Analyze large and complex datasets
Large datasets can be explored with the context needed to identify patterns, anomalies, events, and trends—and drill into the underlying data to understand what is driving them.
From fragmented data to explainable insight
Q-Sensei provides Data Analysts with a managed environment for exploring complex data across systems. Connected data, context, relationships, and AI-assisted analysis help discover what matters and understand the evidence behind it.
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Proactive intelligence
The AI Data Engine continuously analyzes information to surface relevant patterns, anomalies, trends, outliers, and significant changes. It applies statistical, mathematical, logical, and time-series analysis to reveal what matters.
Data Analysts can explore these findings to understand their significance, investigate what is changing, and determine what to examine next.
Follow the evidence behind every result
Whether starting with a question or following a finding surfaced by the AI Data Engine, Data Analysts can explore the underlying data, context, and relationships to understand what matters and validate their analysis.
Connect data across systems
Data Analysts can explore entities, events, and relationships across systems to understand how activity connects and analyze information in context.
Investigate and validate results
Findings can be examined and traced to their supporting data, with the evidence needed to validate the analysis readily available.
A clear foundation for analysis
From fragmented data to connected analysis
The AI Data Engine provides a consistent foundation for analysis across data from different systems, continuously keeping information prepared, connected, and current. Data Analysts can work across complex and changing information without having to reconstruct the analytical context each time.
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Context that carries across the analysis
The AI Data Engine maintains the context surrounding data, keeping entities, events, attributes, and their relationships connected as Data Analysts explore and investigate information.
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The AI Data Engine provides AI with the data, context, and relationships behind the analysis. Data Analysts can use Q-Sensei models, third-party models, or customer-provided models within the same environment, with AI grounded in the information available to them.
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A versatile approach to data analysis
Find what drives operational performance
Operational data across applications, transactions, logs, and events can reveal the factors influencing key performance indicators.
By investigating patterns, anomalies, and relationships across systems, Data Analysts can assess which factors have the greatest impact on performance and where improvements may be possible.
Explore customer journeys across systems
Customer interactions, transactions, product usage, support activity, and other signals can reveal how customers engage across touchpoints and systems.
Changes over time and relationships between activities help Data Analysts interpret customer behavior, identify patterns across cohorts, and gain a clearer view of the customer experience.
Explain business events with connected evidence
Data across systems, entities, and transactions can reveal the context behind significant business events.
Data Analysts can trace related activity and dependencies, investigate contributing factors, and follow the evidence needed to explain what happened.
A managed environment with flexible architecture
The AI Data Engine gives you flexibility over configuration, while Q-Sensei manages the service and complexity.
Choose the models that fit your needs
Choose Q-Sensei models, third-party models, or your own models to run within the same environment. The AI Data Engine provides the models with the data, context, and integration needed to use them effectively.
Choose how you work
Work through the native interface with visual analytics and interactive data exploration, or integrate the AI Data Engine’s capabilities into your existing applications, services, and workflows using APIs.
Choose where it runs
Select Q-Sensei's cloud environment, your own infrastructure, or a supported cloud environment. Q-Sensei manages the service across deployment options, providing the same core capabilities wherever it runs.
Define your governance model
Define the permissions, policies, and access controls that govern your data and analytical capabilities. The AI Data Engine applies these controls across data access, analysis, and use.
Explore the evidence behind your data
Investigate complex data, uncover what matters, and understand the evidence behind your findings.
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