BUSINESS INTELLIGENCE & DATA WAREHOUSING
Overview
Business Intelligence and Data Warehousing (BI & DW) is the top most priority for CIOs, as a Gartner research report published in January 2012 indicates. As a key modernisation initiative driving the Intelligent Enterprise, BI helps businesses with real time information for enterprise-wide operational decision making, enterprise risk management and regulatory compliance.
BI initiatives are also targeted at understanding and analysing market trends, customer behaviour and buying patterns. This enables enterprises to fashion the right products and services for driving profitable growth and competitive advantage.
Key Challenges in BI & DW
Huge Upfront Investments
As an enterprise-wide initiative, BI generally necessitates upfront investment in terms of enterprise-grade technology, tools and data models as well as organisational resources and management time.
Data - The single biggest obstacle for successful BI implementation
BI depends immensely on accurate data. Inadequate and inaccurate data, challenges of enterprise-wide aggregation and performance complexities associated with effectively handling large data volumes, lead to poor and ineffective BI.
High Failure Rate
The Gartner research report (January 2012) pegs the failure rate of BI & DW projects at 80%, chiefly due to improper analysis of the data and higher than realistic expectations from the programme.
Mastek's Approach and Track Record
For successful BI, Mastek uniquely brings together disciplines in enterprise architecture, domain knowledge, technology assets, deep technical skills and unique adaptation of best practices.
Mastek‘s pragmatic and proven approach to BI has been built on successfully handling mega projects involving petabytes of data and delivering them on time and within budgets – time after time.
Some of our large-scale BI projects include: one of the largest public health programmes in the world, large financial modelling and reporting for a Fortune 100 enterprise and numerous BI & DW engagements in insurance, healthcare, retail and government sectors.
