Blog Embedded Analytics Predictive Analytics Visualization 
Sisense
OCTOBER 29, 2021
While even the most advanced analytics systems can’t tell you everything to expect in the months to come, we’ve once again rounded up some of the stories in the news we think you should be aware of to see what’s new in the world of embedded analytics and how you could be doing more with your data. Learn more.
ElegantJ BI
JANUARY 19, 2021
The reason for this analytics evolution is simple. The right Self-Serve Advanced Data Discovery and predictive modeling solution is easy to implement, easy to personalize and easy to use. Every business is operating in a rapidly changing competitive environment and market.
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ElegantJ BI
JANUARY 19, 2021
The reason for this analytics evolution is simple. The right Self-Serve Advanced Data Discovery and predictive modeling solution is easy to implement, easy to personalize and easy to use. Every business is operating in a rapidly changing competitive environment and market.
Sisense
AUGUST 14, 2020
The SOINN method converts binary files to visual representations and in doing so has achieved over 94% accuracy in detecting files infected with viruses! By using a visual representation of code, the virus code can be detected without running the code and endangering the test system. Predictive analytics AI boosts web app performance.
Data Pine
APRIL 13, 2021
By using online data visualization tools such as interactive dashboards you can tell a story with your data and extract advanced insights to support your work when presenting it to clients. Integrate agency reports into your service: Many modern reporting tools include embedding features in their services.
Data Pine
FEBRUARY 17, 2023
2) What Is Embedded BI? 3) The Link Between White Label BI & Embedded Analytics 4) An Embedded BI Workflow Example 5) White Labeled Embedded BI Examples In the modern world of business, data holds the key to success. Enter embedded analytics and white label business intelligence.
Sisense
NOVEMBER 30, 2020
Applications of all kinds now face increasing pressure to offer analytics and stats to users on both sides of the fence: Subscribers and members want to see their personal analytics dashboards ; business teams want to see data on those members as well as app performance. Every company is becoming a data company.
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