erwin

FEBRUARY 6, 2020

Here’s the thing: you do not need to waste precious time, energy and resources to search, manage, analyze, prepare or protect data manually. In 2018, IDC predicted that the collective sum of the world’s data would grow from 33 zettabytes (ZB) to 175 ZB by 2025. That’s a lot of data to manage!

Management 144

Management Data Governance Cost-Benefit Metadata 144

erwin

MARCH 17, 2020

We want to help, so we built the erwin Rapid Response Resource Center. Click here to request access to the erwin Rapid Response Resource Center (ERRRC). Your data scientists need access to quality data harvested from every data source in your organization to deliver insights and actionable intelligence. Rapid Crisis Response.

Data Governance 138

Data Governance Enterprise Modeling Metadata 138

AWS Big Data

AUGUST 13, 2024

With authorization policies, those domain unit users can set access policies for creating projects and glossaries, and using compute resources within Amazon DataZone. This strategic approach aligns data resources with business goals, fostering informed decision-making processes.

Data Governance 118

Data Governance Metadata Enterprise Sales 118

erwin

MAY 20, 2020

Discover the impact of potential glossary changes across the enterprise. To learn more about how erwin is helping customers address data governance as an emergency service, you can visit some of our recent coronavirus-specific resources: erwin Rapid Response Resource Center. Audit and score adherence to rules. Discover risks.

Data Governance 144

Data Governance Metadata Risk Strategy 144

AWS Big Data

OCTOBER 21, 2024

Business analysts enhance the data with business metadata/glossaries and publish the same as data assets or data products. She/he creates producer projects and enables access to data engineers, and business analysts. Data engineers ensure sales and customer data is available from the source into the Amazon DataZone project.

Sales 115

Sales Data-driven Data Processing Key Performance Indicator 115

erwin

NOVEMBER 6, 2020

We do this through an open, configurable and flexible metamodel across data catalog, business glossary, and self-service data discovery capabilities with built-in automation. The bottom line is you do not need to waste precious time, energy and resources to search, manage, analyze, prepare or protect data manually.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

Smart Data Collective

JULY 15, 2021

Human resources, for instance, may maintain a list of hotels employees can stay in while traveling for business. A data catalog will usually have a search tool, a separate data discovery tool, a glossary, and a metadata registry. Business glossaries explain terms connected to different data sets.

Metadata 133

Metadata IT Data-driven Data Quality 133

Octopai

DECEMBER 10, 2019

Well, scoot over Templeton, because it’s also going to be the year of the Automated Business Glossary for business intelligence and data governance teams everywhere. One of the best ways to solve this issue is to create a business glossary. What Goes into Building a Business Glossary?

Data Warehouse 69

Data Warehouse Metadata Reporting Business Intelligence 69

AWS Big Data

OCTOBER 4, 2023

Use business terms to search, share, and access cataloged data, making data accessible to all the configured users to learn more about data they want to use with the business glossary. Amazon DataZone domains bring along the capabilities of AWS Resource Access Manager (AWS RAM) to securely share resources across accounts.

Metadata 118

Metadata Data Lake Publishing Data Governance 118

Alation

MAY 24, 2022

Enhanced business glossary. A business glossary is critical to aligning an organization around the definition of business terms. Without an easily accessible glossary, people can easily misunderstand and therefore miscalculate important metrics, such as revenue or customers. Download the solution brief. Read the press release.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

Octopai

JULY 19, 2020

Differences Between a Business Glossary and a Data Dictionary. The difference between a data dictionary and a business glossary is distinct and important. On the other hand, a business glossary tool is an enterprise-wide resource that standardizes terms for the entire organization. Take Me to the Blog Post.

Data Warehouse 81

Data Warehouse Metadata Reporting Enterprise 81

Octopai

FEBRUARY 12, 2020

There’s a distinction between a data dictionary and a business glossary. A business glossary, sometimes referred to as a data glossary , is a broader tool. A business glossary should be understandable by anyone in the company. Have you heard about the wonders of an Automated Business Glossary? Download Now.

