Simplify Cloud Operations for Large Supermarket Chains
Simplify Cloud Operations for Large Supermarket Chains Through a transition from GCP (Google Cloud Platform) to Amazon Web Service, a leading supermarket operations firm efficiently
This article describes a real-life project. However, we cannot disclose our client’s name for privacy purposes.
The client is a non-profit industry research entity backed up by the Singapore Government and ranked among top 5 market research companies in Singapore.
In the face of huge amounts of data, the client found it extremely inefficient to perform all the tasks of collecting respondent contacts, sending out surveys, and creating reports manually. Therefore, they were in acute need of a streamlined and automated data management process that could produce high-quality insights at much greater speed.
Market Research
Power Apps, Power Automate, Databricks, Azure SQL Database, Azure Data Lake Storage Gen2, Azure Data Factory
Singapore
Ongoing
Incorporating workflow automation using the Power Platform
To improve the client’s efficiency and reduce human errors, Rikkeisoft suggested the incorporation of Power Platform into the existing workflow, where data entry and data reporting would be fully automated.
To be more specific, after collecting data from four different sources (.xls, .txt, .csv, APIs), the staff in charge would transfer it to the Power System for data mapping. While in the past they would have to compile data into an Excel master list manually, the Power System will now speed up the process and create a master list with pinpoint accuracy.
After that, the staff in charge will proceed with sending surveys and collecting survey results. Then when it comes to translating results into reports, instead of using code as before, the staff just need to submit what they have gathered to the Power System for it to take care of the rest.
The client is happy with Rikkeisoft’s solution, where human and technology cooperate and complement each other smoothly. The new workflow has not only ensured a higher level of data completeness and consistency, but also helped the client save time and efforts aggregating data.
“This challenging project requires experts who are not only technically proficient, but also have a solid understanding of the industry. The team is performing excellently in the early phases of the project.”, the client stated.
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