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Become a Business Intelligence Analyst in Less Than 6 Months

KDnuggets

Ready to become a business intelligence analyst right here, right now?

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Differences Between Business Intelligence vs Data Science

Knowledge Hut

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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Top Business Intelligence Sessions from Data + AI Summit

databricks

To operate with the speed, efficiency and productivity that companies are seeking, more employees need accurate, quick and tailored answers to questions about.

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Expanding The Reach of Business Intelligence Through Ubiquitous Embedded Analytics With Sisense

Data Engineering Podcast

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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2021 Dresner Advisory Services Business Intelligence Market Study

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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Business Intelligence Analyst Jobs

Knowledge Hut

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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Business Intelligence meets Data Engineering with Emerging Technologies

Simon Späti

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.

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Report by Dresner Advisory Services: Embedded Business Intelligence Market Study

According to the 2020 Dresner Embedded Business Intelligence Market Study, embedded business intelligence is crucial for application success. This report explores the current state of BI and why application teams are increasingly choosing an embedded solution.

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Embedding BI: Architectural Considerations and Technical Requirements

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. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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BI Buyers Guide: Embedding Analytics in Your Software

The business intelligence market has exploded. And as the number of vendors grows, it gets harder to make sense of it all. Don't go into the fray unarmed. This exhaustive guide with a foreword from BI analyst Jen Underwood dives deep into the BI buying process and explores how to decide what features you need.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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.

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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities?

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7 Questions Every App Team Should Ask

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. Discover the top seven requirements to consider when evaluating your embedded dashboards and reports.

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4 Approaches to Data Analytics

You’ll learn: The evolution of business intelligence. How do you differentiate one solution from the next? Choosing the best solution for your dashboards and reports starts with understanding the types of analytics solutions on the market. 4 common approaches to analytics for your application. The pros and cons for each option.

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The Essential Guide to Analytic Applications

We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core. Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges.