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

datapine

For instance, you will learn valuable communication and problem-solving skills, as well as business and data management. Added to this, if you work as a data analyst you can learn about finances, marketing, IT, human resources, and any other department that you work with. What Are The Necessary BI Skills?

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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.

Big Data 263
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Financial Dashboard: Definition, Examples, and How-tos

FineReport

Budget variance quantifies the discrepancy between budgeted and actual figures, enabling forecasters to make more accurate predictions regarding future costs and revenues. 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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What is S&OP?

Jedox

Especially in a globalized world, where often production plants can be located in several different countries, a consistent aggregated data foundation is key for accurate sales and operations planning. After data preparation comes demand planning, where planners need to constantly compare sales actuals vs. sales forecasts vs. plans.

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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. The best example of this is in his 1962 book The Gutenberg Galaxy: The Makings of Typographic Man.

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Web Analytics: Frequently Asked Questions And Direct Answers

Occam's Razor

There are many, many paid tools in the market (like HitWise and Compete and Netsuus). Above are just the free ones whose datasets are is large enough to provide good data. The best option is to hire a statistician with experience in data modeling and forecasting. because the data is so very not available.