Power & Utilities GAP-FIT model 10 Week Assessment

ADD d.o.o.

add.BI Power & Utilities GAP-FIT model assessment is a framework for the power companies looking for Data & Analytics best practices implementation in Azure

Unlock the immense potential of your digital transformation by implementing an integrated value chain powered by Analytics in Azure:

  • Monitor Strategic & Operational KPI‘s relevant for your business
  • Seize opportunities through deep operational insights
  • Trustworthy & integrated data for confident decision making
  • Integrated data view (actuals, budget and forecasted data)
  • Tune business processes for minimal cost and risk
  • Flexible Azure architecture to satisfy your needs today and tomorrow
  • Capitalizing on data as an asset to deliver innovative services/products

Nevertheless, what is your role as a power &utility company (generation, transmission, distribution, trade, supply), with add.BI Power & Utilities GAP-FIT model assessment we provide a complete overview of your business processes:

  • We speak the business language and know the business processes
  • We help you ask the right business questions
  • We have reference dimensional models
  • We provide reference KPI’s, Reports, Analysis
  • We identify GAPs & propose solutions

Upon the assessment we provide you with key takeaways:

  1. AS IS report
  2. TO BE specification with proposed Azure architecture (Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Synapse, Power BI) and implementation approach
  3. Initially identified GAPs
  4. Long term Investment Plan for potential projects
  5. Priority List of Projects
  6. Priority 1 Project Implementation Plan

Timeline- Agenda:

  • 1st - 3rd week: Envisioning Workshops to identify customer needs and to propose best practice from the business perspective
  • 4th - 7th week: Proposed solution architecture development and business context
  • 8th-10th week: Final revision with the customer, Assessment presentation, next steps proposals

Price and Scope will vary depending on the requirements, size and complexity.