- The charter of any enterprise data effort…is going to be something along the lines of…improve the overall quality and usability…of our enterprise data.…However, that's a rather broad statement that by itself…doesn't really provide much guidance…about where the top priority should be…for your particular initiative.…To give you more precise guidance, then,…you can start by building a scorecard that helps you…objectively determine what's going right…in today's data architecture and also, on the other side,…what might not be working quite as well,…and therefore should be a focal point for your efforts.…
You need to track and evaluate…today's data environment, how data is being used…in reports and analytics,…and then how data from those reports and analytics…as well as your operational systems are being used…by employees today.…Your data environment has four different areas…that you can grade:…application databases, traditional data warehouses…and data marts, big data environments,…as well as key spreadsheets and personal databases…
Join Alan Simon as he shows how to build a top-notch enterprise data team, evaluate your data architecture, solicit feedback from business users and IT staff, and create a plan to manage your data going forward. He helps you build a portfolio of projects that align with business needs, and migrate your current data into a more modern big data environment.
- Compare and contrast big data technology and data warehousing.
- Explain the pros and cons of implementing enterprise big data technology.
- Understand the benefits of using a data-architecture team.
- Differentiate between master facts and master data.
- Identify the strategies used to sell a portfolio of data management initiatives.
- Recognize the roles and skills of each member of a data team.
- Recall the information required in a maturity model.
Skill Level Intermediate
1. Modern Enterprise Data Architecture
2. Your Data Architecture Team
3. Your Enterprise Data Landscape
4. Your Data Architecture
5. The Future of Your Data
6. The Future of Your Data Team
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