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 are these rampant and often uncontrolled projects to collect metadata properly motivated? What Is Metadata?

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

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. Minimizing Risk Exposure with Data Intelligence.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

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 are these rampant and often uncontrolled projects to collect metadata properly motivated? What Is Metadata?

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Addressing the Challenge.

Data Governance 143

Data Governance IT Risk Data Lake 143

Ontotext

AUGUST 19, 2020

Metadata used to be a secret shared between system programmers and the data. Metadata described the data in terms of cardinality, data types such as strings vs integers, and primary or foreign key relationships. Inevitably, the information that could and needed to be expressed by metadata increased in complexity.

Metadata 59

Metadata Knowledge Discovery Cost-Benefit Data Governance 59

erwin

JANUARY 24, 2019

With an automation framework, data professionals can meet these needs at a fraction of the cost of the traditional manual way. In data governance terms, an automation framework refers to a metadata-driven universal code generator that works hand in hand with enterprise data mapping for: Pre-ETL enterprise data mapping.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

Octopai

SEPTEMBER 22, 2019

. – Property insurers are using troves of geographical, geological, climate, and other data to assess all kinds of hazard risks. – All types of insurance companies are leveraging data analytics to detect and prosecute fraud. Insurance Metadata Management. Both of these two keys deal with metadata.

Metadata 41

Metadata Insurance Management Data Governance 41

erwin

JUNE 26, 2020

It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., legacy systems, data warehouses, flat files stored on individual desktops and laptops, and modern, cloud-based repositories.). This also diminishes the value of data as an asset. Technical Metadata.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

AWS Big Data

APRIL 29, 2024

Effective permission management helps tackle these challenges by controlling how data is accessed and used, providing data integrity and minimizing the risk of data breaches. Apache Ranger is a comprehensive framework designed for data governance and security in Hadoop ecosystems.

Management 95

Management Big Data Metadata Data Warehouse 95

erwin

SEPTEMBER 17, 2020

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

datapine

SEPTEMBER 29, 2022

No, its ultimate goal is to increase return on investment (ROI) for those business segments that depend upon data. With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. The 5 Pillars of Data Quality Management.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Octopai

APRIL 24, 2023

This new native integration enhances our data lineage solution by providing seamless integration with one of the most powerful cloud-based data warehouses, benefiting data teams and enabling support for a broader range of data lineage, discovery, and catalog.

Cost-Benefit 96

Cost-Benefit Data-driven Data Warehouse Data Governance 96

Alation

MAY 19, 2022

Establish what data you have. Active metadata gives you crucial context around what data you have and how to use it wisely. Active metadata provides the who, what, where, and when of a given asset, showing you where it flows through your pipeline, how that data is used, and who uses it most often. Data Governance.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

IBM Big Data Hub

APRIL 10, 2023

A well-designed data foundation can also be a game-changer when it comes to managing ESG (environmental, social, and governance) commitments. Fortunately, business benefits and ESG benefits are not mutually exclusive: sustainability efforts can help boost business value for organizations that are committed and effective in execution.

Strategy 94

Strategy Data Architecture Cost-Benefit Reporting 94

IBM Big Data Hub

JULY 6, 2022

Businesses of all sizes, in all industries are facing a data quality problem. 73% of business executives are unhappy with data quality and 61% of organizations are unable to harness data to create a sustained competitive advantage 1. Instead, Databand.ai

Metadata 57

Metadata Data Quality Snapshot Cost-Benefit 57

erwin

MAY 1, 2023

The World Wide Data Vault Consortium ( WWDVC 2023 ) started today and erwin ® by Quest ® , one of the few active participants working toward a Data Vault 2.0 certification with the DataVaultAlliance , is announcing major advancements in our erwin Data Vault Automation solution.

Cost-Benefit 52

Cost-Benefit Data Governance Metadata Data-driven 52

Cloudera

MARCH 22, 2023

Luke Roquet recently drilled into the topic of data observability with Mark Ramsey of Ramsey International (RI) to also cover the five pillars (freshness, distribution, volume, schema, and lineage) that describe the quality and reliability of data. And, crucial for a hybrid data platform, it does so across hybrid cloud.

Metrics 85

Metrics Data Governance Cost-Benefit Dashboards 85

erwin

APRIL 11, 2019

Fortunately, whenever the time comes, the first point of call will always be data governance, so organizations can prepare. Effective compliance with new data protection regulations requires a robust understanding of the “what, where and who” in terms of data and the stakeholders with access to it (i.e., employees).

