LSPS offers powerful tools for process and resource monitoring, including an integrated BIRT engine that provides real-time analytics. These tools allows stakeholders to maintain a full and consistent view of all process behavior at any given instant, or across a time period. Spannin an overview of the general health of a company's business processes to a magnified view of individual process instances, this knowledge allows stakeholders to efficiently react to changing market and business conditions.
There are two separate LSPS interfaces that accomodate different user classes: the BAM dashboard and the Process Management Console.
BAM Dashboard
As the primary access point for business users and owners, the web-based BAM dashboard is tailored to each individual user. Through dynamic widgets it delivers detailed reports that track, analyze, and benchmark the performance of processes, specific and independent, in terms of business metrics and KPIs. For each process goal, the associated KPIs can be displayed, immediately highlighting the costs and benefits of each business objective.
The vast range of information and attributes provided include:
- Ability to see status of any process at any time
- Monitoring activity; pulling reports, graphs, and charts
- Making predicitve data analyses, including simulations
- Viewing resources availability, including skill inventories
- Accessing rich internet application user interfaces
- Enabling collaboration via shared work queues, work lists, calendars, and bulletin boards
- Integration of third party data and analytical tools
Management Console
The Management Console is the adminstrative control interface for monitoring and controlling the ecosystem of executing process instances. The target user is any individual responsible for applications adminstration and operations.
The Console is designed to efficiently manage any number of running instances, from one to several million, with smart search allowing any instance or group of instances to be identified according to both simple and complex matching criteria. Process instance state can be inspected and controlled, with comprehensive security rights and authorizations controlling which individual or role can view and/or alter any aspect.
Features
- View, debug, and change any aspect of process state relating to any process instance
- Color-coded views of executing process state
- Execution history trace for every process instance with transactional rollback
- Management of user security rights and role assignments
- Tracking of all process-relevant resources
Three Management Console variants are available via Eclipse, Web, and Command Line. Though the Eclipse and Web View have the same functionality, the Eclipse version is also used during the design and simulation stage and is integrated with the development environment. The Web View is primarily for the business owner and is used once a application is deployed to production. The Command Line view is for the convenience of the IT administrator.
The following is a screenshot of the Eclipse Management Console perspective.
Active Analytics
LSPS provides process intelligence and real-time business intelligence in a context that allows business stakeholders to quickly navigate large volumes of data resulting from process execution. The target is to ensure that complex data can be analyzed rapidly and continuously to provide the basis for reactive and proactive decisions.
Process Intelligence includes information such as business transactions details (volume, timeliness), service agreements (fulfillment status), and performance results. For processes that are at risk, warnings are provided, responses are monitored, and alerts may be escalated. Performance targets are evaluated by looking at both current and historical data.
Real-Time Business Intelligence captures and anaylzes current business events. LSPS pulls information from a range of sources, including database management systems, applications, sensor, web-based news feeds, and social networking sites, to list a few. This information is used to calculate non-process related KPIs and to find patterns demonstrating business risks and opportunities.
Decision Automation is the ability for certain scenarios, including risk, to trigger automatic responses from a process. This, in turn, can include invoking separate internal or external processes, applications, or rule engines.
On-Demand Analytics
On-demand analytics may be triggered at any time by the business user - during execution or offline. This not only allows ad-hoc analysis of performance, but also an immediate update of business intelligence. Stored data can be pulled at any time for analysis. For example, when a process requires web based forms, the forms can be imbedded with process relevant analytics that the business user or owner may call upon for future review.
Business value chains can be spread across countries - amongst internal divisions and external vendors. Despite this complexity, LSPS enables business owners to view vital performance analytics routinely and on-demand to ensure business is performing in the most efficient and effective manner.
