Denave launches solution in India

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has launched a merchandising retail analytics solution aimed at retail sector in India. The company said that its newly launched solution will provide an integrated global reporting platform to business that will enable them to have a consolidated view of data from multiple geographies, entities and functions.

The company claims that its solution will thwarts data anomalies and enables standardizing of merchandising processes, performances and KPIs as global benchmark for performance evaluation.

“Merchandising in the retail scenario is mostly unorganized, faced with multiple issues such as poor data quality, inconsistent metric definitions, poorly defined processes, managing multiple reporting platforms to name a few,” said Geeta Khurana, Global Head – Transformation, Denave.

“While designing this solution, we looked at addressing each of these concerns, and moreover we never lost track of our larger vision of ‘simplifying and enhancing data’. The pilot results have been heartening given its proven scalability and enriched data quality scores besides minimizing turn-around time for reporting which is crucial for the review mechanisms,” said Ms Khurana.

“Compliance, optimisation and visibility are key priorities in the retail merchandising segment. Moving notches above existing Merchandising Analytics in the market and in keeping with both local and global needs, this service shall act as an enabler for all companies who are looking to increase their merchandising effectiveness. This is not a standalone service standardizing merchandizing activity through data assessment and data integration; but is a strategic part of our Sales Enablement portfolio that we are confident of becoming an essential for retail businesses,” said Snehashish Bhattacharjee, Global CEO, Denave.

The solution boasts of features such as centralized data collection, data assessment & integration, visibility optimization, availability optimization, retail space audit, sales impact & correlation and planning & forecasting.

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