Join Alan Simon for an in-depth discussion in this video Refine your data portfolio, part of Big Data Foundations: Building Architecture and Teams.
- [Voiceover] Even though most people would agree, in concept, that technology is a powerful enabler of business, you'll likely to run into challenges when trying to expand the footprint of your enterprise data program into some business rounds across your enterprise. Still, you need to broaden out your enterprise data initiative as much as possible for the simple reason that that's exactly what you're chartered with addressing, data management across the enterprise. Start with your initial list in which you've aligned your techonology initiatives with specific on the books projects. As we saw earlier, here are two specific examples, one for the Supply chain data mart rebuild and the other for Big data analytics, each of which has several enterprise data initiatives associated with it.
Now, after you've taken a look around your company to see what business initiatives are out there, it's time to ask some very specific and important questions. If you have a large ERP, Enterprise Resource Plannning initiative, on the drawing board or in the earliest stages, ask how SAP or Oracle Fusion or whatever ERP platform is being built will be handling master data, both within that platform as well as integrated with the master data of other key components around the enterprise. Ask how the strategic sourcing initiative intends to make use of supply chain data, perhaps from several different supply chain management or SCM packages.
Ask if the data drawn from social media listening is planned to be integrated with ecommerce and retail store data to deliver that enhanced view of a customer that your company has struggled to obtain for a long time now. Now, go to revise business focus project list that not only includes the on the books projects you've already listed, but now also includes projects that might still be on the drawing board. As you see, you're still linking specific enterprise data initiatives with each one, so that aspect of aligning technology with business efforts remains the same.
Go through your entire project list and make the necessary revisions and refinements. Recognize that even after you're done, your project list might still evolve, but at this point, you're almost ready to move from the planning stages to start building out your organization's next generation of enterprise data management.
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.