erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance. to Data Governance 2.0

Data Governance 40

Data Governance ROI Risk Management Metadata 40

Cloudera

AUGUST 12, 2021

A data-driven approach to talent management and development brings about greater transparency, reduced attrition and more effective training and enablement. A 2020 retention report by the Work Institute revealed that over 42 million employees in the US left their jobs voluntarily in 2019, and this trend appeared to be increasing.

Data-driven 108

Data-driven Manufacturing Insurance Risk Management 108

Cloudera

MAY 9, 2019

The report created a readiness model with five dimensions and various metrics under each dimension. Based on your responses, an assessment report will be created. The report also guides you in evaluating your assessment report for your strengths and weaknesses. Each metric is associated with one or more questions.

IoT 53

IoT Modeling Metrics Measurement 53

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Data governance has no standard definition.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

Sisense

JULY 6, 2020

The volume and types of data are growing by the day, making data processing and generation of data insights more and more complicated. According to Experian’s 2019 Global Data Benchmark Report , companies believe that 29% of their customer and prospect data is inaccurate in some way.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

Alation

FEBRUARY 8, 2022

In contrast to this common, centralized approach, a data mesh architecture calls for responsibilities to be distributed to the people closest to the data. Middlemen — data engineering or IT teams — can’t possibly possess all the expertise needed to serve up quality data to the growing range of data consumers who need it.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Jet Global

MARCH 13, 2019

In 2019, BI vendors will take the next step in addressing the mobile evolution and create solutions that address the need for better analytics on mobile, empowering a mobile workforce with a solution that is completely rethought to provide a better user experience—providing greater productivity for your enterprise. Data Governance.

Business Intelligence 85

Business Intelligence Software Data Science Enterprise 85