ELT. Evaluate Functionality - Aggregations, calculations etc.. Evaluate app stores, widgets, pre-built apps, mashups etc..
Definition - Refers to process and technolgies that allows organizations analyze and derive insights from massive data sets, ranging from 100s of TB to petabytes and exabytes.. Technology Categories. Specific trends for 2012. Hardware Acceleration. MPP Architecture. No-SQL Approaches. Rising Interest in Hadoop, Map reduce and other No-SQL technologies. Integration of No-SQL technologies with traditional DW, BI and Analytics. Users want to look at more data, viz. structured and unstructured data for analysis. Increasing velocity of analytical insights. Teradata. IBM Netezza. Microsoft PADW. SAP HANA. EMC Greenplum. Oracle Exadata. Map Reduce Framework. Key Value Pairs. Document databases. Graph databases. Google File System. Hadoop Distributed File System. Google Big Table. Cassandra. Mongo DB. Couch DB. Neo4j. Hive. HBase.
Social Media Monitoring. Social Media Analytics - Analyzing Social Media data from sites like Twitter, Facebook, Foursquare, etc.. Collaborative BI - Making BI social in a organization. Collaborative Decision Making (CDM). CDM + Collaborative BI. Pure play Collaborative BI. DecisionLens. Sharepoint. DecisionSurface (Purus). SAP Streamwork. Lyzasoft. Cognos C10. Panorama Necto. Cogniti (Performance Management).