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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. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade.

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Top 10 Analytics And Business Intelligence Trends For 2020

Datapine Blog

Over the past decade, business intelligence has been revolutionized. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.

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Top Business Intelligence Features To Boost Your Business Performance

Datapine Blog

1) Benefits Of Business Intelligence Software. 2) Top Business Intelligence Features. b) Analytics Features. Benefits Of Business Intelligence Software. 17 Top Features Of Business Intelligence Tools. No matter the business size, companies are collecting data from multiple sources.

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Top 10 Analytics And Business Intelligence Buzzwords For 2020

Datapine Blog

Business intelligence has undergone many changes in the last decade. Each year, we hear about buzzwords that enter the community, language, market and drive businesses and companies forward. That’s why we have prepared a list of the most prominent business intelligence buzzwords that will dominate in 2020.

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Get The Most Out Of Smart Business Intelligence Reporting

Datapine Blog

Spreadsheets no longer provide adequate solutions for a serious company looking to accurately analyze and utilize all the business information gathered. That’s where business intelligence reporting comes into play – and, indeed, is proving pivotal in empowering organizations to collect data effectively and transform insight into action.

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The Role of Data Analytics in Football Performance

Smart Data Collective

Teams and organizations must ensure the security and privacy of collected data. Artificial intelligence and machine learning algorithms will play a more significant role in interpreting complex data sets, providing deeper insights and predictive analytics.

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18 Examples Of Big Data Analytics In Healthcare That Can Save People

Datapine Blog

Then, they could use machine learning to find the most accurate algorithms that predicted future admissions trends. Records are shared via secure information systems and are available for providers from both the public and private sectors. 8) Predictive Analytics In Healthcare. 9) Reduce Fraud And Enhance Security.

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