CDW Research Hub

AUGUST 12, 2020

What is your organization doing to protect the value of your data? A strong data governance strategy helps ensure that your data is usable, accessible and protected, guaranteeing trust in the quality and consistency of the data. But creating a data governance program is not something you can do overnight.

Data Governance 52

Data Governance Data-driven Dashboards Strategy 52

Alation

SEPTEMBER 7, 2021

In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. But governance is a time-consuming process (for users and data stewards alike).

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Ontotext

FEBRUARY 12, 2024

Part one of this three-part series discussed the concept of data mesh and explored what it is and why an organization should care. Here, part two provides best practices for data mesh, including practical guidance, challenges, and limitations. Enterprises should identify and adopt specific data mesh elements to achieve velocity.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

erwin

APRIL 29, 2020

Data lineage is the journey data takes from its creation through its transformations over time. It describes a certain dataset’s origin, movement, characteristics and quality. Tracing the source of data is an arduous task. Data Lineage Use Case: From Tracing COVID-19’s Origins to Data-Driven Business.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

CIO Business Intelligence

DECEMBER 19, 2023

After all, every department is pressured to drive efficiencies and is clamoring for automation, data capabilities, and improvements in employee experiences, some of which could be addressed with generative AI. As every CIO can attest, the aggregate demand for IT and data capabilities is straining their IT leadership teams.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

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

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. Managing metadata should not be a sub-goal of data governance. Quite simply, metadata is data about data.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

Alation

JULY 15, 2022

Data ethics is both an imperative and an opportunity. New regulations covering data privacy and other ethical concerns require that enterprises govern internal data processes according to these new laws. I asked attendees: How often do you think about data ethics? What does data ethics mean to you?

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

IBM Big Data Hub

JANUARY 8, 2024

They can optimize their supply chains, create delightful, personalized experiences for their customers, proactively identify quality issues or intercept customer churn before it occurs. IBM® created a composable set of capabilities to support you wherever you are on this event-driven adoption journey.

Data-driven 80

Data-driven Management Advertising Enterprise 80

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. Managing metadata should not be a sub-goal of data governance. Quite simply, metadata is data about data.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Alation

JULY 19, 2021

Metadata is information about data. Folks who work closely with data, like analysts, data scientists, and IT teams, rely on metadata to give them crucial context for how to use a given asset. Today, metadata is extremely helpful in classifying, describing, and providing critical information about digital data.

Metadata 105

Metadata Management Data Governance Machine Learning 105

erwin

JANUARY 17, 2019

Data governance is more important to the enterprise than ever before. It ensures everyone in the organization can discover and analyze high-quality data to quickly deliver business value. A mature and sustainable data governance initiative must include data integration.

Metadata 63

Metadata Data Governance Data Quality Data-driven 63

AWS Big Data

APRIL 19, 2023

Data mesh is a new approach to data management. Companies across industries are using a data mesh to decentralize data management to improve data agility and get value from data. This is especially true in a large enterprise with thousands of data products.

Technology 82

Technology Data-driven Machine Learning Sales 82

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

O'Reilly on Data

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Fair warning: if the business lacks metrics, it probably also lacks discipline about data infrastructure, collection, governance, and much more.) Agreeing on metrics. This is particularly true for AI products.

Marketing 362

Marketing Experimentation Metrics Testing 362

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Alation

MAY 31, 2023

The state of data governance is evolving as organizations recognize the significance of managing and protecting their data. With stricter regulations and greater demand for data-driven insights, effective data governance frameworks are critical. What is a data architect?

Data Governance 52

Data Governance Metadata Data Architecture Data Quality 52

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. Regulations.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

Cloudera

AUGUST 4, 2021

With hackers now working overtime to expose business data or implant ransomware processes, data security is largely IT managers’ top priority. And if data security tops IT concerns, data governance should be their second priority. Effective data governance must extend beyond the IT organization.

