datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

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Data Quality Metrics Data-driven Management 241

erwin

AUGUST 28, 2020

Organizations with a solid understanding of data governance (DG) are better equipped to keep pace with the speed of modern business. In this post, the erwin Experts address: What Is Data Governance? Why Is Data Governance Important? What Is Good Data Governance? What Is Data Governance?

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erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

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erwin

OCTOBER 8, 2020

So if you’re going to move from your data from on-premise legacy data stores and warehouse systems to the cloud, you should do it right the first time. And as you make this transition, you need to understand what data you have, know where it is located, and govern it along the way. Then you must bulk load the legacy data.

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erwin

APRIL 16, 2021

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Data Governance Is Business Transformation. Predictability.

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Data Governance Metadata Cost-Benefit Digital Transformation 128

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Data governance has no standard definition.

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Data Governance Digital Transformation Data-driven Cost-Benefit 122

erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. GDPR: Key Differences.

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erwin

MARCH 17, 2020

Teams need to urgently respond to everything from massive changes in workforce access and management to what-if planning for a variety of grim scenarios, in addition to building and documenting new applications and providing fast, accurate access to data for smart decision-making. Data Modeling. Data Governance.

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DataKitchen

DECEMBER 7, 2021

Back by popular demand, we’ve updated our data nerd Gift Giving Guide to cap off 2021. We’ve kept some classics and added some new titles that are sure to put a smile on your data nerd’s face. Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, by Randy Bean.

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CIO Business Intelligence

MAY 10, 2023

When I joined, there was a lot of silo data everywhere throughout the organization, and everyone was doing their own reporting. It was also a lot of churning for the different groups to come up with those data on the weekly, monthly and quarterly basis.” But where to begin? “We That’s the first level of a cultural shift.

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Data-driven IT Digital Transformation Data Governance 120

TDAN

JULY 6, 2021

The business case for data governance has been made several times in these pages. There can be no disagreement that every company and every government office must have a data governance strategy in place. Establishing good data governance is not just about avoiding regulatory fines.

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TDAN

JUNE 15, 2021

Data Governance describes the practices and processes organizations use to manage the access, use, quality and security of an organizations data assets. The data-driven business era has seen a rapid rise in the value of organization’s data resources.

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erwin

APRIL 2, 2021

Organizations are managing more data than ever. With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance. Who is authorized to use it and how?

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CIO Business Intelligence

APRIL 29, 2022

This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. Software development, once solely the domain of human programmers, is now increasingly the by-product of data being carefully selected, ingested, and analysed by machine learning (ML) systems in a recurrent cycle.

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Cloudera

NOVEMBER 2, 2021

Becoming a data-driven organization is not exactly getting any easier. Businesses are flooded with ever more data. Although it is true that more data enables more insight, the effort needed to separate the wheat from the chaff grows exponentially. Data governance: three steps to success.

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Data Governance Data-driven Data Processing Risk 103

erwin

MARCH 25, 2021

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Led by Frank Pörschmann of iDIGMA GmbH, an IT industry veteran and data governance strategist, the second webinar focused on “ The Value of Data Governance & How to Quantify It.”.

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Data Governance IT Cost-Benefit Risk 109

CIO Business Intelligence

MAY 17, 2023

The big picture : In the midst of a rush to technology modernization, it’s critical to ensure the organization’s data assets are not overlooked. Why it matters:  Data-driven business decisions must factor prominently in modernization efforts. The bottom line:  Don’t leave data behind.

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CIO Business Intelligence

JUNE 9, 2023

The ever-increasing emphasis on data and analytics has organizations paying more attention to their data governance strategies these days, as a recent Gartner survey found that 63% of data and analytics leaders say their organizations are increasing investment in data governance. The reason?

