Smart Data Collective

JULY 22, 2019

Microsoft Power BI transforms data into visuals, lets you explore and analyze any data easily, as well as share it with your colleagues. Built-in governance and security allow users to scale the service across practically any organizations. It can analyze practically any size of data. per month per one user.

Business Intelligence 259

Business Intelligence Business Intelligence Visualization Real-time Data 259

Astera

FEBRUARY 28, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 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 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

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 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

MARCH 28, 2024

So, organizations create a data governance strategy for managing their data, and an important part of this strategy is building a data catalog. They enable organizations to efficiently manage data by facilitating discovery, lineage tracking, and governance enforcement.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

SEPTEMBER 4, 2024

This feature automates communication and insight-sharing so your teams can use, interpret, and analyze other domain-specific data sets with minimal technical expertise. Shared data governance is crucial to ensuring data quality, security, and compliance without compromising on the flexibility afforded to your teams by the data mesh approach.

Data Architecture 52

Data Architecture Data Governance Government Data Discovery 52

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? This data, often referred to as big data, holds valuable insights that you can leverage to gain a competitive edge.

Data Management 52

Data Management Master Data Management Government Data Quality 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

Astera

MAY 14, 2024

Metadata management Before proceeding, it’s essential to clarify that while both master data management (MDM) and metadata management are crucial components of data management and governance, they are two unique concepts and, therefore, not interchangeable. Data is only valuable if it is reliable.

Government 52

Government Data Governance Master Data Management Documentation 52

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

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

Insight Software

MAY 1, 2023

Content creators want a managed experience where they can query governed data sources, create dashboards and reports, and share what they’ve created with colleagues. Data analysts need a self-directed experience. They start with a blank canvas and connect to their own data sources.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

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 User Experience 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

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