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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

As Dan Jeavons Data Science Manager at Shell stated: “what we try to do is to think about minimal viable products that are going to have a significant business impact immediately and use that to inform the KPIs that really matter to the business”. Your Chance: Want to try a professional BI analytics software?

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Traditional & Modern BI and Analytics: A Perfect Combination Solutions!

Smarten

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

ETL (extract, transform, and load) technologies, streaming services, APIs, and data exchange interfaces are the core components of this pillar. Unlike ingestion processes, data can be transformed as per business rules before loading. You can apply technical or business data quality rules and load raw data as well.

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Understanding BI Tools in Today’s Market

Smarten

You may be interested to know that TechJury reports seven out of ten businesses rate data discovery as very important, and that the top three business intelligence trends are data visualization, data quality management and self-service business intelligence.

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A manager’s story of transforming decision-making and sales with AI-powered BI and analytics

CIO Business Intelligence

The integration of AI, particularly generative AI and large language models, further enhances the capabilities of these platforms. These technologies enable advanced analytics techniques like predictive modeling, anomaly detection, and natural language query processing.

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