Octopai

MAY 13, 2020

Automated Lineage, Discovery and Business Glossary The BI & Analytics Trifecta that will help you visualize and understand your data Learn more. Octopai’s tools are easy-to-use, visual data landscapes designed to assist self-service BI. Octopai Decreases Training Time.

Metadata 52

Metadata Business Intelligence Visualization Insurance 52

erwin

FEBRUARY 28, 2024

There’s a multitude of capabilities that come to play in terms of evaluating metadata management tools, which would be more than we could cover here, but I will focus on two major areas: the business glossary and data lineage. It actually reverse engineers the ETL/ELT technical code sets and transforms and visualizes it on a logical level.

Metadata 52

Metadata Data Governance Data Quality Technology 52

Alation

FEBRUARY 20, 2020

New data visualization user interfaces from Tableau and Qlik proved that any business user can analyze their own data. By interacting with Tableau’s features to re-label data columns and build derived metrics, Tableau users were effectively documenting and modeling data on their own, often without realizing it.

Data Lake 52

Data Lake Metadata Structured Data Big Data 52

Alation

FEBRUARY 28, 2023

Most enterprises rely on Microsoft Office applications like Excel for visualization and analysis and Teams for collaboration; therefore, it is important to bring trusted data to users where they already are. 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

Alation

APRIL 5, 2022

A Cincinnati–based financial services company managing assets worth nearly half a billion dollars, Fifth Third launched “Bei Dati” (Italian for “beautiful data”), an execution plan for data management within a visual and fun format. A “Specialty” Pizza (Newly Created or Modified Data).

Data Governance 52

Data Governance Enterprise Data Quality Management 52

Octopai

OCTOBER 12, 2020

One easy way to maintain clear communication throughout a company is to establish an automated business glossary , which creates a common “language” for everyone in the company. In a nutshell, data mapping is streamlined in an easy-to-understand visual depiction of the data’s life cycle.

Metadata 52

Metadata Management Reporting Sales 52

Alation

AUGUST 26, 2021

Examples of governance features that leverage data intelligence include: A business glossary, with automated data classification, to align teams on key terms. Finally, data catalogs leverage behavioral metadata to glean insights into how humans interact with data. In this way, data governance supports trust and transparency.

Metadata 64

Metadata Data Governance Dashboards Software 64

AWS Big Data

NOVEMBER 16, 2023

Performance It is not uncommon for sub-second SLAs to be associated with data vault queries, particularly when interacting with the business vault and the data marts sitting atop the business vault. Users interact with this layer. Materialized or automatic materialized views are straightforward mechanisms to create those.

Enterprise 111

Enterprise Data Warehouse Snapshot Cost-Benefit 111

AWS Big Data

DECEMBER 11, 2024

Second, because data, code, and other development artifacts like machine learning (ML) models are stored within different services, it can be cumbersome for users to understand how they interact with each other and make changes. Data and AI governance Publish your data products to the catalog with glossaries and metadata forms.

Data Lake 126

Data Lake Data Warehouse Data-driven Big Data 126

Darkhorse

APRIL 7, 2025

The data is then made public through an interactive and responsive dashboard. It begins with a powerful visual: how care and our capacity to care for ourselves and others change over our lifetime. It begins with a powerful visual: how care and our capacity to care for ourselves and others change over our lifetime.

Visualization 52

Visualization Analytics Dashboards Interactive 52

BI-Survey

FEBRUARY 27, 2025

Figure 1: Enterprise Data Catalogs interact with AI in two ways These regulations require organizations to document and control both traditional and generative AI models, whether they build them or incorporate them into their own applications, thus driving demand for data catalogs that support compliance. Does it provide basic (i.e.,

Unstructured Data 52

Unstructured Data Metadata Data Quality Data Governance 52