DATA ANALYTICSData Analytics
Big Data Infrastructure x Advanced Statistical Analysis
SERVICE OVERVIEWService Overview
Integrating siloed data with world-class ontology technology and measuring true impact through causal inference and counterfactual analysis. With a 24/7 multinational DS/FDE team, AI agent composite teams (10-30x productivity), and UCL behavioral science, we provide end-to-end support from big data infrastructure to advanced statistical analysis, KPI design, and A/B testing.
Data-Driven ManagementData-Driven Management Support
Transform decision-making from intuition to data and evidence. While over 90% of Japanese companies recognize the need for DX, only 14% achieve results. We integrate siloed data with enterprise-grade ontology, accurately measure ROI through causal inference, and deliver practical data-driven management from quick wins to phased expansion.
Are you facing any of these challenges?
- ✓Deployed AI agents and RAG, but dirty/scattered data prevents meaningful results
- ✓Have massive data, but it's not organized and can't support AI or business decisions
- ✓Data siloed across departments, AI agents can't collaborate, enterprise optimization impossible
- ✓Traditional consultants/SIers stall at PoC. SaaS solutions don't fit our needs
Solutions from Storyteller AI
Simultaneously solving the consultant/SIer 'stuck at PoC' and SaaS 'doesn't fit' problems. Organizing data with ontology and building foundations where AI agents understand data semantics. Through strategy consulting knowledge, bilingual DS/FDE teams, and ontology design, we deliver the only data-driven management for the AI agent era in Japan.
AI Agent Orchestration through Ontology
The real challenge is data systematization. Integrating data at the semantic level with OWL/RDF, building environments where AI agents correctly understand internal rules and tacit knowledge. Enabling orchestration where multiple AI agents collaborate effectively.
ISO/IEC 42001:2023-Compliant Secure AI Platform
Protecting corporate information in a secure environment compliant with the global AI management standard. AI agents execute advanced analysis and generate decision-ready insights from automatically cleansed data.
Strategy Consulting x DS/FDE x Ontology Design
Integrating BCG/McKinsey-level strategy knowledge, bilingual DS/FDE teams, and enterprise-grade ontology design. Achieving true data-driven management in 3 months.
Results
Generated initial results within 3 months at a manufacturing DX office. 85% improvement in demand forecast accuracy, 30% inventory cost reduction. Successfully expanded company-wide.
Case Studies
Challenge
Massive underutilized data, low forecast accuracy, rising inventory costs.
Solution
Built demand forecasting model in 3 months. Quick Win approach earned trust for phased expansion.
Result
85% forecast improvement, 30% cost reduction, company-wide rollout
Challenge
Customer, sales, and inventory data siloed. No integrated analysis, causing missed opportunities.
Solution
Built data lakehouse, unified all data. Real-time dashboards for executive decisions.
Result
40% fewer missed opportunities, 3x faster decisions
Challenge
Massive customer data unused for marketing or credit decisions. Unclear ROI.
Solution
Built customer segmentation and credit scoring models with ROI framework.
Result
150% marketing ROI improvement, 20% bad debt reduction
Challenge
Delivery and warehouse data fragmented, no holistic optimization.
Solution
Unified data with AI agents for route optimization and demand forecasting.
Result
25% delivery cost reduction, 20% faster delivery, improved satisfaction
Big Data Platform DesignBig Data Analytics Platform Design
From the big data era to the smart data era. As data volumes explode, legacy infrastructure can't keep up. We combine cutting-edge ontology with lakehouse architecture on GCP/AWS to build cloud-native next-generation platforms that optimize costs while enabling real-time analytics.
Are you facing any of these challenges?
- ✓RAG/AI agents deployed, but context capacity limitations prevent retrieving needed information
- ✓Data is integrated, but too much dirty data for AI agents to understand correctly
- ✓Want to migrate from legacy to cloud, but don't know AI agent-era design
- ✓Traditional SIers/cloud vendors delivered solutions not optimized for our business
- ✓Data analytics platform failed at company-wide integration. AI agents also can't perform without organized data
Solutions from Storyteller AI
Starting from business strategy to discover challenges, providing end-to-end roadmap execution from ontology-centered platform design to culture building.
Lakehouse Architecture on GCP/AWS
Building medallion architecture on BigQuery/Redshift + S3/Cloud Storage. Modern DWH design with star and galaxy schemas solves RAG context capacity issues.
Ontology-Based Semantic Layer
Automatically cleansing dirty data and systematizing meaning with ontology (OWL/RDF). Building a unified data catalog where AI agents correctly understand business concepts.
24/7 Bilingual FDE Team
Full-stack data engineers operating 24/7 across Japan, Asia, and Europe. 3-5x faster development to build AI agent infrastructure ahead of competitors.
Results
Fully cloud-migrated a major retailer's data infrastructure. 10x processing speed, 40% operational cost reduction. Real-time inventory management drove 3% revenue growth.
Case Studies
Challenge
Legacy infrastructure preventing real-time inventory management.
Solution
Built Snowflake-based modern data stack with phased cloud migration.
