2017 Agile Data Modelling 
ElegantJ BI
JANUARY 3, 2019
These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions.
ElegantJ BI
JANUARY 3, 2019
These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions.
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ElegantJ BI
JANUARY 3, 2019
These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions.
Tableau
JANUARY 27, 2021
In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new data modeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. We continue to make Tableau more powerful, yet easier to use.
EBG Consulting
FEBRUARY 4, 2019
This includes data needed by actions and which is sent and received via product interfaces. data entities such as Customer, Payment, or Property). Better still, visually communicate the Data dimension with a conceptual data model. Supplement the text with visual models (e.g., New York: Hachette Books, 2017.
Tableau
JANUARY 27, 2021
In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new data modeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. We continue to make Tableau more powerful, yet easier to use.
Domo
FEBRUARY 6, 2017
With self-service BI, business users are able to filter, segment, and analyze their data like never before, without the in-depth technical knowledge that most analytical systems have required in the past. But as technology changes and user needs evolve, it begs the question: What exactly is self-service BI in 2017?
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