Making Data Intelligence Work at Enterprise Scale

Data has always been an asset. What’s changed is how quickly it can become a liability.

As organizations move into 2026, data estates are growing faster and in more places than ever before. Storage systems scale quietly. Cloud environments expand by default. And teams are often left reacting to cost spikes and risk exposure after the fact.

In customer conversations, the framing has shifted. The question is no longer how much data do we have? It’s where is it growing, what is driving that growth, and what should we do about it?

That question is shaping how we are evolving Data Insight.

Turning Data Estates Into Actionable Intelligence

Visibility alone does not drive outcomes. Teams need intelligence they can act on.

The next Data Insight experience is centered on giving teams a clear, operational view of their data estate. One that shows how storage is being used, how it is changing over time, and where redundant, obsolete, or trivial data is quietly inflating cost and risk.

When growth trends and ROT data are visible in one place, decisions change. Forecasting becomes possible. Cleanup becomes targeted. Cost optimization becomes ongoing rather than reactive.

This is where data intelligence begins to move from reporting to execution.

Designed for Faster, More Confident Decisions

As intelligence becomes more central, the way it is delivered matters.

Teams need to move quickly between questions and answers without navigating layers of complexity. The new Data Insight experience focuses on a modern workspace with clearer navigation and a more deliberate information structure, so insights are easier to find and easier to trust.

The result is a product that supports day-to-day work. Less time interpreting screens. More time acting on what the data is showing.

Keeping Visibility Intact as Data Spreads

Enterprise data rarely stays in one environment. It spans storage platforms, cloud services, and integrated systems that evolve independently.

As organizations adopt new infrastructure, visibility must extend with it. Expanding native connectivity ensures teams maintain oversight as data moves into new platforms, including modern storage and cloud environments that are increasingly part of enterprise architectures.

Consistency across environments is what allows intelligence to scale.

Building on a Stronger Enterprise Foundation

As Data Insight becomes more deeply embedded into enterprise operations, expectations rise. Performance, reliability, and security are no longer background concerns. They are prerequisites.

That is why this evolution includes meaningful investments below the surface. Stronger authentication models, including certificate-based security for critical integrations. A more robust data foundation designed for scale and reliability.

These changes are not cosmetic. They ensure that insight remains dependable as environments grow larger and more complex.

Looking Ahead

This moment calls for a more intentional relationship with data.

Not just seeing it, but understanding how it behaves.
Not reacting after costs rise, but anticipating growth.
Not managing data in fragments, but shaping it as a whole.

As data environments continue to expand, intelligence must keep pace. The next Data Insight experience is built with that expectation in mind.