Unified data operations is the holy grail for understanding customers. Find out common obstacles to unified operations and what companies can do to overcome them.
Digital transformation efforts introduced complexity, but that isn't the end of the transformation. Read on to discover what retail/CPG companies need to know to simplify and operationalize data once and for all.
Retail business intelligence allows companies to offer unprecedented customer experiences and value to consumers. Read on to discover some creative ways retail has taken advantage of modern BI platforms and what a data operating system could offer.
Companies have data but struggle to find insights that impact company goals and decisions. Read to discover how finding hidden value in data by making it usable and accessible can transform how companies operate.
Companies need a new plan for governance--one that completely rethinks how to protect data while democratizing access. Read on to discover what it's going to take to build a new era in data governance.
Many people think DataOps is simply DevOps applied to data, but in reality it's so much more. It's a management framework that considers the unique aspects and needs of data. Read on to discover how DataOps can streamline, automate, and continuously improve your data lifecycle.
We're entering the golden age of data science. Companies know they need digital transformation but are wary of disrupting business operations. Luckily, with a data operating system like DataOS, they can transform their data stack while maintaining business productivity. Find out how.
Metadata is another asset companies can use to drive value from all their data. Right now, few companies excel at leveraging this asset, but with a modern data strategy, metadata shines. Read on to discover how.
Having all the quality data in the world won't matter if stakeholders can easily access the data they need for data-driven decision-making. Find out why data access is almost more important than data itself and what companies can do to free their data safely.
The old way of managing data isn't working anymore. It prevents enterprise scale and invites unnecessary security risk. Read on to find out three ways The Modern Data Company thinks about data differently and why it matters.
Legacy systems hide valuable insights, but most organizations don’t have the right architecture to access them. Read to discover how a data operating system can integrate Legacy systems without rip and replace.
Distribution and supply chain struggle with myriad complexities, but secure data sharing between all partners could be the key to unlocking insights. Read how companies can accomplish this with one solution.
Inventory management in distribution and supply chain requires quality and consistent real-time data. Here's how to make that happen even with complex supply chains, partner data, and tightening regulations.
Freeing data while ensuring top-notch security is possible for retailers through a data operating system. Read how retailers can achieve real data insight with security-first DataOS.
Legacy warehouses and lakes hold valuable data but can strain retail operations and Customer 360 goals. Read on to find out how a data operating system can solve these challenges.
As industries go through digital transformation, healthcare can’t afford to be left behind. Read to discover how a data operating system offers the composable infrastructure healthcare needs to handle the big data boom.
Healthcare companies focus on data security, but data integrity is also a key component of healthcare digital transformation. Find out the differences between data security and integrity and how they work together to provide top-quality care to patients.
Enterprises are adopting agile methodologies to reduce bulk and adapt quickly. Collaborative intelligence makes it possible. Here’s how.
Companies can build next level intelligence by leveraging four distinct pillars. This is what enterprises need to know to build powerful analytics.
Modern Data CEO Srujan Akula explains the evolution of healthcare data management and how the industry can maximize value while protecting its most precious asset.
A bulletproof data strategy requires more than IT support. The business side completes that strategy with these three actions.
Potential data insights and what companies can actually get from their data are two very different things. In fact, one frightening study suggested that more than 70% of data goes unused for decision making.
The past few decades have seen an explosion in the number of applications designed to help organizations manage data. It has become common knowledge that data is valuable—each shiny new data application promises to solve a problem, and if organizations are lucky, multiple problems.
Data is transforming city planning. But how do cities manage all the data at their disposal? A data fabric of course. Here’s how technology is spurring cities of the future.
People are the real resource, not tools. It’s time to let teams access the data they need. So how do organizations manage governance and encourage literacy at the same time? Here’s what to consider.
The only way to unlock data and future-proof a data solution is by adopting a genuine data fabric. This is how to know what is — and is not — a real data fabric.