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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

4) Business Intelligence Job Roles. Does data excite, inspire, or even amaze you? Do you find computer science and its applications within the business world more than interesting? If you answered yes to any of these questions, you may want to consider a career in business intelligence (BI).In

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What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

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How AWS helped Altron Group accelerate their vision for optimized customer engagement

AWS Big Data

This post discusses the journey that took Altron from their initial goals, to technical implementation, to the business value created from understanding their customers and their unique opportunities better. He has been leading the building of data warehouses and analytic solutions for the past 20 years.

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

datapine

With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community. Essential Big Data And Data Analytics Insights. Discover The Best Data Analytics And Big Data Books Of All Time.

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Financial Dashboard: Definition, Examples, and How-tos

FineReport

Furthermore, we will introduce some business intelligence solution that excels in simplifying the process of creating and utilizing a financial dashboard effectively. Finance and accounting teams often deal with data residing in multiple systems, such as accounting software, ERP systems, spreadsheets, and data warehouses.

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Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

In my experience, hyper-specialization tends to seep into larger organizations in a special way… If a company is say, more than 10 years old, they probably began analytics work with a business intelligence team using a data warehouse. So there are three unusual books suggested for your reading list.

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Web Analytics: Frequently Asked Questions And Direct Answers

Occam's Razor

The best option is to hire a statistician with experience in data modeling and forecasting. Brian Krick: Best way to measure and communicate "available demand" from available channels (social, search, display) for forecast modeling. because the data is so very not available. Please see the advice above.