Is your business drowning in data, yet starved for actionable insights? Or worse, are your legacy systems holding your data hostage? Unquestionably, I’ve seen this scenario play out countless times, and frankly, it’s less a “predicament” and more a self-inflicted wound stemming from a lack of a truly data-centric approach to doing business. For too long, we’ve treated data as a mere byproduct of our Enterprise Software, not a strategic asset. The result? Data silos, duplication, and inaccuracies that complicate corporate strategies, not a durable asset brimming with corporate insights.

Without a doubt, there’s a better way. A data-centric approach isn’t just a buzzword; it’s the strategic pivot your organization needs to achieve genuine agility, establish “one truth,” simplify operations, and ignite true technological innovation. In this article, I’ll look at what data-centricity is and what it’s absolutely not. Also, I’ll explain why an organization cannot be both application-centric and data-centric simultaneously. Lastly, I’ll identify data-centricity’s top six benefits that will fundamentally transform your business. Without a doubt, it’s time to stop merely managing data and start mastering it. Are you ready to fundamentally rethink your entire data strategy?

1. Data Centricity: What It Is, and Why Businesses (and Their Software) Need This New Approach.

For decades, we have allowed Enterprise Software to dictate how we treat our information. The result? Business data has become a mere by-product—siloed, ambiguous, and stripped of its potential insights. But a shift is happening. Forward-thinking businesses are realizing they must prioritize their data over their applications. By adopting a data-centric approach, you stop treating information as an afterthought and start wielding it as a permanent, strategic asset. Below, I’ll explain what Data Centricity truly is and why rethinking your application-centric mindset is the only way forward.

a. What Does It Mean to be Data Centric?

First, let’s get a better understanding of data-centric with a definition:

“… an architecture where data is the primary and permanent asset, and applications come and go … the data model precedes the implementation of any given application and will be around and valid long after it is gone.”

TDAN, The Data-Centric Revolution: Data-Centric vs. Data-Driven

I like this definition because it defines data as a key permanent asset for businesses. Specifically, this definition tells us that technology, software applications, and automation will come and go, but our data will never grow obsolete. Indeed, data is a permanent business asset that businesses do not need to constrain within any particular technology or software application.

“Data is a precious thing and will last longer than the systems themselves.”

Tim Berners-Lee

b. Enterprise Software Reality Check: 6 System Types That Restrain Corporate Data.

It is a fact, that our Enterprise Software excels at driving operational efficiency and being a system of record. However, our enterprise systems often struggle to keep pace with modern businesses that require on-demand insights to make rapid, informed decisions in today’s volatile world. To detail, below are six categories of Enterprise Software and the reasons that they are failing us.

Why Enterprise Software Yields So Few Insights

Agile Supply Chain Decision-Making: First You Need to Know The Truth About Enterprise Software

• Execution Systems – ex. WMS, TMS: These siloed systems are not designed for cross-functional, executive decision-making.
• Visibility and Tracking Solutions: Identifies problems, not solutions.
• Planning and Modeling Software: Lacks agility and does not work directly with decision-makers.
• Analytics and Knowledge Tools: Short on practical utility for rapid, informed decision-making.
• Back-end and Customer Support Business Systems: Isolated data silos, not designed for quick access for corporate-wide decision-making.
• Business Automation – BPA, RPA, Personal Assistants, Autonomous AI: Designed more for automation support, not decision support.

The bottom line is this: legacy enterprise software treats data as an incidental byproduct rather than a permanent, strategic asset. Instead of actionable insights, it delivers massive data overload. It is no wonder that, despite millions spent on complex business systems, I constantly see decision-makers forced to run their supply chains on MS Excel and gut instinct. For a full breakout of why Enterprise Software yields few insights, see my article, Agile Supply Chain Decision-Making: First You Need to Know The Truth About Enterprise Software

“We are surrounded by data, but starved for insights.”

Jay Baer

2. What Data Centric Is Not.

You Need To Think Data Centric To Be A Successful Business: Stop Being Data Driven, Application Centric

To better understand what data-centric is we need to understand what it is not. In fact, this is critical because for an organization to start being data-centric, it will need to break some of its existing habits. See below, for a comparison of data-centric, data-driven, and application-centric.

• Data-Driven Approach. This mindset creates data overload and data silos. Nowadays, it is a given that all modern businesses use data and are “data-driven”, transitioning away from paper-based processes.
• Application-Centric. In this case, data is treated as an output at best, and worst as a by-product.
• Data-Centric. This mindset treats data as a business asset, not a by-product.
• Bottom Line: You can’t be both application centric and data centric.

For more details on the difference between “data-centric”, “data driven” and  “application centric”, see my article, You Need To Think Data Centric To Be A Successful Business: Stop Being Data Driven, Application Centric.

“You can’t be both application-centric and data-centric.”

3. The Six Benefits Of A Data-Centric Business.

I won’t pretend that rewiring an organization from an application-centric mindset to a data-centric one happens overnight. It is a heavy lift. However, the beauty of this transition is that you don’t have to wait until the finish line to see the ROI. The moment you start treating your data as a primary asset, the operational benefits and insights begin flowing immediately. These data-centric benefits include:

Data-Centric Benefits: Businesses Becoming More Innovative By Not Being Mired In Application Centricity

• Superior Business Agility: Not chained to data silos or legacy applications
• High Confidence In Data: There Is a single source of truth (SSOT) vs multiple versions or copies
• Improved Decision-Making: Having high-quality data that is complete, accurate, timely
• Simplified Software: Lower costs, increase reuse of code
• Faster Adoption of New Technologies: Such as AI, IoT, and other data-centric information technologies
• Streamlined Data Security, Integration, And Analytics

Without a doubt, a shift to a data-centric way of thinking will differentiate those businesses that will thrive and those that will be left behind. In my article, Data-Centric Benefits: Businesses Becoming More Innovative By Not Being Mired In Application Centricity, I’ll look at six advantages of businesses adopting a data-centric mindset. This is a business way of thinking that maximizes data insights and enables rapid tech adoption for a competitive advantage.

“The moment you start treating your data as a primary asset, the operational benefits and insights begin flowing immediately.”

More References.

Also, for more details and perspectives on businesses taking a data centric approach, see Kevin Doubleday blog posting Introduction to Data-Centricity. Lastly, to get started on your data transformation journey, see my article, A Data-Centric Business Strategy Checklist: The Way To Energize A Digital Enterprise To Be More Agile, Bold, And Simplified.

• Data Centricity Introduction: Kevin Doubleday blog posting Introduction to Data-Centricity.
• 5-Step Data-Ready Strategy: The Data-Ready Shift: A 5-Step Strategy for Trusted, On-Demand, and Cost-Effective Insights.

The Data-Ready Shift: A 5-Step Strategy for Trusted, On-Demand, and Cost-Effective Insights

Need help with an innovative solution to make your supply chain data ready? I’m Randy McClure, and I’ve spent many years solving data readiness challenges to help decision-makers gain better, faster insights and for organizations to leverage data-intensive technologies. As a supply chain tech advisor, I’ve implemented hundreds of successful projects across all transportation modes, working with the data of thousands of shippers, carriers, and 3rd party logistics (3PL) providers. I specialize in pilot projects and program management for emerging technologies. If you’re ready to modernize your data infrastructure or if you are a solution provider, let’s talk. To reach me, click here to access my contact form or you can find me on LinkedIn.

For more articles from SC Tech Insights, see the latest postings on Data Readiness.