ElegantJ BI

SEPTEMBER 15, 2017

Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. Requirements Planning for Data Analytics Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. Requirements Planning for Data Analytics. Data Governance and Self-Serve Analytics Go Hand in Hand. Don’t make assumptions.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

Astera

MAY 14, 2024

Metadata management is elemental in providing this context to data and is the cornerstone for effective data governance and intelligent data management, ensuring your data is reliable and authentic. Governance: Establishing metadata governance processes to ensure metadata integrity, security, and compliance.

Government 52

Government Data Governance Master Data Management Documentation 52

ElegantJ BI

NOVEMBER 16, 2016

Features and Benefits When your enterprise considers self-serve BI tools, it must look carefully at the features and benefits of these tools and compare them to the requirements and needs of the IT organization (for data governance and data watermarking, as appropriate), and for users at all levels including executives, analysts and business users.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

NOVEMBER 16, 2016

Features and Benefits When your enterprise considers self-serve BI tools, it must look carefully at the features and benefits of these tools and compare them to the requirements and needs of the IT organization (for data governance and data watermarking, as appropriate), and for users at all levels including executives, analysts and business users.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

NOVEMBER 16, 2016

When your enterprise considers self-serve BI tools, it must look carefully at the features and benefits of these tools and compare them to the requirements and needs of the IT organization (for data governance and data watermarking, as appropriate), and for users at all levels including executives, analysts and business users.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

Data Pine

MARCH 25, 2019

In our data-rich age, understanding how to analyze and extract true meaning from the digital insights available to our business is one of the primary drivers of success. Despite the colossal volume of data we create every day, a mere 0.5% is actually analyzed and used for data discovery , improvement, and intelligence.

Big Data 87

Big Data Visualization Data Visualization Data Analytics 87

Insight Software

OCTOBER 24, 2022

Analytics and data visualizations have the power to elevate a software product, making it a powerful tool that helps each user fulfill their mission more effectively. Although data discovery applications have their place, they’re not designed to seamlessly integrate with an existing application’s workflows.

IBM Support 52

IBM Support IBM Maintenance Embedded Analytics IBM Expert 52

Data Pine

DECEMBER 11, 2019

This means that your business’s data is available and secure regardless of a data breach or system failure. Improved data governance: Vertical SaaS is positioned to address data governance procedures via the inclusion of industry-specific compliance capabilities, which has the additional benefit of providing increased transparency.

Artificial Intelligence 125

Artificial Intelligence Innovation Digital Business Intelligence 125