Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

IBM Big Data Hub

AUGUST 23, 2023

Because of this, when we look to manage and govern the deployment of AI models, we must first focus on governing the data that the AI models are trained on. This data governance requires us to understand the origin, sensitivity, and lifecycle of all the data that we use. and watsonx.data.

Data Governance 57

Data Governance Enterprise Modeling Risk 57

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?

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

TDAN

DECEMBER 6, 2022

Over the last decade, there have been more than 4,000 data breaches in healthcare organizations. Unfortunately, a lot of those data breaches come from poorly organized or secure data. The solution to these sensitive issues in the healthcare industry is simple: data governance.

Data Governance 52

Data Governance Data Strategy Strategy Management 52

Octopai

AUGUST 7, 2019

If you want to do business with customers in California , Europe , or just about anywhere else, you are subject to laws that define how you can acquire and use data, under what circumstances you must delete it, and penalties for noncompliance—even if your business has no physical presence in those places. The Solution: Data Governance Tools.

Data Governance 49

Data Governance Metadata Reporting Enterprise 49

erwin

APRIL 2, 2021

How can companies protect their enterprise data assets, while also ensuring their availability to stewards and consumers while minimizing costs and meeting data privacy requirements? Data Security Starts with Data Governance. Lack of a solid data governance foundation increases the risk of data-security incidents.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

IBM Big Data Hub

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

Data Governance 83

Data Governance Business Objectives Strategy Data Quality 83

erwin

APRIL 15, 2020

In our businesses, it is vital that we work to develop a deeper understanding of the sources, methods and quality of incoming third-party data. This deeper understanding will help us make better decisions about the risks and rewards of using that external data. Data Governance Methods for Data Distancing.

Data Governance 134

Data Governance Metadata Testing Reporting 134

InsightOut

FEBRUARY 16, 2024

Understanding the Challenges Mid-sized companies often find themselves in a unique position—they have outgrown the data management capabilities of small businesses but may not yet have the resources to implement the sophisticated data governance frameworks of larger corporations.

Data Quality 52

Data Quality Data-driven Data Governance Measurement 52

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.

Data Governance 96

Data Governance Enterprise Data Quality Metadata 96

O'Reilly on Data

APRIL 25, 2019

The O’Reilly Data Show Podcast: Neelesh Salian on data lineage, data governance, and evolving data platforms. In this episode of the Data Show , I spoke with Neelesh Salian , software engineer at Stitch Fix , a company that combines machine learning and human expertise to personalize shopping.

Machine Learning 201

Machine Learning Data Governance Software Technology 201

CIO Business Intelligence

NOVEMBER 29, 2022

Given the volume of data most organizations have, they need agile technologies that can provide a vast array of services to streamline content management and compliance, leverage automation to simplify data governance, and identify and optimize all of their company’s valuable data. Data Management

Data Governance 98

Data Governance Digital Transformation Forecasting Software 98

Alation

APRIL 13, 2021

He works with Snowflake partners to craft joint solutions. 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. Technology is an enabler for data culture.

Insurance 98

Insurance Data Governance Data-driven Metrics 98

Octopai

JUNE 26, 2020

In order to figure out why the numbers in the two reports didn’t match, Steve needed to understand everything about the data that made up those reports – when the report was created, who created it, any changes made to it, which system it was created in, etc. Enterprise data governance. Metadata in data governance.

Metadata 84

Metadata Data Governance Enterprise Reporting 84

Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

IBM Big Data Hub

JANUARY 25, 2023

In our last blog , we introduced Data Governance: what it is and why it is so important. In this blog, we will explore the challenges that organizations face as they start their governance journey. Organizations have long struggled with data management and understanding data in a complex and ever-growing data landscape.

Data Governance 52

Data Governance Data-driven Strategy Management 52

erwin

JUNE 19, 2020

Despite the similarities in name, there are a number of key differences between an enterprise architecture and solutions architecture. Much like the differences between enterprise architecture (EA) and data architecture, EA’s holistic view of the enterprise will often see enterprise and solution architects collaborate.

Enterprise 130

Enterprise Data Architecture Strategy Data Governance 130

Alation

JANUARY 20, 2022

In Ryan’s “9-Step Process for Better Data Quality” he discussed the processes for generating data that business leaders consider trustworthy. To be clear, data quality is one of several types of data governance as defined by Gartner and the Data Governance Institute.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

AWS Big Data

OCTOBER 10, 2023

Data governance is the process of ensuring the integrity, availability, usability, and security of an organization’s data. Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake.

Data Quality 89

Data Quality Data Governance Data Lake Testing 89

InsightOut

FEBRUARY 16, 2024

Understanding the Challenges Mid-sized companies often find themselves in a unique position—they have outgrown the data management capabilities of small businesses but may not yet have the resources to implement the sophisticated data governance frameworks of larger corporations.

