Data Analysis
Articles on How to Analyze Data, Make Data Discoveries, Best Practices, and News
3 Reasons Everything in Business is About to Change
There are three important patterns happening in the world that will ultimately change business in fundamental ways: where it is done, how it is done, and who does it. An article from McKinsey Quarterly, Management Intuition for the Next 50 Years, documents these...
2 Questions to Ask about Your BI Project
If you are considering a Business Intelligence Project, there are two questions you should consider. These questions will help you pinpoint what exactly you may need to do with your BI project, as opposed to simply getting "analytics" or "implementing a BI tool"....
“Small Data” Revolution for Marketers
Marketers are now capable of gathering huge amounts of data on consumer behavior ranging from where customer shop to what apps they use and which comments are“like” on Facebook. By tapping into data on consumer behaviors, it is predicted that, Big Data is going to...
Know your Healthcare Data with the Right Data Analytics Tool
Large amounts of healthcare information are stored by healthcare staff by entering the data in Electronic Health Records (EHRs). EHRs represent a clear view of all the unstructured data and can reveal every patients medical history, medication, laboratory test...
Business Analytics – Opposition or Proposition?
Metaphorically, belief and disbelief in business analytics as a competitive edge - and not just a passing fad - meet at a door. On one side is passion, and on the other, fear. Passion always lives with fear. Those with passion for a methodology, like embracing...
The Big Data, No Data Paradox
The current premise is that the more data an organization can access and analyze, the greater the insights that can be acted upon – so focus on data, data and more data. This approach loses sight of “NO” Data, though, which if detected can often represent even more...
Dark Data: B2B’s Big Data Challenge
It’s estimated that in 2013, the world will produce an astounding 4 zetabytes (or 4 million petabytes) of new data. But unlike B2C companies, which are pressed to make use of massive quantities of unstructured consumer data, B2B companies face a big data...
What the E-Discovery Industry Can Learn from Big Data and Data Science
Like many fast-paced industries, e-discovery seems to create and abandon trends with every news cycle. Observers can find it difficult to stay abreast of the latest terms and technologies as e-discovery remains a highly specialized segment of the technology world. Yet...
BI for Healthcare Revenue Cycle Management
Business intelligence can improve performance across multiple areas of a healthcare business. In this article I will focus on revenue cycle management. While the cost of delivering care continues to rise, getting reimbursement from patients and insurance companies is...
Avoid Screwing Up Predictive Analytic Projects
Whether you're new to predictive analytics or have a few projects under your belt, it's all too easy to make gaffes. "The vast majority of analytic projects are riddled with mistakes," says John Elder, CEO at data mining firm Elder Research. Most of those aren't fatal...
