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Why data governance is important and why organizations fail at it

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

How menu engineering can push up a restaurant’s profits

In the first part of this blog post, we had read about how data analytics is being used by restaurants and fast food chains in customer segmentation. Today, we will look at how analysis helps to build, or rather, re-build a restaurant’s menu. That’s right. Analytics can play a big role in not only determining a menu but also working “behind the scenes” and improving kitchen efficiency. One of the oft-quoted examples

Chatbots and customer analytics

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,

Embedded analytics – empowering the masses

A business is a combination of various processes. Improvement in that business will happen when all the processes are harmonized. Co-ordination is needed not only between various departments and their leads, but even the employees lower down the rank. This harmonization does not happen by chance but by design. Employees at all levels, and not only those in the core team, need to be empowered. And in today’s increasingly competitive world,

Key to successful deployment of data analytics in retail

Today, on these pages, we are going to discuss an issue that, over the years, has come to play a leading role in the business of retail – data analytics. The immediate reason for this post is a special report – The Fine Art of Analytics – released by Boston Retail Partners, that speaks of problems yet to be addressed by those retailers who have gone ahead and implemented analytics in

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

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