Remove 2017 Remove 2018 Remove Data Modelling
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AI in Analytics: The NLQ Use Case

Sisense

Last, and still a very painful challenge for most users, is the familiarity with the underlying data and data model. Once both issues are addressed, the user can ask “how many customers are responsible for 80% of my Q1 2018 income compared to 2017?” Machine Intent vs. User Intent.

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Billie Inspires Customer Trust with Tool to Improve Dashboard Reliability

Sisense

VP of Business Intelligence Michael Hartmann describes the problem: “When an upstream data model change was introduced, it took a few days for us to notice that one of our Sisense charts was ‘broken.’ He co-founded Billie with a group of colleagues in 2017 and now leads the BI team. joining the BI team at Billie in 2018.

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Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau

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.

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Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau

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.

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Analyzing the history of Tableau innovation

Tableau

April 2018), which focused on users who do understand joins and curating federated data sources. May 2020) shifted sheets to a multiple-table data model, where the sheet’s fields allow the computer to write much more efficient queries to the data sources. Another key data computation moment was Hyper in v10.5 (Jan

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Analyzing the history of Tableau innovation

Tableau

April 2018), which focused on users who do understand joins and curating federated data sources. May 2020) shifted sheets to a multiple-table data model, where the sheet’s fields allow the computer to write much more efficient queries to the data sources. Another key data computation moment was Hyper in v10.5 (Jan