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Tag: metadata management


BI Categories, Data Mining

Automated Data Management Tools

April 25, 2024

Via: DATAVERSITY

“Why?” a chief technology officer (CTO) may ask when the subject of automated Data Management tools arises. After all, their organization has probably already been storing, archiving, and backing up enterprise data day after day with success. For example, setting […]


BI Categories, Data Mining

Metadata Management Challenges

January 17, 2024

Via: Database Trends and Applications

Earlier in 2023, we discussed The Importance of Metadata here in the DBA Corner column. And, indeed, metadata is more important than ever before because it helps us to understand our data. Data without metadata lacks meaning, making it difficult […]


BI Categories, Data Mining

Metadata Management Challenges

January 11, 2024

Via: Database Trends and Applications

Earlier in 2023, we discussed The Importance of Metadata here in the DBA Corner column. And, indeed, metadata is more important than ever before because it helps us to understand our data. Data without metadata lacks meaning, making it difficult […]


Basic Querying, BI Categories

Metadata Management Best Practices

November 8, 2023

Via: DATAVERSITY

Using metadata management best practices helps to maximize the value of the data stored by an organization. Finding the right data after it has been placed in storage can be difficult if the storage system has no organization. Metadata is […]


BI Users, Data Analyst

How to Become a Data Governance Specialist

October 26, 2023

Via: DATAVERSITY

A Data Governance specialist is responsible for deploying and enforcing policies and procedures that ensure data is used and maintained properly. Some organizations confuse the title “Data Governance (DG) Specialist” with the title “Data Governance Manager.” The DG specialist is […]


BI Categories, Data Mining

9 Key Data Management Principles and Practices

June 15, 2023

Via: DATAVERSITY

Business leaders often make corporate decisions in haste, based on data that is neither thoroughly analyzed nor understood. This can pose a serious threat to data-driven decision-making. Additionally, businesses risk losing a competitive edge by not following important business analytics […]


BI Categories, Data Mining

5 Key Benefits of Data Governance

May 18, 2023

Via: DATAVERSITY

Organizations want Data Governance, a formalized practice that connects different components – roles, processes, communications, metrics, and tools – for its benefits. Company-wide data represents a resource that will “become more valuable than people ever anticipated,” according to David McGraw, […]


BI Categories, Data Mining

4 Essential Data Management Principles

May 12, 2023

Via: DATAVERSITY

Data is central to modern businesses. However, most companies fumble their approach to Data Management and fail to draw insights as a result. Data Management might seem like a back-office function, but it is critical to a modern company’s success. […]


BI Categories, Data Mining

Connecting the Three Spheres of Data Management to Unlock Value

May 1, 2023

Via: DATAVERSITY

Many organizations have mapped out the systems and applications of their data landscape. Many have documented their most critical business processes. Many have modeled their data domains and key attributes. But only very few have succeeded in connecting the knowledge […]


BI Categories, Data Mining

Data Governance: How Can It Be a Crucial Enabler for Managing Data Risks?

April 3, 2023

Via: DATAVERSITY

In July 2021, one of the world’s leading banks revealed a loss of $5.5 billion due to a default by one of its customers. The bank identified the “failure of management and controls” in its investment banking arm as the […]


BI Users, Data Analyst

Data Pipelines: An Overview

March 2, 2023

Via: DATAVERSITY

Just as vendors rely on U.S. mail or UPS to get their goods to customers, workers count on data pipelines to deliver the information they need to gain business insights and make decisions. This network of data channels, operating in […]


BI Categories, Data Mining

The Future of Data Modeling in Data Governance

February 15, 2023

Via: DATAVERSITY

The process of Data Modeling is playing an increasingly important role when creating or improving a Data Governance program. Data Governance has become extremely complex, and the use of Data Modeling promotes understanding. One basic reason for the increasing complexity […]


BI Categories, Data Mining

The Importance of Metadata

February 9, 2023

Via: Database Trends and Applications

Today, nobody argues about the importance of data. It is a given that data must be collected, managed, and analyzed to conduct business successfully in the modern era. But all too often the meaning of the data is not being […]


BI Categories, Data Mining

Metadata Management vs. Master Data Management

January 18, 2023

Via: DATAVERSITY

Businesses rely on knowing their data to survive and grow. Metadata management and master data management (MDM) provide essential processes for organizations to gain this knowledge and succeed. As a result, both need to be managed well. However, the differences […]


BI Categories, Data Mining

Data Lineage Demystified

January 5, 2023

Via: DATAVERSITY

What Is Data Lineage? Data lineage describes data origins, movements, characteristics, and quality. According to Stewart Bond, lineage typically describes where the big data begins and how it is changed to the final outcome. Technology projects have used this traditional […]


BI Categories, Data Mining

Advances in Metadata Management

October 13, 2022

Via: DATAVERSITY

With the flood of data that organizations are experiencing, metadata management is no longer optional – it has become a necessity. The concept of metadata management is fairly new because older metadata services, before this rush of data, had no […]


BI Categories, Data Mining

Do You Really Need a Data Catalog?

September 6, 2022

Via: DATAVERSITY

A data catalog can be an excellent resource for a business. An important element of modern metadata management, it can make many workflows and business processes clearer, encourage better cross-departmental collaboration, and boost productivity in several key ways. Gretchen Burnham […]