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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

That’s why it is of utmost importance to start with utilizing the right key performance indicators – there are numerous KPI examples that can make or break the quality process of data management. However, businesses today want to go further and predictive analytics is another trend to be closely monitored.

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Smarten Announces SnapShot Anomaly Monitoring Alerts: Powerful Tools for Business Users!

Smarten

Smarten announces the launch of SnapShot Anomaly Monitoring Alerts for Smarten Augmented Analytics. SnapShot Monitoring provides powerful data analytical features that reveal trends and anomalies and allow the enterprise to map targets and adapt to changing markets with clear, prescribed actions for continuous improvement.

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What Is The Difference Between Business Intelligence And Analytics?

datapine

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. Most BI software in the market are self-service.

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Do I Need Both BI Tools and Augmented Analytics?

Smarten

Obviously, when it comes to your competitive market space, your business does not want to exist in that 68% of the pie chart! Predictive Modeling to support business needs, forecast, and test theories. KPIs allow the business to establish and monitor KPIs for objective metrics. Assisted Predictive Modeling.

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What to Consider When Selecting a BI Tool

Smarten

Without business intelligence, the enterprise does not have an objective understanding of what works, what does not work, and how, when and where to make changes to adapt to the market, its customers and its competition. Traditional BI Tools include dashboards, key performance indicators (KPIs), reporting , graphs and charts.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics. An e-commerce conglomeration uses predictive analytics in its recommendation engine.

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

Smarten

This type of solution includes key influencer analytics, anomaly detection, alerts, clickless analytics and other tools designed to support the transformation of business users to Citizen Data Scientists and to increase data literacy in the enterprise.