Digital Transformation

Five takeaways from Money20/20 on how credit unions are approaching AI, member experience, and trusted data.

Move beyond consulting-led data modernization with a reusable, governed data foundation that accelerates enterprise AI while reducing cost and dependency.

Effective data products start with purpose, quality, and design. See what separates data products that get used from those that collect dust.

Choosing a data management solution is complex. Learn how to evaluate data lakes, warehouses, and modern systems based on your actual business needs.

It typically provides a scalable and flexible infrastructure for storing, processing, and analyzing big data and should also include features that support data management, data protection, and data governance.

Healthcare organizations collect the data—but struggle to use it. See how modern data platforms reinvigorate analytics and improve patient care.

Data debt compounds like technical debt—and costs more than most realize. Learn how to identify, manage, and reduce it before it stalls growth.

A smarter approach to technical debt payoff-structured prioritization, legacy system visibility, and a clear path to smoother data migration.

Technical debt doesn't get cheaper with time. Start paying it down today with practical steps to reduce risk and modernize without disruption.

It prohibited states from disenrolling individuals from Medicaid while the public health emergency (PHE) was in effect, a condition of a temporary increase in the federal Medicaid match rate.

The cost structure of the cloud is fundamentally different than that of on-premise platforms, and the difference is not always guaranteed to be in favor of the cloud platform.

One last factor that is tied to the prior two is that Southwest ends up with planes, pilots, and crew scattered everywhere to support its unique style of operation.

The tools are used as a way to enable non-experts to do more for themselves and to free up experts to focus on other things than supporting users’ basic needs.

Self-service analytics promises a lot—but scaling it safely is harder than it looks. Explore what it actually takes to make it work.

Your most-read posts of 2022—Customer 360, data integration, and the enterprise data challenges you were most focused on solving.

CDPs struggle with silos, governance, and tech debt. See how a data operating system fixes the gaps and makes your customer data platform actually work.

Banking and capital markets are competing on customer experience. See how real-time data and analytics power the next generation of financial services.

Fragmented public health data costs lives. See how a data operating system creates the interoperability and standards needed for real crisis response.

Gartner's 2022 data trends mapped to real enterprise outcomes—how data fabric, AI, and cloud systems moved from prediction to production.

HIPAA-compliant cloud is doing more than protecting data—it's driving healthcare innovation, improving patient care, and enabling new capabilities.

Gartner's 2023 strategic tech trends decoded—how digital immune systems, AI TRiSM, and observability translate into enterprise performance gains.

AI or automation—does the difference matter? Understand the key distinctions and how businesses are using both to drive faster, smarter decisions.

Digital transformation in manufacturing starts with data. See how smart factories are boosting efficiency, cutting costs, and driving real ROI.

Manufacturing's next competitive edge is data. Learn how predictive maintenance, efficiency gains, and smarter decisions start with better data.

Supply chain failures cost billions annually. See how real visibility across suppliers reduces risk, eliminates bottlenecks, and builds resilience.

When data strategy and business strategy are misaligned, decisions suffer. Here's how to close the gap and drive real efficiency.

Supply chain data management has moved beyond visibility—it's now about value. See how intelligent data systems improve resilience, speed, and decisions.

Six functions every modern data platform must deliver—and how getting them right reduces fragmentation, improves efficiency, and unifies your data.

The story of our brand is the story of Modern. See how a new way of thinking about data and results drove a bold refresh from the inside out.

Digital transformation needs a data model to match. See why strong modeling is the foundation for clarity, governance, and enterprise consistency.

Not all organizations are ready to offload their ETL pipelines. Unless decision-makers are also tech experts, they may not realize that ETL pipelines continue to exist within their data stack.

Companies must make strategic decisions to unlock their data for real-time use to everyone—yes, everyone—in the company that needs it. Here's what to know.

Data is a 30% tech problem and 70% people problem. A successful data company can’t be built without immense empathy towards the customer and the people issues within customer organizations.