Metadata 72

Metadata Enterprise Management Data Warehouse 72

datapine

SEPTEMBER 29, 2022

Paired to this, it can also: Improved decision-making process: From customer relationship management, to supply chain management , to enterprise resource planning, the benefits of effective DQM can have a ripple impact on an organization’s performance.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Ontotext

JANUARY 21, 2021

The same is all too often achieved in glossaries that contain elements such as Crack Spread Future: “An entry in the crack spread futures table”. Terms in FIBO and Other Glossaries. The other glossaries were transformed into SKOS/RDF glossaries from publicly available web resources. Only FIBO is available in RDF.

Modeling 72

Modeling Finance Technology Publishing 72

Octopai

JANUARY 12, 2020

Streamlining this process could save months of wasted resources. They simply don’t have the time or resources to focus on this. Octopai is the perfect complementary solution for implementing Data Governance, data catalogs, data dictionaries business glossaries and more. Migrating from a Legacy to a Modern BI System?

Metadata 83

Metadata Management Data Governance Business Intelligence 83

erwin

MAY 22, 2025

Superior functionality Enjoy advanced metadata management, model and database comparisons, roundtrip engineering and deep integration with data catalogs and business glossaries. With comprehensive resources, expert support and a commitment to innovation, well ensure youre never left in the dark.

Modeling 52

Modeling Uncertainty Metadata Data Integration 52

Octopai

DECEMBER 22, 2019

Metadata is everywhere and its success depends on deploying the right resources for its management. An automated business glossary tool saves months of manual labor setting up business glossaries to make their data usable by all departments, maintaining accuracy and consistency.

Metadata 72

Metadata Management OLAP Data Governance 72

Octopai

DECEMBER 12, 2021

Otherwise, it becomes a liability, taking up space and resources. Business glossaries. A business glossary is an exhaustive list of all metadata terms used across the organization with definitions and how they relate to each other. Business glossaries are important for: reducing redundancies.

Metadata 98

Metadata Management Data Quality Data Governance 98

Octopai

JULY 9, 2020

With automated data lineage, thousands of endless fields of information can be processed immediately, thereby eliminating tedious busywork, streamlining the process, and saving months of wasted resources. Automated data lineage enables better resource allocation for some BI teams. Automated Data Lineage can fix that Learn How.

Insurance 98

Insurance Risk Management Machine Learning Metadata 98

Octopai

MARCH 24, 2020

Let’s start with automated tools that foster the seamless interaction of multiple metadata best practices, such as data discovery, data lineage and the use of a business glossary. A successful metadata management solution depends on the automation of three functions: a business glossary, data discovery, and data lineage.

Metadata 61

Metadata Cost-Benefit Business Intelligence Data Warehouse 61

erwin

JULY 17, 2019

It also provides a business glossary for the collaborative definition of enterprise data in business terms, complete with built-in accountability and workflows. Easily map data elements from source to target, including data in motion, and harmonize data integration across platforms.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

erwin

JULY 2, 2020

Examples of business capabilities would be finance, human resources, supply-chain, sales and marketing, and procurement. She said, “You can map the business understanding in your glossary back to your physical so you can see it both ways. We maintain business domain models in addition to the enterprise model.”. Roshan H.,

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

Alation

APRIL 26, 2021

This is where a data dictionary and business glossary become useful for getting both your business and IT teams on the same page. For complex projects, like data wrangling, modeling, or database design, a data dictionary is a helpful resource, especially to new hires. What is a business glossary? Business Glossary.

IT 52

IT Machine Learning Metrics Cost-Benefit 52

Peter James Thomas

AUGUST 2, 2019

Business Glossary (contributor: Tenny Thomas Soman ). Remember that The Dictionary is a free resource and quoting contents (ideally with acknowledgement) and linking to its entries (via the buttons provided) are both encouraged. Thanks to all of these for their help. Application Programming Interface (API). Chart (Graph). Optimisation.

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

Cloudera

SEPTEMBER 28, 2020

The customer had a few primary reasons for the upgrade: Utilize existing hardware resources and avoid the expensive resources, time and cost of adding new hardware for migrations. . Lineage and chain of custody, advanced data discovery and business glossary. Sentry to Ranger migration tools.

