Our modern data lakehouse, built on Microsoft Fabric, enables customers to manage and analyze structured and unstructured data. By consolidating data from multiple sources into a single repository, customers can ensure data integrity and accessibility while enhancing decision-making processes. The data lakehouse’s advanced architecture supports data ingestion and processing, allowing for more agile and responsive business operations. This provides a scalable solution accommodating customers’ growing data needs and leads to improved insights, efficiency, and a competitive edge in the market.

Lumify360 empowers customers to seamlessly combine internal and external data sources into a unified view, breaking down data silos and enhancing data consistency. This ensures that all relevant data is readily available for analysis, leading to more accurate and comprehensive insights. Customers can reduce manual data handling errors and streamline workflows by leveraging automated data integration processes. This feature supports various data formats and sources, including real-time data feeds, enabling customers to stay updated with the latest information. The result is a more informed decision-making process, improved operational efficiency, and the ability to quickly respond to market changes.

Connect to any other third-party platform or data source, such as Databricks, Snowflake, Azure, SharePoint, Google Docs, AWS, business data sets, and more.

The embedded Power BI feature provides powerful data visualization and reporting tools directly within Lumify360’s analytics platform. This integration enables customers to create interactive and insightful dashboards without needing separate applications. Power BI’s intuitive interface makes it easy to explore data, identify trends, and share findings across the organization. Customers can easily embed and refresh visualizations in their Office365 applications, such as PowerPoint and Microsoft Word. With Kaia, 360factors’ AI companion, customers can query their reports in natural language without relying on subject matter experts or data analysts.

Our KPI enrichment feature combines internal bank data with external datasets, providing a more holistic view of performance metrics. This integration empowers customers to benchmark their KPIs against industry standards, economic indicators, and market trends, leading to more strategic insights. Enriching KPIs with external data can reveal underlying factors affecting performance and identify new growth opportunities or potential risks. This comprehensive approach enhances the accuracy and relevance of KPIs, enabling banks to make more informed decisions, optimize operations, and achieve their strategic goals more effectively.

The configurable workflows engine feature offers customers the ability to assign and take action on KPI analysis, trends, and exceptions and ensure timely offline data collection. This capability allows for the automation of routine tasks, reducing the risk of human error and improving operational efficiency. Users can take action quickly in response to changing business conditions and receive notifications when KPIs are approaching thresholds. The configurable workflows also facilitate better collaboration across departments, as processes can be standardized and monitored for continuous improvement.

Our KRI-to-KPI mapping feature provides a robust framework for linking key risk indicators (KRIs) to key performance indicators (KPIs), offering a comprehensive view of a customer’s risk and performance landscape. Lumify360 also offers functionality for risk appetite statements linked to KRIs. Customers can also load their risk library hierarchy structure (risk categories) and link KRIs to those risk categories. To tie it all together, customers can map KRIs to risks, KPIs, goals, and objectives.

This mapping helps identify how potential risks impact performance metrics, enabling proactive risk management and strategic planning. By understanding the correlation between risks and performance, banks can implement targeted mitigation strategies and optimize resource allocation. This feature enhances the ability to anticipate and manage risks effectively, ultimately leading to more stable and predictable performance outcomes.

Achieving SOC 2, Type II compliance demonstrates our commitment to data security, availability, processing integrity, confidentiality, and privacy. This feature assures customers that our software meets the stringent requirements necessary to safeguard sensitive data. SOC 2 compliance not only helps in meeting regulatory standards but also builds trust with customers and stakeholders by ensuring that their data is handled with the highest level of security and integrity. This compliance is critical for protecting against data breaches, ensuring business continuity, and maintaining customers’ reputations in an increasingly regulated and security-conscious environment.