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Three big mistakes to avoid in marketing analytics

It’s not enough merely to decide to implement data analytics for marketing your business, you need to also ensure its proper implementation in order to meet your objectives. That’s a job easier said than done.  Once a company has embedded analytics in its marketing process, it's very important not to lose track of the implementation, or else, its efficacy could be blunted. From experience, we can say that there are some

To deploy streaming analytics or not, that is the question

Streaming data analytics

"Should your business consider streaming analytics of its big data?" With the increasing deployment of this form of analytics, your business managers may have raised this question in the recent past. If you have not arrived at a conclusion yet, read on. Without a doubt, this branch of analytics has made inroads in the past two years, and gets more popular with every passing day. For example, a new survey by SearchBusinessAnalytics publisher

Analytics in sports – a growing business

Analytics sports

Super Bowl time in the United States is a good enough reason to take a re-look at the technological improvements in the world of sports, especially at the business-end. Like any other discipline, or profession or business, sports, too, spews out big data, necessitating the deployment of analytics to tackle things better. In fact, most sports organizations in the US and the United Kingdom have set up their own analytics

Fashion, weather and predictive analytics

Wondering how the words, fashion, weather and predictive analytics are connected? Here’s a poser – what is one of the biggest challenges before the global fashion industry today? Weather. You wouldn’t have guessed it, right? Pick up any fashion magazine, read any fashion portal, white paper.... you name it, unpredictable weather is on the Top-5 challenges list before the fashion industry. As global climate undergoes, not so subtle changes, largely thanks to

5 criteria to help you select the right marketing analytics solution

Without doubt, data analytics has become a very important tool in every marketer’s arsenal. Studies have shown that on an average, 12% of the total marketing budgets in 2016 was allocated to analytics by major and medium-sized enterprises. And, it's expected to grow next year. So perhaps, the crucial question that marketers wanting to deploy data analytics in 2017 will face is – which is the right marketing analytics solution for

Are you making unstructured data work for your business?

With more and more emphasis on the use of cognitive computing, it is but natural that its impact will be felt on today’s data analytics landscape. For the longest time, Enterprises chose to mostly ignore unstructured data since the tools and skills required to derive meaning from it were not sophisticated nor flexible enough. No longer so. Today, among the solutions offered for the analysis of unstructured data are Machine-Learning and Artificial

The War of the Algorithms

Algorithms are biased, opaque and scalable. Dr. Cathy O'Neil calls them Weapons of Math Destruction in her new book. In particular, those algorithms that are used to segment customers into the good, the bad and the ugly segments. Today, unknown to us, many aspects of our individual and corporate lives are governed by algorithms. This is the opacity that we are unaware of. It is the inconvenient truth that no one is

Top 5 trends in data analytics in 2016

Data analytics was on top of the investment list of many global organizations in 2016. Express Analytics analysts took a hard look at the data landscape around them to understand the direction in which big data and analytics had moved this year. The EA team realized that there was much forward movement on cognitive computing, artificial intelligence and machine learning. Based on feedback received, we've prepared this simple, yet, incisive infograph to

10 things about Computer Vision and data analytics you may not know

To most they consist of just pixels but digital images, like any other form of content, can be mined by computers for data, which can then be analyzed. The extraction of information from still images and even video, using image processing techniques including algorithms, is on the cusp of going commercial. There are two forms - Machine Vision, which is the more "traditional" form of this tech, and a digital world

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