Business Problem

A report by Exasol shows that 58% of organizations make decisions based on outdated data.

And, just like oil, any data breaches or the equivalent “spills” of consumer information can be damaging to both businesses and their ecosystems. Particularly given the fact that we are now in the zettabyte era, with more consumer-generated data being created on a daily basis than at any time in history, the importance of embracing effective data security has never been more of an imperative for organizations, enterprises, and the individuals they serve

data swamps

Roughly 85% of data lakes fail, Gartner estimates, due to low-quality data.

Gartner estimates that poor data quality costs organizations an average of $15 million per year

80% of businesses that are data-driven are more likely to grow revenue

A Forrester Research study said that just 12% of the data companies have is used for analysis and less than 30% of companies say they can translate the data into action.

with so much data being collected, why is so little being used?

Aggregating all of this data and transforming it into a useful form is challenging even with automation

Without robust and reliable systems to scrub data for accuracy and turn it into usable formats that allow for complex queries and analysis, data can quickly become unusable at best and provide inaccurate results at worst.

vast majority of data that is collected is unstructured

Because unstructured data doesn’t adhere to standard data models, they are more difficult to interpret

As much as 80-90% of all data falls into the unstructured category according to the MIT Management Sloan School.

data lakes

data sits in unconnected siloes without the ability to quickly provide a single source of truth.

mixing on-prem data warehouses and cloud warehouses

moving data beyond just the domain of IT and data analysts. It needs to be accessible at both the executive level and on the front lines as employees make decisions.