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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.

Sincerely,
Derrick Martins  (Founder),  David Callahan  (Editor)  & the rest of the BI Corner team
The Complete Beginner's Guide To Big Data In 2017
Big Data has been around for some time now but there's still confusion about what it is

The concept is continuing to evolve and to be reconsidered, as it remains the driving force behind many ongoing waves of digital transformation, including artificial intelligence, data science and the Internet of Things (IoT). With that in mind I thought it was time to write a beginner's guide to what Big Data means in 2017. In a similar way to my beginner's guides to Blockchain and FinTech, this will be jargon-free and aims to explain the core concepts and ideas to anyone regardless of background knowledge.  + Read More
Can Customer Experience Be Improved Using Big Data Analytics
When it comes to user experience, data is always the king

Since years, the marketers work hard to make use of Big Data to build good customer experience. Today, almost every marketer talks about the use of Big data, but they actually don't know the potential of it. Big data is mostly misunderstood with data science. Big data has now become a broad field to learn the customer and help your business generate the best experience for your customers.With every strategy, comes the demand for learning big data to build a saturated user experience while offering your services. This data is highly used while offering financial services.  + Read More
Supervised VS Unsupervised Machine Learning - What's The Difference?
Terminology to describe Artificial Intelligence concepts - machine learning & deep learning

In this piece, I want to look at two concepts which are vital to understanding how machines are becoming increasingly smarter and able to perform tasks which previously could only be done by humans. Supervised and unsupervised learning describe two ways in which machines - algorithms - can be set loose on a data set and expected to learn something useful from it.  + Read More
Understanding Dark Data
Similar to dark matter in physics, dark data often comprises organizations' universe of information assets


Gartner defines dark data as the information assets organizations collect, process and store during regular business activities, but generally fail to use for other purposes (for example, analytics, business relationships and direct monetizing). Thus, organizations often retain Dark data for compliance purposes only. Storing and securing data typically incurs more expense (and sometimes greater risk) than value.  + Read More
15 Big Data Technology Developments You Should Know
The big data industry is off to a fast start

Many companies - both established vendors and startups - are debuting new or upgraded software for business analytics, data management and other big data jobs. While these new and updated products cover a broad range of big data technologies, some common themes run through them - primarily answering the challenges of how to simplify the chore of combining and preparing data for analytical tasks, and how to make data from widely diverse sources easily accessible to analysts, data scientists and other users..   + Read More
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Thank you,
  Derrick Martins  (Founder) and David Callahan  (Editor)
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