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 54

Metadata Enterprise Management Data Warehouse 54

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

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 127

Metadata IT Data-driven Data Quality 127

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

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 43

Metadata Cost-Benefit Business Intelligence ROI 43

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 54

Metadata Management OLAP Data Governance 54

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

Alation

NOVEMBER 17, 2022

Organisations should be very clear about what benefits they expect from becoming data-driven, but also what the implications might be and what resources will be needed to implement change. First, what are your business objectives? But let’s start with the benefits, because they are manifold. Virgin Australia Group was in such a situation.

Data-driven 52

Data-driven Cost-Benefit Business Objectives Technology 52

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 86

Insurance Risk Management Machine Learning Metadata 86

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

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

Alation

FEBRUARY 28, 2023

They can even set their spreadsheets to auto-refresh on schedule, saving valuable time, money, and resources (and building trust across teams!). These data objects could include anything from business glossary terms, to a database table or a SQL query with helpful descriptions.

Contextual Data 52

Contextual Data Metadata Data-driven Visualization 52

CIO Business Intelligence

AUGUST 28, 2023

Agile project management tools, templates and resources There are also many templates available from companies like Microsoft that project managers can use rather than re-creating the wheel. The process starts again until all work or backlog is complete.

Management 98

Management Software Testing Risk 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

FEBRUARY 14, 2023

When implemented thoughtfully, data governance initiatives can save you time, money, and other resources, dramatically improving efficiencies across your organization. What % of glossary terms have been updated or approved in the past year? This begs the question: What makes data governance successful? Where do you start?

Data Governance 52

Data Governance ROI Metrics Cost-Benefit 52

AWS Big Data

APRIL 3, 2024

By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata. The service will take care of scheduling the job and automatically allocating the resources needed, enabling you to track the job run statuses throughout the process.

Data Quality 87

Data Quality Visualization Metadata Metrics 87

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 82

Enterprise Data Warehouse Snapshot Cost-Benefit 82

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 54

Reporting Metadata Business Intelligence Management 54

CDW Research Hub

JULY 19, 2019

The language of cybersecurity sounds like a glossary of terms for all-out warfare. This reduces the strain on your security team’s time and skills resources. Attack, defense, risk, threat. In many ways, that’s exactly what it is. Deception technology tells you the who, what, when and where of a breach.

Technology 56

Technology Machine Learning Measurement Interactive 56

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 130

Testing Metadata Risk Data Science 130

Alation

MAY 20, 2021

But with this release, we now support: Glossaries. API Resources. Furthermore, we’ve expanded the object types domains support. Prior to this release, we supported RDBMS, Articles, BI and Query. File Systems. NoSQL, and. This wider variety empowers admins to curate the best content for domains.

Enterprise 52

Enterprise Metadata Data Quality Machine Learning 52

Octopai

MAY 30, 2019

This type of BI is more important than ever in our data-driven culture, where distinctions between data management tools (like data dictionaries vs. business glossaries ) keep executives up at night. Few enterprises have the time or resources to tag and profile datasets by hand.

Metadata 40

Metadata Data Governance Data Lake IoT 40

Alation

MARCH 29, 2023

Alation has secured a Software Licensing Program (SLP) in California and a Department of Information Resources (DIR) in Texas. Alation has secured a Standard Licensing Program (SLP) in California and a Department of Information Resources (DIR) in Texas. What does this mean for public leaders in these regions? I’ll share some examples.

Data Strategy 52

Data Strategy Strategy Data Governance Sales 52

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 98

Metadata Data Lake Publishing Data Governance 98

Alation

OCTOBER 5, 2021

For organizations to succeed in monitoring, managing, and optimizing their data resources, they must always keep the importance of their data-driven initiatives at the top of all strategic planning agendas. Connect the KPIs to the relevant data resources to achieve the desired targets. Roadblock #2: Data problems and inconsistencies.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

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

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 Metrics Machine Learning Cost-Benefit 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

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 57

Metadata Management Data Governance Business Intelligence 57

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

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.

Metadata 56

Metadata Data Warehouse Reporting Enterprise 56

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 93

Metadata Management Data Quality Data Governance 93

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.

Metadata 52

Metadata Data Warehouse Reporting Enterprise 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 Risk Management 89

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

Alation

FEBRUARY 20, 2020

This generation of descriptions is significantly more scalable than the prior reliance on technical human resources to model and describe the data in advance. As a consequence, the catalog is a platform for human curation of business metadata – glossaries of shared terms, approved definitions of data, and policies for data usage.

Data Lake 52

Data Lake Metadata Structured Data Big Data 52

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