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Interview – Business Intelligence und Process Mining ohne Vendor Lock-in!

Data Science Blog

Das Format Business Talk am Kudamm in Berlin führte ein Interview mit Benjamin Aunkofer zum Thema “Business Intelligence und Process Mining nachhaltig umsetzen”. 3 – Bei der Nutzung von Daten fallen oft die Begriffe „Process Mining“ und „Business Intelligence“. Für Data Science ja sowieso. Umsatz-Forecasts.

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Show HN: – Generative Business Intelligence

Hacker News

Leverage the power of Generative AI to enhance business intelligence and supercharge your marketing efforts.

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Generative AI Can Make Business Intelligence Even Smarter – Here’s How


In this contributed article, Ali Ahmed, General Manager of the Enterprise Applications business unit at Cloud Software Group, discusses how both AI and machine learning (ML) will continue to promote optimized business intelligence, especially with regards to data analytics and management, along with how business intelligence ensures the accessibility (..)

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Big Data Analytics: Why Is It So Crucial For Business Intelligence?


Understand the relationship between big data and business intelligence.

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5 Vital Business Intelligence Tips All Companies Should Embrace

Smart Data Collective

Business intelligence is an integral part of any business strategy. Business intelligence software can integrate information and present it in dashboards, reports, or graphs. It is also essential for a business to have a bi consultant who helps the business enhance its data strategy and processes.

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How NLP is turbocharging business intelligence


Natural language processing (NLP), business intelligence (BI) and analytics have evolved in parallel in recent years. NLP has shown potential to make BI data more accessible. But there is much work ahead to adapt NLP for use in this highly competitive area. Integrated NLP-enabled chatbots have …

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Big Data Modeling Improves Business Intelligence

The Data Administration Newsletter

Through big data modeling, data-driven organizations can better understand and manage the complexities of big data, improve business intelligence (BI), and enable organizations to benefit from actionable insight.