datapine

MAY 14, 2019

By acquiring a deep working understanding of data science and its many business intelligence branches, you stand to gain an all-important competitive edge that will help to position your business as a leader in its field. In 2013, less than 0.5% Why You Need To Read Data Science Books. click for book source**.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

Howard Dresner

JANUARY 20, 2014

Instead, let’s kick start the year with some definite plans and aspirations of companies in the business intelligence sphere. He is one of the foremost thought leaders in Business Intelligence and Performance Management, having coined the term “Business Intelligence” in 1989. Definitely, they responded.

Business Intelligence 56

Business Intelligence Software Data Processing Marketing 56

FineReport

JULY 18, 2022

Recently, FanRuan has been recognized with Honorable Mention in the 2022 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms released by the well-known IT research and consulting firm Gartner! This is the second time FanRuan has won this honor after being mentioned by Gartner in 2021. The updated 5.1

Business Intelligence 52

Business Intelligence Marketing Enterprise Manufacturing 52

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 97

Data Warehouse Data Lake Analytics Machine Learning 97

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Howard Dresner

DECEMBER 14, 2013

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Business Intelligence 50

Business Intelligence Sales Data Processing Consulting 50

Sisense

DECEMBER 11, 2019

Scott whisked us through the history of business intelligence from its first definition in 1958 to the current rise of Big Data. A platform like Periscope Data is what makes this happen, by elevating data’s prominence and the role of data teams beyond merely a source of visual-based data discovery.

Data Lake 80

Data Lake Big Data Sales Data-driven 80