Smart Data Collective

NOVEMBER 25, 2019

New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. New Avenues of Data Discovery. These new avenues of data discovery will give business intelligence analysts more data sources than ever before.

Business Intelligence 256

Business Intelligence Business Intelligence Predictive Analytics Data Discovery 256

ElegantJ BI

NOVEMBER 8, 2022

It is also suitable for those that wish to find out more about the Citizen Data Scientist approach to Data Literacy and fact-based decision-making. It provides an individual study environment that includes video, slides, lectures and supporting documentation for further study and reference.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Predictive Analytics 130

ElegantJ BI

NOVEMBER 8, 2022

It is also suitable for those that wish to find out more about the Citizen Data Scientist approach to Data Literacy and fact-based decision-making. It provides an individual study environment that includes video, slides, lectures and supporting documentation for further study and reference.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Predictive Analytics 130

ElegantJ BI

NOVEMBER 8, 2022

It is also suitable for those that wish to find out more about the Citizen Data Scientist approach to Data Literacy and fact-based decision-making. It provides an individual study environment that includes video, slides, lectures and supporting documentation for further study and reference. About Smarten.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Predictive Analytics 130

Smart Data Collective

MARCH 28, 2022

Diagnostic data analytics: It analyses the data from the past to identify the cause of an event by using techniques like data mining, data discovery, and drill down. Descriptive data analytics: It is the foundation of reporting, addressing questions like “how many”, “where”, “when”, and “what”.

Data Analytics 214

Data Analytics Data Analytics Big Data Data Mining 214

The BAWorld

APRIL 23, 2024

Life Cycle Phases of Data Analytics This tutorial discusses the data analytics lifecycle phases that are essential to each data analytics process and how to implement them. As a result, they are more likely to remain present throughout the lifecycle of most data analytics projects.

Data Analytics 52

Data Analytics Data Analytics Big Data Data Mining 52

Astera

FEBRUARY 28, 2024

Data Governance and Documentation Establishing and enforcing rules, policies, and standards for your data warehouse is the backbone of effective data governance and documentation. Metadata describes the structure, meaning, origin, and data usage.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

MAY 8, 2024

Here’s a list of individuals or teams responsible for creating a business glossary: Business Analysts: Collaborate with stakeholders to identify business needs, document processes, and define key terms in the glossary.

Data Governance 52

Data Governance Government Healthcare Retail 52

Astera

MARCH 28, 2024

While a data catalog serves as a centralized inventory of metadata, a data dictionary focuses on defining data elements and attributes, describing their meaning, format, and usage. The former offers a comprehensive view of an organization’s data assets.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

APRIL 24, 2024

It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards. The framework, therefore, provides detailed documentation about the organization’s data architecture, which is necessary to govern its data assets.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Astera

APRIL 4, 2024

Data governance ensures data integrity, accuracy, and security within organizational systems. In contrast, information governance ensures that all information assets, including documents, records, and intellectual property, are managed effectively throughout their lifecycle.

Data Governance 52

Data Governance Government E-Commerce Data Quality 52

Astera

MAY 14, 2024

Process metadata: tracks data handling steps. It ensures data quality and reproducibility by documenting how the data was derived and transformed, including its origin. Examples include actions (such as data cleaning steps), tools used, tests performed, and lineage (data source).

Government 52

Government Data Governance Master Data Management Documentation 52

Astera

FEBRUARY 27, 2024

Data Governance and Documentation Establishing and enforcing rules, policies, and standards for your data warehouse is the backbone of effective data governance and documentation. This not only aids user comprehension of data but also facilitates seamless data discovery, access, and analysis.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

Data Governance and Documentation Establishing and enforcing rules, policies, and standards for your data warehouse is the backbone of effective data governance and documentation. This not only aids user comprehension of data but also facilitates seamless data discovery, access, and analysis.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

BizAcuity

SEPTEMBER 16, 2019

Agile, centralized BI provisioning: Supports an agile IT-enabled workflow, from data to centrally delivered and managed analytic content, using the platform’s self-contained data management capabilities. The tool is simple and easy to use.

Visualization 174

Visualization Data Visualization Business Intelligence Business Intelligence 174

BizAcuity

NOVEMBER 8, 2019

Agile, centralized BI provisioning: Supports an agile IT-enabled workflow, from data to centrally delivered and managed analytic content, using the platform’s self-contained data management capabilities. The tool is simple and easy to use.

