iControl for Splunk

Retailer Enhances Inventory Management

A brick-and-mortar retailer managed in-store inventory using a business model used that involved both electronic and human components. While the IT monitoring was sophisticated, the business process was not monitored. This resulted in a few issues.

• The end of day inventory file was not always sent on time.
• There were frequent data issues resulting in the incorrect order being placed.
• End-of-day orders did not match the plan, resulting in excessive inventory.

The retailer started using iControl to stabilize the inventory management system.

• Costs were reduced because excess product was not ordered.
• Revenue was increased because new products were in stock and available to be sold.

Bank Enhances Payments Process

A large European bank was struggling with business process problems caused by technical outages. En​d-of-day payment deadlines were frequently missed, "stuck payments" required manual intervention, and the team spent excessive time resolving technical and business process issues.

The bank implemented iControl to monitor the following high-level business process.

With iControl, the bank was able to identify process flow issues in near-real time, enabling the business to immediately resolve issues (instead of waiting hours or days). Additionally, the bank identified the root cause of common problems and implemented permanent solutions, resulting in productivity improvements and cost reductions.

• Identify problems with the business process
• Identify root cause of frequently reoccurring problems that lead to business process inefficiencies
• Improve productivity and reduce costs by fixing reoccurring hidden issues

Major Oil Company Solves Performance Monitoring

The trading desk at a large oil company had no visibility into the mechanics of their trading process. Each order interacted with more than 60 different components, ranging from pricing confirmation to order version verification. Multiple versions of the same trade could be traversing through the system at any one time. Specific SLA’s were mandated for various steps in the trading process.

All of the IT systems were monitored by traditional solutions such as Splunk and AppDynamics, but there was no visibility into how the trading process was operating or if the SLAs were met.

The oil company implemented business process monitoring on top of Splunk to understand how the trading orders were flowing through the trading system.