Business Objectives, Data Governance, Data-driven and Metadata

Business Objectives

Data Governance

Data-driven

Metadata

Using Strategic Data Governance to Manage GDPR/CCPA Complexity

erwin

JULY 12, 2019

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). Complexity. Five Steps to GDPR/CCPA Compliance.

Data Governance

Data Governance Management Metadata Risk Management

Data Mesh 101: How Data Mesh Helps Organizations Be Data-Driven and Achieve Velocity

Ontotext

FEBRUARY 12, 2024

In the final part of this three-part series, we’ll explore ho w data mesh bolsters performance and helps organizations and data teams work more effectively. Usually, organizations will combine different domain topologies, depending on the trade-offs, and choose to focus on specific aspects of data mesh.

Data-driven

Data-driven Data Lake Data Quality Business Objectives

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Webinars

Leading the Development of Profitable and Sustainable Products

How To Get Promoted In Product Management

MORE WEBINARS

Trending Sources

5 recommendations to get your data strategy right

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

Data Strategy

Data Strategy Strategy Business Objectives Data-driven

Webinars

Leading the Development of Profitable and Sustainable Products

How To Get Promoted In Product Management

MORE WEBINARS

Data architecture strategy for data quality

IBM Big Data Hub

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

Data Quality

Data Quality Data Architecture Strategy Data Lake

Building a Data Strategy for Defence Partners

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

Data Strategy Strategy Metadata Data Quality

Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges.

Data Strategy

Data Strategy Strategy Data Warehouse Prescriptive Analytics

Understanding the Graph Center of Excellence

Ontotext

MAY 16, 2024

Acknowledging the significance of how these critical enablers define, contextualize, and constrain data for consistency and trust, is all part of the maturity process for today’s enterprise. The goal at this stage of development is to build a scalable and resilient semantic graph as a data hub for all business-driven use cases.

Enterprise

Enterprise Data-driven Cost-Benefit Digital Transformation

What is a Data Catalog? Value, Benefits and Features

TDAN

MARCH 16, 2021

No matter where data comes from, becoming data-driven depends on every member of your organization being able to find, access, and use the data they need.

Business Objectives

Business Objectives Data-driven IT Metadata

Implementing Data Governance in the Manufacturing Industry

Alation

MAY 12, 2022

Or, rather, every successful company these days is run with a bias toward technology and data, especially in the manufacturing industry. technologies, manufacturers must deploy the right technologies and, most importantly, leverage the resulting data to make better, faster decisions. All personas access and use data appropriately, and.

Manufacturing

Manufacturing Data Governance Cost-Benefit IoT

Bringing an AI Product to Market

O'Reilly on Data

JULY 28, 2020

It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Agreeing on metrics. This is particularly true for AI products.

Marketing

Marketing Experimentation Metrics Testing

How to Do Data Modeling the Right Way

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. Nine Steps to Data Modeling.

Modeling

Modeling Metadata Data Governance Visualization

Building a Data Governance Strategy in 7 Steps

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

Data Governance Strategy Metadata Data Strategy

What is Data Classification? Guidelines, Types, & Examples

Alation

FEBRUARY 10, 2022

Data classification is necessary for leveraging data effectively and efficiently. Effective data classification helps mitigate risk, maintain governance and compliance, improve efficiencies, and help businesses understand and better use data. Manual Data Classification. Manual Data Classification.

Data Governance

Data Governance Risk Insurance Metadata

There’s More to erwin Data Governance Automation Than Meets the AI

erwin

NOVEMBER 6, 2020

Prashant Parikh, erwin’s Senior Vice President of Software Engineering, talks about erwin’s vision to automate every aspect of the data governance journey to increase speed to insights. Although AI and ML are massive fields with tremendous value, erwin’s approach to data governance automation is much broader.

Data Governance

Data Governance Metadata Data-driven Visualization

What Is Data Intelligence?

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” Why do we have data?

Metadata

Metadata Data Governance Dashboards Software

Data Leaders Brief

Using Strategic Data Governance to Manage GDPR/CCPA Complexity

Data Mesh 101: How Data Mesh Helps Organizations Be Data-Driven and Achieve Velocity

Webinars

Trending Sources

5 recommendations to get your data strategy right

Webinars

Data architecture strategy for data quality

Building a Data Strategy for Defence Partners

Create an end-to-end data strategy for Customer 360 on AWS

Understanding the Graph Center of Excellence

What is a Data Catalog? Value, Benefits and Features

Implementing Data Governance in the Manufacturing Industry

Bringing an AI Product to Market

How to Do Data Modeling the Right Way

Building a Data Governance Strategy in 7 Steps

What is Data Classification? Guidelines, Types, & Examples

There’s More to erwin Data Governance Automation Than Meets the AI

What Is Data Intelligence?

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