One of the first rules of big data, could quite possibly be the following: there is no Big Data. That is – there is no single piece of big data research that is definitive. A research that gives you completely conclusive results, a research that does not generalize, a research piece that will be relevant in its entirety the next day after it has been drafted.[read more]
A recent poll among CMOs of a number of large organizations showed that over 70 percent of those surveyed felt ill-equipped to deal with the data coming at them from all directions.[read more]
For many years, big data has been the darling of the big enterprise world, capturing the attention of mostly the largest of businesses, along with automation and mobility. However, small businesses cannot simply put aside the prospect of adopting new technologies in order to become even more agile.[read more]
I recently shared an article on how airlines are using information to individually price airfares and extract maximum value from passengers which was thought provoking and insightful for many airline industry and big data professionals. With all the overwhelming feedback and questions I received, I wanted to dig deeper into the big data world and share with you some insights and a greater understanding on one of my favourite subjects — commercializing big data.[read more]
You know your target market better than anybody. You know their age range, gender, income level, education level and just about everything else there is to know. But even armed with such targeted knowledge, you may be missing pockets of potential customers - consumers that don’t fall 100% into your “target market.”[read more]
Analysts and data scientists continue to discover new ways to store more data and make our queries run faster, but the additional complexity of more data very quickly outpaces our ability to create more and better queries. The No Query approach requires that the algorithm computes the queries and ranks them based on relevance (like Google’s page rank algorithm).[read more]
While you don’t hear a whole lot about it outside of the industry, big data has fundamentally and systematically changed the trucking industry forever. Over the past 18 months, new software and technology – fueled by big data – has revolutionized fleet management and given a breath of fresh air to an industry that’s critical to our country’s infrastructure.[read more]
You want to join the competitors and start analysing your data, but think it’s too late to ask the basic questions? Worry not, this short compendium will guide you through the basics of data adoption for your company.[read more]
Market research as a business tool is important in that it enables businesses gather information about a product, a market or a service to be presented for sale on the market, the price margins, the available competition and then analyzing the information so obtained to make your own product the best and most competitive in that market.[read more]
Big data is increasingly viewed as the new currency in business—and making the most of the value it holds is the key-to-the-kingdom that organizations are seeking to optimize business results. In order to do that, they need the right experts to fill the big data gap within their organizations. But who are those experts?[read more]
Data lakes are defined as "a massive, easily accessible, centralized repository of large volumes of structured and unstructured data". Whereas data warehouses store data from various sources in specific static structures and categories, data lakes do not classify data when they are stored.[read more]
The field of data science is admittedly an attractive one for people who are already skilled with computers and statistics. With big data all the rage these days, the demand for qualified data scientists is higher than it has ever been. Not only does the average data scientist command a high salary (more than $110,000), but some of the skills associated with the profession were listed on LinkedIn as the top skills that got people hired last year.[read more]
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