About the Client
Our client is a leading innovator in the agriculture and biotechnology sector, focused on improving farmers’ lives through the power of science. With a specialization in research and development, production, processing, and marketing of high-quality seeds, the company has been a pioneer in hybrid and open-pollinated seed technology. They include a diverse range of crops like cotton, vegetables, and field crops. Our client combines modern technology and intensive research to provide superior seed varieties and AgriTech solutions to gain better yields. With the vision to enhance farmer livelihoods, the organization expands its operations globally, transforming farming communities and contributing to a more food-secure future.
Business Challenges
Our client faced several challenges in accessing and analyzing business data effectively. They are:
Extracting and Analyzing SAP data
The client highly relied on SAP as their primary ERP system. Accessing accurate reports from it was a complex and time-consuming task. The existing SAP setup made it difficult to extract actionable insights and slow down decision-making.
Manual Reporting Process
The client has standard reports in SAP, and these reports were downloaded onto Excel sheets for further analysis. After performing the transformation and calculations, they generated MIS (Management Information System) and MRM (Management Review Meeting) reports. The process was done manually, which consumed significant time and effort, leading to less productivity and efficiency.
Complex SAP Data Structure
Replicating and building robust, scalable data models for analytics from the SAP standard reports is a time-intensive process, requiring significant technical expertise and manual effort due to the design of underlying tables and complex ABAP code.
Limited Data Integration and Visibility
Our client also faced data silos issues that restricted a unified business view. SAP integration with external systems was difficult and prevented comprehensive analysis and collaboration across business units.
Kasmo’s Solution
To overcome the client’s reporting and data management challenges, Kasmo implemented a complex solution to extract reports from SAP and gain solid analysis from it. The key steps involved were:
Seamless SAP Integration to Snowflake
Our experts helped the client migrate their historical and incremental data, including tables and columns into Snowflake. Our Data Load Accelerator Framework helped to efficiently migrate complex SAP tables into Snowflake. This ensured a smooth data transfer process and eliminated manual dependencies.
Optimized Report Reconstruction
Since SAP reports could not be directly brought into Snowflake, our experts optimized the process to migrate to all tables related to the standard reports. This helped the client to gain optimized views, ensure performance, and accuracy.
Data Mapping in Snowflake
After SAP data migration to Snowflake, we mapped the relationships between tables and rebuilt the reporting logic. This ensured efficient data transfer and enhanced reporting capabilities within the Snowflake ecosystem.
Report Development
Kasmo developed MIS and MRM reports directly within Snowflake, making them readily available to internal stakeholders. Additionally, using Excel Connector, the client teams could easily download and work with reports while improving efficiency.
Scalable and High-Performance Models
The solution included the design of optimized, scalable, and high-performance data models. They could handle growing data volumes and future reporting needs without compromising in speed or quality. Migrating SAP data to Snowflake, client gained greater flexibility, scalability, and cost efficiency.
Data Security and Governance
Using Snowflake’s inbuilt security and governance features, we also considered data protection, access control, and compliance across all stages of the migration and reporting lifecycle.
Phase-wise Implementation
The SAP integration was executed in a phase-wise manner. Initially, we implemented it for one entity. The same approach will be scaled across 11 other entities, ensuring consistency, reduced risk, and efficiency at an enterprise level.
Key Results Achieved
Through our implemented solution, the client achieved significant improvements in reporting efficiency, data accessibility, and business performance:
Faster report generation: Monthly reports that once took hours to download, now the client can do it within seconds, significantly improving turnaround time.
Enhanced reporting efficiency: Streamlined and automated reporting processes improved efficiency by nearly 70%.
Accelerated insights: Time to gain valuable insights improved by 80%, enabling faster and more informed decision-making.
Process automation: A fully automated, high-performing reporting solution replaces manual workflows, ensuring consistency and reliability.
Smarter decision-making: The client simplified the decision-making process with real-time, unified, and trusted data.
Faster data access: Data democratization allows stakeholders to easily explore and analyze data through Snowflake and Excel connectors without technical dependencies.
Modernized infrastructure: Consolidating data within Snowflake eliminated reliance on legacy systems, reducing maintenance efforts and operational costs.
