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Big Data
Using Big Data and Machine Learning to Fight Global Warming
Given the scope and sheer importance of the problem it makes sense to be using every tool we have to combat it. The tools available to us include big data and machine learning, and innovative applications for these technologies can help us…
Why Big Data Isn’t The Only Thing Insurance Companies Should Be Thinking About
We’ve all heard about the potential of big data. This brave new world is an exciting one, with a lot of potential--especially for the insurance industry, which unquestionably necessitates the use of many customer and competitive insights to…
Can Big Data Fight Fake News?
The concept of fake news has received a lot of media attention over the past year. The internet is a fantastic tool for acquiring information, however not all the information you can find on the internet can be trusted. In that sense, fake…
Detecting and Monitoring Diseases with Big Data
To avoid epidemics such as the 2014 Ebola outbreak, early detection and diagnosing of diseases is critical. Even in the more isolated cases, such as the development of cancer, early diagnosis can save lives. Big data can be used as a…
Getting Started with Analytics: 5 Basic Steps
You can get started with your big data analytics project by following the five basic
steps.
Step 1: Focus on the business problems you are trying to solve.
Work with your business users to articulate the business opportunities.
•…
The Big Picture of Big Data [Infographic]
There are many sources that predict exponential data growth toward 2020 and beyond. Yet they are all in broad agreement that the size of the digital universe will double every two years at least, a 50-fold growth from 2010 to 2020. Where…
What Is Big Data?
So when I met this Mr. Know It All consultant, I asked him ‘What is Big Data?’. He looked at me as if I just landed from Mars and went on to explain why Big Data is the next ‘in thing’ and why everyone should know about Big Data but never…
How Machines Make Sense of Big Data: An Introduction to Clustering Algorithms
This isn’t a trick question. Start with grouping the spiders together.
Done? While there’s not necessarily a “correct” answer here, it’s most likely you split the bugs into four clusters. The spiders in one cluster, the pair of snails…
When data gets big: Best practices for data preparation at scale
Business analysts across a spectrum of industries are asked to include larger volumes of data in their work, now pervasive due to diminishing costs of collection and storage. Answering real analytic questions that drive business value means…
Analytic Profiles: Key to Data Monetization
Organizations new to selling data need to be concerned with privacy and Personally Identifiable Information (PII), data quality and accuracy, data transmission reliability, pricing, packaging, marketing, sales, support, etc. Companies such…
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