Lack of synergy between multiple retails ops engine, disconnected, silo occurrence of data and insights across different functions stumps retailers’ effort of effecting accurate productivity & ROI co-relation analysis. More so, inability to identify growth drivers at store level, sub-optimal sales conversion vis-à-vis store footfall, failure in establishing sales authenticity and ‘loss of sales’ are the burden that retailers face on failure to leverage the right retail analytics solution. Then, the endeavour to deliver exemplary customer experience and accelerate ROI at the best is – doomed!
Precision in Analytics relies heavily upon data quality and data-logic and an effective implementation help beef up retailers’ revenue while reducing revenue leakage. Denave’s retail analytics service leverages expertise in data science and advanced analytics to achieve an integrated view of all retail engines. It makes identification of growth drivers, prevention of loss of sales, footfall forecasting, efficient customer engagement model, merchandising and promotion effectiveness mapping – all a reality! In-depth merchandizing analytics, efficient data assessment, standardization & integration and effective monitoring and feedback mechanisms create sustainable improvement loop across all retail actions optimising resources and maximising ROI.
Denave wins the IDC I.C.O.N.I.C Insights Awards 2017 for its Integrated Analytics Platform
Access to clean, structured & standardised data which is maintained via regular checks.
Language & location agnostic data standardisation with normalisation techniques applied as per business rules.
Instantaneous spotting of trends and outlier for efficient decision-making. Holistic view of the market with customer, competitors and operational insights.
Retail Analytics service, a part of BI & Data Analytics services offered by Denave, is a tailor-made service for companies operating in retail environment. These can be either retailers (store chains) or retail brands in consumer durables, FMCG, fashion, electronics, mobiles, etc
Retail analytics is aimed at maximizing store productivity through data analysis. This includes – in-store analytics, customer intelligence, competition analytics, channel analytics, merchandizing analytics, inventory analytics, and more. You may go through each of these in details here.
In-store analytics is the ability for retailers to use software platforms that can help them understand what shoppers do in their stores. Retailers use this information to improve their stores so to better meet their customers' needs.
Key benefits provided by this service are:
Denave’s BI and Data Analytics service is a platform and language agnostic analytics service for our clients from multiple industries. Our offerings range from BI managed services to consultative analytics services that are tailor-made for a particular industry, such as – Retail Analytics or Merchandizing Analytics. Please click here to know more.
Denave’s retail analytics service leverages expertise in data science and advanced analytics to achieve an integrated view of all retail engines.
Here are some key differentiators:
We leverage expertise in advanced analytics to deliver a 360-degree view of retail engines. Some key differentiators are Sale DNA, deep retail capabilities powered by BI and Analytics, salesforce automation tools, rich industry experience and solution readiness, & field force training.
We offer BI and analytics vis-à-vis sales trends, inventory prediction, buying behaviour, field force scorecard, conversions, region wise sales analysis, quality of merchandise deployment, time spent per store, productivity, SKUs, etc. It is a tailor-made service for companies operating in retail environment. These can be either retailers (store chains) or retail brands in consumer durables, FMCG, fashion, electronics, mobiles, etc. We also derive actionable insights from various data points.
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