Level: Beginner to Intermediate
Prerequisite: None
We’re buried in data and everyone’s discussing the power of analytics, the single version of the truth, self-service, and AI. 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, machine learning, and AI; aligns with the company’s strategy; and supports the individual’s responsibilities.
In this course, 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. He will discuss the different audiences, the approach of scoping and identifying needs, and even provide a framework for capturing and managing these details. You will also learn about the organizational changes required to support self-service and other user-centric data initiatives.
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