Collibra

OCTOBER 19, 2020

Data lineage describes how data transforms and flows as it is transported from source to destination, across its entire data lifecycle. It helps organizations get the full story behind their data so they can use their data to make impactful business decisions. . Why is data lineage important? .

Analytics 59

Analytics Digital transformation GDPR Cloud 59

Collibra

NOVEMBER 5, 2020

Metadata management is a cross-organizational agreement on how to define informational assets for converting data into an enterprise asset. As data volumes and diversity grow, metadata management is even more critical to derive business value from the gigantic amounts of data. . Who created this data? What is Metadata?

Metadata 59

Metadata Government Privacy Sales 59

ARMA International

SEPTEMBER 13, 2021

Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. Information and data are synonyms but have different definitions. ARMA defines data as “Any symbols or characters that represent raw facts or figures and form the basis of information” (ARMA 2016, p 12).

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

Reltio

APRIL 4, 2019

David Balzan , Business Unit Manager MDM, Viqtor Davis is a driven data management professional, enthusiastic leader and technical architect. David has nearly 20 years’ experience delivering data management solutions across most vertical markets and a huge amount of practical MDM experience.

MDM 40

MDM Marketing IT Compliance 40

Collibra

DECEMBER 28, 2020

data citizen: A data citizen is any person who relies on access to trusted data to perform job responsibilities, make business decisions and ultimately drives business transformation. . Each month, we put a spotlight on a data citizen (or two) who exemplifies excellence and expertise in the data community.

Analytics 64

Analytics Government Digital transformation Access 64

erwin

FEBRUARY 4, 2021

Better decision-making has now topped compliance as the primary driver of data governance. However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. Data Governance Bottlenecks. Sources, like IoT.

Government 89

Government Metadata Analytics Compliance 89

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. Quite simply, metadata is data about data.

Metadata 110

Metadata Digital transformation Government Healthcare 110

ChiefTech

JULY 10, 2008

Creative and Analytical qualities Most jobs in the UX Dreamteam involve a level of creativity and analysis, but it’s a rare gem who is a rock-star operator in both these modes. A Dreamteam accesses their creativity readily and regularly to push beyond the obvious for an appropriately innovative solution.

Analytics 78

Analytics Communications Information architecture IT 78

IBM Big Data Hub

JANUARY 29, 2024

A recent analysis from the IBM Institute for Business Value asked company executives “[…] how they use data to create performance baselines and to understand how applying technologies—for example, cloud, AI, generative AI—might materially improve performance in the parts of the business that generate income.”

Digital transformation 73

Digital transformation Artificial Intelligence Cloud Blockchain 73

Reltio

JANUARY 20, 2020

As Tony Donohoe, chief technology officer at Brand Expedia Group comments “Now we can analyze seven days of data in 30 seconds—that’s 360 times faster.”. These data innovators are gaining business agility by leveraging a modern approach to data management. Building the future of travel and hospitality.

Customer Experience 83

Customer Experience Big data Cloud Artificial Intelligence 83

Reltio

MARCH 19, 2021

As businesses try to harness their many siloed sources of data by implementing master data management (MDM), many find that aligning the various data sources to produce a “single source of truth” is much harder than it appeared at first. million per year.” Traditional Match-and-Merge Doesn’t Work for Today’s Enterprises.

MDM 52

MDM IT Customer Experience Marketing 52

Reltio

FEBRUARY 3, 2020

It’s so exciting to be working with data innovators at Global 2000 companies with visionary leadership teams who are committed to winning in the experience economy. . It’s not only difficult to compete on customer experience, but it’s difficult to comply with customer data regulations, and to shift to a digital business. .

Customer Experience 69

Customer Experience MDM Data science B2C 69

JKevinParker

JUNE 25, 2011

as a SharePoint Architect. So just what is a "SharePoint Architect"? A few years back, Joel Oleson wrote a post entitled " Depth and Breadth in a SharePoint Architect Skillset " in which he outlined his view on the required skill sets for this role. SharePoint Architect Skill Set. Master Data Management.

Information architecture 49

Information architecture ECM Records Management Communications 49

erwin

JUNE 25, 2020

As the name suggests, technical architects are more concerned with the technicalities and the specifics of a particular technology than with technology’s place in the enterprise. Most significantly – from an enterprise architect. In this post: What Is a Technical Architect? What Is a Technical Architect?

Analytics 144

Analytics Communications Risk IT 144

Collibra

MARCH 16, 2022

It’s no secret that data is the fuel that powers almost every facet of an organization. But to take advantage of the diverse, dynamic and distributed nature of data, and the energy (value) it holds, it has to be harnessed and understood. In today’s data landscape rarely is there a shortage of data and reports.

Analytics 52

Analytics Access Government Passwords 52

erwin

JANUARY 10, 2024

With examples of online marketplaces all around us, smart organizations are following suit by providing data marketplaces to data consumers across their enterprises. Treating data as a product and making it available through a marketplace is a rapidly trending and proven approach to better using and managing your data.

Government 59

Government Marketing IT Analytics 59

IBM Big Data Hub

JUNE 8, 2023

Data is the lifeblood of successful organizations. Beyond the traditional data roles—data engineers, analysts, architects—decision-makers across an organization need flexible, self-service access to data-driven insights accelerated by artificial intelligence (AI). But most businesses are behind.

Analytics 66

Analytics Digital transformation Artificial Intelligence Access 66