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Data Governance Cost-Benefit Data-driven Strategy 105

Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

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Data Governance Risk Data-driven Measurement 92

AWS Big Data

AUGUST 13, 2024

Amazon DataZone has announced a set of new data governance capabilities—domain units and authorization policies—that enable you to create business unit-level or team-level organization and manage policies according to your business needs.

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Data Governance Metadata Enterprise Sales 119

Alation

APRIL 13, 2021

Much of his work focuses on democratising data and breaking down data silos to drive better business outcomes. In this blog, Chris shows how Snowflake and Alation together accelerate data culture. He shows how Texas Mutual Insurance Company has embraced data governance to build trust in data.

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Insurance Data Governance Data-driven Metrics 98

Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Why is your data governance strategy failing?

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Data Governance Strategy Data Quality Metrics 96

Analytics Vidhya

NOVEMBER 21, 2022

This article was published as a part of the Data Science Blogathon. Introduction Currently, most businesses and big-scale companies are generating and storing a large amount of data in their data storage. Many companies are there which are completely data-driven.

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Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

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Data Governance Enterprise Data Quality Metadata 105

Cloudera

FEBRUARY 23, 2022

In addition to that, the march of network virtualisation combined with the cloudification of IT have driven further changes in operations. Their processes are ‘data driven’, their networks are trending towards automation, and AI systems are powering customer engagement in store , online and at home.

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Data-driven Advertising IoT Business Objectives 100

Smart Data Collective

APRIL 24, 2023

Big data has led to some huge changes in the way we live. John Deighton is a leading expert on big data technology. His research focuses on the importance of data in the online world. Innovations in the early 20th century changed how data could be used. Deighton studies how this evolution came to be.

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Data-driven Software Big Data Data Governance 111

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

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Cloudera

JUNE 14, 2024

At a time when artificial intelligence (AI) and tools like generative AI (GenAI) and large language models (LLMs) have exploded in popularity, getting the most out of organizational data is critical to driving business value and carving out a competitive market advantage. The need for effective data governance itself is not a new phenomenon.

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Data Governance Data-driven Insurance Enterprise 79

Cloudera

AUGUST 12, 2021

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. Collecting workforce data as a tool for talent management. Data enables Innovation & Agility.

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Data-driven Manufacturing Insurance Risk Management 112

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.

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Data Quality Data Governance Metadata Metrics 98

Cloudera

SEPTEMBER 23, 2022

In a recent blog, Cloudera Chief Technology Officer Ram Venkatesh described the evolution of a data lakehouse, as well as the benefits of using an open data lakehouse, especially the open Cloudera Data Platform (CDP). Modern data lakehouses are typically deployed in the cloud. Your data can grow infinitely.

Data Governance 114

Data Governance Strategy Enterprise Cost-Benefit 114

O'Reilly on Data

FEBRUARY 11, 2020

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

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Data Quality Metadata Data Governance Publishing 309

AWS Big Data

SEPTEMBER 26, 2024

In today’s rapidly evolving digital landscape, enterprises across regulated industries face a critical challenge as they navigate their digital transformation journeys: effectively managing and governing data from legacy systems that are being phased out or replaced. The following diagram illustrates the end-to-end solution.

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Data Governance Enterprise Management Data Lake 115

Cloudera

OCTOBER 5, 2023

Your company collects data from different sources and then you analyze the data to help make the right decisions. Or you are only currently using data for a few use cases and struggle to implement organization wide. Or you are only currently using data for a few use cases and struggle to implement organization wide.

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Timo Elliott

MAY 19, 2023

Mastering Data Hygiene Reliable data is at the core of all digital transformation. You can see their full entryv” Enabling a Data-Driven Culture by Integrating SAP Solutions with SAP Business Technology Platform ” on the awards site. It’s always about people!

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CIO Business Intelligence

DECEMBER 11, 2024

If 2023 was the year of AI discovery and 2024 was that of AI experimentation, then 2025 will be the year that organisations seek to maximise AI-driven efficiencies and leverage AI for competitive advantage. Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose.

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