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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. What is Data Science? Definition: Data Mining vs Data Science.

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. The discipline is a key facet of the business analyst role. Business analytics techniques.

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FP&A Trends for 2019: The Year of Digital Finance Transformation

Jedox

It gives me a chance to pause and review all the places I’ve been, all the CFOs I spoken with, and all the companies I’ve worked with over the past twelve months, to refine and distill what I believe are the top technological trends for financial planning & analysis in 2019. FP&A Trends No. #1: 1: Predictive Analytics.

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Why Data-Driven Outsourcing Can Be a Massive Win for Your Business

Smart Data Collective

You should use big data to improve your outsourcing models by data mining pools of talented employees. billion outsourcing tasks in 2019. You will get even more benefits from outsourcing if you incorporate big data technology into it. Access to Extensive Talent Pipelines with Data Mining. Here’s why.

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Data Science Blogs-R-Us

Rocket-Powered Data Science

In 2019, I was listed as the #1 Top Data Science Blogger to Follow on Twitter. And then there’s this — not a blog, but a link to my 2013 TedX talk: “ Big Data, Small World.” There are some older blogs that I will be including in the list below as I remember them and find them.

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International Institute for Analytics 2019 Predictions – Some Thoughts

Decision Management Solutions

Bill Franks, Tom Davenport and Bob Morison of the International Institute for Analytics recently published their 2019 Analytics Predictions & Priorities. They had some great predictions and suggested priorities around the ethics of analytics, the value of data and the use of AI in fraud and cybersecurity.

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10 Skill Yang Perlu Dikuasai Seorang Data Analyst

FineReport

Framework Big Data Processing: Hadoop, storm, spark. Data Warehous: SSIS, SSAS. Skill Data Mining: Matlab, R, Python. Seperti yang Anda ketahui, statistik adalah dasar analisis data. Statistik juga adalah sebuah skill utama seorang data analyst. Anda perlu memahami prinsip dibalik data.