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.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. What Is Metadata? Harvest data.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

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.

Data Quality 363

Data Quality Metadata Data Governance Publishing 363

erwin

OCTOBER 24, 2019

Untapped data, if mined, represents tremendous potential for your organization. While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. Metadata Is the Heart of Data Intelligence.

Metadata 104

Metadata Management Data-driven Data Architecture 104

Alation

JULY 19, 2021

What Is Metadata? Metadata is information about data. A clothing catalog or dictionary are both examples of metadata repositories. Indeed, a popular online catalog, like Amazon, offers rich metadata around products to guide shoppers: ratings, reviews, and product details are all examples of metadata.

Metadata 105

Metadata Management Data Governance Machine Learning 105

Ontotext

JUNE 10, 2021

And yeah, the real-world relationships among the entities represented in the data had to be fudged a bit to fit in the counterintuitive model of tabular data, but, in trade, you get reliability and speed. Ironically, relational databases only imply relationships between data points by whatever row or column they exist in.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

erwin

FEBRUARY 7, 2019

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. The volume and variety of data has snowballed, and so has its velocity. So it’s safe to say that organizations can’t reap the rewards of their data without automation.

Metadata 96

Metadata Insurance Data-driven Cost-Benefit 96

CIO Business Intelligence

NOVEMBER 19, 2024

The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows.

Management 116

Management Unstructured Data Deep Learning Metadata 116

AWS Big Data

NOVEMBER 7, 2024

Amazon Redshift is a fully managed, AI-powered cloud data warehouse that delivers the best price-performance for your analytics workloads at any scale. It provides a conversational interface where users can submit queries in natural language within the scope of their current data permissions. Your data is not shared across accounts.

Metadata 105

Metadata Sales Data Warehouse Optimization 105

erwin

SEPTEMBER 3, 2020

Why should you integrate data governance (DG) and enterprise architecture (EA)? Two of the biggest challenges in creating a successful enterprise architecture initiative are: collecting accurate information on application ecosystems and maintaining the information as application ecosystems change.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

AWS Big Data

DECEMBER 17, 2024

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. Industry-leading price-performance Amazon Redshift offers up to three times better price-performance than alternative cloud data warehouses.

Data Lake 95

Data Lake Data Warehouse Data-driven Optimization 95

erwin

NOVEMBER 13, 2020

The business challenges facing organizations today emphasize the value of enterprise architecture (EA) , so the future of EA is closer than you think. See also: What Is Enterprise Architecture? . Data Security & Risk Management. Data Center Consolidation. Data Governance (knowing what data you have and where it is).

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

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?. IDC Technology Spotlight, Data Intelligence in Context: Get the report (… it’s free).

Metadata 102

Metadata Data Governance Management Cost-Benefit 102

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. DataOps helps the data mesh deliver greater business agility by enabling decentralized domains to work in concert. . But first, let’s define the data mesh design pattern.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

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. Enterprise Architecture & Business Process Modeling.

Data Governance 138

Data Governance Enterprise Modeling Metadata 138

Rocket-Powered Data Science

FEBRUARY 15, 2023

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. These changes may include requirements drift, data drift, model drift, or concept drift. I suggest that the simplest business strategy starts with answering three basic questions: What?

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

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

erwin

OCTOBER 3, 2019

Enterprise architecture (EA) benefits modern organizations in many ways. It provides a holistic, top down view of structure and systems, making it invaluable in managing the complexities of data-driven business. Once considered solely a function of IT, enterprise architecture has historically operated from an ivory tower.

Enterprise 111

Enterprise Cost-Benefit Data-driven Risk 111

Ontotext

JULY 29, 2021

The Semantic Web, both as a research field and a technology stack, is seeing mainstream industry interest, especially with the knowledge graph concept emerging as a pillar for data well and efficiently managed. And what are the commercial implications of semantic technologies for enterprise data? Source: tag.ontotext.com.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

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.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

erwin

DECEMBER 19, 2019

Data has been the driving force of the decade. Many organizations have tried and failed to become truly “data-driven,” and many organizations will continue to do so. Many organizations have tried and failed to become truly “data-driven,” and many organizations will continue to do so.

