Data Warehousing in the 21st Century
To be a successful relative company in the 21st century, analytics is no longer an option, but a requirement. Yet,…
analytics
Modernizing Data Architecture
The old BI and data warehousing architectures of the past can’t step up to the challenges of big data, analytics,…
Criclytics: Making Decisions in Cricket
You might be wondering what the word Criclytics means. Don’t worry, I will explain in detail what it means and…
Six Ways to Turn Your Data into Profits
The digital revolution has transformed how we receive, send, store, and process data. Firms, both large and small, can easily…
You Cannot Manage Data from Your Cubicle!
GET OUT THERE!!! You can’t do anything of true significance in the data space sitting in front of your computer.…
The Data Forecast: (Un-)Reasons to do Data Analytics in the Cloud
Let’s get this out of the way: you need to move your data analytics to the cloud. Some people may…
Exploiting a Semantic Method
In this paper I wrote with Sylviane Cardey and Peter Greenfield we examine how a semantics based technique, MMS (Méta Modèle…
Combining Data from Multiple Sources – Join, Integrate, Blend?
Data blending is a newly emerged technique that is used primarily by those who work in the area of big…
Big Data and Internet of Things – How the Future of Data Analysis is Evolving
The Internet of Things (IoT) and ‘big data’ are the most-talked-about technology topics in recent years. Big data is characterized…
Pragmatic Data: Where Does Your Data Science Live?
“…with the help of the pattern language that existed in traditional society, they were able to generate a complete, living…