Client Overview
Grow Indigo is redefining the future of agriculture and promoting sustainable farming. They create new and innovative opportunities for farmers, partners and employees. With a prominent team of agronomists, scientists and farmers, our client addresses complex challenges in the agriculture sector and strives to provide biological and climate solutions. Our experts at Kasmo helped Grow Indigo by providing them with an exceptional data migration service with Snowflake. But first, let’s look at some of the challenges they were encountering:
Business Challenges:
Grow Indigo had been storing data in these four different source systems:
- SQL Server
- MongoDB
- PostgreSQL
- SAP
These four different data sources were creating several challenges for our client:
Absence of a Centralized Data Platform
They lacked a centralized data platform which created significant hurdles in their business operations. Since the client was using four different types of data source systems, it resulted in fragmented information repositories. Without a unified data platform, consolidating data into a single source of truth was difficult. Our client also lacked a BI – consumption layer which hindered them from getting detailed insights. They struggled to make strategic decisions and reporting, as all their data was scattered across multiple systems.
Data Silos
Data silos emerge when data remains isolated within different systems. These silos hindered seamless data flow across the organization, which led to incomplete data visualization. Our client struggled to collaborate effectively and faced challenges in gaining a holistic view of operations.
Manual Data Export and Loading
Previously, our client was exporting data from source systems into CSV files and then loading them into Power BI manually, which resulted in incomplete data for reporting, affecting their decision-making.
Difficulty in Decision-Making
Unreliable data hindered the client from conducting accurate analysis, leading to uncertain and flawed decisions.
Low Levels of Data Democratization
Restricted data access limited insights and innovation, which prevented the client from using data for informed decision-making.
Absence of Robust Data Governance
Lack of clear policies and procedures for data management led the client to face inconsistencies in reports, errors, and security risks.
Data Quality Issues
Errors, inaccuracies, and missing data compromised the reliability of analyses and hindered effective decision-making for the client.
Kasmo’s Solutions:
However, these challenges were promptly solved by Kasmo by providing them with migration to Snowflake Data Cloud. Let’s take a detailed look at how Kasmo implemented their own solution – Data Load Accelerator, which was the core engine that drove the migration of data from different source systems into Snowflake. Our framework can also connect to any on-premises database or any cloud, making it flexible to use.
Data load accelerator is a low-cost, simplified, low-code ELT/ETL framework on top for effortless ELT pipelines. With this framework, our team of experts spends less time creating and configuring ETL/ELT jobs with minimal code required providing high scalability, flexibility, and security to data integration projects.
Kasmo has developed a reusable ELT (Extract, Load, Transform) framework, streamlining data movement from various sources into Snowflake.
SAP Data Migration to Snowflake
Integrating SAP with Snowflake was a crucial aspect of the project. By leveraging OData services and Kasmo’s Data Load Accelerator Framework, we seamlessly migrated SAP tables and recreated SAP reports as optimized views in Snowflake. This ensured efficient data transfer and enhanced reporting capabilities within the Snowflake ecosystem.
On top of these solutions here are some more ways Kasmo helped the client:
- Implemented data quality modules to address data quality issues and standardize data across systems.
- Enabled automated data pipelines for end-to-end data ingestion and transformations.
- Eliminated manual data ingestion by enabling live connections between the data platform and Power BI reports.
- Designed scalable and high-performance data models.
- Enabled a 360-degree view of data for comprehensive insights.
- Enabled complete data security and governance using Snowflake’s inbuilt features.
Key Results Achieved:
- Eliminated data siloes enabling a unified data platform.
- Fully automated reporting solution with 70% performance improvement.
- Simplified decision-making with trusted, real-time data accessible to the business.
- Increased data democratization by 40%, empowering stakeholders with easier access to data.
- Eliminated the need for maintaining legacy systems by consolidating data infrastructure.
