Data Analytics Modernization: More than a Trend

Across every sector, the pandemic has put unprecedented pressure on organizations to work more efficiently. Governments, nonprofits, and businesses alike are searching for ways to collate their data, perform better analysis, and discover more effective ways to accomplish their goals.

The unexpected consequence of all this is that many organizations are rethinking their data architecture. “Modernization” might feel like a buzzword, but it’s more than just another digital trend. Here’s what it means and how it leads to better outcomes for sectors as different as education, healthcare, government, and industry.

What Is Data Analytics Modernization?

If you want to modernize your data analytics, you’re really setting out to accomplish three things:

  • Improve data accessibility
    Your data should be well-organized into a single, accessible system. You want one source of truth for information, rather than having to hunt through multiple systems, and you want access to this data on demand.
  • Migrate data into the cloud
    Cloud-based data allows you to easily access information from across your entire organization or from additional parties that can provide the data you need.
  • Secure your data and information
    Modernizing your data architecture means keeping it safe and secure. For many sectors, that means keeping it in compliance with industry regulations as well.

Once you’ve accomplished these three benchmarks, you’ll be able to use artificial intelligence to analyze your data. You’ll be able to uncover new opportunities and improve your organization’s efficiency. But only after you’ve modernized.

Who Benefits from Data Modernization?

Everyone!

No, really. Modernization has yielded some pretty exciting results from some very different sectors. For example, the CDC has used data modernization to analyze massive amounts of raw information in order to identify trends that affect public health. Insurers are also discovering the power of modernization to assess risk among the insured.

Governments, too, see the value in modernized data analytics architecture. So much so that the federal government is putting big money into making the shift, despite the difficulty posed by legacy systems. The benefits of modernizing are simply too great to ignore, especially when it comes to making critical decisions.

We see a similar shift happening in higher education, where colleges and universities keep a close watch on trends to understand student behavior, as well as to build out their workforce. Like many institutions, schools face the challenge of having a wealth of information without the analytic power to understand what it means. But modernization is helping to close that intelligence gap.

Finally, there’s the for-profit sector, as businesses look to sharpen their competitive edge through modernization. The improvements made possible by taking these steps help businesses increase efficiency, yield a higher ROI, and better understand the markets they serve—all of which are good for the bottom line.

Get Expert Help to Modernize Your Data Analytics

Modernization isn’t a trend; it’s a revolution in how data is analyzed and used. Chances are your organization already has the information you need to make better decisions, improve efficiency, and serve your stakeholders better. If you want to move past data as byproduct of doing business and get real value from it, think modernization—and get the architecture to take full advantage of the data that you’ve collected. We can help you get there.

Find out how modernization can benefit your business with our Strategic Data Roadmap.

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