2018 2020 Embedded Analytics 
Sisense
JUNE 9, 2021
Let’s look at a heat map of Robert Lewandowski’s play for FC Bayern Munich in its imperious 2019/2020 Bundesliga and Champions League winning season. Heat Map: Robert Lewandowski, Bayern Munich, 2019/2020 season. This data allows them to identify, change, and test the effectiveness of typical passages of play.
Data Pine
NOVEMBER 27, 2019
Suddenly advanced analytics wasn’t just for the analysts. The trends we presented last year will continue to play out through 2020. In 2020, BI tools and strategies will become increasingly customized. Read on to see our top 10 business intelligence trends for 2020! We are excited to see what this new year will bring.
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ElegantJ BI
JANUARY 24, 2019
In its report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’, published on October 31, 2018, Gartner provided the following strategic planning assumption: ‘By 2020, augmented analytics will be a dominant driver of new purchases of analytics and BI as well as data science and machine learning platforms, and of embedded analytics.’
ElegantJ BI
MARCH 19, 2019
The Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics, published on October 31, 2018, includes the following strategic assumptions: By 2020, augmented analytics will be a dominant driver of new purchases of analytics and BI as well as data science and machine learning platforms, and of embedded analytics.
ElegantJ BI
JANUARY 24, 2019
In its report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’, published on October 31, 2018, Gartner provided the following strategic planning assumption: ‘By 2020, augmented analytics will be a dominant driver of new purchases of analytics and BI as well as data science and machine learning platforms, and of embedded analytics.’
ElegantJ BI
MARCH 19, 2019
The Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics, published on October 31, 2018, includes the following strategic assumptions: By 2020, augmented analytics will be a dominant driver of new purchases of analytics and BI as well as data science and machine learning platforms, and of embedded analytics.
ElegantJ BI
JANUARY 24, 2019
Machine learning takes the heavy lifting away from business users and allows them to leverage their core business knowledge and skills to engage in predictive analytics, while allowing the flexibility and sophistication of machine learning to offer the guided assistance of a ‘smart’ solution.
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