Tesla loves analytics! This infographic explores the ways analytics is being used by Tesla to compete in the a...
Most of the time, restauranteurs cannot put a finger on whether it is the food or the ambiance or the crowd or the service or the mood in the restaurants that makes them popular. But data science can decipher what works for your business.
Know more about Atul Jalan’s opinion on the blockchain, changing face of money and the bitcoin revolution.
The technology that brought all the data is also acting as the biggest roadblock in achieving analytical excellence. This is where an insight platform comes in.
The future will definitely bring uncomfortable questions about (manipulative) math and elections. Read Manthan CEO Atul’s take on Big data and elections.
This Article is first appeared in Economic Times Why data is the secret sauce behind that perfect match I just finished a collection of 200 Italian folk tales by Italo Calvino and (almost) all of them ended with `and they lived happily ever after’. While that’s a nice sentiment to end a story , fact nails […]
Manthan CEO Atul Jalan explores the significant role of analytics and data sciences in political elections, drawing a parallel between politicians and marketers.
Understanding the different flavours of AI can help you better take advantage of artificial intelligence currently in use, and prepare for developments of the future.
For wearables to reach the next level requires companies to build additional analysis features that increase engagement levels, and provide an unparalleled benefit to the consumer.
With as many as 75 million connected devices going online by the year 2020 the symbiotic relationship between IoT and analytics is geared to become more pronounced in the future.
Tesla loves analytics! This infographic explores the ways analytics is being used by Tesla to compete in the automobile industry.
Video intelligence platforms can improve the quality of operational decisions, bring merchandising and marketing initiatives to fruition, promote cross departmental collaboration, and enable personalized shopping experiences.
This blog explores the ways in which digitalization can impact retail performance to deliver on the 4Cs of the shopper experience.
2014 saw a dramatic shift to cloud based Business Intelligence and Analytics. CIOs have discovered that the flexibility, scalability, quick adoption timelines and the ability to handle huge volume of data in the cloud has made it a remarkably better option than on-premises offerings.
By “Consumerization” of technology, the power of the consumer has been augmented and accelerated. Consumers now demand more – more convenience, more consistency, more collaboration, more customization.
Though segmentation had its own benefits, personalization is the new trend taking the retail world by storm.
2014 buyer is more connected, empowered and demanding than ever. Advanced Retail analytics can help the Retailer understand and influence this buyer at the right time.
Targeting the new fashion customer requires integrating a wider set of big data across store, digital, social and mobile interactions, and stitching together a picture of the customer journey
This is the most commonly used statistical technique for psychographic profiling. Analysis of this type identifies relatively homogeneous groups of customers based on selected variables.
In which areas of retailing can the power of big data analytics be leveraged, and what are some of the best practices to consider in a retail big data project?