Astera

JANUARY 12, 2024

A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization. Enterprises should evaluate their requirements to select the right data warehouse framework and gain a competitive advantage.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Tableau

MAY 11, 2022

At their most basic level, data fabrics leverage artificial intelligence and machine learning to unify and securely manage disparate data sources without migrating them to a centralized location. Data fabric governance assumes a federated environment, so they scale by connecting to new data sources as they emerge.

Data Warehouse 95

Data Warehouse Government Artificial Intelligence Data Discovery 95

Tableau

MAY 11, 2022

At their most basic level, data fabrics leverage artificial intelligence and machine learning to unify and securely manage disparate data sources without migrating them to a centralized location. Data fabric governance assumes a federated environment, so they scale by connecting to new data sources as they emerge.

Data Warehouse 93

Data Warehouse Government Artificial Intelligence Data Discovery 93

ElegantJ BI

NOVEMBER 16, 2016

If the value of the data, analysis and decision support is not persuasive, your business users will not adopt these business intelligence tools. By providing a full suite of features with sophisticated functionality, and a true self-serve environment, the organization can encourage and support data democratization.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

NOVEMBER 16, 2016

If the value of the data, analysis and decision support is not persuasive, your business users will not adopt these business intelligence tools. By providing a full suite of features with sophisticated functionality, and a true self-serve environment, the organization can encourage and support data democratization.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

NOVEMBER 16, 2016

If the value of the data, analysis and decision support is not persuasive, your business users will not adopt these business intelligence tools. Data Access. By providing a full suite of features with sophisticated functionality, and a true self-serve environment, the organization can encourage and support data democratization.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

DECEMBER 5, 2016

Factors like poor User Adoption, Data Access, Features and Benefits, Self-Serve Analytical Capability, Data Sharing and Reporting, Cost vs. Benefit, and Data Discovery issues must be considered in order to ensure the success of your self-serve business intelligence initiative.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Data Governance 130

ElegantJ BI

DECEMBER 5, 2016

Factors like poor User Adoption, Data Access, Features and Benefits, Self-Serve Analytical Capability, Data Sharing and Reporting, Cost vs. Benefit, and Data Discovery issues must be considered in order to ensure the success of your self-serve business intelligence initiative.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Data Governance 130

ElegantJ BI

DECEMBER 5, 2016

Factors like poor User Adoption, Data Access, Features and Benefits, Self-Serve Analytical Capability, Data Sharing and Reporting, Cost vs. Benefit, and Data Discovery issues must be considered in order to ensure the success of your self-serve business intelligence initiative. Data Source and Data Structural Review.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Data Governance 130

Insight Software

OCTOBER 11, 2023

Maintaining robust data governance and security standards within the embedded analytics solution is vital, particularly in organizations with varying data governance policies across varied applications. Join disparate data sources to clean and apply structure to your data.

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

GAVS Technology

JUNE 2, 2021

Data fabric aims to simplify the management of enterprise data sources and the ability to extract insights from them. While focus on API management helps with data sharing, this functionality has to be enhanced further as data sharing also needs to take care of privacy and other data governance needs.

Healthcare 52

Healthcare Data Governance Government Data Mining 52

Insight Software

OCTOBER 24, 2022

As cloud computing has advanced in popularity, data discovery applications have evolved rapidly to handle very large datasets, offering graphically rich displays such as heat maps, pie charts, and geographical maps alongside pivot tables for multi-dimensional analysis. Download Now. The Better Approach: Embedded Analytics.

IBM Support 52

IBM Support IBM Maintenance Embedded Analytics IBM Expert 52