Datawarehousing and Business Intelligence Center OF Excellence
Smart enterprises use information to deliver superior business results and to gain a
strategic edge over competition. Proliferation in data volumes, complexity of
data sources along with real-time information requirements demand fresh
approaches to designing business intelligence solutions. The challenges of
designing high performance data warehousing environments that meet the varying
and evolving demands of businesses require exceptional skills.
and BI Center of Excellence distills information from projects executed,
identifies technology trends and provides thought leadership to the entire
organization. The group sets direction, refines methodologies and processes for
data warehouse development and shares best practices. The group is also involved
in the research of areas relevant to businesses today.
- Performance Management High performance corporations
all use information to differentiate themselves from the competition. Defining
strategy, translating strategy to measurable objectives and effectively managing
performance requires careful integration, using a set of metrics, processes and
tools. Regulatory compliance demands have fuelled the demand for performance
- Very Large Data Warehouses With complex data sources and
explosion in data volumes, the volumes of data required to be stored in a data
warehouse is growing at a frantic pace. Terabyte size data warehouses are very
common these days. The impact of this on DW environments span architecture,
hardware platforms, storage systems, tool selection, data modeling, ETL and
end-user reporting. Fresh approaches are required to scale the data warehouse
gracefully and optimize performance.
- Business Analytics Leveraging
business data can be a challenge for companies that need to respond to rapidly
evolving markets and changing customer dynamics. The goal of high-end business
analytics is to turn individually useful, but often marginalized data resources,
into something that lets business managers immediately grasp the dynamic state
of their business. The areas researched currently include supply chain and
- Technology Selection Today's marketplace is crowded
with numerous vendors and products, often with competing claims. With many new
entrants and varying degrees of product maturity, cutting through the maze is
never easy. Technology too is constantly evolving and multiple choices and
architectures are available to suit multiple requirements.
Quality Many data warehousing initiatives fail due to poor data quality. It is
important to define data quality from the customer's perspective and then define
architecture and processes to effectively manage this. This includes preventing
recurrence of data defects as well as implementing data cleansing
- Managing Data Warehousing Environments Building a data
warehouse is only one part of the story. A right environment is critical to
effect transformation by utilizing this information efficiently and effectively.
This includes understanding critical success factors, ensuring management
support, identifying risks and preparing mitigation plans and putting in place
proper data governance and stewardship programs.
See more about Mifi'
capabilities in the following areas: