Fashion, Weather and Predictive Analytics
Wondering how the words, fashion, weather, and predictive analytics are connected (fashion weather and predictive analytics)? 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? Pic
Human Behavior Prediction using Machine Learning Techniques
Customers leave behind an incomprehensible amount of data while they go about shopping. Making sense of that data and reacting in real time are the two things that will keep companies one-step ahead of their customers (and competition) in the present-day customer-centric world.
From Data To Decision: Why Companies Fail to Benefit from Such A Long Journey
Can you name that one big challenge that businesses which have deployed data analytics face? It’s not failure to get qualified data scientists or IT professionals, nor is it finding the right analytical tools. The problem confounding companies is – how to implement actionable insights derived from analytics. For businesses that have started deploying analytics, the journey starts with data, moves on to its collection, analysis and visualization, finally ending in a decision that has to be then implemented. Yet, like a decathlon athlete who fails to clear that last hurdle, many companies falter at the last mile.
Building an effective What-If Analysis Model
Data analytics need not stop at just looking in the rear-view mirror. 'What-If' analysis offers organizations a way of forecasting the future, with historical facts as the base. But your scenario modeling must be made efficient for best results.
Top 3 Reasons Why Data Governance Strategies Fail
Top 3 reasons why Data Governance strategies fail? As far as organizational strategy goes, the one that has been the focus of late is data governance. Ever since data analytics as technology and technique was added as a major weapon to an Enterprise’s competitive armory,
Deploy Marketing Analytics for a Nimble, Fast Acting Organization
Deploy Marketing Analytics for a Nimble, Fast Acting Organization Two things are a must for marketing success today – Big Data and Analytics. A slideshow
How Menu Engineering can Push Up A Restaurant’s Profits
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
Data Analytics Enriches A Customer’s Gastronomical Experience
How Big Data Analytics is Boosting the Food Industry? Big Data and its analysis have come as a disruptor for the food industry, more so for restaurants. There was a time when restaurants were largely run on the gut feelings of a manager or the whims and fancies of the ow
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. Know more about chatbots and customer analytics. Reme