Rescources>Case Study
Optimizing Data Strategies with SAP Data Warehouse Cloud for a Leading Fiber-Based Packaging Company
Customer Profile
A global leader in fiber-based packaging with a diverse product portfolio serving multiple industries, an annual revenue surpassing 4.5 billion dollars, and a commitment to sustainability and innovation.
Challenges
Operating globally across multiple facilities, the company faced difficulties consolidating and analyzing large volumes of data from disparate systems. Their existing on-premise data infrastructure consisted of fragmented and isolated databases and analytical tools that were no longer adequate for the organization’s growing data requirements.
Specifically, the limitations of their legacy systems led to the following pain points:
- Processing Latency: Batch-oriented data processing caused significant lags between data collection and analysis, sometimes up to weeks. This prevented access to real-time insights.
- Analytics Silos: With no unified data platform, different sites and departments relied on their own analytical tools and dashboards. This resulted in inconsistent and conflicting reports.
- Lack of Scalability: The legacy systems were not built to handle exponentially increasing data volumes cost-effectively. This constrained the company’s ability to incorporate new data sources.
- Agility & Innovation: Slow and disjointed data flows reduced the organization’s ability to respond swiftly to changing market conditions and new opportunities.
The outdated systems were no longer adequate in providing the comprehensive, timely data insights required in today’s highly competitive global landscape. The company needed a modern analytics solution to connect disparate data sources, accelerate insights, and enable data-driven innovation.
Solution
SAP Data Warehouse Cloud was adopted for harmonizing all enterprise data. This provided an enterprise-scale cloud data warehousing solution serving as a foundation for all analytics and reporting needs.
Key capabilities of their new data platform included:
- Consolidated Data Foundation: SAP Data Warehouse Cloud aggregated structured and unstructured data from across the company’s global operations, including multiple ERP systems, manufacturing sensors, logistics data, and third party sources. This created a single source of truth.
- Cloud Scalability: The solution leveraged the elastic scalability of the cloud to efficiently store and process exponentially growing volumes of data. This removed constraints on data capacity and enabled quick expansion.
- Accelerated Performance: By deploying SAP HANA Cloud, the company benefited from in-memory computing for faster data processing. Near real-time analytics reduced time-to-insight from weeks to seconds.
- Business-Ready Insights: With embedded data visualization through SAP Analytics Cloud, business users were equipped with self-service BI tools to create customized dashboards relevant to their roles.
With SAP Data Warehouse Cloud, the company gained an agile, high-performance data management architecture to break down data silos and deliver actionable insights at scale. This formed the analytics backbone for their digital transformation.
Outcome
The implementation of SAP Data Warehouse Cloud transformed the company’s data and analytics capabilities, delivering impressive measurable results:
- 68% faster insights with data processing times reduced from multi-week batches to near real-time.
- $ 18 million in additional cost savings uncovered through enhanced spend analytics.
- 2 days to create new reports, down from 2-3 weeks previously.
- 24/7 analytics availability empowered users with self-service access to insights.
Increased adoption of BI dashboards, with over 76% of business users leveraging BI tools up from 38% earlier.
With measurable gains across key metrics, the modernized data architecture enabled more nimble operations, drove significant business value, and provided a competitive edge – fulfilling the company’s digital transformation objectives.
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