
Data scientists and analytics experts are much in demand and hard to locate, but how can you be sure you’ve got the best candidates, and what should you ask them? Google — […]
Data scientists and analytics experts are much in demand and hard to locate, but how can you be sure you’ve got the best candidates, and what should you ask them? Google — […]
Using Data Insights to Make Better Marketing Decisions and Drive Better Results Big data is a ubiquitous term these days. It seems as though everyone from marketing to tech companies to well-renowned […]
As Business owners, we need to regularly keep track of how our business is doing; keep an eye on the various activities and processes of our business; find out which areas are […]
Every industry is unique and has its own share of complexities and challenges. Their customers are unique, they have different marketing methods, they have different services and products, different budgets and goals. […]
What businesses should do to implement business intelligence (BI) systems responsibly The formal name for BI applications developed and managed by non-BI professionals is shadow BI. Such applications are usually created after […]
Get expert advice about managing data quality, public clouds, governance standards, and much more in your big data projects. Big data projects are well underway in most companies, but we are only […]
A project can fail for any number of reasons — some of which are in your control, some of which aren’t. In fact, I came across this fairly depressing list of 101 […]
While the interests in analytics and resulting benefits are increasing by the day, some businesses are challenged by the complexity and confusion that analytics can generate. Companies can get stuck trying to […]
Data scientists and IT push the limits of what’s possible — whether that’s operating more efficiently, taking advantage of new opportunities, or innovating. Here are 6 ways businesses can boost their effectiveness. […]
Be prepared to Wrangle – When dealing with “big data” (#bigdata), about 2/3 of you project time is spent getting access to the data, getting the right data, preprocessing the data, and […]