Visualization 154

Visualization Data Visualization Business Intelligence Business Intelligence 154

GAVS Technology

JUNE 2, 2021

In the recently announced Technology Trends in Data Management, Gartner has introduced the concept of “Data Fabric”. Here is the link to the document, Top Trends in Data and Analytics for 2021: Data Fabric Is the Foundation (gartner.com). Srinivasan Sundararajan.

Healthcare 52

Healthcare Data Governance Government Data Mining 52

BizAcuity

NOVEMBER 8, 2019

Agile, centralized BI provisioning: Supports an agile IT-enabled workflow, from data to centrally delivered and managed analytic content, using the platform’s self-contained data management capabilities. The tool is simple and easy to use.

Visualization 100

Visualization Data Visualization Business Intelligence Business Intelligence 100

BizAcuity

NOVEMBER 8, 2019

Agile, centralized BI provisioning: Supports an agile IT-enabled workflow, from data to centrally delivered and managed analytic content, using the platform’s self-contained data management capabilities. The tool is simple and easy to use.

Visualization 100

Visualization Data Visualization Business Intelligence Business Intelligence 100

Astera

MARCH 20, 2024

Metadata Management Data is valuable, but understanding what that data means is invaluable for organizations. Functioning as a data dictionary, metadata management defines the structure and meaning of your data assets. It also facilitates effective data discovery and knowledge sharing within the organization.

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

Data Pine

DECEMBER 11, 2019

SaaS is less robust and less secure than on-premises applications: Despite some SaaS-based teething problems or technical issues reported by the likes of Google, these occurrences are incredibly rare with software as a service applications – and there hasn’t been one major compromise of a SaaS operation documented to date.

Artificial Intelligence 125

Artificial Intelligence Innovation Digital Business Intelligence 125

Juice Analytics

MAY 6, 2021

While it gets less press than its competitors Tableau and PowerBI, Qlik understands the need to reach broader audiences in the enterprise through data storytelling. In their words : The purpose of data storytelling is to turn data discoveries into a story. The data is one of many media elements that tell the story.

Visualization 77

Visualization Data Visualization Business Intelligence Business Intelligence 77

ElegantJ BI

JANUARY 22, 2017

Content Management Systems (CMS) and online meeting software furthered collaboration and sharing and helped business users to come together to review and edit documents and work on projects. In the old days, team members and employees shared and discussed information at the water cooler or in the cafeteria.

Business Intelligence 100

Business Intelligence Business Intelligence Data Quality Data Discovery 100

ElegantJ BI

JANUARY 22, 2017

Content Management Systems (CMS) and online meeting software furthered collaboration and sharing and helped business users to come together to review and edit documents and work on projects. In the old days, team members and employees shared and discussed information at the water cooler or in the cafeteria.

Business Intelligence 100

Business Intelligence Business Intelligence Data Quality Data Discovery 100

ElegantJ BI

JANUARY 22, 2017

Content Management Systems (CMS) and online meeting software furthered collaboration and sharing and helped business users to come together to review and edit documents and work on projects. In the old days, team members and employees shared and discussed information at the water cooler or in the cafeteria.

Business Intelligence 100

Business Intelligence Business Intelligence Data Quality Data Discovery 100

Data Pine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 2) Data Discovery/Visualization.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Domo

AUGUST 23, 2022

Dickies’ culture has always had an incredible thirst for data insights, but the environment that hosted that data grew severely tangled over the years. Q: What were some of the use cases for your data that you were considering as you began looking for a BI solution? That’s been the magic of Domo for us.

E-Commerce 98

E-Commerce Digital Transformation Digital Data Discovery 98

Insight Software

MAY 1, 2023

New data discovery solutions now offer business analysts something better than Microsoft Excel—with minimal dependency on IT resources. Tradition BI has been a popular way for large businesses to launch their data analytics. Data Discovery Applications Data discovery is the capability to uncover insights from information.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

MARCH 14, 2024

With Jet’s extensive capabilities for data validation, enrichment, and cleansing, it ensures that the data used for analysis is accurate and dependable. Data Discovery and Semantic Layer By facilitating effective data discovery and the development of a semantic layer, Jet gives Fabric users more control.

IBM Maintenance 52

IBM Maintenance IBM Support Data Discovery Supply Chain 52

Insight Software

JANUARY 19, 2024

Organizations can better monetize data resources while empowering users to make more informed decisions, with highly customizable managed dashboards, reports, and visual data discovery content available directly within applications.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance User Experience 52