Testing 132

Testing Metadata Risk Data Science 132

AWS Big Data

JULY 29, 2024

Additionally, these enhancements grant administrators greater control over who can access and use the resources within their AWS accounts and Redshift clusters, and for what purpose. Select I acknowledge that AWS CloudFormation might create IAM resources , then choose Submit. If you don’t have an account, you can create one.

Data Warehouse 112

Data Warehouse Sales Metadata Publishing 112

erwin

FEBRUARY 19, 2021

A strong data management strategy and supporting technology enables the data quality the business requires, including data cataloging (integration of data sets from various sources), mapping, versioning, business rules and glossaries maintenance and metadata management (associations and lineage). Where did it come from? Where is it now?

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

Octopai

JULY 19, 2020

Differences Between a Business Glossary and a Data Dictionary. The difference between a data dictionary and a business glossary is distinct and important. On the other hand, a business glossary tool is an enterprise-wide resource that standardizes terms for the entire organization. Take Me to the Blog Post.

Data Warehouse 52

Data Warehouse Metadata Reporting Enterprise 52

AWS Big Data

AUGUST 5, 2024

Customers often face challenges in locating and accessing the fragmented data they need, expending time and resources in the process. Curate data product – The data publisher adds a readme, glossaries, and metadata forms to the data product. Choose Add terms under GLOSSARY TERMS.

Metadata 58

Metadata Sales Data Lake Publishing 58

erwin

JANUARY 23, 2025

Information is based on the best available resources. ” 2024 QKS Metadata Management Solutions Spark Matrix [ Read the Spark Matrix report where erwin by Quest is named as a Leader ] Bloor Group Data governance is more than just populating a standalone data catalog and business glossary.

Metadata 52

Metadata Data Quality Data Governance Software 52

erwin

FEBRUARY 4, 2021

As we zeroed in on the bottlenecks of day-to-day operations, 25 percent of respondents said length of project/delivery time was the most significant challenge, followed by data quality/accuracy is next at 24 percent, time to value at 16 percent, and reliance on developer and other technical resources at 13 percent.

Data Governance 89

Data Governance Metadata Data Quality IoT 89

Octopai

DECEMBER 30, 2019

A business glossary is an excellent way to establish common terms across the entire business. The company will have to dedicate significant resources to resolve the issue and will be unable to make forward-thinking decisions until it is resolved. Ensure company-wide consistency with terms. Are You CCPA Compliant Yet?

Reporting 75

Reporting Metadata Business Intelligence Management 75

Octopai

APRIL 5, 2020

The solution to such problems is automated BI intelligence – a comprehensive platform that includes automated data lineage, data discovery, and business glossary. Data preparation takes time and effort on limited time and resources. In addition, enterprise users can access the same centralized data from any location on the cloud.

Metadata 52

Metadata Data Quality Reporting Management 52

Octopai

SEPTEMBER 10, 2019

Let’s take “data dictionary” and “business glossary” for example. What is a Business Glossary? Business glossaries help define terminology across business units. A good business glossary is an important part of collaboration, particularly in larger businesses that span numerous departments. Not really. LEARN MORE.

Metadata 40

Metadata Data Governance Cost-Benefit Reporting 40

erwin

APRIL 4, 2019

Competing project and resources (time, people and funding). A business glossary answers this need, as does the ability for stakeholders to view data relevant to their roles and understand it within a business context through a role-based portal. Issues regarding data quality and ownership. Concerns about data lineage.

Data Governance 75

Data Governance Data Quality Risk Management Data-driven 75

AWS Big Data

NOVEMBER 16, 2023

In the following sections, we discuss the most common areas of consideration that are critical for Data Vault implementations at scale: data protection, performance and elasticity, analytical functionality, cost and resource management, availability, and scalability.

Enterprise 110

Enterprise Data Warehouse Snapshot Cost-Benefit 110

Octopai

FEBRUARY 22, 2021

Octopai saves time and resources during the process of migration from on-prem/legacy systems to Snowflake. Prior to migration, Octopai can also provide mapping of objects which are no longer necessary, reducing the time and cost of migration.

Metadata 52

Metadata Visualization Reporting Enterprise 52