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Course Description

T3 Data Strategy Bootcamp // Building Your Company’s Analytics and Data Warehouse Plan

February 14, 2023

8:00 am - 5:30 pm

Duration: Full Day Class

Level: Beginner to Intermediate

Prerequisite: None

Evan Levy

CBIP

Partner

Integral Data, LLC

We’re buried in data and everyone’s discussing the power of analytics, the single version of the truth, and self-service. Unfortunately, your current approach is to react to the latest challenge, problem, or surprise. You need a plan—and you need to learn how to build one quickly.

Our analytics environment is a collection of data, tools, and technologies. We’ve not enabled business analysis; we’re training everyone to become a data developer. We need an environment that has a cohesive plan that delivers easy-to-find data, enables self-service, aligns with the company’s strategy, and supports the individual’s responsibilities.

In this session, Evan Levy will review the phases of developing an analytics/DW roadmap and the tactical activities of planning, scoping, and organizing analytics and data initiatives. We’ll discuss the different audiences, the approach of scoping and identifying needs, and even provide a framework for capturing and managing these details. We’ll also talk about the organizational changes required to support self-service and other user-centric data initiatives.

This is part of an optional Data Strategy Bootcamp. Learn more about the courses offered, or attend this individual course.

You Will Learn

  • The common issues and needs that reflect the necessity for an analytics/data plan
  • Activities for gathering user needs and requirements
  • Managing and prioritizing needs using an analytics portfolio
  • The strengths and challenges of different development methods (agile, iterative, waterfall, etc.)
  • Identifying the core technology components of the environment
  • Organizational roles and responsibilities involved in an analytics and data initiative

Geared To

  • BI/DW project managers
  • Business analysts
  • Data analysts
  • Data architects
  • Data warehouse developers
  • BI/analytics stakeholders

The clock is ticking.

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