CIO Business Intelligence

JANUARY 24, 2024

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

IBM Big Data Hub

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

Data Governance 84

Data Governance Business Objectives Strategy Data Quality 84

datapine

SEPTEMBER 29, 2022

Effective DQM is recognized as essential to any consistent data analysis, as the quality of data is crucial to derive actionable and – more importantly – accurate insights from your information. There are a lot of strategies that you can use to improve the quality of your information. 1 – The people.

Data Quality 241

Data Quality Metrics Data-driven Management 241

erwin

SEPTEMBER 17, 2020

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

Anmut

APRIL 6, 2022

For example, the data elements name, address, phone number, and account number may be grouped together to form your customer data set. A data asset is a collection of data sets expected to provide specific future economic benefits to the organisation and its stakeholders.

Cost-Benefit 52

Cost-Benefit ROI Sales Data-driven 52

Ontotext

FEBRUARY 12, 2024

Usually, organizations will combine different domain topologies, depending on the trade-offs, and choose to focus on specific aspects of data mesh. Once accomplished, an effective implementation spurs a mindset in which organizations prioritize and value data for decision-making, formulating strategies, and day-to-day operations.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

Alation

JANUARY 17, 2023

In actual fact, it isn’t all that confusing at all, and understanding what it means can have huge benefits for your organization. In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? Extract, load, Transform (ELT) tools.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52