Astera

SEPTEMBER 26, 2024

How are AI governance and data governance related? Better still, what’s more important for an organization to focus on, AI-powered data governance or AI data governance? These are important questions, but before we answer these, let’s understand how AI and data governance are related to each other.

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Astera

APRIL 4, 2024

However, according to a survey, up to 68% of data within an enterprise remains unused, representing an untapped resource for driving business growth. One way of unlocking this potential lies in two critical concepts: data governance and information governance.

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Astera

MARCH 19, 2024

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle.

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Astera

APRIL 19, 2024

Data governance and data quality are closely related, but different concepts. The major difference lies in their respective objectives within an organization’s data management framework. Data quality is primarily concerned with the data’s condition.

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Astera

APRIL 24, 2024

What is a Data Governance Framework? A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

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Smart Data Collective

AUGUST 14, 2019

By definition, big data in health IT applies to electronic datasets so vast and complex that they are nearly impossible to capture, manage, and process with common data management methods or traditional software/hardware. Big data analytics: solutions to the industry challenges.

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The Data Administration Newsletter

MARCH 6, 2024

This phrase most commonly refers to a form of corporal punishment where a belt is used by an authority figure to spank or hit someone as a punitive measure. The expression “Getting the Belt” has several meanings. This form of discipline is now, thankfully, regarded as inappropriate and harmful.

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Analysts Corner

NOVEMBER 24, 2022

References [IIBA NE]. Please do let me know whether this article was helpful, and what more you would like to read with respect to business analysis. Leave a comment here or connect on LinkedIn. IIBA North East Wisconsin. What is a business analyst? link] Last accessed Dec 30 2021. Pratt and Sarah K.

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The Data Administration Newsletter

AUGUST 16, 2022

Data Acumen, Literacy, and Culture Data literacy, or data acumen[1] as we like to call it, is increasingly cited as a critical enabler of being a data-driven organization. We set out to do something about that and developed a data acumen quick reference. Using the quick reference, folks […].

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The Data Administration Newsletter

OCTOBER 16, 2024

What Is IoT Data Management? IoT data management refers to the process of collecting, storing, processing, and analyzing the massive amounts of data generated by Internet of Things (IoT) devices.

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Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

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Ntara

JUNE 26, 2023

Sometimes product data management can seem vast or vague, even to IT experts who know technology and data well. At Ntara, we remove the mystery by clearly defining what each data engagement involves and how it helps your business. It also includes where each attribute lives in the data hierarchy.

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Domo

MAY 30, 2024

Then move on to making your data formats consistent. Cross-reference your data set with reality Let’s go back to the turnover example—do the hourly wages of each employee make sense given the population’s minimum wage? As mentioned, automated tools can help you spot anomalies, making sure your data stays pristine.

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BizAcuity

APRIL 1, 2023

The three components of Business Intelligence are: Data Strategy:a clearly defined plan of action that outlines how an organization will collect, store, process, and use data in order to achieve specific goals. Data governance and security measures are critical components of data strategy.

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BizAcuity

JANUARY 31, 2023

The three components of Business Intelligence are: Data Strategy:a clearly defined plan of action that outlines how an organization will collect, store, process, and use data in order to achieve specific goals. Data governance and security measures are critical components of data strategy.

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Astera

NOVEMBER 1, 2023

Introduction   As financial institutions navigate intricate market dynamics and heighten regulatory requirements, the need for reliable and accurate data has never been more pronounced. This has spotlighted data governance—a discipline that shapes how data is managed, protected, and utilized within these institutions.

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The Data Administration Newsletter

APRIL 4, 2023

To talk with Bob Seiner is to talk with a friend and a personal reference in the field of data management. The fact that I have collaborated with him in the translation of his first book, Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success, into Spanish is a source of pride.

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Dataversity

JANUARY 19, 2021

The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” The post Enterprise Data Sharing: Commercially Identifiable Information appeared first on DATAVERSITY. Click to learn more about author Scott Taylor.

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Astera

MAY 8, 2024

Understanding the Business Glossary A business glossary is a repository of data-related terms and definitions specific to a company’s industry, processes, and products. It includes industry-specific jargon, acronyms, and business-specific terminologies, all systematically organized for easy reference.

