Introduction

The client is a leading jewelry design house and manufacturer based in California. A family legacy that started with pearls, kept innovating and expanding their specialization in precious stones and fine jewelry. With a team of expert artisans and business professionals, the client has fused classic elegance with modern inspiration, creating some of the world’s most highly regarded and exquisite jewelry.   

Why We Chose Pluto7

Our expertise and solutions aligned clearly with our client’s vision and goals. Perfection and precision are infused in every aspect of their business. The client was looking for somebody who can solve their data challenge with precision, at scale, and at speed. They looked at Pluto7 and Google Cloud as industry experts who can safely migrate their data to a more robust platform so that they can unlock hidden value in their data and improve their decision making. 

Solution

When a business dominates the jewelry market for decades, it has the power to shape customer experiences and innovate faster. Therefore, the need to understand and analyze myriads of data that keep flowing in is increasing exponentially. Carving out an impressively unique design requires a lot of data analysis as creativity needs to match technology. 

Our customer had their entire data on Microsoft Nav 2009, a legacy system. And the problem with legacy systems is that it needs to be updated on a regular basis. As a result, this jewelry manufacturer could not afford to keep their ERP system updated with the latest version. They needed a platform that could support near real-time updates while still being cost-effective. In this case, Google Cloud was the perfect fit. 

Migrating their entire data warehouse in a cost-effective way was a top priority for their IT team. Therefore, Pluto7’s team focused on building a new architecture that can help them achieve the results expected. With lower monthly data volumes, to get the data migration in a cost-effective manner. 

 On top of this, our team of data experts developed the entire ETS system in a pythonic way, where ETL basics were used. The visual representation is an important aspect of unlocking intelligence from data, for which we have custom-built data visualization dashboards on top of their data. 

Results

The entire data was successfully migrated from a legacy system to Google Cloud, a robust and scalable platform. Custom-built data visualization helped this leading American jewelry design house and manufacturer to gain meaningful business insights for taking smart data driven business decisions. 

Industry Retail

Challenges

  • Data on the legacy system with no support from the provider.
  • Difficult to understand tabular real time reports

Results

  • Successful data migration to Google Cloud, a robust and scalable platform
  • Custom-built visual dashboards that helped in making faster precise business decisions

Products Used

  • Cloud Scheduler
  • Compute Engine
  • Google Cloud Storage
  • Google BigQuery
  • Cloud Functions
  • Data Studio

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