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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. Those who work in the field of data science are known as data scientists.

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Using Business Intelligence in Demand Forecasting

Jet Global

One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends. In this blog post, we are going to cover the role of business intelligence in demand forecasting, an area of predictive analytics focused on customer demand.

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Top Business Intelligence Features To Boost Your Business Performance

datapine

1) Benefits Of Business Intelligence Software. 2) Top Business Intelligence Features. a) Data Connectors Features. b) Analytics Features. Your Chance: Want to take your data analysis to the next level? Benefits Of Business Intelligence Software. Table of Contents. c) Dashboard Features.

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Using Business Intelligence in Demand Forecasting

Jet Global

One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends. In this blog post, we are going to cover the role of business intelligence in demand forecasting, an area of predictive analytics focused on customer demand.

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How Newcomp Analytics partners with IBM to advance clients’ supply chain insights

IBM Big Data Hub

When Newcomp Analytics started working with chocolatier Lindt Canada more than 15 years ago to support their supply chain, Lindt had no full-time IT personnel for analytics. Lindt now has a team of 10, including a business intelligence (BI) manager and BI developer analysts.

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Master Your Power BI Environment with Tabular Models

Jet Global

The world of business analytics is evolving rapidly. The size and scope of business databases have grown as ERP functionality has evolved, businesses have increased their adoption of CRM and marketing automation, and collaboration networks have become more common. The first is an OLAP model.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

At 156 pages on Kindle, this is a book you could finish in one (long) sitting if you were so inclined, and that you can also use as an inspiration when you work on your business intelligence strategy. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz.

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