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Data Fabric: Stitch Up Your Data Strategy With Visualization

You’ve probably heard that old stat (or some variation of it) about how the human brain processes images 60,000 times faster than text and numbers. It’s a point that data visualization has been capitalizing on for years. It’s also something you can use to enable your people to reach fully informed decisions faster based on massive amounts of data. For example, you could read a report about the shifts in market sentiment over the last…

Data Fabric: Save a Stitch in Time with Predictive Analytics

To build a data fabric that covers all your business’ data needs, you need to think beyond today and look toward the future. That means once your data is prepped and ready, it’s time to put it to work, not just for today, but for the days, weeks, months and years ahead with predictive capabilities. You don’t need a crystal ball to know data is the competitive differentiator that drives innovation across all business…

Data Fabric: Skip the Patchwork with Powerful Data Prep

As any data analyst knows, when it comes to data management, preparing the data for analysis is more than half the battle (roughly 61% of it according to a recent TDWI Pulse Report). Without the right preparation it’s going to be of limited use when it comes to analysis and informing critical business decisions. That same Pulse Report found 83% of companies can only use 25% or less of their data.  And as the…

Data Fabric: Weave a Better Data Strategy Across Your Organization

By the year 2025, IDC predicts the amount of data worldwide will reach 175 zettabytes (ZB).  How much is that really? If 175ZB were stored on Blu-Ray disc, the stack would reach the moon. And consider this: that prediction is nine percent higher than it was in the previous year’s report and likely to increase again. So, needless to say, the complexity of managing and, more importantly, mining this exponentially increasing amount of data…

Data Preparation 101 – The Objective of Data Preparation

Data Preparation 101 – The Objective of Data Preparation May 2, 2018. by Dr. Mamdouh Refaat Data preparation is a fundamental aspect of the modeling process. In fact, it is the most important part of the process since it occupies up to 80% of the total time of the project. The objective of data preparation is to prepare what is known as the modeling view or mining view. The modeling view is the table that contain all…

Differentiating Machine Learning, Artificial Intelligence, Data Science, Data Mining and Predictive Analytics

You can enter this question in an internet search engine and check what answers you get. Rather than doing that I will answer this question simply by “rewriting” history, so I can say it is “based on a true story”. During the Second World War, Alan Turing and his colleagues at Bletchley Park succeeded in building a machine that used electromechanical components to decipher the communications to and from German submarines operating in the Atlantic.