Kramp Transforms Business Operations Through Advanced Real-Time Machine Learning Analytics
Challenge
Kramp aimed to enhance decisionmaking and operational efficiency by adopting near real-time analytics, moving from traditional, batchload reliant data warehousing to a cloud-based infrastructure within Google, adopting BigQuery for their e-business platform and analytics.
Challenges with their legacy data ingestion solutions included product maturity, scaleability and high maintenance demands, which compromised data quality and led to the exploration of more reliable alternatives.
Solution
Kramp adopted Striim for its powerful, mature real-time data integration, seamlessly connecting diverse databases like Oracle, Microsoft, and Postgres, to ensure continuous, high-quality data replication essential for forecasting and order management.
Striim’ s platform provided a developer-friendly environment and stability across Kramp’ s data operations. It strengthened business operations, empowering sophisticated machine learning projects and immediate data analysis.
Results
• Boosted customer satisfaction: Instant order status updates increased transparency and significantly reduced customer service interactions.
• Accelerated order processing; cost-savings: Order update automation optimised workflows with minimal latency and decreased customer inquiries for lower operational costs and heightened efficiency.
• Elevated business performance: Access to fresh data improved KPIs like order processing and stock management for superior business outcomes.
• Built trust and reliability: Stable and precise data integration enhanced trust with flawless data transfer accuracy.
“ One of the most notable benefits we’ ve experienced since integrating Striim into our operations has been the significant enhancement in how we communicate with our customers. The real-time updates on order status have not only improved transparency but also helped to reduce the number of customer service calls. This change has streamlined our operations, allowing us to allocate resources more efficiently and improve overall customer satisfaction.”
Oliver Meisch Manager of Business Intelligence, Kramp
Striim’ s comprehensive support and extensive documentation further enabled Kramp to scale and maintain their systems with minimal overhead.
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