23 Nov Optimal information management with iBPMS
In an organization that has reached a certain level of Process Management maturity, the information managed by an iBPM suite is superior to all other information previously managed by any other system. Furthermore, it provides all users with the exact information they need in real time.
Gartner, the world’s leading information technology research and advisory firm, coined the term iBPMS for intelligent Business Process Management. It is the natural evolution of BPMS systems.
When day-to-day work is performed using an iBPMS, each process automatically registers all the information generated throughout the process flow, including all information input manually, generated automatically by the system and from external applications, sensors, other devices and KPIs integrated with the software in order to analyze the performance of the processes and empower decision-making.
Most BPMS purely focus on managing the process life-cycle, whereas AuraQuantic is an Integral Business Process Management Platform which provides a complete and integrated vision of company activity.
Thus, while other BPMS offer process analysis, AuraQuantic offers complete analysis of all company management, including the processes. This is because AuraQuantic manages the majority of the activities performed in the company and therefore manages more information.
Indeed, no other management system can operate with:
- Structured information. In addition to managing all the data in company databases, it manages data stored in external databases, i.e., data from all the applications used by the company: ERP, Legacy, etc., (which have been integrated in the Suite) and even data derived from integration with external devices, artifacts (machinery, sensors, etc.) used by the company or even captured from the internet. It specifically includes:
- Operational Data, comprised of all fields of management and information that have been created, modified and deleted in all processes running in day-to-day business, as well as KPIs (Key Performance Indicators) that record strategic values to analyze yields and other data.
- Business Rules. Internal and external or mandatory regulations, strategies and procedures, managed automatically.
- User-activity data, including technical and operational data.
- Technical data: Provides all kinds of analysis of the activity of each user (employee or external) including statistics on work, access, errors, etc., such as login and logout and pages accessed by each user, displaying the name, browser version, IP, domain, etc., and statistics per hour, day, week or month containing all pages visited, images downloaded, bandwidth consumed, search engines, phrases and keywords used, etc.
- Operational data of people, roles and groups involved in the processes and workflow open tasks (non-structured processes) about times, consumption, expected and actual costs, etc.
- Non-structured information. All types of documents that have been created internally or provided by external parties (customers, suppliers, etc.), archived, consulted, signed or deleted. As well as any digital content, textual, calculation and inference business rules, videos, audios, images, etc.
- Related information. Management elements (employees, accounts, projects, etc.) providing many possibilities to meet the needs of most scenarios, through 1: 1, 1: N and N: N networks, as well as processes and documents.
To turn this wealth of information into useful and relevant knowledge for the entity, the system records and automatically organizes data according to the determined structure, so that the suites Intelligence tools: BAM (Business Activity Monitoring), Dashboard, BI (Business Intelligence), reports, etc., also automate the monitoring, control and analysis of all the facts and data in the organization.
Thus, all information is centralized in the comprehensive platform, providing a single and holistic view of each and every one of the management elements, from all integrated applications and databases, making external management tools unnecessary. In reality, additional applications such as MDM (Master Data Management) CDI (Customer Data Integration) and MIS (Multichannel Integrated System) complicate data management and analysis.