Dataversity

JULY 12, 2021

In my eight years as a Gartner analyst covering Master Data Management (MDM) and two years advising clients and prospects at a leading vendor, I have seen first-hand the importance of taking a multidomain approach to MDM. Click to learn more about author Bill O’Kane.

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BizAcuity

APRIL 14, 2022

For example, one company let all its data scientists access and make changes to their data tables for report generation, which caused inconsistency and cost the company significantly. The best way to avoid poor data quality is having a strict data governance system in place. Unstructured Data Management.

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Dataversity

AUGUST 16, 2024

Part 1 of this article considered the key takeaways in data governance, discussed at Enterprise Data World 2024. […] The post Enterprise Data World 2024 Takeaways: Key Trends in Applying AI to Data Management appeared first on DATAVERSITY.

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Astera

MAY 9, 2023

In such a scenario, it becomes imperative for businesses to follow well-defined guidelines to make sense of the data. That is where data governance and data management come into play. Let’s look at what exactly the two are and what the differences are between data governance vs. data management.

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Dataversity

AUGUST 30, 2024

Master data lays the foundation for your supplier and customer relationships. However, teams often fail to reap the full benefits […] The post How to Win the War Against Bad Master Data appeared first on DATAVERSITY.

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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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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)? Data breaches and regulatory compliance are also growing concerns.

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Dataversity

DECEMBER 24, 2020

The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” Click to learn more about author Scott Taylor.

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Data Management Data Quality Master Data Management Data Governance 242

Dataversity

JANUARY 20, 2021

The smart factory and plant now incorporate an array of connected technologies, all generating a vast volume of data. As a result, data will continue its exponential growth, […]. The post Why Effective Data Management Is Key in a Connected World appeared first on DATAVERSITY.

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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. Types of metadata. Image by Astera.

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The Data Administration Newsletter

MARCH 15, 2022

I had something else nearly ready that was expanding on the broad questions of ethics in information and data management I discussed last time, drawing on some work I’m doing with an international client and a recent roundtable discussion I had with some regulators […].

Data Management 125

Data Management Master Data Management Data Governance Government 125

Astera

APRIL 3, 2024

So, when everyone in your organization understands their role in maintaining data quality, everyone will take ownership of the data they interact with, and, as a result, everyone will have the same high-quality information to work with. Data quality rules Data quality rules take a granular approach to maintaining data quality.

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Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

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Astera

JULY 13, 2023

Without a systematic approach to data preparation of these diverse data sets, valuable insights can easily slip through the cracks, hindering the company’s ability to make informed decisions. That is where data integration and data consolidation come in.

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Dataversity

MAY 7, 2024

Most, if not all, organizations need help utilizing the data collected from various sources efficiently, thanks to the ever-evolving enterprise data management landscape. Data is collected and stored in siloed systems 2. Different verticals or departments own different types of data 3.

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Astera

AUGUST 22, 2024

Why Data Quality is Crucial for M&A Success Data quality means ensuring that a company’s information is precise, complete, consistent, timely, and relevant. Organizations need to maintain high data quality in M&As to merge operations smoothly or transfer assets.

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Dataversity

MAY 9, 2022

Data fabric is redefining enterprise data management by connecting distributed data sources, offering speedy data access, and strengthening data quality and governance. This article gives an expert outlook on the key ingredients that go into building […].

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Dataversity

FEBRUARY 12, 2021

Data has been called the new oil. Now on a trajectory towards increased regulation, the data gushers of yore are being tamed. Data will become trackable, […]. Click to learn more about author Brian Platz.

Digital 130

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Astera

AUGUST 8, 2023

While data volume is increasing at an unprecedented rate today, more data doesnt always translate into better insights. What matters is how accurate, complete and reliable that data. IBM InfoSphere Information Server enables continuous data cleansing and tracking, allowing organizations to turn raw data into trusted information.

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Astera

JANUARY 25, 2024

Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. How Does Reverse ETL Fit in Your Data Infrastructure Reverse ETL helps bridge the gap between central data warehouse and operational applications and systems.

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Astera

JANUARY 18, 2024

In this article, we will explore some of the best Talend alternatives so you can make an informed decision when deciding between  data integration tools. Manage All Your Data From End-to-End With a Single, Unified Platform Looking for the best Talend alternative? Pros: Support for multiple data sources and destinations.

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The Data Administration Newsletter

NOVEMBER 30, 2021

It does not matter if the project is architecture, construction, business strategy, or the one of the many facets of data and information management. The knowledge of a Subject Matter Expert, or SME, can make or break any projects of any type. To become a SME, a team needs to have lived and worked in […].

Master Data Management 52

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Astera

APRIL 24, 2024

As data variety and volumes grow, extracting insights from data has become increasingly formidable. Processing this information is beyond traditional data processing tools. Automated data aggregation tools offer a spectrum of capabilities that can overcome these challenges.

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Business Bullet

JANUARY 17, 2025

This flagship event will bring together global data professionals to explore the latest trends, technologies, and strategies transforming the fields of Data Governance, AI Governance, and Master Data Management (MDM). Early bird discounts are available!

Master Data Management 52

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Insight Software

AUGUST 15, 2024

In today’s fast-paced business environment, having control over your data can be the difference between success and stagnation. Leaning on Master Data Management (MDM), the creation of a single, reliable source of master data, ensures the uniformity, accuracy, stewardship, and accountability of shared data assets.

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Insight Software

AUGUST 30, 2024

AI can also be used for master data management by finding master data, onboarding it, finding anomalies, automating master data modeling, and improving data governance efficiency. If your information is littered with inaccuracies, the output generated by the AI will be too.

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