2017 has been an eventful year for Big Data and data analytics. So what can we look forward to in the new year?
So far as organizational strategy goes, the one that has been in focus of late is data governance. Ever since data analytics as a technology and technique was added as a major weapon to an Enterprise’s competitive armory, governance of the data, too, has gained importance. Yet, many Enterprises are found to be faltering on this front. There are surveys in the past that have shown that about 80 per cent
As we did read in the first part of this blog post, the chatbot space is relatively new. Not all bots are equal, and not many are configured around Artificial Intelligence (AI) yet. But that’s gonna change real quick. Remember, bots are built with a purpose. For now, there are two types of chatbots out there – one built with limited programming for a limited purpose, and the other with AI,
Never before have customers been more in control of the retail trade than today. But are they really? Or has the retailer wrested control of the exchange? Let's revisit this in the light of new technologies and sensors deployed in this "game". In the sixties through the eighties, Sears, Walmart and K-mart kind of super stores aggregated purchase information to decide what to buy and stock their shelves. Improving the scale
Where is the world of Business Intelligence headed this year? Here's a slideshow that examines the top trends in 2017.
Retailers in the United States (US) and their counterparts across the globe are beginning to see a common business threat. That “danger” is in the form of Amazon, the online ecommerce giant that threatens to grab even more retail market share as the years roll by. Two brand new reports released in April have only gone to underline what was being said all these years – Amazon is growing at a
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
"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
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
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