Organizational needs are changing, and data professionals are rethinking what they really need from an analytics database. With a whole new group of leading NoSQL databases, there are alternatives for storing and managing data.
- By Troy Hiltbrand
- July 19, 2016
With the popularity of data science, schools around the world are training students in the necessary technical capabilities. In addition to these skills, future data scientists need certain personality traits to be successful.
- By Troy Hiltbrand
- June 13, 2016
Finding common attributes to join customer data across multiple data sources is extremely important, but it can be time consuming and challenging. Thankfully, there are methods and tools that can help in this process.
- By Troy Hiltbrand
- June 6, 2016
Effective data preparation depends on recognizing how to handle what we know and what we don't know about a set of data. Our goal as analytics professionals is to make less unknown and more known.
- By Troy Hiltbrand
- May 17, 2016
Filling the gaps in data can mean the difference between an analytics project's success and failure. Choosing the right method is a combination of art and science that requires understanding the business, the data, and the targeted decision.
- By Troy Hiltbrand
- May 9, 2016
Outbound marketing programs struggle to effectively connect with customers, but with advanced analytics, these programs can be greatly improved.
- By Troy Hiltbrand
- April 19, 2016
Credit card fraud is on the upswing, impacting consumers and every company that handles credit card transactions. What can an enterprise do to prevent it and protect itself and its legitimate consumers?
- By Troy Hiltbrand
- April 14, 2016
Transform your BI system from one that informs to one that compels your audience to take action.
- By Troy Hiltbrand
- April 4, 2016