The state of data quality in 2020
C-level interest in #AI and #ML in driving increased awareness of #dataquality
The Case for a Data Quality Dashboard
Data Quality projects that cannot demonstrate value at an early stage are frequently dropped in favour of the multitude of other projects competing for the budget.
A Data Quality dashboard can provide an array of benefits and payback for many organisations.
Get your data ready for 2020
Welcome to 2020 everyone Kicking off by borrowing a look forward from our partner, Syncsort How to Modernize Your Traditional Database in 2020 If your data center is like many others, you have several important applications that rely on traditional database implementations. For example, it’s not unusual for companies to have business-critical applications that use…
The hidden cost of not finding data
Today I overheard someone say, “Most business users give up trying to find or understand the data they need to do their jobs within 30 minutes of trying.” I gave up after 3 minutes of trying to find its source The digital business is dependent on data Self-service BI is dependent on data. Business goals,…
Data Quality Problems in the Cloud
Cloud computing offers new opportunities and challenges to enterprises grappling with the explosion of data sources, growing data storage needs, and the problem of ensuring data quality.
Three tips for laying the ground work for machine learning
data quality, hyperscale and Python – the foundation of machine learning
Why is data being taken more seriously?
I some times joke to my customers and prospects that I have been doing data since long before it was fashionable. One of the challenges of working in a relatively small market is that one tends to revolve through the same doors – having got a “not now” response i tend to come back six…