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Astera

JUNE 4, 2024

This quickness eliminates time wasted searching through siloed data sources. Improved Data Governance It specifies the data origin and the potential impact of changes to the data by facilitating data lineage tracking, impact analysis, and enforcement of data governance policies.

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Astera

MARCH 28, 2024

So, organizations create a data governance strategy for managing their data, and an important part of this strategy is building a data catalog. They enable organizations to efficiently manage data by facilitating discovery, lineage tracking, and governance enforcement.

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The Data Administration Newsletter

OCTOBER 18, 2022

“Technical debt” refers to the implied cost of future refactoring or rework to improve the quality of an asset to make it easy to understand, work with, maintain, and extend.

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Astera

JUNE 12, 2024

Data lineage is an important concept in data governance. It outlines the path data takes from its source to its destination. Understanding data lineage helps increase transparency and decision-making for organizations reliant on data. This complete guide examines data lineage and its significance for teams.

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Astera

APRIL 3, 2024

As important as it is to know what a data quality framework is, it’s equally important to understand what it isn’t: It’s not a standalone concept—the framework integrates with data governance, security, and integration practices to create a holistic data ecosystem. Why do you need a data quality framework?

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Data Pine

MARCH 25, 2019

Having bestowed your data analysis techniques and methods with true purpose and defined your mission, you should explore the raw data you’ve collected from all sources and use your KPIs as a reference for chopping out any information you deem to be useless. Build a data management roadmap. Harvest your data.

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Netmind

MARCH 9, 2021

Data Management. A good data management strategy includes defining the processes for data definition, collection, analysis, and usage, including data quality assurance (and privacy), and the levels of accountability and collaboration throughout the process. Data is a collection of “what happened”.

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Netmind

NOVEMBER 1, 2020

Data Management. A good data management strategy includes defining the processes for data definition, collection, analysis, and usage, including data quality assurance (and privacy), and the levels of accountability and collaboration throughout the process. Data is a collection of “what happened”.

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Business Analysis Knowledge Share

OCTOBER 24, 2023

This article aims to provide a comprehensive overview of Data Warehousing, breaking down key concepts that every Business Analyst should know. Introduction As businesses generate and accumulate vast amounts of data, the need for efficient data management and analysis becomes paramount. What is Data Warehousing?

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Astera

MAY 14, 2024

What is metadata management? Before shedding light on metadata management, it is crucial to understand what metadata is. Metadata refers to the information about your data. This data includes elements representing its context, content, and characteristics. What is a metadata management framework (MMF)?

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The Data Administration Newsletter

JULY 19, 2022

In reference to the prior column on enterprise data management and high level lego framework, this column reviews in detail the foundational layer of Organization Mission, Level 1.

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Astera

JANUARY 1, 2024

Free Download Data Governance and Data Quality When it comes to managing your data, two crucial aspects to keep in mind are data governance and data quality. Think of data governance as the rulebook for data management. Are all date formats consistent?

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Astera

JANUARY 1, 2024

Free Download Data Governance and Data Quality When it comes to managing your data, two crucial aspects to keep in mind are data governance and data quality. Think of data governance as the rulebook for data management. Are all date formats consistent?

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Astera

DECEMBER 21, 2022

Whether you are running a video chat app, an outbound contact center, or a legal firm, you will face challenges in keeping track of overwhelming data. Managing and keeping track of all of this data is not easy. While organizing data effectively can be difficult, the rewards of doing so can be significant.

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Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, It supersedes Data Vault 1.0, Data Vault 2.0

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Astera

APRIL 27, 2023

Data lakes provide businesses with a flexible and cost-effective way to store structured or semi-structured data of any type at any volume. On the other hand, data warehouses are better for the organized archiving of structured data for analysis purposes. What is a Data Lake?

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The Data Administration Newsletter

MAY 15, 2024

“Big data” refers to data sets that are so complex and large they cannot be analyzed or processed using traditional methods. However, despite the complexity of big data, it has become a major part of our digital-centric society.

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The Data Administration Newsletter

APRIL 3, 2024

Instead of a friend, I will refer to friends as data stewards. You’ve probably heard the expression, “A friend in need is a friend indeed.” For this column, I am going to play with that expression to make a point. Instead of indeed (meaning certainly), I am going to insert a space in the word […]

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