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

IBM Big Data Hub

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

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You Can Have Traditional BI and Augmented Analytics!

Smarten

With an integrated, mobile approach to BI tools, business users can leverage personalized dashboards, multidimensional key performance indicators, and KPI tools, report software, Crosstab & Tabular reports, GeoMaps and deep dive analytics and enjoy Social BI and collaboration. Key Influencer Analysis.

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Understanding Augmented Analytics and Its Evolution

Smarten

‘Augmented analytics is the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation and insight explanation to augment how people explore and analyze data in analytics and BI platforms.

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Smarten Augmented Analytics Now Available on Mobile App!

Smarten

The Smarten mobile application provides intuitive dashboards and reports, stunning visualizations, dynamic charts and graphs and key performance indicators (KPIs). Users can share reports and data via WhatsApp, email, chat or other content sharing apps on mobile devices, encouraging information sharing and collaboration.

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Do I Need Both BI Tools and Augmented Analytics?

Smarten

Predictive Modeling to support business needs, forecast, and test theories. Cloud and Mobile Access to make business intelligence, data models and data sources accessible from anywhere. Key Performance Indicators (KPIs). Assisted Predictive Modeling. Anomaly Monitoring and Alerts.

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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. The predictive models, in practice, use mathematical models to predict future happenings, in other words, forecast engines.

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Increase Analytics Influence: Leverage Predictive Metrics!

Occam's Razor

Note: Strictly speaking what we are doing above is closer to Predictive Modeling, even though we have a bunch of Predictive Metrics. I share our work as a way to invite your feedback on what we can do better and in the hope that if you are starting your Predicted Metrics practice, that it might serve as a north star.

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