Unified Data Means Greater Consistency and Control
Blog: The Tibco Blog
Reading Time: 2 minutes
According to recent reports, even though companies are gathering and storing a lot of data, most companies don’t consider themselves “data-driven.” The biggest obstacle cited to becoming data-driven is that they lack the right software tools to collect, synthesize, manage, and govern their data. In this blog, we’ll introduce you to a recently published ebook by O’Reilly Media, “Building a Unified Data Infrastructure”, that shares why you need a unified data infrastructure and other best practices to help you become a truly data-driven organization.
Many organizations have tried to address this issue by creating large data warehouses to use as analytics data stores. The problem with that approach is that many set up multiple data warehouses, and once a data warehouse is set up, it’s a laborious process to make changes or add data to it. For known data and known use cases, they work well. But with the rise of self-service analytics and ad hoc requests for data, organizations can’t fulfill those requests quickly enough. The result is that the process can be cumbersome, slow, and costly. This is why many companies are turning to master data management and data virtualization.
First Challenge: Data Must Support Operations, Analytics, and Governance
The first challenge you face when building a robust and effective data infrastructure is that there are three different contexts in which data is used within an organization:
• Operations (running the business)
• Analytics (understanding the business)
• Governance (controlling the business)
Each of these areas has its own unique data requirements and challenges, yet you somehow have to build a data infrastructure that fulfills the needs of all of them. In this ebook, you’ll learn why it’s best to have a holistic, unified data infrastructure and best practices for combining MDM, RDM (reference data management), and data virtualization to create a cohesive environment to address all the above use cases at once.
A holistic, unified data infrastructure also builds a cohesive data environment that allows for seamless access, integration, and sharing of otherwise siloed sources of data. Having a unified data infrastructure provides both control of the data and visibility into where the data is, what it is, and who is doing what with what parts of it.
It’s Not All About Technology
It’s important to remember that, ultimately, having a cohesive data environment is not just a technology problem. It’s also about people and processes. You need to first establish a vision and a roadmap to reach that vision. Download this ebook for more on how to start you on your journey towards better data.
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