Mobileum Integrated Risk Management Software Certified

One of the biggest challenges in business monitoring is the ability to integrate all the different data sources seamlessly. Mobileum's Active Intelligence is the leading platform for telecommunications companies worldwide to integrate data in a timely, cost-effective manner across multiple systems, unlocking the full business potential of enterprise data and accelerating their risk management and continuous control monitoring (CCM) programs. Active Intelligence's next-generation graphical data ingestion process supports generalized access to all types of data including databases, files, machine and application data, free text, and event streams, to create a complete picture of the business and drive actionable insights. Following a data fabric architecture, we can address the extreme levels of diversity, distribution, scale, and complexity in telecommunications data assets that are adding tremendous complexity to the overall data integration and data management design.

Business process owners who don’t apply predictive metrics to cross boundary business processes leave their organizations vulnerable to risk and lack the ability to execute their business strategies. To avoid this, AIP delivers a set of tools that provide augmented monitoring and measuring capabilities, including a visual KPI designer, a Business Sensor tool that improves KPI awareness, and Balanced Scorecards that align business activities to the vision and strategy of the organization. AIP’s smart notifications include automatic escalation paths and configurable priority scores for increased team efficiency, enabling corrective actions to be executed as soon as vulnerabilities are identified, thus minimizing potential losses. Our combination of data and analytics utilizes container- or microservices-based architecture and data fabric to assemble flexible, modular, reusable, and consumer-friendly data and analytics capabilities on our telecom products.

Ensuring the accuracy of data is a core function of AIP Risk Management, helping to increase efficiency and empower users. AIP delivers a collection of automated auditing procedures that enable CSPs to define, analyse, execute, monitor explicitly, and maintain a wide variety of business logic, collectively referred to as “rules”. The centralized handling of validations from multiple sources enables the full traceability from the events' data up through alarm generation. By integrating Artificial Intelligence (AI) into your risk management strategy, Active Intelligence allows you to save time, boost revenue, identify risks and fraud, and add value to your customers. Knowable unknowns can be addressed using trained models that are able to make accurate predictions on non-training data. Active Intelligence Machine Learning Workbench allows you to include unknowable known as part of risk management addressable strategy, for a future-proof strategy. 

Time-to-resolution metrics help organizations track the average amount of time spent resolving issues. AIP’s adaptive case management (ACM) tool is specifically designed to reduce time to resolution. This is accomplished by enabling the end user to understand, design, and maintain a set of workflows optimized to handle specific case types. ACM automatically prepares and analyses data before presenting the case to the analyst, registers all case activity and history in the case timeline, and defines SLAs and escalation paths. Through ACM, analysts are able to monitor process performance from a technical and business perspective, gathering deep insights from cases for efficient issue resolution.

The risk catalog tool consists of an introductory set of stages for recording the identified risks and a map of risks. Hence, integration of into the Model-Risk framework can lead to useful synergies with respect to ensuring regulatory compliance.  AIP risk catalogue and continuous control monitoring based on anomaly detection is built in so that oversight is constant and concurrent with rule-based development activities and consistent across the CSP. In this approach, standards, testing, and controls are embedded into various stages of the analytics model’s life cycle, from development to deployment and use. Embedding appropriate controls directly into the development and provisioning routines of business and data-science teams is especially helpful in industries without well-established analytics development teams and risk managers who conduct an independent review of analytics or manage associated risk.

Based on Mobileum’s collaboration with its customers, the AIP platform establishes a new benchmark in terms of User Experience. AIP provides an intuitive and easy-to-use interface with multiple graphical components including charts, diagrams, maps, and infographics, among others, designed specifically for increased productivity. Smart Contents technology effectively allows users to build their dashboards and analysis perspectives through easy-to-use drag-and-drop features, saving a significant amount of time that can be invested in actual issue resolution. AIP also enables users to create and share rich and insightful reports, thus guaranteeing a continuous business auditing process.