IBM Big Data Hub

DECEMBER 20, 2023

Determine the tools and support needed and organize them based on what’s most crucial for the project, specifically: Data: Make a data strategy by determining if new or existing data or datasets will be required to effectively fuel the AI solution. Establish a data governance framework to manage data effectively.

Strategy 71

Strategy Business Objectives Cost-Benefit Consulting 71

Smart Data Collective

OCTOBER 20, 2020

Database Management Practices for a Sound Big Data Strategy. It is difficult for businesses to not consider the countless benefits of big data. Sure enough, there’s more to big data than just having the right tools for handling them. Uber uses big data to develop machine learning algorithms to forecast demand.

Big Data 99

Big Data Data Strategy Strategy Cost-Benefit 99

Alation

MARCH 28, 2023

That’s why the UK Ministry of Defence’s (‘MoD’) published the Data Strategy for Defence which for the first time presented a clear vision for gathering, collating, and harnessing data by defence sector partners. Standardisation will also ensure easy reuse of data, by storing it consistently, with a single, authoritative source.

Metadata 52

Metadata Data Strategy Data Quality Strategy 52

Alation

MARCH 21, 2023

When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits. They may also suffer from data duplication, which undermines their analytics models. Curious to see Alation in action?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Grooper

AUGUST 19, 2019

ISL is also the foundation for the process of transforming data into wisdom and successful master data management. Fear of disruption and growing digital transformation initiatives have created a demand for business-driven analytics. Connect the Dots Between Data Literacy, ISL, and the Requirements List.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

CIO Business Intelligence

APRIL 6, 2022

In all of these roles, I’ve come across patterns that enable organizations to build faster business insights and innovation with data. These patterns encompass a way to deliver value to the business with data; I refer to them collectively as the “data operating model.” Execution patterns in an operating model.

Cost-Benefit 124

Cost-Benefit Digital Transformation Data-driven Strategy 124

DataKitchen

JUNE 24, 2021

We needed to get the data from a centralized place into their hands so that they could get in the game of digital transformation.”. ” So I became focused on how to get data and analytic teams to be successful. Most companies have legacy models in software development that are well-oiled machines.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

Jen Stirrup

NOVEMBER 15, 2022

However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective. How can systems thinking and data science solve digital transformation problems? How is it possible to enable data-driven decisions in a systems thinking approach?

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

IBM Big Data Hub

AUGUST 4, 2023

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

AWS Big Data

AUGUST 14, 2023

Taken together, the posts in this series lay out some possible operating models for data mesh within an organization. In the same way, organizations seeking to implement successful data mesh strategies must respect the nature and structure (legal, political, commercial, technology) of their organizations in their implementation.

Management 79

Management Risk Measurement Optimization 79

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Alation

AUGUST 26, 2021

Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance. Cloud Transformation. Cloud Data Migration. Digital Transformation. Data Intelligence and Data Governance.

Metadata 64

Metadata Data Governance Dashboards Software 64