Generative BI Data Analytics

Title : Generative BI Data Analytics.

Location : West Sacramento, CA (Hybrid - 2 or 3 days onsite per week)

Duration : 12 Months

Summary :

An experienced team with detailed knowledge and experience of designing and building Business Intelligence & Data Warehouse (BI&DW) architecture / platform with the capability of Generative Business Intelligence (GenBI), which is the evolution of traditional BI by combining Artificial Intelligence (AI), Machine Learning (ML), and Generative Artificial Intelligence (GenAI) with traditional analytics tools to provide deeper insights, predictive analytics, and automated decision-making capabilities. Furthermore, CalSTRS seeks to drastically accelerate the development and deployment of BI, AI, or GenBI use cases by adopting and integrating agentic AI capabilities into this To-Be enterprise-level GenBI / agentic AI platform. The consulting team (hereafter Contractor) will evaluate and provide actionable recommendations for CalSTRS BI&DW data governance framework and standards to manage and ensure the quality, integrity, and security of data used in GenBI systems, demonstrate the value and benefit of GenBI through identification of impactful GenBI use cases from various CalSTRS business areas, and plan for the adoption of GenBI / agentic AI capabilities to help advance CalSTRS existing BI&DW platform toward GenBI.

1. Minimum Mandatory Qualifications :

• The Respondent's team must have successfully performed in at least one (1) BI and / or DW engagement having a total project budget of $20 million or more.
• The Respondent's team must have at least five (5) years of experience identifying BI use cases and creating Key Performance Indicator (KPI) analyses, risk analysis, prioritization matrix, and implementation roadmaps.
• The Respondent's team must have at least one successful development of enterprise-wide Data Governance frameworks, policies, standards, and implementation plans.
• The Respondent's team must have at least three (3) years of experience of designing & implementing AI or ML use cases.

Desired Technical Qualifications :