Analytics & Data Governance

Client located in Africa

Assess Analytics Maturity & Develp ToM & Roadmap
  • Strategy
  • Organization
  • Governance
  • Demand Management
  • Architecture & Roadmap
  • DWH Recommendations
  • BI Tool evaluation
  • Alignment to Bank’s PMO
  • Stakeholder Management
Data Exploration, Preparation & BI Reporting
  • Data + BI Project Delivery
  • Bank wide MIS Demands
  • DWH fixes & enhancements
  • Data Model Enrichments
  • Data BI resource Ramp up
  • Business IT Collaboration
  • Transfer from IT DM (40%)
  • Streamlining DWH Ops
  • Data Governance Foundation
Data
Insights Foundation
  • Focus on Compliance & Business Requirements
  • Common Semantic
  • Reference Data
  • BI Dashboards
  • BI Self service Foundation
  • Data Quality Foundation
Data
Insights Analytics
  • Focus on Business Outcomes
  • Business Use cases
  • Analytics Competency Build up
  • Big Data Foundation
  • Sandbox

Client located in the Middle East

Challenges

  • The company embarked on a BI journey in 2014 with little success
  • Teradata was implemented twice with suboptimal application
  • Techno functional expertise was lacking in the organization
  • Businesses & departments access information from disparate sources
  • Absence of robust data capabilities posed risk to future growth, compliance, & efficiency

Solution Delivered

  • Data Strategy :
    A comprehensive BI & Data Strategy aligned to the overall corporate strategy of the Bank
  • Data Governance & Quality :
    Robust policy framework & processes to ensure ongoing integrity of data & reporting.
  • Demand & Supply Management :
    Process developed for Business Requirement Documents (BRDs), prioritization, and resource optimization for effective delivery to ends users
  • Analysis & Analytics :
    Developed analytics standards, dashboards, reports, formats, & methodologies. Developed reports & visualizations for various units in the Bank.
  • Organization :
    Created formal BICC organizational framework and organization
  • Business Partnership :
    Appointed specialists for business/functional areas, identifying appropriate data use and data structures required for analysis