3 new outcomes you can expect from self-service data preparation
Phil Simon weighs in on the value of getting your own hands dirty using self-service data prep.
Tag: data management for analytics
The pros and cons of data on demand
Phil Simon chimes in on the immediacy of enterprise data.
Need faster analytics? Modernize your data management platform.
Helmut Plinke explains why modernizing your data management is essential to supporting your analytics platform.
Governing data acquisition
As the application stack supporting big data has matured, it has demonstrated the feasibility of ingesting, persisting and analyzing potentially massive data sets that originate both within and outside of conventional enterprise boundaries. But what does this mean from a data governance perspective?
Harmonizing semantics for consistency in interpreting analytical results
One aspect of high-quality information is consistency. We often think about consistency in terms of consistent values. A large portion of the effort expended on “data quality dimensions” essentially focuses on data value consistency. For example, when we describe accuracy, what we often mean is consistency with a defined source
Why an agile mind-set will lead to better data prep and analytics
.@philsimon on the need to adopt agile methodologies for data prep and analytics.
Data preparation and data wrangling, Part 2 (yippee, bring your lasso)
In Part 1 of this two-part series, I defined data preparation and data wrangling, then raised some questions about requirements gathering in a governed environment (i.e., ODS and/or data warehouse). Now – all of us very-managed people are looking at the horizon, and we see the data lake. How do
The importance of a business glossary for data preparation
Lately I've been binge-watching a lot of police procedural television shows. The standard format for almost every episode is the same. It starts with the commission or discovery of a crime, followed by forensic investigation of the crime scene, analysis of the collected evidence, and interviews or interrogations with potential suspects. It ends
Better tech means better analytics and less data prep
.@philsimon chimes in on new data-gathering methods and what they mean for analytics.
Data preparation and data wrangling, Part 1 (yippee, bring your lasso)
I'm a very fortunate woman. I have the privilege of working with some of the brightest people in the industry. But when it comes to data, everyone takes sides. Do you “govern” the use of all data, or do you let the analysts do what they want with the data to