Data Governance 82

Data Governance Metadata Data-driven Enterprise 82

Ontotext

JANUARY 10, 2024

Next, I will explain how knowledge graphs help them to get a unified view to data derived from multiple sources and get richer insights in less time. This requires new tools and new systems, which results in diverse and siloed data. And each of these gains requires data integration across business lines and divisions.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

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 Management Data Quality Cost-Benefit 110

erwin

FEBRUARY 6, 2020

As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report. One piece of the research that stuck with me is that 70% of respondents spend 10 or more hours per week on data-related activities.

Management 144

Management Data Governance Cost-Benefit Metadata 144

IBM Big Data Hub

OCTOBER 12, 2023

Connecting AI models to a myriad of data sources across cloud and on-premises environments AI models rely on vast amounts of data for training. Once trained and deployed, models also need reliable access to historical and real-time data to generate content, make recommendations, detect errors, send proactive alerts, etc.

Cost-Benefit 83

Cost-Benefit Metadata Data Governance Modeling 83

erwin

MAY 27, 2020

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. Data resides everywhere in a business , on-premise and in private or public clouds. A single source of data truth helps companies begin to leverage data as a strategic asset.

Modeling 98

Modeling Metadata Data Governance Visualization 98

Alation

MARCH 21, 2023

Today, modern travel and tourism thrive on data. For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. What is big data in the travel and tourism industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

erwin

OCTOBER 24, 2019

Untapped data, if mined, represents tremendous potential for your organization. While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. They don’t know exactly what data they have or even where some of it is.

Metadata 104

Metadata Management Data-driven Data Architecture 104

erwin

MARCH 14, 2019

The need for data mapping tools in light of increasing volumes and varieties of data – as well as the velocity at which it must be processed – is growing. Data mapping tools have always been a key asset for any organization looking to leverage data for insights. Isolated units of data are essentially meaningless.

Metadata 81

Metadata Data Governance Digital Transformation Data-driven 81

erwin

MARCH 21, 2019

With business process modeling (BPM) being a key component of data governance , choosing a BPM tool is part of a dilemma many businesses either have or will soon face. Historically, BPM didn’t necessarily have to be tied to an organization’s data governance initiative. Choosing a BPM Tool: An Overview. Silo Buster.

Modeling 75

Modeling Metadata IT Data Governance 75

Alation

AUGUST 20, 2021

The same can be said for data, too. Data lineage shows the history of the data you’re looking at today, detailing where it originated and how it may have changed over time. It’s a reflection of the data life cycle, the source, what processes or systems may have altered it, and how it arrived at its current location and state.

Metadata 52

Metadata Data Quality Data Governance Data-driven 52

Grooper

AUGUST 19, 2019

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. C-level executives and professionals alike must learn to speak a new language - data. The benefit of speaking data, a.k.a. Increasing data literacy is the answer.

Analytics 54

Analytics Machine Learning Data-driven Data Science 54

Alation

SEPTEMBER 23, 2021

What Is a Data Catalog? A data catalog is a centralized storage bank of metadata on information sources from across the enterprise, such as: Datasets. The data catalog also stores metadata (data about data, like a conversation), which gives users context on how to use each asset. Governance. Visualizations.

Enterprise 52

Enterprise Metadata Data Governance Visualization 52

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend. I would take a look at our Top Trends for Data and Analytics 2021 for additional AI, ML and related trends.

Analytics 64

Analytics Measurement Modeling Data-driven 64

BI-Survey

FEBRUARY 23, 2023

“Data culture eats data strategy for breakfast” has become a popular saying among data and analytics managers and executives. Even the best data strategy cannot fulfill its potential if the data culture in the company does not match it. the information available on data and the skills required to use it).

Metadata 52

Metadata Data-driven Data Strategy Strategy 52

Alation

DECEMBER 15, 2021

Modern business is built on a foundation of trusted data. Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

erwin

JANUARY 3, 2020

Understanding the data governance trends for the year ahead will give business leaders and data professionals a competitive edge … Happy New Year! Regulatory compliance and data breaches have driven the data governance narrative during the past few years.

Data Governance 139

Data Governance Digital Transformation IoT Metadata 139