Precisely

SEPTEMBER 15, 2023

Data governance is no trivial undertaking. When executed correctly, data governance transitions businesses from guesswork to data-informed strategies. For those who follow the right roadmap on their data governance journey, the payoff can be enormous.

Data Governance 52

Data Governance Government Programming Data 52

Precisely

SEPTEMBER 5, 2023

As this realization grows, businesses are shifting their investments from hardware to technologies that optimize data assets. Master Data Management systems (MDM) play an important role in harmonizing data assets across large and midsize enterprises. How can they contribute their expertise?

Data Governance 52

Data Governance Government Data Management Management 52

Cloudera

AUGUST 12, 2021

A more data driven approach also leads to greater transparency and meritocracy when new opportunities and promotions are based on performance rather than politics, ensuring that top-talent is nurtured and rewarded. A 2019 HBR article mentioned how organizational decisions backed by data have instilled more confidence and reduced risk.

Manufacturing 112

Manufacturing Insurance Consulting Education 112

DataKitchen

DECEMBER 7, 2021

In the book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today’s organizations. A distributed data mesh is a better choice. Disrupting Data Governance: A Call to Action, by Laura B.

Data Governance 98

Data Governance Big Data Data Science Government 98

Precisely

AUGUST 22, 2024

Both architectures tackle significant data management challenges such as integrating disparate data sources, improving data accessibility, automating management processes, and ensuring data governance and security. Problems it solves Data fabric addresses key data management and use challenges.

Data Governance 69

Data Governance Government High Quality Data Metadata 69

Precisely

FEBRUARY 23, 2024

How Industry Leaders Get Superior Results The majority of respondents in the Arizent/Digital Insurance study rated their data management processes as being only moderately effective at meeting the core criteria for success. The top quartile, in contrast, reported better results, which were supported by better processes and technology.

Insurance 64

Insurance Data Validation Government High Quality Data 64

Cloudera

DECEMBER 3, 2021

Surely there are ways to comb through the data to minimise the risks from spiralling out of control. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. This often requires strong data governance, management and lineage controls together with mature ML operational practices.

Government 105

Government Hospitality Education Designing 105