erwin

JANUARY 9, 2020

For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Today’s data modeling is not your father’s data modeling software. So here’s why data modeling is so critical to data governance.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

CIO Business Intelligence

DECEMBER 20, 2024

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Cloud storage.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

erwin

NOVEMBER 6, 2019

erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. Download Free GDPR Guide | Step By Step Guide to Data Governance for GDPR?. How to automate data mapping. The Role of Data Automation. We wonder why.

Metadata 102

Metadata Data Governance Management Cost-Benefit 102

CIO Business Intelligence

MARCH 19, 2025

Yet, while businesses increasingly rely on data-driven decision-making, the role of chief data officers (CDOs) in sustainability remains underdeveloped and underutilized. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

IT 59

IT Data Governance Data-driven Metrics 59

TDAN

SEPTEMBER 19, 2023

Information technology (IT) plays a vital role in data governance by implementing and maintaining strategies to manage, protect, and responsibly utilize data. Through advanced technologies and tools, IT ensures that data is securely stored, backed up, and accessible to authorized personnel.

Data Governance 81

Data Governance IT Strategy Management 81

Data Virtualization

JUNE 16, 2022

Reading Time: 6 minutes Data Governance as a concept and practice has been around for as long as data management has been around. It, however is gaining prominence and interest in recent years due to the increasing volume of data that needs to be.

Data Governance 98

Data Governance Data Integration Management Data Lake 98

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management. Its code generation architecture uses a visual interface to create Java or SQL code.

Management 324

Management Data Warehouse Data Quality Data Integration 324

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

Maintaining quality and trust is a perennial data management challenge, the importance of which has come into sharper focus in recent years thanks to the rise of artificial intelligence (AI).  With the aim of rectifying that situation, Bigeye’s founders set out to build a business around data observability. The company has raised $73.5

Data Quality 130

Data Quality Dashboards Data-driven Software 130

AWS Big Data

JANUARY 15, 2025

Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. Recently, EUROGATE has developed a digital twin for its container terminal Hamburg (CTH), generating millions of data points every second from Internet of Things (IoT)devices attached to its container handling equipment (CHE).

IoT 100

IoT Machine Learning Metadata Data-driven 100

O'Reilly on Data

FEBRUARY 4, 2019

Given the end-to-end nature of many data products and applications, sustaining ML and AI requires a host of tools and processes, ranging from collecting, cleaning, and harmonizing data, understanding what data is available and who has access to it, being able to trace changes made to data as it travels across a pipeline, and many other components.

Machine Learning 279

Machine Learning Enterprise IoT Big Data 279

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 98

Metadata Data Governance Enterprise Reporting 98

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 109

Data Governance Unstructured Data Metadata Data Lake 109

erwin

FEBRUARY 4, 2021

Better decision-making has now topped compliance as the primary driver of data governance. However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. Points of integration. Sources, like IoT.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

erwin

MAY 17, 2021

erwin by Quest just released the “2021 State of Data Governance and Empowerment” report. Today, data needs to fuel rapid decisions that make an organization more effective, customer-centric and competitive. Additionally, 85% monitor their databases and other data systems as part of their data governance programs.

Data Governance 99

Data Governance Data Quality Snapshot Reporting 99

erwin

NOVEMBER 6, 2020

Prashant Parikh, erwin’s Senior Vice President of Software Engineering, talks about erwin’s vision to automate every aspect of the data governance journey to increase speed to insights. Although AI and ML are massive fields with tremendous value, erwin’s approach to data governance automation is much broader.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

O'Reilly on Data

MAY 21, 2019

With all the hype around AI, it can be tempting to jump into use cases involving data types with which you aren’t familiar. We found that companies that have successfully adopted machine learning do so either by building on existing data products and services, or by modernizing existing models and algorithms. Source: O'Reilly.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

erwin

MAY 13, 2020

The role of data modeling (DM) has expanded to support enterprise data management, including data governance and intelligence efforts. After all, you can’t manage or govern what you can’t see, much less use it to make smart decisions. DM captures and shares how the business describes and uses data.

Data Governance 93

Data Governance Enterprise Modeling Management 93

Octopai

AUGUST 3, 2022

It’s also a critical trait for the data assets of your dreams. What is data with integrity? Data integrity is the extent to which you can rely on a given set of data for use in decision-making. Where can data integrity fall short? Too much or too little access to data systems.

Data Integration 98

Data Integration Manufacturing Data Quality Data Governance 98

O'Reilly on Data

FEBRUARY 11, 2019

In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Machine learning and AI require data—specifically, labeled data for training models. Data Platforms. Data Integration and Data Pipelines.

Big Data 272

Big Data Technology Machine Learning Deep Learning 272

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers.

