Simon Späti
JUNE 14, 2020
I hear claims: “Business Intelligence (BI) takes too long to integrate new data”, or “understanding how the numbers match up is very hard and needs lots of analysis”. The goal of this article is to make business intelligence easier, faster and more accessible with techniques from the sphere of data engineering.
Data Engineering Podcast
APRIL 16, 2023
Summary Business intellingence has been chasing the promise of self-serve data for decades. As the capabilities of these systems has improved and become more accessible, the target of what self-serve means changes. Business intelligence is a crowded market. Business intelligence is a crowded market.
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Maxime Beauchemin
MARCH 8, 2021
Secondarily, we had a limited number of licenses for Tableau, and generally had an order of magnitude more employees that wanted/needed access to our internal than our contract allowed. In this blog post, I will explain why the future of business intelligence is open source.
Data Engineering Podcast
JANUARY 29, 2023
Summary Business intelligence has gone through many generational shifts, but each generation has largely maintained the same workflow. Data analysts create reports that are used by the business to understand and direct the business, but the process is very labor and time intensive.
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Data Engineering Podcast
OCTOBER 30, 2022
Summary Business intelligence has grown beyond its initial manifestation as dashboards and reports. What is your view on the role of business intelligence in a data driven organization? Many conversations around data and analytics are focused on self-service access.
Data Engineering Podcast
OCTOBER 12, 2020
Summary Business intelligence efforts are only as useful as the outcomes that they inform. Are you bogged down by having to manually manage data access controls, repeatedly move and copy data, and create audit reports to prove compliance? The business intelligence market is fairly crowded.
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