TDAN

JUNE 15, 2022

Not surprisingly, digital transformation is a prerequisite for forward-thinking businesses. Data, as always, is top of mind. The catastrophic disruption of the global pandemic did not slow down the need for systems, processes, and people who will help modern organizations move faster.

Digital Transformation 98

Digital Transformation Data Quality IT Data Strategy 98

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 79

Strategy Business Objectives Cost-Benefit Consulting 79

Anmut

APRIL 6, 2021

Enterprise digital transformation and data. Most organisations undergoing a digital transformation understand that data is critical, but how many are actually managing data as an asset ? Your data isn’t fit for purpose. Your digital transformation initiatives fail. The result?

Digital Transformation 52

Digital Transformation Enterprise Data Quality Data-driven 52

Data Virtualization

NOVEMBER 25, 2020

In recent years, we have seen wide adoption of data analytics. Some issues that have been most often cited for this include: Poor data quality: While preparing. However, most organizations continue to find it challenging to quickly yield actionable insights.

Data Analytics 52

Data Analytics Analytics Data Quality Digital Transformation 52

CIO Business Intelligence

MARCH 31, 2022

Chief data officer job description. The CDO oversees a range of data-related functions that may include data management, ensuring data quality, and creating data strategy. They may also be responsible for data analytics and business intelligence — the process of drawing valuable insights from data.

Consulting 133

Consulting Strategy Data Strategy Data Governance 133

Cloudera

SEPTEMBER 6, 2022

But digital transformation programs are accelerating, services innovation around 5G is continuing apace, and results to the stock market have been robust. . If you’re working in a telco today, what’s your digital strategy to tackle these challenges? The challenges. and — more worryingly — “how can we be sure?” .

Data Architecture 82

Data Architecture Cost-Benefit Digital Transformation Business Driver 82

Alation

MARCH 21, 2023

What are common data challenges for the travel industry? Some companies struggle to optimize their data’s value and leverage analytics effectively. When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Alation

OCTOBER 21, 2021

But, on the back end, data lakes give businesses a common repository to collect and store data, streamlined usage from a single source, and access to the raw data necessary for today’s advanced analytics and artificial intelligence (AI) needs. Irrelevant data. Ungoverned data.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

Alation

MARCH 28, 2023

With data becoming more prevalent in every industry, organisations have to determine how to not only manage it but also drive value from it. The MoD identify three key issues: firstly, that ‘Defence data operates in contractual, technical and behavioural silos’. The defence industry is no exception.

Metadata 52

Metadata Data Strategy Data Quality Strategy 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. Applied analytics Business analytics Machine learning and data science.

Analytics 54

Analytics Machine Learning Data-driven Data Science 54

erwin

SEPTEMBER 15, 2022

We are thrilled to introduce Quest EMPOWER 2022, a free, two-day online summit aimed to inspire you and help you develop new strategies for advancing your data intelligence, data governance, and data operations initiatives. Discover new insights into data intelligence with Donna Burbank.

Data Governance 52

Data Governance Consulting Data-driven Digital Transformation 52

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

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 66

Data Architecture Data Lake Machine Learning Data Governance 66

AWS Big Data

AUGUST 14, 2023

In the same way, overly restrictive data governance practices that either prevent data products from taking root at all, or pare them back too aggressively (deforestation), can over time create “data deserts” that drive both the producers and consumers of data within an organization to look elsewhere for their data needs.

Management 75

Management Risk Measurement Optimization 75

Alation

AUGUST 26, 2021

It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.

Metadata 64

Metadata Data Governance Dashboards Software 64