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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.
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.
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.
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.
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.
Companies looking to get their data under control may look to third-party services. Despite what they promise, the best solution to put data back in control of the company is a data fabric solution, not a service.
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.
A bulletproof data strategy requires more than IT support. The business side completes that strategy with these three actions.
Timeliness is a metric of data quality, measured by when data is available compared to when it is needed for analysis.
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.
We needed some time to process the events of 2020. Here are four important lessons we've taken away from the year of disruption, plus one ultimate life lesson that will always be with us.
Don’t power your innovative solutions with bad data. Power them with secure, governed and high-quality data every time.
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