Every Marathon Runner Has a Story – And So Does Your Data
At least once a year I sit down to watch one of the many televised marathons that happen in cities all around the world. Recently, as the helicopter camera panned away to show thousands of runners at the start line, it occurred to me that this marathon was not unlike the data within our business. […]
Highly Available Data: Why High Availability Is Not Just for Apps
High availability is a buzzword in IT today. Usually, it refers to applications and services that are resistant to disruption. But it should also apply to your data. Here’s why. What is it? High availability refers to the ability of an application, service or other IT resources to remain constantly accessible, even in the face […]
Why Data Quality Makes or Breaks Your Big Data Operations
What drives big data success? Your first thought might be analytics accuracy or the amount of data you have available to process. But if you’re not thinking about data quality, you may be undercutting the effectiveness of your entire big data operation. What is data quality? Data quality refers to the ability of a given […]
How Data Quality Impacts Machine Learning
GIGO – Garbage In, Garbage Out – is a saying that’s been around since the early days of computing. But in the age of artificial intelligence, machine learning, and data quality, that old adage is more relevant than ever. In his article, “Data quality in the era of Artificial Intelligence,” George Krasadakis, Senior Program Manager […]
Your Data Governance Solution Essential to AI and Machine Learning
Enterprise use of Artificial Intelligence (AI) and machine learning is growing rapidly. A 2019 report by Gartner reveals that over the previous four years, the number of enterprises employing AI grew by 270 percent. It’s easy to understand why. With good data governance, AI and machine learning technologies provide an unprecedented ability to extract useful […]
Don’t Let Lack of Big Data Quality Drive Bad Business Decisions
In the past decade, big data has made headlines for its ability to provide answers to crucial questions. However, what these stories tend not to focus on is that big data is only useful when you have high levels of data quality. If you don’t, you won’t be able to make good decisions. The issue […]
The New Trillium DQ: Big Data Insights When and Where You Need Them
According to the recent PwC Data Trust Pulse Survey, 86% of executives believe they are in a race to extract value from data, and a Forrester global research report indicated that 92% of data decision makers feel the need to increase the use of outside data. We’re continuing to create and use more and more […]
Data Profiling Plus Data Quality Equals Better Analytics
Today, more than ever, big data is king. It is indispensable for functions such as advanced analytics, business intelligence, machine learning, AI, data profiling and data governance. For many modern enterprises, the ability to extract maximum value from corporate data and data profiling tools has a direct bottom-line impact. But the value of the information […]
Why You Should Understand All Dimensions of Data Quality
Take a second to think about your most valuable asset. What’s the first thing that comes to mind? In today’s world, it’s data. Yet, information is only valuable if it meets certain data quality standards. There are six dimensions of data quality: completeness, consistency, uniqueness, validity, timeliness, and accuracy. Read on to learn how each […]
Deep Data is the New Big Data
It’s no longer enough for your data to be big. Today, data needs to be deep, too. Here’s why deep data is so essential for enterprise data analytics, and tips for making your data deep. These days, anyone can collect lots of data. Data collection can be easily automated, and data storage is cheap. In […]
Data Governance or Data Quality: Which to do First?
Many companies are just starting their data governance journey. There has been a paradigm shift towards a data driven environment. As you start to think how data impacts your organization, it becomes clear that the focus is leaning more towards business processes and away from specific applications. Quite often I speak with prospects who are […]
Getting Ahead of Data Matching: Building the Right Strategies for Today and Tomorrow – Part 2
This article on Data Matching was originally published on Dataversity by Harald Smith. Part 1 started with a background on data matching and how to get started. Ensuring business context Matching algorithms produce scores or grades that together provide a standardized result. Scores above a threshold indicate a match, while scores below that there is […]