Retail Measurement Service - Data Processing and Data Visualization platforms

Visualization platform for Retail Measurement Services

This highly advanced, automated data projection, data processing and data visualization system for retail measurement services is deployed in a number of countries across the globe.

Key elements of the platforms include:

  1. Sample Design and Data Projection
    • Sample design. (Stratified sampling).
    • Data validation and quality control.
    • Projection of data based ratio estimation and matrix projection methods.
  2. Data Processing:
    • Monthly processing of retail purchasing and sales data.
    • Artificial intelligence based algorithms to detect coding errors.
  3. Data Visualization provides for:
    • Innovative online system of dashboards and reporting.
    • Server hosting.
    • Client access and control system.

View this demo to experience the visualization platform.

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Business Intelligence Dashboards

Market Intelligence and Data Visualization
Custom designed, interactive, automated, online dashboards that allow for the integration and visualization of market knowledge from diverse sources, in a manner that makes it easy to access and digest.


Consumer Analytics

Consumer Analytics, Loyalty and Consumer Panels
Analysis of continuous individual/household level (customer level) behavioural data to address business issues.


Retail Tracking, Scan Track

Scan Track and Retail Analytics
Dashboards and analytic solutions for reading/analysing retail audit/scan track data; and techniques for analysis of continuous outlet level transaction and shopper data to address business issues.


Retail Measurement Service - Data Processing and Data Visualization platforms

Retail Measurement Service - Processing and Visualization
Automated data projection, data processing and data visualization system for retail measurement services.


promotions-evaluation

Promotion Evaluation
Analytic techniques/dashboards for evaluating consumer promotions in terms of gains in volume value and profit; estimating discount price elasticity, price cross elasticity, decomposing sales, and applying due-to and what-if analysis.

promotions-evaluation

Market Mix Modelling
Assess impact of the elements of the mix, on sales and ROI.

customer satisfaction research

Quantitative Research, Customer Satisfaction Research
Custom designed solutions for data processing and reporting with a working example of an interactive, automated online dashboard for Customer Satisfaction Research.

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Contact

Ashok Charan,
Marketing Analytics Practitioner’s Guide,
Digital Marketing,
Marketing Mind,
Destiny Marketing Simulator,
Analytics Solutions: Contact by e-mail ashok.charan@gmail.com

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