CDW Research Hub

AUGUST 12, 2020

What is your organization doing to protect the value of your data? A strong data governance strategy helps ensure that your data is usable, accessible and protected, guaranteeing trust in the quality and consistency of the data. It involves establishing methods, processes and roles.

Data Governance 52

Data Governance Data-driven Dashboards Strategy 52

AWS Big Data

JANUARY 31, 2023

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

Data Lake 82

Data Lake Data Governance Data Architecture Data Warehouse 82

IBM Big Data Hub

SEPTEMBER 7, 2022

Today, the Summer School has grown to include over 400 data leaders across 46 countries and nearly 25 industries. Storytelling remains a powerful tool in data strategy adoption. This year we’ve spoken with data leaders whose data strategies have stalled, resulting in falling confidence within their organizations.

Data Strategy 52

Data Strategy Strategy Data-driven Data Quality 52

TDAN

JULY 16, 2019

The 2019 Data Governance and Information Quality (DGIQ) Conference ([link] hosted by Debtech International and DATAVERSITY, took place in San Diego, California from June 3-7, 2019 and this year’s event was another resounding success!

Data Governance 40

Data Governance Data Processing Data Quality Data Strategy 40

AWS Big Data

JULY 13, 2023

Altron is a pioneer of providing data-driven solutions for their customers by combining technical expertise with in-depth customer understanding to provide highly differentiated technology solutions. Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices.

Optimization 91

Optimization B2B Data Quality Sales 91

Jen Stirrup

NOVEMBER 15, 2022

Often, this problem can be due to the organization concentrating solely on technology and data. However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective. However, the thrust here is not to diminish data science or data engineering.

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145