CIO Business Intelligence

FEBRUARY 2, 2024

The credential is available at the executive management, principal, mastery, associate practitioner, and foundation assistant data governance professional levels. The executive management level requires a four-day workshop and written assessment. Master requires passing a 90-minute exam at 70% or higher.

Management 116

Management Data Governance Cost-Benefit Testing 116

erwin

APRIL 4, 2019

Some other common data governance obstacles include: Questions about where to begin and how to prioritize which data streams to govern first. Issues regarding data quality and ownership. Concerns about data lineage. You can encourage feedback through surveys, workshops and open dialog.

Data Governance 75

Data Governance Data Quality Risk Management Data-driven 75

AWS Big Data

JULY 20, 2023

Prior to the creation of the data lake, Orca’s data was distributed among various data silos, each owned by a different team with its own data pipelines and technology stack. Moreover, running advanced analytics and ML on disparate data sources proved challenging.

Data Lake 93

Data Lake Analytics Snapshot Data Quality 93

AWS Big Data

JANUARY 31, 2023

Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables better decision-making by improving data quality, reducing data management costs, and ensuring secure access to data for stakeholders.

Data Lake 89

Data Lake Data Governance Data Architecture Machine Learning 89

Alation

MAY 31, 2023

If you’re not familiar with DGIQ, it’s the world’s most comprehensive event dedicated to, you guessed it, data governance and information quality. This year’s DGIQ West will host tutorials, workshops, seminars, general conference sessions, and case studies for global data leaders.

Data Governance 52

Data Governance Insurance Metadata Data-driven 52

Andrew White

JANUARY 11, 2021

where performance and data quality is imperative? Since much of the work is siloed, there are entire markets focused on, for example, data privacy tools, data security tools, data quality tools and more. We cannot of course forget metadata management tools, of which there are many different.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Andrew White

JANUARY 9, 2022

– We see most, if not all, of data management being augmented with ML. Much as the analytics world shifted to augmented analytics, the same is happening in data management. You can find research published on the infusion of ML in data quality, and also data catalogs, data discovery, and data integration.

Analytics 64

Analytics Measurement Data-driven Modeling 64