IBM Big Data Hub

FEBRUARY 9, 2023

Realize that a data governance program cannot exist on its own – it must solve business problems and deliver outcomes. Start by identifying business objectives, desired outcomes, key stakeholders, and the data needed to deliver these objectives. Don’t try to do everything at once!

Data Governance 81

Data Governance Business Objectives Strategy Data Quality 81

AWS Big Data

APRIL 19, 2023

The goal of a data product is to solve the long-standing issue of data silos and data quality. Independent data products often only have value if you can connect them, join them, and correlate them to create a higher order data product that creates additional insights.

Technology 88

Technology Data-driven Machine Learning Sales 88

Peter James Thomas

JANUARY 8, 2020

The recently launched Data Strategy Review Service is just one example. If you find the articles published on this site interesting and relevant to your work, then perhaps – like Neal Analytics – you would consider commissioning us to write a White Paper or some other document.

Consulting 61

Consulting Data-driven Publishing Data Strategy 61

Alation

MAY 31, 2023

This means that specialized roles such as data architects, which focus on modernizing data architecture to help meet business goals, are increasingly important to support data governance. What is a data architect? Their broad range of responsibilities include: Design and implement data architecture.

Data Governance 52

Data Governance Metadata Data Architecture Data Quality 52

BI-Survey

DECEMBER 22, 2020

Managers see data as relevant in the context of digitalization, but often think of data-related problems as minor details that have little strategic importance. Thus, it is taken for granted that companies should have a data strategy. But what is the scope of an effective strategy and who is affected by it?

Data-driven 52

Data-driven Data Strategy Strategy Enterprise 52

Alation

OCTOBER 12, 2021

.” Gilbert further breaks down the data challenges Cbus faced, saying: “[Another] challenge was around understanding the data. We might have found some data but what does it mean? There was a lack of documentation and a very heavy reliance on IT and business SMEs. Evaluate and monitor data quality.

Strategy 52

Strategy Enterprise Analytics Data Governance 52