2020 Data Warehouse Embedded Analytics Innovation 
Sisense
JANUARY 1, 2020
Few worlds have a pace of innovation quite like data and analytics. We’ve collected the biggest posts of 2019 to give you a look at where the industry has been and where it’s going to give you the can’t-miss perspectives and how-to’s you need to start 2020 off strong. 5 Advantages of Using a Redshift Data Warehouse.
Sisense
JULY 8, 2020
Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. In recent years we’ve seen data become vastly more available to businesses. This has allowed companies to become more and more data driven in all areas of their business.
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Sisense
AUGUST 4, 2021
The Sisense Q2 2021 product release is packed with exciting innovations and enhancements that offer users a more extensible experience when it comes to analytics. Sisense Explanations deepens your understanding of your data. Dig deeper and explore additional dimensions of your analytics now with Sisense Explanations.
Sisense
DECEMBER 3, 2019
The rapid growth of data volumes has effectively outstripped our ability to process and analyze it. The first wave of digital transformations saw a dramatic decrease in data storage costs. On-demand compute resources and MPP cloud data warehouses emerged. Optimize raw data using materialized views.
Domo
JULY 28, 2022
With more than 2,000 issued patents for advances in technology, the cutting-edge, multi-national company builds core innovations in connectivity, modeling, and data analytics for customers in agriculture, construction, and transportation. A: It’s been good! Q: How is Domo Everywhere benefitting your customers?
Sisense
OCTOBER 14, 2020
You know data is growing quickly every day, but did you know that 90% of all existing data has been generated in the last two years alone, and it’s anticipated that the global datasphere will expand from about 44 zettabytes (ZB) in 2020 to 175 ZB by 2025 ? ” — Aditya Bansod, Co-Founder and CTO, Luma Health.
Sisense
MAY 11, 2021
The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!
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