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BI Corner
is an online resource for Business Intelligence, Analytics & Data Science Professionals. Featuring a combination of original & curated content, bicorner.com delivers the best independent collection of current, relevant and interesting Business Intelligence & Analytics information available.
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How to Create a Data Strategy - Part 1 Overview
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A step-by-step Guide
In the information economy, data is the lifeblood of an organization. It flows through every business process-it shapes customer interactions, guides product design and development, and facilitates strategic plans and decisions. Without data, an organization today cannot function for long, and it can't adapt quickly to changes in market forces. Modern executives view data as a critical asset that must be managed, nurtured, enriched and delivered in a timely manner to all employees, customers, suppliers, partners, applications, and systems that need it.
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A beginner's guide to building a data science team
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What are the Benefits of Analytics?
Before long, just like this stock photo, you'll have a team of weird orange people with big bulbous heads, who can sit around a table looking at an enormous hologram of a simple bar chart. In this article we will cover: Definitions of data science, The purpose of data science, How data science teams should integrate into the organisation, Recruiting for data science, Team roles Though Econsultancy is marketing focused, there's plenty in here to appeal more broadly. First, an attempt at a definition It seems trite to say that data science's applications are broad, but they are. And data science teams come in different forms, within different organisational structures and under different names.
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Deep learning for executives: how will it change your business?
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User experience is why executives need to keep their eye on deep learning
Chances are, your company is awash in a tsunami of data these days. And you've thrown everything from open-source databases to machine learning algorithms - as well as an army of data scientists - at the problem. But I bet if you asked your data scientists how effective those tools are, they'd say they can still barely keep afloat. This is exactly why businesses today need to kick the tires on deep learning - there is simply too much data, and too much variety, for smart people to feature engineer their way to the right solutions.
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What Is a Data Scientist?
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Don't be just a creator of data; be the part be the part of the data science revolution
While you may not realize it, you're a data factory, producing data at every turn you take. Grabbing your morning coffee and paying with a credit card? You've produced data for the store and credit card company. Googling directions to your first meeting of the day? You've created data from your search request. Hopping on the bus and swiping your transit card? You just produced data stored with your municipal transportation group Within a matter of minutes, you've created a handful of data. Multiply this by the rest of the day, the rest of the year, and wow - so much data has been created, just by you.
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| 6 Popular Big Data Technologies that You Must Know |
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Do you know what the key differentiator between a market leader and a has-been leader?
It is "data management" and any organization that cannot handle the influx of data and put it into good use is likely to give way to wiser companies that know how to make their data work. They are constantly on the quest for finding new strategies to make innovative use of Big Data. In fact, the power of Big data and mobility can truly elevate businesses to new levels. Hence, Big Data is the term given to huge amounts of data. As the data comes in from a variety of sources, it could be too diverse and too massive for conventional technologies to handle.
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