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Get Ready For These Six 2020 Business Intelligence Trends

Smart Data Collective

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. These new avenues of data discovery will give business intelligence analysts more data sources than ever before.

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Impressive Ways that AI Improves Business Analytics Insights

Smart Data Collective

In addition, several enterprises are using AI-enabled programs to get business analytics insights from volumes of complex data coming from various sources. AI is undoubtedly a gamechanger for business intelligence. The time spent on analysis can affect daily business decisions and strategic actions.

Business 338
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Pharma Analytics: Unlocking Success and Transforming Your Business

Netbasequid

By applying internal and external data, you understand the problems better and are at an advantage in developing effective solutions, unlike using a limited dataset. Leading pharmaceutical companies gather and analyze different kinds of data, using advanced business intelligence tools to view the data holistically.

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Digital Analytics Simplified: The Beginner’s Guide

CXL

You’ll also discover digital analytics tools and the most complete digital analytics training to help you better understand your customers. Table of contents What is digital analytics and what can you gain from it? Descriptive analytics 2. Predictive analytics 3. Predictive analytics.

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5 Top Data Companies

IT Business Edge

SAS would go on to become the gold standard for data analytics. Its platform allows for AI, machine learning, predictive analytics, risk management, data quality and fraud management. Prior to this, he was CEO of Proofpoint, a fast-growing cloud-based security company. It was certainly a good move. billion last year.

Startups 104
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The case for vertical integration in analytics platforms

BI Survey

Analytics content must be created in an iterative manner and it must not be impeded by the restrictions caused by data silos. The fast creation of reliable results and sharing them in a secure manner requires seamlessly integrated software that supports the complete analytics cycle from data ingestion to presentation.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

Datapine Blog

The rise of SaaS business intelligence tools is answering that need, providing a dynamic vessel for presenting and interacting with essential insights in a way that is digestible and accessible. The future is bright for logistics companies that are willing to take advantage of big data. Now’s the time to strike.