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.
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.
Many products on the market claim to be a data platform, but a real data platform embodies these three non-negotiable core principles. Read on to find out what they are and why organizations should care.
Operational data offers a rich source of insight, but only if companies can unlock it. Read on to find out the one key ingredient required for unlocking operational data.
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.
Despite calls to abandon Customer 360 due to privacy and data quality concerns, companies don't need to give up the dream just yet. Find out why data siloes in retail are unique and how a data operating system could offer the right solution.
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.
Data lakes evolved from a cutting-edge theory to a mainstay in data management. As data lakes evolve, companies should explore what makes them so valuable in the first place and the newest solution that can bring out their fullest potential.
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.
Timeliness is a metric of data quality, measured by when data is available compared to when it is needed for analysis.
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.
Adopting a data-driven culture should be priority number one. These guidelines help organizations know for sure that they're moving in the right direction towards digital transformation.