Marketing analytics gathers data from across all marketing channels and tells you how your marketing initiatives are really performing. AltaSigma takes into account the whole marketing picture and removes marketing silos to better understand the complete customer journey. As a result you will make smarter product offer decisions that greatly improve overall propensity to respond. In a constant process of testing and learning you will understand what was working and what was not, by

• Understanding past and present to identify channel deficiencies
• Adjusting marketing strategies and tactics as needed
• Optimizing marketing efforts, investments and processes

By aligning your channels with the customer journey and analyzing individual as well as overall performance, AltaSigma helps you to deliver the right offer through the right communication channel to the right customer at the right time.

Increasing regulatory pressures and a shifting competitive landscape will drive organizations to assess and control risk accurately for both new customers and within existing customer portfolios by understanding the specific risk characteristics that lead to delinquency, default and bad debt. AltaSigma helps you to build, validate and deploy better risk models using advanced predictive analytics capabilities for individualized, fine-tuned, and always up-to-date risk decisions.

• Process data in an autopilot mode for both feature and target engineering
• Display of feature dependencies
• Scorecard methodology for all types of customer lending services
• Easy interpretability of risk decisions with reason codes

• Embedded learning loop - automated adaption and retraining of risk models

• Auto-Archiving of updated models to satisfy regulatory disclosures of risk decisions
• Quick risk model deployments for analytical powered real-time applications

AltaSigma helps you build better-informed lending decisions to mitigate risk and optimize opportunities. With complete transparency into the lifecycle of every model, risk managers can more accurately manage these models and provide the necessary information for regulatory compliance.

Network & Graph Analytics is a rapidly developing area of interest where a combination of graph-theoretic, statistical, and machine learning techniques are applied to model, store, retrieve, and performance analyses on graph-structured data. AltaSigma’s algorithms enable analysts to understand the topology of a network and how it changes in different conditions, find paths between pairs of entities that satisfy different constraints, identify clusters or closely interacting subgroups inside a graph, or find sub-networks that are similar to a given pattern. AltaSigma provides comprehensive capabilities to analyse networks and to implement Knowledge Graphs like:

• Path Analysis to determine shortest distances or optimal ways between entities in a network
• Connectivity Analysis to determine weaknesses in a network and to compare network connectivity between different networks
• Community Analysis to identify clusters of similar entities, to explore network neighborhoods and to monitor network dynamics
• Centrality Analysis to identify relevancy and influencing objects in networks

With AltaSigma you can easily analyze very large, extremely varied data sets of network data at speed, at scale, and an openness that is required to meet real world needs. All relevant functionalities are available to develop and operate complex Knowledge Graphs. We kickstart your network analysis initiatives no matter if you want to establish an enterprise-wide knowledge management, detect financial crimes, spotting fraud, preventing crime, apply influencer analysis in social networks, identify weaknesses in power grids, water grids and transportation networks or perform route optimizations for traffic, airlines or logistics.