Predictions for Embedded Analytics
Click to learn more about author Dean Yao. The Embedded Analytics market is growing at a rapid rate and will be worth $51.78 billion by 2022, and over the next few years, most organizations will begin to transform their traditional analytical techniques for analyzing business data to more advanced techniques using Embedded Analytics. If they don’t, […]
Read More →Your Personal Data is Up for Grabs: New Patents & New Scams Compromise Data Privacy
Click to learn more about author Cathy Nolan. How many ways can our privacy be compromised? Recent patents and news articles can make us crazy thinking about how our privacy is being invaded both at work and in our homes. First it was Amazon’s Echo and KitchenAid’s refrigerators recording what we said and transmitting it so […]
Read More →Design Thinking to Put a Governance Model that Doesn’t Fail
Click to learn more about author Tejasvi Addagada. Fully understand the problem – The generalized challenges that Chief Data Office (CDO) face today, are a good starting point to understand the deeper problem. If an existing Governance Model does not seem to work, it is better to start understanding the core beliefs and values in the […]
Read More →The Emergence of ”Metadata Science”? Using Graph Technology for Data Modeling
Click to learn more about author Thomas Frisendal. Building Data Models from Meta Models Recently, I worked with a government client on a Knowledge Graph kind of project. Being government, much of their data is public information. And, consequently, so are the data models. Instead of diagramming the same data all over again, I decided […]
Read More →Artificial Intelligence and Machine Learning: Even Robots Have a Gas Tank
Click to learn more about author Kevin W. McCarthy. Not to date myself, but by my childhood timeline, we should be about 15 years past flying cars, and just about coming up on the robot apocalypse. There was a time when everyone assumed that automation would eventually take over everyone’s lives, and as you see […]
Read More →The Difference Between a Data Mart and a Data Warehouse
Click to learn more about author Gilad David Maayan. When an enterprise takes its first major steps towards implementing Business Intelligence (BI) strategies and technologies, one of the first things that needs clarifying is the difference between a Data Mart vs. a Data Warehouse. Understanding this difference dictates your approach to BI architecture and data-driven […]
Read More →Leveraging AI and Machine Learning As Competitive Business Drivers
Click to learn more about author Dr. Michael Zeller. As volume, velocity and variety of data – often referred to as the “three V’s of Big Data” – continue- to increase, many businesses are unprepared to match the influx of this data with tools for collection and analysis. Even more surprising is that most organizations are […]
Read More →Insurance for Data Privacy in the Digital Age
Click to learn more about author Jon Snyder. The future is data-driven. But given that colossal amounts of data are collected every day to support internet-enabled devices, new risks crop up all the time — risks that used to be almost exclusively the lot of businesses. Data Security has become a major concern for these systems, […]
Read More →Chicago Crime Q2, 2018 Update
Click to learn more about author Steve Miller. In my April blog, I reported an update on violent crime in Chicago from January 2001 through March 2018. This is a continuation of analysis I’ve regularly conducted, born of concern for the staggering 50+% increase in Chicago homicides in 2016 from 2015, along with an only […]
Read More →What Are Data Trends and Patterns, and How Do They Impact Business Decisions?
Click to learn more about author Kartik Patel. In this article, we will focus on the identification and exploration of data patterns and the trends that data reveals. The business can use this information for forecasting and planning, and to test theories and strategies. Let’s look at the various methods of trend and pattern analysis in […]
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