Metadata 75

Metadata Data Governance Management Digital Transformation 75

O'Reilly on Data

MARCH 31, 2020

AI products are automated systems that collect and learn from data to make user-facing decisions. All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Why AI software development is different.

Management 363

Management Machine Learning Experimentation Metrics 363

AWS Big Data

DECEMBER 4, 2024

With the growing emphasis on data, organizations are constantly seeking more efficient and agile ways to integrate their data, especially from a wide variety of applications. In addition, organizations rely on an increasingly diverse array of digital systems, data fragmentation has become a significant challenge.

Data Integration 112

Data Integration Data Lake Statistics Data-driven 112

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. Organizations can adopt different approaches when defining and structuring domains and domain units.

Data Governance 119

Data Governance Metadata Enterprise Sales 119

erwin

DECEMBER 6, 2019

In the data-driven era, CIO’s need a solid understanding of data governance 2.0 … Data governance (DG) is no longer about just compliance or relegated to the confines of IT. Today, data governance needs to be a ubiquitous part of your organization’s culture. Creating a Culture of Data Governance.

Data Governance 145

Data Governance Metadata Enterprise Data-driven 145

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 100

Data Governance Enterprise Data Quality Metadata 100

erwin

DECEMBER 3, 2020

As the amount of data grows exponentially, organizations turn to data intelligence to reach deeper conclusions about driving revenue, achieving regulatory compliance and accomplishing other strategic objectives. It’s no secret that data has grown in volume, variety and velocity, with 2.5

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

CIO Business Intelligence

MAY 24, 2022

Just after launching a focused data management platform for retail customers in March, enterprise data management vendor Informatica has now released two more industry-specific versions of its Intelligent Data Management Cloud (IDMC) — one for financial services, and the other for health and life sciences.

Finance 140

Finance Management Metadata Machine Learning 140

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. The role is becoming increasingly important as organizations move to capitalize on the volumes of data they collect through business intelligence strategies.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

Octopai

JUNE 30, 2022

Establishing a single, enterprise-wide source of truth? Increasing data quality and accuracy? Why are data catalog use cases so downright… predictable? If you can rattle off the top five or ten enterprise data catalog use cases in your sleep, this post is an attempt to add a little more color and variety to your data life.

Enterprise 96

Enterprise Data-driven Data Quality Data Lake 96

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.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

erwin

JANUARY 14, 2021

These surveys helped IDC develop a model that describes the five stages of enterprise recovery , aligning business focus with the economic situation: When the COVID-19 crisis hit, organizations focused on business continuity. When we enter into the next normal, the future enterprise will emerge.

Digital Transformation 143

Digital Transformation Metadata Big Data Data-driven 143

Sisense

JULY 6, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. Employing Enterprise Data Management (EDM).

Enterprise 98

Enterprise Management Data Architecture Data-driven 98

Timo Elliott

JANUARY 6, 2022

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. Remember that dark data is the data you have but don’t understand. So how do you find your dark data? Analyze your metadata.

IT 135

IT Metadata Data-driven Data Governance 135

erwin

JANUARY 30, 2020

I’m excited to share the results of our new study with Dataversity that examines how data governance attitudes and practices continue to evolve. Defining Data Governance: What Is Data Governance? . 1 reason to implement data governance. Constructing a Digital Transformation Strategy: How Data Drives Digital.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

erwin

MARCH 12, 2020

With metadata-driven automation, many DevOps processes can be automated, adding more “horsepower” to increase their speed and accuracy. Data lineage and impact analysis views for ‘data in motion’ also stay up to date with no additional effort. Data Intelligence: Speed and Quality Without Compromise.

Metadata 140

Metadata Digital Transformation Data-driven Enterprise 140