Course Title: Data Analytics Function Setup – Strategy, People, Tools, Practices & Processes

Course Overview

The term “Analytics Function Setup” refers to the process of building and optimizing an organization’s capabilities to effectively exploit data and analytics. It entails developing a clear plan, putting together the correct team (people), choosing and implementing the essential tools and technology, establishing best practices, and defining efficient procedures.

 This course takes a comprehensive approach to establishing and optimizing an analytics unit inside an organization. You’ll learn how to connect analytics with strategic objectives, assemble a capable analytics team, choose and use the appropriate tools, create best practices, and define efficient processes. You will obtain the knowledge and practical skills needed to lead successful analytics initiatives through a combination of lectures, case studies, hands-on activities, and discussions.

By following this course outline, participants will be well-prepared to tackle the complexities of setting up and optimizing an analytics function within their organizations, ultimately driving data-driven decision-making and business success.

Learning Outcome:

  • Recognize the significance of aligning analytics with organizational goals.
  • Create a strategy framework for implementing analytics.
  • Determine key performance indicators (KPIs) and metrics that are relevant to corporate goals.
  • Create a cross-functional analytics team with the required competencies.
  • Recognize the duties and responsibilities of an analytics team.
  • Encourage a data-driven culture within your firm.
  • Analytic tools and platforms should be evaluated and chosen.
  • Configure and successfully implement specified analytics tools.

Target Audience

  • Business executives and leaders are in charge of strategy and decision-making.
  • Human resource specialists who work on talent acquisition and development.
  • IT and data engineers are in charge of tool selection and deployment.
  • Data scientists, analysts, and professionals who want to improve their analytics abilities.
  • Project managers and process improvement teams.

Toolkits

  • Strategic planning templates.
  • Business intelligence software for KPI tracking.
  • Analytics maturity models for assessment.
  • Job descriptions and competency frameworks for analytics roles.
  • Training programs for team members.
  • Change management frameworks.
  • Tools comparison matrices.
  • Implementation guides for selected analytics tools.
  • Data governance frameworks.

Course Details

  • Venue: Hybrid
  • Duration; 2 days
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