Anyone who works with data knows that it’s long past time for data catalogs to catch up with the rest of the modern data stack. Data is no longer consumed primarily by the IT team. Today, data teams include data analysts, data scientists, product managers, business...
When people start a conversation about legacy systems, there’s a good chance that replacing the system comes up. And why not? Legacy systems don’t always have the newest bells and whistles, and they may not immediately signal a tech-forward business strategy....
Imagine losing billions of dollars each year simply because of a lack of visibility. This is a reality for distribution and supply chain organizations thanks to incomplete shipment data. In an industry already running on the thinnest margin, industry leaders are keen...
The Industrial Internet of Things is shaking up the world of manufacturing and all of its supply chains. Thanks to IoT devices and the steady rollout of 5G connectivity, companies have an unprecedented look into the health of the shop floor, can monitor for...
Traditional ways of doing business are a death sentence for modern companies. In the 1950s, Fortune 500 companies had a life expectancy of at least 60 years, but today, they’re expected to last fewer than 20 years. What has led to this change? Today, companies must...
Data privacy is a challenging issue. With an increasingly wary public, the knee-jerk reaction is to lock data down. This is a mistake, because it restricts data analysis and all the benefits it can bring. Companies must balance privacy concerns while freeing up their...
Timeliness is a metric of data quality, measured by when data is available compared to when it is needed for analysis. Harvard Business Review estimates that poor-quality, out of date data costs US businesses $3.1 trillion per year. Yes, you read that correctly...$3.1...
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. Several obstacles to data insight include the wrong tools,...
Adopting a data-driven culture is priority number one for many organizations. However, it can be challenging to know whether this shift has been accomplished. Becoming truly data-driven isn’t just about the technology. A company must create a data-driven culture to go...
Making the shift to data-driven infrastructure seems like the obvious choice for enterprises. However, significant challenges exist in extracting real value from the data companies already have. Data complexity along with the combination of legacy systems coupled with...
