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.
Knowledge Hut
APRIL 23, 2024
Data Science and Business intelligence are popular terms in every business domain these days. For an organization, it is essential to know the difference between business intelligence and data science to make fair use of both and ensure significant growth. Business Intelligence only deals with structured data.
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Knowledge Hut
JANUARY 19, 2024
Business Intelligence Analyst Importance The proliferation of IoT-connected objects, IoT-based sensors, rising internet usage, and sharp increases in social media activity are all enhancing businesses' ability to gather enormous amounts of data. What Does a Business Intelligence Analyst Do?
Data Engineering Podcast
OCTOBER 30, 2022
Summary Business intelligence has grown beyond its initial manifestation as dashboards and reports. Your host is Tobias Macey and today I’m interviewing Amir Orad about Sisense, a platform focused on providing intelligent analytics everywhere Interview Introduction How did you get involved in the area of data management?
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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.
Knowledge Hut
JANUARY 19, 2024
The key has the right tools, starting with knowing what data is important for your business. Business intelligence (BI) and business analytics (BA) are two terms that are often used interchangeably, but there is some important difference between business intelligence and business analytics.
Knowledge Hut
JUNE 28, 2023
Experience the power of Business Intelligence, a tech-driven methodology to gather, analyze, and present business data. That is why companies hire business intelligence analysts who can provide valuable insights, enabling teams to make informed decisions conveniently.
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Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them. Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Here’s how.
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In its 2020 Embedded BI Market Study, Dresner Advisory Services continues to identify the importance of embedded analytics in technologies and initiatives strategic to business intelligence. Which sophisticated analytics capabilities can give your application a competitive edge?
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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
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For 12 years Dresner Advisory Services has run analysis on the importance of business intelligence, and the different providers of embedded BI solutions. Business intelligence is the technological capability to include BI features and functions as an inherent part of another application. BI Defined.
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