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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

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Visual Analytics Software and Predictive Analytics Made Easy!

Smarten

That world exists today with the evolution of sophisticated, yet easy-to-use tools that include predictive analytics for business users, visual analytics software and tools, and self-serve data preparation.

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Smarten Augmented Analytics is Named as a Representative Vendor in Gartner® 2023 ‘Market Guide for Augmented Analytics, Published October, 2023!

Smarten

The Smarten Augmented Analytics suite includes Smart Data Visualization , AI and Assisted Predictive Modeling , Self-Serve Data Preparation , Natural Language Processing (NLP) and Search Analytics , SnapShot Monitoring and Alerts , and many other sophisticated features.

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Why you should care about debugging machine learning models

O'Reilly on Data

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

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Predictive Analytics: 4 Primary Aspects of Predictive Analytics

Smart Data Collective

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

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Introducing The Five Pillars Of Data Journeys

DataKitchen

Our customers start looking at the data in dashboards and models and then find many issues. Data Journeys run on software, on servers, and with code. The above image shows an example custom ‘data in use’ test of a predictive model and API. In our experience, the locus of those problems changes over time.

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