Result
10x speed, 40% cost reduction, 3% revenue growth
Challenge
Factory, sales, accounting data siloed. Cross-functional analysis impossible.
Solution
Unified all data with ontology-enabled semantic layer.
Result
90% faster data integration, 5x faster decisions
Challenge
System crashes during peak order processing.
Solution
Built cloud-native auto-scaling infrastructure.
Result
Zero downtime, 20% peak revenue increase
Challenge
Patient and clinical data scattered across systems.
Solution
Built FHIR-compliant data lakehouse on GCP for secure medical data analysis.
Result
100% clinical data integration, 80% faster reporting
Market Research & AnalysisMarket Research
As market change accelerates, traditional periodic research can't maintain competitive advantage. We provide next-generation market intelligence combining real-time data with AI predictive analytics and UCL behavioral science persona validation.
Are you facing any of these challenges?
- ✓Want to automate market research with AI agents, but data sources are scattered
- ✓Using ChatGPT for competitive analysis, but outdated/inaccurate information
- ✓AI-generated personas diverge from actual customer behavior
- ✓Traditional marketing agencies are expensive and slow. SaaS tools don't fit
Solutions from Storyteller AI
AI agents collect and analyze social media, web, and transaction data in real-time 24/7. Systematizing market data with ontology and deeply understanding customer psychology with UCL behavioral science.
AI Agent-Driven Market Intelligence
Multiple AI agents automate market research. Real-time collection from social media, web, news, patents, and financials. Reducing research from 3 months to real-time.
UCL Behavioral Science x AI Persona Validation
Diagnosing customer personality with Big Five + extended factors, continuously validating AI personas with real data. TRANSFORM Framework uncovers behavioral change causal structures.
ISO/IEC 42001:2023-Compliant Secure Market Analysis
Protecting market strategy information under global AI management standards. Delivering results at 1/10 the cost of traditional agencies.
Results
Built real-time market analysis platform for B2B SaaS. Competitive intelligence reduced from 3 months to real-time. 60% higher campaign success rate, 35% CAC reduction.
Case Studies
Challenge
Traditional research can't keep up with competitor releases. Personas diverge from reality.
Solution
Real-time analysis platform with continuous persona validation.
Result
Real-time analysis, 60% higher success rate, 35% CAC reduction
Challenge
Slow trend detection, losing market share.
Solution
AI prediction models for trend forecasting with causal inference.
Result
80% forecast improvement, 15% market share recovery
Challenge
Insufficient customer needs understanding for new product development.
Solution
Integrated qualitative/quantitative data, optimized direction with persona validation.
Result
2x product-market fit, 150% of first-year target
Challenge
Broad customer segments, low marketing effectiveness.
Solution
UCL behavioral science persona analysis with real-time market trend analysis.
Result
45% conversion improvement, 2.8x marketing ROI
KPI Dashboard DesignKPI Tree & Dashboard Design
'What gets measured gets improved' — KPI visualization accelerates organizational growth. We design KPI trees structured by causal relationships from strategic objectives to operational metrics, accelerating decisions with real-time dashboards.
Are you facing any of these challenges?
- ✓Built BI dashboards, but they don't integrate with AI agents
- ✓Humans manually check KPI anomalies daily. Want AI auto-detection
- ✓Unsure if KPI tree is correct. Causal links to strategic goals unclear
- ✓Excel reporting consumes time. Want to focus on insights and action
- ✓Traditional BI vendors expensive. Cloud BI tools don't match our KPI structure
Solutions from Storyteller AI
AI agents monitor KPIs 24/7, detecting anomalies, decomposing causes, and proposing actions. Systematizing KPI structures with ontology and clarifying leading/lagging indicator relationships.
AI Agent-Driven KPI Monitoring & Analysis
Multiple AI agents monitor KPIs 24/7, detecting anomalies and identifying causes through causal inference. Proposing specific actions.
Causal Inference KPI Tree Predictive Model Design
Automatically designing KPI trees with genuine causal relationships from massive data. Solving the fundamental concern of 'is our KPI tree correct.'
Ontology-Based KPI Tree Design
Structuring strategic to operational metrics through causal relationships (DAG). AI agents automatically analyze what to improve and execute prioritization.
ISO/IEC 42001:2023-Compliant Secure Management
Integrating real-time dashboards with AI agents. Eliminating Excel work, 10x faster decision-making.
Results
Integrated strategic and operational KPIs through causal structure at a manufacturing planning division. 5x faster decisions, 80% Excel work reduction, goal achievement from 75% to 92%.
Case Studies
Challenge
KPIs scattered across departments, no enterprise-wide perspective.
Solution
Integrated through causal structure. Visualized leading/lagging relationships with DAG.
Result
5x faster decisions, 80% Excel reduction, 92% goal achievement
Challenge
Managing growth KPIs manually in Excel. Too slow for decisions.
Solution
Built real-time growth dashboard with anomaly auto-detection.
Result
KPI updates: monthly to daily, 30% MRR growth
Challenge
Managing metrics separately. Locally-optimized decisions.
Solution
Visualized causal relationships with KPI trees for simultaneous improvement.
