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.
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.
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.
Organizations have mastered collecting data, but unlocking insight has proved to be challenging. It's time to discover why this difficulty occurs and what businesses can do to unlock their data's full potential.
Data is a crucial enterprise asset, but insight depends on digital transformation. Find out why data normalization is a must-have building block for building a data-first organization.
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.
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.
Quality real-time data with 10X ROI at 1/10th of the cost? It’s a Christmas miracle. Find out how we’re making it possible.
Enterprises must move like small companies to operate in the modern world. Here’s the secret to even the largest enterprises operating with agility.
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.