- How well your organization makes use of reporting tools…can make or break an enterprise data initiative…because many business users view…enterprise data through a reporting lens.…This is their one and only mechanism…by which they interact with and make use of your data,…as they use reports and analytics…to make critical business decisions.…When their reports and analytics serve them well,…they tend to have a positive perspective…on your enterprise data.…On the other hand, if their reports and analytics…are problematic or perhaps even all but useless, to them,…your enterprise data environment is equally all but useless.…
Even if all of the data still keeps the business running…via your operational systems.…When we talk about reporting,…we need to take a comprehensive view of…different classes of data usage,…such as production reports, ad hoc queries,…dashboards and other business intelligence capabilities,…predictive analytics, and what-if analysis.…Regardless of what types of reports…and analytics you're looking at,…
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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