Data Quality 52

Data Quality Data-driven Data Governance Measurement 52

erwin

JULY 2, 2020

Users discuss how they are putting erwin’s data modeling, enterprise architecture, business process modeling, and data intelligences solutions to work. IT Central Station members using erwin solutions are realizing the benefits of enterprise modeling and data intelligence. For Matthieu G., For Rick D.,

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

Alation

FEBRUARY 15, 2022

The answer to all of these questions and more is data governance. Why Is Data Management Important for the Retail Industry? OK, if you read the words “data governance” and started to doze off, bear with me. Data governance, when approached proactively, is just data management from a different perspective.

Data Governance 52

Data Governance Data Quality Metrics Data-driven 52

CIO Business Intelligence

OCTOBER 13, 2022

Any vertical modernization approach should balance in-depth, vertical sector expertise with a solutions-based methodology that caters to specific business needs. With the right industry solution and implementation partner in place, organizations can steer towards effective modernization.

Insurance 112

Insurance Data Warehouse Manufacturing Forecasting 112

CDW Research Hub

AUGUST 12, 2020

What is your organization doing to protect the value of your data? A strong data governance strategy helps ensure that your data is usable, accessible and protected, guaranteeing trust in the quality and consistency of the data. But creating a data governance program is not something you can do overnight.

Data Governance 52

Data Governance Data-driven Dashboards Strategy 52

Smarten

MARCH 12, 2020

Self-Serve Data Prep: You Can Have Data Agility AND Data Governance! When you are considering an augmented analytics solution, you will want to look at the capabilities for self-serve data preparation (SSDP). The benefits of these solutions cannot be overstated.

Data Governance 67

Data Governance Predictive Modeling Data-driven Visualization 67

Alation

SEPTEMBER 14, 2021

The importance of data governance is growing. Here at Alation, we’ve seen the demand for new robust governance capabilities skyrocket in the past year. With this change, we seek to better tailor our solution to the precise needs of each customer. Alation Data Governance App. Data Governance Service Offering.

Data Governance 52

Data Governance Dashboards Measurement Machine Learning 52

erwin

JUNE 19, 2020

Despite the similarities in name, there are a number of key differences between an enterprise architecture and solutions architecture. Much like the differences between enterprise architecture (EA) and data architecture, EA’s holistic view of the enterprise will often see enterprise and solution architects collaborate.

Enterprise 94

Enterprise Data Architecture Strategy Data Governance 94

IBM Big Data Hub

APRIL 9, 2018

There’s a general need for next-gen executives to not only understand corporate regulations, but be able to adhere to and follow them using metadata solutions like data governance.

Data Governance 95

Data Governance Metadata Data Integration Analytics 95

erwin

MARCH 8, 2019

GDPR) and to ensure peak business performance, organizations often bring consultants on board to help take stock of their data assets. This sort of data governance “stock check” is important but can be arduous without the right approach and technology. That’s where data governance comes in ….

Data Governance 65

Data Governance Metadata Data Warehouse Data Quality 65

Anmut

OCTOBER 29, 2020

Data governance - who's counting? The role of data governance. This large gap between reported figures raises tough questions on the reliability of COVID-19 tracking data. In dealing with situations like pandemic data, how important are aspects of data governance such as standardised definitions?

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

IBM Big Data Hub

NOVEMBER 4, 2022

So, it is imperative to have a clear data quality strategy that relies on proactive data quality management as data moves from producers to consumers. Unlock quality data with IBM. We are excited to share that Gartner recently named IBM a Leader in the 2022 Gartner® Magic Quadrant for Data Quality Solutions.

Data Quality 57

Data Quality Metadata Data Governance Data-driven 57

erwin

JANUARY 24, 2019

They need their data mappings to fall under governance and audit controls, with instant access to dynamic impact analysis and lineage. With an automation framework, data professionals can meet these needs at a fraction of the cost of the traditional manual way. Benefits of an Automation Framework for Data Governance.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

erwin

NOVEMBER 19, 2020

erwin has once again been positioned as a Leader in the Gartner “2020 Magic Quadrant for Metadata Management Solutions.”. The post erwin Positioned as a Leader in Gartner’s 2020 Magic Quadrant for Metadata Management Solutions for Second Year in a Row appeared first on erwin, Inc.

Metadata 98

Metadata Management Digital Transformation Data Governance 98

IBM Big Data Hub

APRIL 8, 2024

Gartner has estimated that 80% of organizations fail to scale digital businesses because of outdated governance processes. Data is an asset, but to provide value, it must be organized, standardized and governed.

Data-driven 61

Data-driven Management Data Governance Strategy 61

CDW Research Hub

MAY 29, 2019

Data governance helps organizations manage their information and answer questions about business performance, allowing them to better understand data, and govern it to mitigate compliance risks and empower information stakeholders. Checklist: Building an Enterprise Data Governance Program.

Data Governance 40

Data Governance Data Quality ROI Metadata 40

Octopai

JULY 9, 2020

Actually, effective data lineage delivers important enhancements to BI and enables informed decision-making , as it enables data teams to tackle numerous use cases such as regulatory compliance, system upgrades & migrations, M&A (system consolidation), reporting inaccuracies, business changes etc.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86