Data Visualization Embedded Analytics Product Management 
Sisense
JULY 13, 2021
One of the most powerful ways for your organization to get a competitive edge is to embed analytics, because it enables you to go beyond improving internal efficiencies with data. Transformational, data-driven applications. Embedded analytics are often the centerpiece of such applications and services, and.
Tableau
MARCH 29, 2023
Sharon Liao Senior Product Manager, Tableau Bronwen Boyd March 30, 2023 - 5:29am April 4, 2023 As companies increasingly rely on data analytics to make informed decisions and gain a competitive edge, the challenge of presenting relevant and secure data to end users has become even more critical.
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Sisense
JANUARY 6, 2021
The provider’s analytics platform plugs into your data source, crunches your numbers, and then generates reports and dashboard data visualizations. The right platform will give you total control over the widgets in your data visualizations, ideally in a user-friendly UI editor (like in Sisense’s Embedded Playground ).
Tableau
MARCH 29, 2023
Sharon Liao Senior Product Manager, Tableau Bronwen Boyd March 30, 2023 - 5:29am April 4, 2023 As companies increasingly rely on data analytics to make informed decisions and gain a competitive edge, the challenge of presenting relevant and secure data to end users has become even more critical.
Insight Software
FEBRUARY 14, 2023
. – February 15, 2023 – insightsoftware , a global provider of reporting, analytics, and performance management solutions, today announced it has been named a winner for Embedded Business Intelligence (BI) in the 2022 Technology Innovation Awards by Dresner Advisory Services.
Sisense
AUGUST 14, 2020
Certain proven methods and use cases are invaluable in helping product teams understand how to implement AI in apps to reproduce and enhance existing successes. The potential uses of app behavior and visitor activity data stores are bounded only by the ingenuity of the data engineer.
Sisense
OCTOBER 11, 2021
But generations of technological innovation (better data visualizations, cloud analytics, and self-service tools) plus the rise of analytics-focused cultures in workplaces have failed to deliver on the many promises analytics hold; analytics adoption among in-house workforces remains stalled at around 30%.
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