POS Analysis Platform: Partnership with Market Research Leader Using Big Data Analytics
In a Nutshell
A leading market research firm in Japan needed a reliable way to handle massive volumes of POS (Point-of-Sale) data from retail partners. We developed a robust data analysis platform that automated uploads, enabled deep custom analytics, and delivered actionable insights. The result: faster reporting, improved client retention, and sharper identification of emerging market opportunities.
In a Nutshell.
A leading market research firm in Japan needed a reliable way to handle massive volumes of POS (Point-of-Sale) data from retail partners. We developed a robust data analysis platform that automated uploads, enabled deep custom analytics, and delivered actionable insights. The result: faster reporting, improved client retention, and sharper identification of emerging market opportunities.
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Inside the Opportunity
- POS data from thousands of shops was being processed manually, making analysis time-consuming and error-prone.
- Existing systems lacked flexibility for custom client requirements and scalable analytics.
- Market insight delivery was delayed, impacting client satisfaction and competitiveness.
- Fragmented data storage made it difficult to extract trends across locations and retail chains.
- There was an urgent need to uncover real-time insights to support data-driven strategies and retain clients.
Inside Innovature’s Thinking
- Designed and implemented a centralized POS analysis system capable of handling large datasets from diverse shop networks.
- Integrated a streamlined data ingestion module to automate uploads from multiple sources.
- Imported and structured master data to enable multi-dimensional, real-time analytics.
- Enabled users to generate customized analytical reports based on market needs and user-defined metrics.
- Delivered a scalable, future-proof architecture supporting various types of data analysis and visualization.
Inside the Impact
25%
40%
70%
Client Overview
Our customer, a leading market research company in Japan, has established a reputation for providing valuable insights and data-driven solutions to businesses in various industries. With a team of experienced researchers and analysts, they have developed a deep understanding of the market trends and consumer behaviour in Japan. Our team was honoured to have the privilege of working on this project and providing a robust and innovative solution that met their unique requirements.
Problem Statement
Our client was facing challenges in managing and analyzing the vast amounts of POS data collected from various shops and areas. The current manual process of analyzing this data is time-consuming, prone to errors, and does not provide the level of detail and customization required by their clients. They need a robust and efficient system that can handle different types of analysis on POS data and generate reports based on user demand, in order to provide more valuable insights and data-driven solutions to their clients.
Our Solution
Our proposed solution for the client’s challenge of managing and analyzing POS data is a comprehensive POS data analysis system. The system enables data providers to collect and upload the data from various shops and areas to the system. It processes the data and imports it into a database for storage. The system also imports the master data, which contains all the necessary details regarding the POS data, to allow for effective analysis.
The goal of this system is to provide the client with a robust and efficient solution for managing and analyzing POS data and its ability to handle different types of analysis, along with its real-time reporting capabilities, will provide the client with valuable insights and data-driven solutions. This will help the client to provide a more comprehensive and customized service to their clients and support their ongoing success.
Client Benefits
By adopting a 360-degree view on data, the client gained a comprehensive understanding of their business landscape, customers, and market trends. This approach resulted in a 25% increase in customer retention and a 40% improvement in identifying new market opportunities.
The automated data upload feature streamlined the process, saving time and effort in data management. With the ability to create custom analyses, the client could delve deep into specific areas of interest and uncover valuable insights. These insights, being actionable, empowered the client to make informed decisions and drive positive outcomes based on data-driven strategies.
