Prerequisite: None
Evan Levy
CBIP
Partner
Integral Data, LLC
Evan Levy, CBIP, is a management consultant in enterprise data strategy, data management, analytics, and systems integration. Business is experiencing exponential growth in data volumes, sources, and systems. Evan advises clients on strategies to address business challenges using their existing data and technology assets coupled with new and creative methods and practices. With more than 25 years of experience consulting with clients, Evan leads classes and workshops offering practical, real-world experience to address challenges in a manner that utilizes existing skills coupled with new methods to ensure IT and business success.
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