Testing 300

Testing Machine Learning Consulting Data Science 300

BI-Survey

FEBRUARY 17, 2020

Data and data management processes are everywhere in the organization so there is a growing need for a comprehensive view of business objects and data. It is therefore vital that data is subject to some form of overarching control, which should be guided by a data strategy. This is where data governance comes in.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

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. Step 4: Data Sources.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

David Menninger's Analyst Perspectives

OCTOBER 30, 2024

An attractive element of Oracle’s SCM application is the company’s data management strategy, which incorporates several core elements to support the capabilities of its application, especially AI and GenAI. Oracle’s Enterprise Data Management (EDM) provides a foundation to manage master data, adapt to changes and ensure data consistency.

Management 130

Management IT Sales Manufacturing 130

erwin

JANUARY 24, 2019

In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape. They need their data mappings to fall under governance and audit controls, with instant access to dynamic impact analysis and lineage.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

erwin

FEBRUARY 6, 2020

As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report. One piece of the research that stuck with me is that 70% of respondents spend 10 or more hours per week on data-related activities.

Management 144

Management Data Governance Cost-Benefit Metadata 144

DataKitchen

NOVEMBER 18, 2021

Add all these facts together, and it paints a picture that something is amiss in the data world. . Yet, among all this, one area that hasn’t been studied is the data engineering role. We thought it would be interesting to look at how data engineers are doing under these circumstances. Restrictive data governance Policies.

Testing 246

Testing Data Governance Measurement Software 246

IBM Big Data Hub

AUGUST 24, 2022

The only question is, how do you ensure effective ways of breaking down data silos and bringing data together for self-service access? It starts by modernizing your data integration capabilities – ensuring disparate data sources and cloud environments can come together to deliver data in real time and fuel AI initiatives.

Data Integration 79

Data Integration Metadata Data-driven Data Architecture 79

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT. There are ample reasons why 77% of IT professionals are concerned about shadow IT, according to a report from Entrust.

IT 137

IT Risk Cost-Benefit Data Science 137

Data Virtualization

JUNE 9, 2022

Reading Time: 4 minutes Join our discussion on All Things Data with Fred Baradari, Federal Partner and Channel Sales Director at Denodo, with a focus on how Data Governance and Security are the real champions in bringing IT transformation. Listen to “The Role of.

Data Governance 52

Data Governance IT Sales Data Integration 52

David Menninger's Analyst Perspectives

OCTOBER 8, 2024

I assert that through 2027, three-quarters of enterprises will be engaged in data intelligence initiatives to increase trust in their data by leveraging metadata to understand how, when and where data is used in their organization, and by whom.

Data Quality 130

Data Quality Data Governance Enterprise Visualization 130

AWS Big Data

DECEMBER 4, 2024

From the Unified Studio, you can collaborate and build faster using familiar AWS tools for model development, generative AI, data processing, and SQL analytics. This experience includes visual ETL, a new visual interface that makes it simple for data engineers to author, run, and monitor extract, transform, load (ETL) data integration flow.

Visualization 101

Visualization Sales Data-driven Analytics 101

David Menninger's Analyst Perspectives

OCTOBER 24, 2024

Data fabric and data mesh are also both related to logical data management, which is the approach of providing virtualized access to data across an enterprise without the requirement to first extract and load it into a central repository.

Management 130

Management Data-driven Data Governance Data Lake 130

Alation

AUGUST 9, 2022

Today, data is more valuable to a company than it’s ever been. It can help you make data-driven decisions which can improve business performance, boost revenue, and improve efficiencies. But in the four years since it came into force, have companies reached their full potential for data integrity? What is data integrity?

Data Integration 52

Data Integration Data Quality Measurement Data-driven 52

Alation

JANUARY 27, 2022

People might not understand the data, the data they chose might not be ideal for their application, or there might be better, more current, or more accurate data available. An effective data governance program ensures data consistency and trustworthiness. It can also help prevent data misuse.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

erwin

JUNE 17, 2021

erwin by Quest just released the “ 2021 State of Data Governance and Empowerment” report. Today, data needs to fuel rapid decisions that make an organization more effective, customer-centric and competitive. Additionally, 85% monitor their databases and other data systems as part of their data governance programs.

Data Governance 59

Data Governance Data Quality Snapshot Reporting 59

CIO Business Intelligence

JANUARY 5, 2024

We closed three of our own data centers and went entirely to the cloud with several providers, and we also assembled a new data strategy to completely restructure the company, from security and finance, to hospitality and a new website. How have you rebuilt all the IT talent? How many people, then, make up Radisson’s IT area worldwide?

IT 116

IT Finance Cost-Benefit Strategy 116