Does Your IT Organization have a Common Data Strategy?

Does Your IT Org have a Common Data Strategy?
Does Your IT Org have a Common Data Strategy?
You have to talk.

No, really, you do.

When it comes to data strategy, there is a growing divide between IT leaders and IT practitioners. New research from Informatica reveals a deep disconnect between IT executives and rank-and-file workers.

Consider this:

  • 61% of IT executives believe that improving data management strategy will help them be more responsive to customers. In contrast, only 42% of IT workers feel the same way.
  • 63% of IT executives say that effective data use enhances business agility. Only 41% of their IT workers agree.
  • 55% of IT executives regularly consult with business leaders on data management strategies. Only 17% of their IT staff do the same.

Why does this matter? Because if you can’t come together, it will hurt your business. Organizations that are smarter about data perform better financially. According to recent research by the Economist, organizations that use data strategically have a significantly higher EBITA (earnings before interest, taxes, and amortization) than those who do not.

Better data strategy? Better bottom line.

To drive revenue, IT executives and workers need to align around their data strategy. The Informatica ebook “Research: Data Drives Profit,” outlines all the evidence. In this eBook, we share four practices that fuel the strategic use of data.

Right Data, Right Time, Right Way

We now live in a data-centric world. When the right data is available and used at the right time, every application and every process becomes smarter than it was before. This, in turn, makes every person “smarter” as they make their daily business decisions.

In order to unleash your organization’s full potential, it is critical to think differently about your data:

  1. Data can no longer be defined by its source or application. Instead, data needs to be managed as an interconnected ecosystem spanning all applications, processes, computing platforms, devices, users and use cases.
  2. The data technology landscape will never again be a static standardized architecture. Instead, it will be constantly changing and adapting to incorporate new technologies or applications;
  3. With the consumerization of IT, companies are sitting on an ever-growing pool of data and technology skills, in both IT as well as the business. It is vital to harness all of this for the combined good of the company.

We want to know what you think. Reply in the comments and let us know whether you agree or disagree with the above statement and whether you think there’s alignment around it within your IT organization. (If you care to share your title or categorize yourself as an IT executive or IT staff member, that’d be helpful, too.) I’ll review the results and report out in a future blog post.