Result
12% revenue increase, 8% margin improvement, 2x inventory turnover
Challenge
Delivery, cost, satisfaction KPIs disconnected. Unknown priorities.
Solution
Identified true causal relationships. Real-time dashboards.
Result
18% cost reduction, 15% faster delivery, improved satisfaction
Statistical A/B TestingStatistical A/B Testing
'Test hypotheses and discover the truth' — The core of data-driven decisions lies in scientific experiment design. We integrate RCT, PSM, DiD and other causal inference methods with UCL behavioral science to measure true causal effects and reliably deliver results.
Are you facing any of these challenges?
- ✓Want AI agents for A/B testing, but insufficient statistical knowledge
- ✓Manual sample size calculation, random assignment, statistical testing. Too much effort
- ✓Difficulty interpreting results, confusing correlation and causation
- ✓Traditional consultants expensive and slow. A/B tools don't fit
Solutions from Storyteller AI
AI agents automate from experiment design through analysis and reporting. Integrating advanced causal inference with UCL behavioral science for scientifically designed interventions.
AI Agent-Driven Experimentation Platform
Fully automated sample size calculation, random assignment, execution, statistical testing, and reporting. Counterfactual analysis measures true causal effects, reducing experiment duration by 1/3.
UCL Behavioral Science x Causal Inference
Scientifically designing interventions with COM-B model. Adjusting confounders with DAGs, eliminating p-hacking. Building environments for confident decision-making.
Bayesian Sequential Analysis x Multi-Armed Bandit
Sequentially updating with Bayesian inference, reducing experiment duration 40% with early stopping. Optimizing exploration and exploitation with MAB.
Results
Validated recommendation algorithm with RCT for e-commerce. 18% CVR improvement, 22% AOV increase. Bayesian sequential analysis reduced experiment duration by 40%.
Case Studies
Challenge
Want to validate recommendations but insufficient sample size.
Solution
Pre-calculated sample sizes with RCT. Early termination with Bayesian analysis.
Result
18% CVR, 22% AOV increase, 40% shorter experiments
Challenge
Want to measure onboarding improvement but different user attributes.
Solution
PSM to adjust confounders and estimate true causal effects.
Result
25% activation improvement, 30% retention improvement
Challenge
Want to measure email campaign effectiveness but unclear causation.
Solution
DAG for causal structure, DiD for pre/post measurement.
Result
35% close rate improvement, 3.2x ROI
Challenge
Want to test improvements but different conditions across lines.
Solution
RDD and counterfactual analysis for causal effects under different conditions.
Result
20% efficiency improvement, 35% defect reduction
Statistical Modeling & OptimizationStatistical Modeling & Mathematical Optimization
'Optimizing the future through mathematical power' — R&D innovation comes from advanced statistical modeling and optimization. We formulate complex decision problems as mathematical models using linear programming, convex optimization, ML, and simulation to maximize business potential.
Are you facing any of these challenges?
- ✓Want AI agents for optimization, but can't formulate mathematical models
- ✓Need demand forecasting models, but lack data scientists and MLOps
- ✓Manual optimization under complex constraints. Want AI automation
- ✓Traditional consultants expensive. Optimization software can't be operated in-house
Solutions from Storyteller AI
AI agents automate from model formulation to optimal solution derivation and reporting. Integrating LP, MIP, and convex optimization for truly AI agent-driven R&D innovation.
AI Agent-Driven Mathematical Optimization
Fully automated constraint elicitation, model formulation (LP/MIP/convex), optimal solution derivation, and reporting. Integrating Gurobi, CPLEX at 1/10 traditional cost.
World Foundation Model x AIOps Predictive Modeling
Simulating the physical world with World Foundation Models using quantum computing and AI. Building large-scale feature spaces to predict complex physical phenomena impossible with traditional models.
Ontology-Integrated Digital Twin
Integrating discrete event simulation with ontology for semantic-level process modeling. AI agents auto-detect bottlenecks with what-if analysis. Maintaining optimal state with real-time digital twins.
Results
Built production planning optimization for manufacturing R&D. MIP achieved 25% efficiency improvement, 35% inventory cost reduction, 40% lead time reduction.
Case Studies
Challenge
Need production planning optimization under complex constraints.
Solution
MIP formulation with auto-derived optimal solutions. Real-time updates.
Result
25% efficiency, 35% cost reduction, 40% lead time reduction
Challenge
Low forecast accuracy causing overstock and stockouts.
Solution
Prophet + XGBoost ensemble with inventory optimization integration.
Result
40% forecast improvement, 2x inventory turnover, 70% stockout reduction
Challenge
Manual route planning. Inefficient, high costs.
Solution
TSP solved with mixed integer programming, dynamic optimization with real-time traffic.
Result
30% distance reduction, 25% cost reduction, 20% time reduction
Challenge
Large renewable energy fluctuations, difficult supply-demand optimization.
Solution
World Foundation Models for high-accuracy weather/demand forecasting. AIOps auto-optimization.
Result
50% forecast improvement, 25% energy loss reduction, 18% CO2 reduction