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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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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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Increase Analytics Influence: Leverage Predictive Metrics!

Occam's Razor

Bonus Tip: If you would like to migrate to the free version of Google Analytics 4 to take advantage of the above delicious predictive metrics, here’s a helpful article. Predictive Metrics Nirvana – An Example. The Danger in Predicting the Future. It is a great way to invest in your personal learning and growth.

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

Renowned author Bernard Marr wrote an insightful article about Shell’s journey to become a fully data-driven company. For example, by using prediction models, they are able to generate a heatmap to tell drivers where they should place themselves to take advantage of the best demand areas. Let’s look at our first use case.

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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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Understanding Augmented Analytics and Its Evolution

Smarten

This article will help you gather information about the topic of augmented analytics. 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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You Can Have Traditional BI and Augmented Analytics!

Smarten

In this article, we look at the benefits of combining a business intelligence and augmented analytics approach and how your business can have both in one solution. Multidimensional Key Performance Indicators (KPIs). Key Influencer Analysis. Auto Insights and toolsets that leverage machine learning.