The lab is the backbone of the CoE’s product delivery strategy incubated to deliver higher value to clients by developing several frameworks that would help them gain insight into operations and significantly improve data quality.

vertical oFFerings By the coe:1. Supply Chain Analytics – We offer

a Comprehensive Analytical Model for the Manufacturing industry which consists of an enterprise wide Logical Data Model (LDM) and Analytical Templates (AT). LDM helps capture and analyze detailed as well as summarized data and comprises of a SCOR compliant data model which supports the analytical needs for the entire supply chain of a manufacturing company.

With the spirit to unleash a new wave of innovation, nurture insights, foster thought leadership, conceive new DWBI

(Data Warehousing and Business Intelligence) offerings and create technology concepts for business solutions; the DWBI CoE launched the Business Analytics Centre for Innovation (BACI) Lab.

As the name suggests, the lab is a nodal centre for creating solutions for different horizontals and verticals by capturing emerging market trends, deploying cutting edge technologies and exploiting our expertise. Infact, the lab would be a one - stop shop for DWBI CoE for:

g Discussions on technology innovationsg Brain storming sessions on upcoming practices and technologies like Advanced Analytics, Hadoop, etc. g Training and certificationsg Solution offerings like Statistical Analysis, Predictive Modeling, Governance, Risk and Compliance Analytics for the Banking and Financial industry, etc.g Hosting DWBI software and developing solutions using software like SAP Business Objects, Informatica, OBIEE and Hyperion among others

2. Customer Analytics – Customer Analytics is a process by which data captured from customer behavior is used for long term planning and to make key business decisions via market segmentation and predictive analytics. This process is used by businesses for:g Direct Marketingg Site Selectiong Customer Relationship Management (CRM) by providing 360o view of the customer

This is currently being implemented for the Banking sector on tools like Qlikview, BO, OBIEEE, Xcelsius, etc.

attributes. The tool is used to monitor conversations on blogs, social networks, video views, ratings, and favorites on video sharing networks as well as an array of activities on other social media platforms. This would help in Social Media Brand Monitoring to provide insightful information for brands looking to participate in social media space.

3. Columnar Database / In-memory Analytics – We are developing solutions for columnar databases as well as In-memory Analytics. The solutions for columnar databases would turn the row-based orientation of relational

3. Solvency II – Through our offerings, we provide a standard set of reports and metrics to enable organizations become Solvency II regulations’ compliant.

some oF the technology oFFerings By the coe:

1. Go Mobile – A solution is being built together with SOA CoE to enhance Mobile Capabilities of SAP Business Objects and OBIEE.

2. Social Media Analytics (SMA) – We are preparing a tool set which will measure conversations, engagements, sentiments, influences and other social media specific

databases on its side. This columnar approach is based on analytical usage patterns and essentially prepares an index of all the data automatically. In the case of In-memory analytics, system memory is used as a persistent database for analytical data which results in vastly shortened query response times, allowing Business Intelligence (BI) and analytic applications to support faster business decisions.

During a couple of recent client visits, the DWBI CoE demonstrated innovative solutions and capabilities as well as showcased the future plans to become a champion in the BI market.

-Payal Agrawal, Software Engineer - DWBI CoE

Innovation & Insight - Business Analytics Centre for Innovation

Diagram 2.1: Supply Chain Analytical Framework The DWBI Team

BiZ. BUZZ...

April 20112

Diagram 2.2: Customer Analytics Framework

Complete & Global SupplyChain

Relatively shortproduct lifecycles

Improve new productintroductionprocess Growing product

coverage cost & higher claim processing time

Collaborative business process with channel partners

Earlyvisibility of product issue

Single view andaligned processorchestrationacross thevalue chain

Poor visibility of information & lackof analysis