Business Objectives, Data Quality and Data Transformation

A step-by-step guide to setting up a data governance program

IBM Big Data Hub

FEBRUARY 9, 2023

Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture. Data governance is a crucial aspect of managing an organization’s data assets.

Data Governance

Data Governance Business Objectives Strategy Data Quality

Data Mesh 101: How Data Mesh Helps Organizations Be Data-Driven and Achieve Velocity

Ontotext

FEBRUARY 12, 2024

This is especially beneficial when teams need to increase data product velocity with trust and data quality, reduce communication costs, and help data solutions align with business objectives. In most enterprises, data is needed and produced by many business units but owned and trusted by no one.

Data-driven

Data-driven Data Lake Data Quality Business Objectives

AzureML and CRISP-DM – a Framework to help the Business Intelligence professional move to AI

Jen Stirrup

SEPTEMBER 30, 2021

This initial phase focuses on understanding the business value-add from a business perspective, then translating this knowledge into a data mining problem definition. This may also involve the generation of a preliminary plan designed to deliver the business objectives. What are we trying to achieve?

Business Intelligence

Business Intelligence Data mining Machine Learning Testing

Data Leaders Brief

A step-by-step guide to setting up a data governance program

Data Mesh 101: How Data Mesh Helps Organizations Be Data-Driven and Achieve Velocity

AzureML and CRISP-DM – a Framework to help the Business Intelligence professional move to AI

Webinars

Stay Connected