ElegantJ BI

SEPTEMBER 6, 2019

Rather than preparing data at the central meta-data layer, and restricting what business users can do and see, these IT enabled (NOT IT controlled), self-serve data preparation and business intelligence tools and features put meaningful views of data in the hands of business users.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

ElegantJ BI

SEPTEMBER 6, 2019

Rather than preparing data at the central meta-data layer, and restricting what business users can do and see, these IT enabled (NOT IT controlled), self-serve data preparation and business intelligence tools and features put meaningful views of data in the hands of business users.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

ElegantJ BI

SEPTEMBER 6, 2019

IT enabled (NOT IT controlled), self-serve data preparation and business intelligence tools and features put meaningful views of data in the hands of business users. ’ 2017 has certainly proven this to be true, as businesses embrace the value of self-serve data preparation and analytics tools.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

Insight Software

AUGUST 28, 2023

Following success with Power ON, insightsoftware takes strategic evolution, growth, and product enhancements to the next level with software to extend visual planning and write-back solution capabilities to Qlik users RALEIGH, N.C. – Learn more at insightsoftware.com.

Supply Chain 75

Supply Chain Master Data Management Finance Data Quality 75

Astera

JANUARY 9, 2023

Salesforce announced its strategic partnership with Amazon Web Services in 2016. Moreover, you should have complete data visibility to carry out a meaningful analysis. Data Quality. Salesforce is not an exception, as modern enterprises are heavily investing in a multi-cloud architecture.

Data Quality 52

Data Quality Visualization Data Requirement Data Management 52

Astera

JUNE 12, 2024

Data Governance establishes framework, policies, and processes for managing data assets within an organization. Focus Flow of data Origin and history of data Management and control of data assets Purpose Ensure data quality, traceability, and compliance. How was the data created?

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Data Pine

AUGUST 29, 2022

It was lately revised and updated in January 2016. 8) Data Smart: Using Data Science to Transform Information into Insight, by John W. Best for: a somewhat technical reader who is good with Excel, but doesn’t know much about data science. Khan Analytic Philosophy: A Very Short Introduction by Michael Beaney.

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105