Insurance 100

Insurance Data-driven Data Governance Metadata 100

IBM Big Data Hub

JANUARY 5, 2023

Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues. Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Alation

MARCH 22, 2022

So, how can you quickly take advantage of the DataOps opportunity while avoiding the risk and costs of DIY? This platform can be implemented in a cost-effective serverless cloud environment and put to work right away. DataOps is critically dependent on robust governance and cataloging capabilities. Alation’s DataOps Role.

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Keep data lineage secure and governed.

Analytics 108

Analytics Digital Transformation Risk Forecasting 108

IBM Big Data Hub

JUNE 30, 2022

When it comes to getting a data strategy right, I like to apply some of the basic principles of a successful business model — scalability, cost-effectiveness and flexibility for change — and extend these concepts to technology, processes and organization.

Data Strategy 57

Data Strategy Strategy Business Objectives Data-driven 57

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

CIO Business Intelligence

MARCH 29, 2022

Turns out, exercise equipment doesn’t provide many benefits when it goes unused. The same principle applies to getting value from data. Organizations may acquire a lot of data, but they aren’t getting much value from it. This type of data waste results in missing out on the second project advantage.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

AWS Big Data

MARCH 10, 2023

You can simplify your data strategy by running multiple workloads and applications on the same data in the same location. In this post, we show how you can build a serverless transactional data lake with Apache Iceberg on Amazon Simple Storage Service (Amazon S3) using Amazon EMR Serverless and Amazon Athena.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

Alation

FEBRUARY 13, 2020

A typical data catalog implementation process begins by defining the business and technical case, proceeds through technology selection and installation, then moves on to data discovery and populating the metadata catalog. Figure 1 – Data Catalog Implementation. Will data stewards assume curation responsibilities?

Metadata 52

Metadata Data Governance Cost-Benefit Visualization 52

Ontotext

APRIL 21, 2021

The problem was the left hand had no way of knowing the systemic issues around data governance, risk management and compliance framework. Through rich metadata and automated reasoning , it is possible to express the complexity of assets and their relationships. Conclusion.

Metadata 59

Metadata Finance Cost-Benefit Data Quality 59

IBM Big Data Hub

MAY 9, 2022

Data governance and privacy. Data privacy laws such as the GDPR in the EU, CCPA in California and PIPEDA in Canada have been enacted at the same time businesses are revitalizing efforts to establish data quality, not just data volume. The cost of ignoring these imperatives is staggering. Read the eBook.

Management 57

Management Data Quality Metadata Data Integration 57

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?

Data Governance 145

Data Governance IT Cost-Benefit Metadata 145

Alation

NOVEMBER 28, 2022

It’s impossible for data teams to assure the data quality of such spreadsheets and govern them all effectively. If unaddressed, this chaos can lead to data quality, compliance, and security issues. This can ultimately result in fines or suboptimal decisions that cost the company significantly in losses.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

Ontotext

MARCH 18, 2020

They use semantics – it means that data is organized by meaning and put into the right context, which prevents data silos. Finally, they combine classical technologies like data governance and data management with modern analytics. Ontotext Knowledge Graph Platform.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Anmut

JUNE 9, 2023

Data governance roles are positions within an organisation that ensure data is managed and used effectively. Just like companies use corporate governance to run the business and make the most of their assets, these roles are critical for managing data as an asset and maximising its value.

Data Governance 52

Data Governance Cost-Benefit Metadata Strategy 52

Domino Data Lab

OCTOBER 1, 2020

Traditionally, this problem has been solved by either denying access to this data altogether (a not infrequent outcome), or creating and maintaining multiple copies of many datasets for each possible use case by omitting the data that a particular user is not allowed to see (e.g. PII, PHI, etc).

Enterprise 105

Enterprise Metadata Cost-Benefit Data Processing 105

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.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

Octopai

OCTOBER 5, 2021

And while we’re on the topic of manually gathering, centralizing, and inserting information, we’ll tip you off that unless you have access to a whole team of indentured servants, you’re going to want a data catalog that can be constructed as automatically as possible. Total cost of ownership (TCO). Automation is the name of the game.

Business Intelligence 84

Business Intelligence Software Cost-Benefit Metadata 84

Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. This blog focuses on governing spreadsheets that contain data, information, and metadata, and must themselves be governed. Simply put, metadata adds context.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

AWS Big Data

MAY 7, 2024

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. Amazon DataZone allows you to simply and securely govern end-to-end data assets stored in your Amazon Redshift data warehouses or data lakes cataloged with the AWS Glue data catalog.

Metadata 74

Metadata Data Lake Data Processing Data-driven 74