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Avoiding the IT Pitfalls of Selecting the Tools before Governance

Strategic business initiatives often trigger one or more projects that involve IT, such as consolidating business applications, synchronizing disparate data systems to support a core business process, or, in this case, supporting data governance requirements. Many IT organizations struggle to meet business expectations, especially regarding how information is handled and controlled. This battle stems from the disorderly character of information — shifting sensitivity or significance standards, the changing functions of information producers and consumers, new or changing governance requirements, and the level to which information travels, to mention a couple.

All these problems stem from one root cause: data fragmentation.

Since data resides in disparate silos throughout the organization, the content, quality, structure, and definitions of data types vary as much as the silos that hold them. To ensure that company decisions and operations have been based on reliable, timely, complete, accurate, and insightful data, IT must facilitate convenient accessibility, integrations, and information delivery. Furthermore, today’s rigorous regulatory environment necessitates Data Governance’s prioritization to support auditing and reporting requirements over the rest of the business functions. Thus, making the challenge for IT still more overwhelming.

Modern data services platforms are core technologies that organizations use to pivot their offerings and behaviors from the most valuable and relevant data. Product ecosystems, business processes, and data governance become more useful when associated with a platform because data itself becomes the commodity rather than the technology.

Types of Data Service Platform Services:

When considering Data Governance initiatives, DSPs need to have, at minimum, the following types of services:

  1. Data discovery and search services
  2. Data integration services
  3. Data exchange services:
  4. Data collection and detection services
  5. Data utilization and curation services:
  6. Data management services
  7. Data quality services

In our next post, we will explore each of these seven DSP component services in detail. 

Until next time. /MC

Catch up with the Data Governance Series from this overview blog post. And as always, if you have any questions or would like to discuss your Data Governance efforts further, feel free to email or call myself or the Backup Tech team.