When it comes to managing data,
USA’s leading bank, banks on us.


Banks need to ensure quality, consistency and precision of data that is fed
into their mission-critical applications. This is possible only with a robust
and scalable Business Intelligence (BI) solution.                               Business impact
                                                                                 Improved predictability in pricing
Here’s how Mindtree helped a leading US bank manage their data, more              and budgeting through unit-of-work
effectively and efficiently.                                                         based model
                                                                                 Ensured faster time-to-market
The challenge                                                                      Production fix turnaround
The bank was not able to handle enormous amount of mission-critical data            improved by 25%
every day. As a result, meeting stakeholder expectations and focusing on           Enhancement turnaround
strategic initiatives was becoming a challenge.                                     improved by 40%
                                                                                   New report creation time
Our solution                                                                        improved by 60%
Mindtree enhanced the customer’s data warehouse by building a                      New universe creation time
cost-effective, value based and scalable business intelligence model called          improved by 50%
BI factory. We achieved timely delivery and quality by streamlining data           Certainty in operations with
from all work units. In collaboration with the customer, we devised a               pre-defined SLAs on quality
strategy to meet the future road map. The solution enabled us to deliver            and timelines
230+ new reports and 1581+ enhancements.                                         Streamlined and improved service
                                                                                  queue management with 100%
                                                                                  tracking of service requests
Our approach
The BI factory had every BI work unit go through three primary phases as
depicted below.




                                                BI FACTORY
            Measure metrics
              & improve                        METHODOLOGY                                          Acknowledge
                                                                                                      & assess




                                                Capture
                                                                        Design, optimize
                                          performance metrics
                                                                          & develop


                                                                                               Define & assess
                        Continuous
                                                                                               request through
                       improvement
                                                                                                  one pager

                                                           Test, assure
                                                        quality of delivery


                                     Collate &                                   User expectation             Prioritize &
       Demonstrate SLA
                                 analyze metrics,                                  management                acknowledge
      metrics to customer
                                 derive inferences                               & communication             request query


                                                         Resolve &
                                                       assure quality




Our BI factory approach and methodology ensured that we:
 Performed initial assessment of requirements and clarified all queries
 Ensured quality of deliverables by focusing on design, development
  and testing of work units
 Employed measurable metrics to collate delivery performance and
  quality related data at every stage of the work unit execution




About Mindtree
Mindtree is a global information technology solutions company with revenues of over USD 400 million. Our team of 11,000 experts
engineer meaningful technology solutions to help businesses and societies flourish. We enable our customers achieve competitive
advantage through flexible and global delivery models, agile methodologies and expert frameworks.

www.mindtree.com                                                                                                             ©Mindtree Ltd 2012

When it comes to managing data, USA's leading bank, banks on us.

  • 1.
    When it comesto managing data, USA’s leading bank, banks on us. Banks need to ensure quality, consistency and precision of data that is fed into their mission-critical applications. This is possible only with a robust and scalable Business Intelligence (BI) solution. Business impact  Improved predictability in pricing Here’s how Mindtree helped a leading US bank manage their data, more and budgeting through unit-of-work effectively and efficiently. based model  Ensured faster time-to-market The challenge  Production fix turnaround The bank was not able to handle enormous amount of mission-critical data improved by 25% every day. As a result, meeting stakeholder expectations and focusing on  Enhancement turnaround strategic initiatives was becoming a challenge. improved by 40%  New report creation time Our solution improved by 60% Mindtree enhanced the customer’s data warehouse by building a  New universe creation time cost-effective, value based and scalable business intelligence model called improved by 50% BI factory. We achieved timely delivery and quality by streamlining data  Certainty in operations with from all work units. In collaboration with the customer, we devised a pre-defined SLAs on quality strategy to meet the future road map. The solution enabled us to deliver and timelines 230+ new reports and 1581+ enhancements.  Streamlined and improved service queue management with 100% tracking of service requests
  • 2.
    Our approach The BIfactory had every BI work unit go through three primary phases as depicted below. BI FACTORY Measure metrics & improve METHODOLOGY Acknowledge & assess Capture Design, optimize performance metrics & develop Define & assess Continuous request through improvement one pager Test, assure quality of delivery Collate & User expectation Prioritize & Demonstrate SLA analyze metrics, management acknowledge metrics to customer derive inferences & communication request query Resolve & assure quality Our BI factory approach and methodology ensured that we:  Performed initial assessment of requirements and clarified all queries  Ensured quality of deliverables by focusing on design, development and testing of work units  Employed measurable metrics to collate delivery performance and quality related data at every stage of the work unit execution About Mindtree Mindtree is a global information technology solutions company with revenues of over USD 400 million. Our team of 11,000 experts engineer meaningful technology solutions to help businesses and societies flourish. We enable our customers achieve competitive advantage through flexible and global delivery models, agile methodologies and expert frameworks. www.mindtree.com ©Mindtree Ltd 2012