Be Proactive.


Discover every defect before your users do.

Challenge :

A large energy company that relies on Maximo to manage its asset management life cycle. They engaged us for their Maximo Optimization Program, which was a multi-million dollar and multi-year program with 3 key challenges: 1) deal with over 500 defects / issues from the initial implementation, 2) improve stakeholder confidence for each monthly release and 3) deliver Asset Downtime Management, Investigations, Linear Assets, Procure2Pay etc. processes on Maximo after their initial go-live implementation

Solution :

Our unique iQEP™ (Integrated Quality Ecosystem Platform) solution offering a holistic and unified strategy for 25+ client projects focusing all aspects of quality. We defined and executed how manual, automated, and system performance testing on Maximo would be performed, along with regression and user acceptance testing. We applied our unique business-process based test automation framework, using HP UFT automated 400+ end-to-end test scenarios sustainably. We implemented the end-to-end unified quality management approach that established a Maximo Quality Ecosystem for all 25+ projects, including Maximo iFix / FixPack upgrades.

Results :

"Having a program-level QA strategy was key in managing changes across projects within the program. Additionally, with an eye on changes occurring within the sustainment environment by the Program, it was possible to manage and avert any unwarranted or unexpected changes".   -- Maximo Optimization Program lookback comment, Cenovus Energy Inc.

Challenge :

Our second case study involves Maximo system performance tuning for the above client. After initial Maximo implementation, many remote field users were complaining about Maximo system being extremely slow: 6 minutes instead of 30 seconds. These complaints were becoming a major roadblock for higher management to enable wider adoption of Maximo system by operational users.

Solution :

Collaborated with business end users, we identified their critical business transactions and created a reality-based Maximo Load Model. Based on this Maximo Load Model, we created re-usable HP LoadRunner scripts utilizing Locations, Assets, Job Plans, Preventive Maintenance, Work Order, and Purchase Order applications. We simulated load tests on the Maximo system with 100 to 400 virtual users, while our expert performance team monitored and tuned at the WebSphere Application Server (Oracle 12c) and also at the network levels.

Results :

Client’s Maximo system performance has improved significantly by tuning all the technical layers incrementally. Before the performance tuning, the workflow transaction from Defect to Work Order application took approximately 6-7 minutes to route at a remote site. After tuning, the transaction was routed in 20 seconds. The number of complaints from remote field users decreased by 60%, and a smooth adoption of Maximo system became a reality.

"Performance Test scripts helped the Maximo support team to benchmark the system performance before and after any major tuning change is deployed".   -- Maximo Technical Support Lead, Cenovus Energy Inc.