Data monetization strategy can be defined as a re-engineering of business data to create a measurable and positive impact on business revenue by making efficient use of data. There are mainly two forms to transform data into money. Firstly, provide access to organizational data and get the benefit of supplemental revenue stream which is also called as direct data monetization. Secondly, client data can be used to get insights and enhance customer services and operations which is called as indirect data monetization. As this monetization has become crucial for industries, data creators such as healthcare, retailers etc. are pursuing new and significant ways to monetize their data. At the same time, consumers who are actual contributors of data demands for access control over their public data to get knowledge about usage of their data in the market. A solution is constituted known as Blockchain technology. Even though blockchain is under execution for some business applications, it holds promising transformations in various businesses, the retail market is one of them where data flow continues and sensitive to day to day operations. This paper focuses on the optimization of customer data in retail management by using manually taken customer transactions and applying data analytical techniques along with blockchain. It emphasizes the significant usage of customer data in retail operations.