Timo Elliott
JANUARY 22, 2019
2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s.
Sisense
JUNE 6, 2019
Our goal is to deliver a platform that empowers data, product, and business teams to drive the digital transformation within their organizations, reducing both the time and effort needed for this entire workflow. Our merger with Periscope Data sets us on a new trajectory to build this unified platform.
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Tableau
NOVEMBER 17, 2021
The Data Culture playbook can help you: Align leadership metrics to business priorities. Build data sources to address critical decision points. Promote widespread data discovery. According to data from the Freelancers Union and Upwork , about 35% of American workers freelanced in some capacity in 2019.
Tableau
NOVEMBER 17, 2021
The Data Culture playbook can help you: Align leadership metrics to business priorities. Build data sources to address critical decision points. Promote widespread data discovery. According to data from the Freelancers Union and Upwork , about 35% of American workers freelanced in some capacity in 2019.
Data Pine
NOVEMBER 19, 2019
No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. While we’ve seen traces of this in 2019, it’s in 2020 that computer vision will make a significant mark in both the consumer and business world. Connected Retail.
Sisense
DECEMBER 11, 2019
Periscope Data provides the ideal platform for data teams to establish an effective analytics environment in the type of emerging companies that are so prevalent in Israel. It’s why Sisense, having merged with Periscope Data in May 2019, chose to host this event in Tel Aviv. What VCs want from startups.
Insight Software
JULY 12, 2023
Editors note: This blog was originally published in October 2013, and has been completely revamped and updated for accuracy, relevancy, and comprehensiveness in September 2019 Prior to the 17th century, data visualization existed mainly in the realm of maps, displaying land markers, cities, roads, and resources.
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