2021 Dashboards Data Warehouse Forecasting 
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. Infusion Apps, built using our Sisense Extense Framework , help you transcend your organization’s day-to-day reliance on dashboards. Learn more.
datapine
MARCH 31, 2022
billion by the end of 2021. Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5 This could involve anything from learning SQL to buying some textbooks on data warehouses.
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FineReport
JULY 22, 2021
Business Intelligence(BI) is defined as the concept of using modern data warehouse technology, online analysis and processing technology, data mining and data display technology for data analysis to achieve business value. Supply Chain Dashboard (by FineReport). What is business intelligence?.
Cloudera
OCTOBER 18, 2022
Clouderans continuously push for improvements in the system, with the goal of driving up confidence in the data. Trustworthy, reliable data means better questions, and more accurate and predictable outcomes. This brings data directly into the Data Warehouse , which is stored as Parquet into Hive/Impala tables on HDFS.
datapine
NOVEMBER 11, 2021
a) Data Connectors Features. c) Dashboard Features. For a few years now, Business Intelligence (BI) has helped companies to collect, analyze, monitor, and present their data in an efficient way to extract actionable insights that will ensure sustainable growth. c) Join Data Sources. 3) Dashboards.
CIO Business Intelligence
MAY 24, 2022
Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. IBM’s Global C-suite Study, 2021 agrees, saying there is strong evidence that data-driven organisations outperform their peers financially, on innovation and in driving cultural change.
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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