Data has become the heart of all businesses across the world. Organizations heavily rely on data assets for the decision-making process but unfortunately “100% clean
British mathematician Clive Humby has been credited with coining the axiom “Data is the new oil.” His pithy expression is frequently repeated – usually without
The amount of data compiled by a business can be overwhelming and as a result, many companies struggle to organize, analyze, define, protect and leverage
Data is more important than ever, but most organizations still struggle with a few common issues: They focus more on data infrastructure than data products;
Pandas is a very powerful and versatile Python data analysis library that expedites the preprocessing steps of data science projects. It provides numerous functions and
Pharma is big business, but what it’s not generally recognized is, in large part, a manufacturing business with complex supply chains, finicky chemical processes and
For many companies, a strong, data-driven culture remains elusive, and data are rarely the universal basis for decision making. Why is it so hard? Our
Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups working on solutions for railroads. As there is a large number of startups working
Data scientists are one of the most sought after roles in today’s technology organizations. Salaries are rising for this important role. In some IT organizations,
Data quality projects are becoming collaborative and team-driven. As organizations strive to accomplish their digital transformation initiatives, data professionals are realizing they need to work
Maybe there’s an executive demanding more visibility into your program, or perhaps you just want a better understanding of how things are going so you
There are many different tools that can use your data to improve content efficacy. However, most marketers waste time and resources trying to acquire every
