Unlocking Agro Insights With SAP Datasphere

Unlocking Agro Insights with SAP Datasphere

Overview

An APAC-based leading global agricultural trading firm manages large volumes of data from diverse sources. With multi-market presence, the company needed a real-time data analytics solution to improve business metric understanding, sales forecasting, and profitability insights.

Even though they leveraged SAP S/4HANA to integrate data from multiple non-SAP sources, including Google BigQuery, Amazon Redshift, and other third-party databases, the process still caused a bottleneck. The lack of a unified data ecosystem resulted in fragmented decision-making, slow reporting cycles, and more.

Challenges

Seamless Integration Across SAP and Beyond

The client faced several operational challenges including:

1. Disjointed Data Sources

    • Data was spread across SAP S/4HANA and multiple non-SAP systems, including Google BigQuery, Amazon Redshift, and flat files from file servers.
    • In the absence of a unified data platform, users couldn’t access, analyze, and utilize information efficiently.

2. Manual Reporting

    • Extensive manual intervention was involved in compiling Sales and business reports.
    • Delayed access to real-time, data-driven insights, lead to long-spanning strategy execution.

3. Scalability and Data Governance

    • The existing architecture was not scalable, which lead to limited support for future data growth and analytics.
    • There were concerns about data duplication, security, and governance due to disparate data sources.

Solution: An Integrated Data Ecosystem with SAP Datasphere

To address these issues, we created a comprehensive cloud-based data integration solution driven by SAP Datasphere on SAP BTP. This solution offered seamless integration between SAP and non-SAP data sources, reducing data silos and speeding up analytical workflows.

Key Solution Components

1. Federated Data Access using Google BigQuery

    • Rather than replicating or duplicating data, we implemented a federated architecture that allows SAP Datasphere to access data in Google BigQuery in real time via virtual tables.
    • With this approach, the data remained in its original source system, leading to better efficiency and lesser storage costs.

2. Improved Data Integration

SAP Datasphere was used to integrate SAP S/4HANA with non-SAP data sources, like:

    • Google BigQuery
    • Amazon Redshift
    • Flat files from local file servers
    • Industry-specific solutions like Nitea

This resulted in a single, unified analytics platform that facilitated decision-making.

3. Automated Data Workflows

    • The client used SAP Analytics Cloud (SAC) with SAP BTP to automate data modelling and visualisation.
    • By connecting structured and unstructured data sources, the organisation was able to perform complicated analytics queries with little manual work.

Business Impact & Results

1. Faster Report Generation

    • Reports that previously took 2–3 days are now generated within minutes (approximately 99% faster), enabling faster strategic decisions.

2. Real-Time Sales-Related Insights

    • The firm could access up-to-the-minute sales data across regions, which enhanced forecasting accuracy.
    • They also opened to a holistic view of key business metrics, improving agility in responding to market changes.

3. Better Data Governance & Compliance

    • SAP Datasphere implementation and BTP standardise data security and governance across all platforms, assuring regulatory compliance.

4. Future Business Growth

    • The company now has a scalable, future-ready data strategy, which backs the integration of additional data sources and advanced analytics capabilities including AI-driven insights.

Technology Stack

    • SAP Datasphere – Federated data access integration
    • SAP S/4HANA – Core business data processing
    • SAP BTP (Business Technology Platform) – Integrated analytics framework
    • Google BigQuery Cloud Storage – Non-SAP data storage processing
    • Amazon Redshift – Additional data warehousing
    • SAP Analytics Cloud (SAC) – Real-time analytics  visualization

Wrapping Up

By integrating SAP Datasphere on SAP BTP, the agricultural trading organisation successfully altered its data landscape, resulting in real-time insights, faster decision-making, and better profitability.

This demonstrates how SAP  intelligent data solutions can help organisations modernise analytics, reduce inefficiencies, and drive success in a competitive market.

Want to integrate your data with SAP Datasphere? Get in touch today!

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