Day: June 26, 2020

Steps for an Effective Business Intelligence Implementation Strategy

steps for effective Business Intelligence implementation
It is widely accepted that when English Banker, Sir Henry Furnese increased his profits after gathering information way back in the 1800s, the term Business Intelligence was coined.

Imagine you are the captain of a ship that has a broken compass and no way to navigate towards your destination. It is how many businesses operate, and then they lament the fact that their business isn’t ‘going anywhere.’ Business intelligence tools let you know whether your business is on the right track or not.

Business Intelligence is a necessity now as companies cannot survive without gaining critical information about their business. BI analyzes past and current data to predict future trends.

BI combines internal as well as external data to provide various insights to businesses like which product to launch and when, which demographic market to target first, and analyze their marketing efforts. BI acts as a roadmap to lead your

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4 data wrangling tasks in R for advanced beginners

With great power comes not only great responsibility, but often great complexity — and that sure can be the case with R. The open-source R Project for Statistical Computing, a programming language and environment, offers immense capabilities to investigate, manipulate and analyze data. But because of its sometimes complicated syntax, beginners may find it challenging to improve their skills after learning some basics.

If you’re not even at the stage where you feel comfortable doing rudimentary tasks in R, we recommend you head right over to Computerworld’s Beginner’s Guide to R. But if you’ve got some basics down and want to take another step in your R skills development — or just want to see how to do one of these four tasks in R — please read on.

I’ve created a sample data set with three years of revenue and profit data from Apple, Google and Microsoft, looking

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