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 131

Data Strategy Strategy Unstructured Data Data Governance 131

IBM Big Data Hub

MARCH 14, 2024

This involves unifying and sharing a single copy of data and metadata across IBM® watsonx.data ™, IBM® Db2 ®, IBM® Db2® Warehouse and IBM® Netezza ®, using native integrations and supporting open formats, all without the need for migration or recataloging.

Cost-Benefit 77

Cost-Benefit Metadata Optimization Management 77

DataKitchen

APRIL 26, 2021

In early April 2021, DataKItchen sat down with Jonathan Hodges, VP Data Management & Analytics, at Workiva ; Chuck Smith, VP of R&D Data Strategy at GlaxoSmithKline (GSK) ; and Chris Bergh, CEO and Head Chef at DataKitchen, to find out about their enterprise DataOps transformation journey, including key successes and lessons learned.

Measurement 246

Measurement Metrics Data-driven Testing 246

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 77

Data Governance Business Objectives Strategy Data Quality 77

Alation

NOVEMBER 22, 2022

Public sector departments and agencies traditionally collect data so that they can support citizens and deliver services. In today’s analytics-driven society, the public sector can transform this historic information to reduce operational costs and improve public service to better address the needs of a given community.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

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

Sisense

MAY 11, 2021

In this article, we’ll dig into what data modeling is, provide some best practices for setting up your data model, and walk through a handy way of thinking about data modeling that you can use when building your own. Building the right data model is an important part of your data strategy. Discover why.

Modeling 84

Modeling Big Data IoT Data Warehouse 84