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Modern Data Warehousing and Business Intelligence

Modern Data Warehousing and Business Intelligence

Multicompany with roots in food supply needed a way to create a data-driven culture within the enterprise, requiring a way to store and utilize their customer, finance, distribution and manufacturing data to make better business decisions.  

Client: A global multicompany known for being one of the largest integrated growers, shippers and packers of multiple fruits, nuts, wines and more. 

Problem: The client was looking to harness the data that they had collected to make better decisions. They were specifically looking to create reports and dashboards to support the Financial, Distribution and Manufacturing divisions. In addition they were looking to find Key Performance Indicators (KPIs) in these business processes to manage their operations efficiently. The client laid out the business objectives as follows:

  1. Nurture a data culture at the client’s enterprise by promoting data-driven decision making, employing data analytics and BI to find actionable insights and future opportunities.
  2. Provide enterprise level, interactive BI reports & dashboards for process areas like Accounting to Reporting, Forecast to Plan, Plan to Procure, Procure to Pay, Order to Cash and more

VT’s solution: To utilize the data gathered by the client, we first needed to build a data warehouse for easy access of data, for which we used Snowflake’s Cloud Data Warehouse. To add structure to the data, we built an automated data ingestion and loading system using Informatica Cloud. After establishing the data source, we created a BI and analytics system, to run data models to find the KPIs for the client and create modern BI reports and dashboards to provide insights and help make data-driven business decisions. 

Key Points: 

  • Achieved client’s business objective by providing the base to build a data-driven culture. By establishing a data warehouse and BI system, we provided the tools necessary for gaining and using data insights to make business decisions.
  • Built a Data Warehouse to allow easy access to data, establishing a single source for all data needs. 
  • Created BI and Analytics system to provide enterprise level, interactive BI reports and dashboards for the various departments in the client's organization.  

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