Financial Services

Enterprise Data Warehouse Production Support for Ab Initio

Enterprise Data Warehouse Production Support for Ab Initio

A Fortune 500 Direct Banking and Payment Services company needed support of its Enterprise Data Warehouse covering time critical business lines including Campaigns, Payments, Banking and Rewards.

Client Challenges and Requirements

  • Meeting SLAs due to high volume and complexity of the system.
  • To support ongoing growth in production of 16000+ Ab Initio graphs with optimal resources.
  • Executive committee having very low visibility in the overall status of project.

Bitwise Solution

  • Provided Consolidated Support covering all the business lines by providing around-the-clock availability.
  • Maintenance and Support of 16000+ Ab Initio jobs.
  • Addition of small effort enhancements along with support activity.
  • Proactive identification of delays and generating early warnings for SLA streams.
  • Elimination of manual processes by achieving automation.
  • Building knowledge repository of business-critical applications.
  • Dark Data Element Discovery – identify and cleanup of dormant jobs and dead code.
  • Fine tuning long running jobs (code and scheduling optimization).
  • Extensive reporting giving complete insight of support health.

Tools & Technologies We Used

Ab Initio
UNIX Shell Scripting
Teradata SQL
PL-SQL
Tivoli Workload Scheduler
Autosys

Key Results

Reduction in overall  support cost by 40%  with improved  turnaround time

Reduction in overall support cost by 40% with improved turnaround time

Optimized processes  meeting 99% SLAs  and manual intervention  reduced to 5%

Optimized processes meeting 99% SLAs and manual intervention reduced to 5%

Achieved year on year  reduction in support  efforts and increase in  small effort task deliveries

Achieved year on year reduction in support efforts and increase in small effort task deliveries

Reduction in job failures  and re-execution efforts  achieving 1% job failure  ratio

Reduction in job failures and re-execution efforts achieving 1% job failure ratio

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