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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Business analytics and business intelligence (BI) serve similar purposes and are often used as interchangeable terms, but BI can be considered a subset of business analytics. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward. Business analytics techniques.

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Are You Getting The Most Out Of Your Marketing Data?

Smart Data Collective

Get started by focusing on these four insights and metrics. Many businesses restrict themselves to descriptive analytics, or what’s described above as knowing what your customers have already done. In recent years, though, there’s been significant growth in the use of predictive analytics. Highlight CLV.

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What is business intelligence? Transforming data into business insights

CIO Business Intelligence

The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs. Business intelligence vs. business analytics Business analytics and BI serve similar purposes and are often used as interchangeable terms, but BI should be considered a subset of business analytics.

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What Is The Difference Between Business Intelligence And Analytics?

datapine

While BI tells you what has happened in the past and what is happening now (descriptive analytics), BA tells you what will happen in the future (predictive analytics). Descriptive analytics : As its name suggests, this analysis method is used to describe and summarize the main characteristics found on a dataset.

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

Business intelligence can also be referred to as “descriptive analytics”, as it only shows past and current state: it doesn’t say what to do, but what is or was. BI dashboards like the one presented below provide a centralized view of the most important metrics businesses need to stay ahead of their competitors.

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An Interview with a Data Scientist

Grooper

What are the metrics that business wants to see and why it is valuable? Then we discover other metrics we can create to provide value along the line based on gathered requirements and interviewing right people and understanding business. I have learned that trust is required to take data modeling in production. Machine learning.