Alation

APRIL 25, 2023

Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Anmut

OCTOBER 29, 2020

Data governance - who's counting? The role of data governance. This large gap between reported figures raises tough questions on the reliability of COVID-19 tracking data. In dealing with situations like pandemic data, how important are aspects of data governance such as standardised definitions?

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

Alation

APRIL 25, 2023

Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Smart Data Collective

NOVEMBER 24, 2020

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Help with Strategic Decision-Making.

Business Intelligence 131

Business Intelligence Visualization Dashboards Prescriptive Analytics 131

CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 138

Management Internet of Things Statistics Data-driven 138

O'Reilly on Data

JULY 28, 2020

Acquiring data is often difficult, especially in regulated industries. Once relevant data has been obtained, understanding what is valuable and what is simply noise requires statistical and scientific rigor. Garbage in, garbage out” holds true for AI, so good AI PMs must concern themselves with data health. Conclusion.

Marketing 362

Marketing Experimentation Metrics Testing 362

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109