TDAN
MAY 4, 2021
When you’ve been involved in data management for as long as I have, things are definitely bound to change. And things have changed, quite a lot, in fact. Back when I started in IT, IMS was the primary database system used at most big enterprises and most of the computing was done on mainframe systems. […].
Anmut
APRIL 6, 2023
How do you do a Data Maturity Assessment? What does a Data Maturity Assessment Measure? What makes a Good Data Maturity Assessment? What is a Data Maturity Assessment? The definition of a data maturity assessment is a measurement of the reliability, effectiveness, and efficiency of an organisation’s data management.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
CIO Business Intelligence
APRIL 29, 2022
Data-first leaders are: 11x more likely to beat revenue goals by more than 10 percent. 5x more likely to be highly resilient in terms of data loss. 4x more likely to have high job satisfaction among both developers and data scientists. Create a CXO-driven data strategy. Data has rights and sovereignty.
Anmut
MARCH 24, 2022
In this post, we’ll explore what a data landscape is, why it’s so important, and how you can design and build a data landscape that supports your business goals. What is a data landscape? The definition of data landscape differs depending on the context and who you ask.
Cloudera
AUGUST 22, 2021
In fact, the definition of ‘cloud’ has changed so much over the years. There also needs to be a cloud-first strategy that should have buy-in from upper management. More importantly, a company’s data strategy should drive its cloud strategy so that they are aligned and fulfill both business and IT needs.
IBM Big Data Hub
JANUARY 25, 2023
Breaking down these silos to encourage data access, data sharing and collaboration will be an important challenge for organizations in the coming years. The right data architecture to link and gain insight across silos requires the communication and coordination of a strategic data governance program.
TDAN
JUNE 18, 2019
Most organizations agree that they have data issues, categorized as data quality. Organizations typically define the scope of their data problems by their current (known) data quality issues (symptoms). However, this definition is […].
Expert insights. Personalized for you.
139 
Let's personalize your content