Smart Data Collective
NOVEMBER 11, 2020
The objective of this cheaper golf simulator cost was to help golf be more accessible to fans and also to help golfers improve their game through data all over the world. A study was held in 2016 that saw Big Data come into the scene. During the study, 225 terabytes of swing data were used to analyze over 13000 golf swings.
Smart Data Collective
MARCH 22, 2019
In 2016, household incomes rose enough for families to buy a home that was 1.5 times the median home price. Data is helping the industry provide better analysis and predictions. They will be even better at this in the future, as big data algorithms improve further. It will use geo-data to connect with customers.
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Domo
NOVEMBER 7, 2016
It’s only been a few weeks since Dreamforce 2016 took place in San Francisco, but it seems like so much has happened in just a few short weeks! It’s the perfect time to revisit some of the highlights from the event, especially Domo’s incredibly successful breakout sessions. Register for Domopalooza 2017.
Domo
APRIL 11, 2016
” With Domo, Stance can finally make critical business decisions based on real-time data—no more guesswork. Our unique business management platform transforms complex data into easy-to-understand visualizations that enable everyone to understand the story behind the numbers. .
Domo
MARCH 22, 2017
Business stakeholders are increasingly demanding information quicker or in “real time” and in a manner that is easily consumable, to enable them to optimise business outcomes. Demands for access to ‘real time’ data is being coupled with the increasing complexity within businesses.
GAVS Technology
JANUARY 7, 2021
Gartner defines AIOps as a combination of big data and machine learning functionalities that empower IT functions, enabling scalability and robustness of its entire ecosystem. These systems transform the existing landscape to analyze and correlate historical and real-time data to provide actionable intelligence in an automated fashion.
Tableau
JUNE 6, 2022
AmFam’s journey with Embedded Analytics began in 2016 upon realizing it lacked a way to deliver the data and analytics its agents needed reliably. 1 Timely, accurate, dynamic data that’s easy to use . Before AmFam had Embedded Analytics, real-time data and reports were not readily available to agents.
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