Alation

FEBRUARY 13, 2020

A broader definition of Business Intelligence. In their Wisdom of Crowds® Data Catalog Market Study, Dresner assessed data catalog solutions from the perspective of business intelligence (BI). Howard Dresner coined the term “Business Intelligence” in 1989.

Business Intelligence 52

Business Intelligence Machine Learning Marketing Metadata 52

Octopai

JANUARY 31, 2021

The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. We have had the pleasure of partnering with him for webinars and he always brings a new perspective and interesting insights. Agile Data.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

BI-Survey

JUNE 7, 2020

For example, you can provide a more precise definition of what you offer as well as additional metadata such as the countries/regions where you offer your services, screenshots of your products and success stories for consultancies. Within the questionnaire, you will find a form to add and promote your webinars and success stories.

Consulting 85

Consulting Visualization Marketing Dashboards 85

Rita Sallam

JULY 22, 2016

By contrast, traditional BI platforms are designed to support modular development of IT-produced analytic content, specialized tools and skills, and significant upfront data modeling, coupled with a predefined metadata layer, is required to access their analytic capabilities. You can see it On Demand here. Moving to Modern.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

TDAN

MAY 14, 2019

This question comes up often when I am speaking with clients or groups of people during my Data Governance webinars and conference presentations. To own data or not to own data, that is the question. To the disgust of some (there are some that choke every time the term “data owner” is used) using the […].

Data Governance 51

Data Governance Data Quality Metadata Data Strategy 51

BI-Survey

JUNE 7, 2020

For example, you can provide a more precise definition of what you offer as well as additional metadata such as the countries/regions where you offer your services, screenshots of your products and success stories for consultancies. Within the questionnaire, you will find a form to add and promote your webinars and success stories.

Consulting 40

Consulting Visualization Marketing Dashboards 40

Cloudera

FEBRUARY 8, 2024

Materialized views are valuable for accelerating common classes of business intelligence (BI) queries that consist of joins, group-bys and aggregate functions. The snapshotId of the source tables involved in the materialized view are also maintained in the metadata. Furthermore, it is partitioned on the d_year column.

Snapshot 87

Snapshot Metadata Cost-Benefit Data Warehouse 87

Cloudera

AUGUST 30, 2022

Data Lakehouse: Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support artificial intelligence, business intelligence, machine learning, and data engineering use cases on a single platform. Forrester ).

Data Architecture 75

Data Architecture Data Lake Metadata Data Warehouse 75

DataKitchen

OCTOBER 11, 2021

Monitoring Job Metadata. Figure 7 shows how the DataKitchen DataOps Platform helps to keep track of all the instances of a job being submitted and its metadata. Figure 7: the DataKitchen DataOps Platform keeps track of all the instances of a job being submitted and its metadata. About the Author. Priyanjna Sharma.

Testing 157

Testing Metadata Dashboards Statistics 157

erwin

MAY 27, 2020

What, then, should users look for in a data modeling product to support their governance/intelligence requirements in the data-driven enterprise? Provide metadata and schema visualization regardless of where data is stored. Have a process and mechanism to capture, document and integrate business and semantic metadata for data sources.

Modeling 98

Modeling Metadata Data Governance Visualization 98

Octopai

AUGUST 19, 2020

Businesses across the globe have been forced to adapt their business models, technologies, and strategies to address the ongoing challenges of the COVID-19 pandemic. Business intelligence (BI) is no exception. This ensures that business can continue as usual – even during a pandemic.

Metadata 98

Metadata Digital Transformation Management Business Intelligence 98

Alation

MARCH 29, 2021

How metadata accelerates search & discovery. It’s also a repository of metadata — or data about data — on information sources from across the enterprise, including data sets, business intelligence reports, and visualizations. Provide intelligence around data Search and context go hand-in hand. Conclusion.

Metadata 59

Metadata Data-driven Enterprise Machine Learning 59

Octopai

NOVEMBER 23, 2020

Data lineage is crucial to every data user, but even more so in the Financial industry Find out why in our latest webinar, "The Essential Guide to Data Lineage in 2021" Watch It Now. The problem is that many companies are unequipped to do so with their current enterprise metadata management systems.

Metadata 54

Metadata Enterprise Business Intelligence Data Governance 54

Octopai

JULY 12, 2020

GIGO may be an old refrain, but it likely gave rise to the concept of what we know as ‘business intelligence’. Hear from FCSA How Automated Data Lineage and Discovery Accelerated Their Impact Analysis Research One Day instead of One Hundred Watch the Webinar. “ Garbage in, garbage out.”

Data Warehouse 58

Data Warehouse Data Quality Metadata Risk Management 58

Rocket-Powered Data Science

SEPTEMBER 20, 2021

They realized that the search results would probably not provide an answer to my question, but the results would simply list websites that included my words on the page or in the metadata tags: “Texas”, “Cows”, “How”, etc. Register to attend and view the webinar at [link]. That’s data insights for everyone.

Data Science 285

Data Science Forecasting Business Intelligence Sales 285

Jet Global

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., CRM, ERP, EHR/EMR) or portals (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52