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Case Study

Amusement Park and Resort Company Gets Greater Data Performance Visibility with Splunk Dashboards

Customer: Well Known Amusement Park and Resort Company 

Industry: Entertainment

Business Pain: With a 9TB License, the customer was using Splunk to monitor 200+ Tier 1 and Tier 2 applications ranging from POS to theme park operations. They were ingesting 11 TB of data per day on average. To expand the Splunk footprint in the organization, they wanted to onboard almost 200 more applications. Before going forward with purchasing more licenses, they first wanted to right-size their environment and see if they were ingesting responsibly. They also wanted to identify any issues with data onboarding and ingestion, which could translate into greater license usage.

How we fixed it: After a thorough analysis of the environment, multiple dashboards were crafted around license utilization and audit, data onboarding and duplication, performance issues, and auditing searches.

Technology Involved: Splunk Audits and Dashboard Building

The AWS team at TekStream deployed AI/ML services to automate capture and validate form data using a customized Intelligent Document Processing engine. Forms are aligned and OCR operations on text, form data, table information, signature detection and keyvaluepair data extraction are performed. The full form package and JSON of all relative data are sent to Salesforce, where a custom interface highlights indicators of questionable data using geometry location tags and artificial intelligence confidence on the accuracy of collected values.
AWS

AI/ML Cures Manual Processing Pains

Working through TekStream’s proven in-depth discovery and needs assessment process, a suite of AWS tools that effectively addressed SGK’s issues was identified. TekStream leveraged AWS to create an Intelligent Document Processing (IDP) solution that reviews printing proofs, extracts and stores key information and recognizes and performs language translation as needed.
AWS

SGK Document Processing Solution

TekStream’s assessment of Main Line Health’s MDR system immediately identified Splunk best practices to implement. Documentation of the new application architecture was created to improve visibility and put Main Line Health in control of its MDR system and Splunk ecosystem.
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