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Manthan Named a Strong Performer in Forrester’s Customer Analytics Wave Q2 2018

Manthan announced that it has been recognized as a ‘Strong Performer’ in The Forrester Wave: Customer Analytics Solutions, Q2 2018. The report is based on an evaluation of the select nine companies invited by Forrester who “provide a comprehensive customer analytics software solution consisting of [do-it-for-me] DIFM customer analytics functionality, which provide customer insights directly to business decision makers without the need for support from data scientists.” The participating companies were evaluated on 39 criteria, in three broad areas, current offering, strategy and market presence.

"We believe this recognition is a testament to our focus on the retail industry, and demonstrates our strong data science rigor,” said Atul Jalan, CEO and Founder, Manthan. “This reinforces for us our commitment and strategic investments in the marketing domain and also shows the faith our customers have in us – in helping them get the most from their customer data.”

The report cites Manthan’s advanced Customer Analytics for retailers and states, “Manthan positions itself as a customer marketing platform with its Customer360 and TargetOne platforms. It does a good job of addressing the three distinct personas in the analytics value chain - business users, data scientists, and data engineers — with distinct interfaces and functionality for each. Manthan specializes in problems unique to large retailers, such as defining customer churn and merchandizing.” The report also noted that “Maya, its intelligent assistant that allows marketers to query data through speech could become more valuable as conversational computing takes off.”

Speed, agility and ease are imperative in fast evolving customer marketing space. The report suggests one of the key reasons for growth of Customer Analytics is due to the evolving need of business users to access insights immediately, without having to rely on data scientists for interpretation. “We understand the business users’ need to act, and act fast. This guides us to leverage the best in advanced AI, NLP and design intuitive solutions that cater to everyday business needs,” added Atul.

Customer Analytics solutions eliminate the need for data science intervention for essential analyses such as behavioral segmentation, churn modeling, customer location, customer lifetime value and product recommendations.

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