Actionable Data

High-Impact Data Science & Big Data Solutions

We partner with forward-thinking enterprises in China and globally to turn massive, complex datasets into measurable business value. From real-time executive dashboards and big data engineering to predictive maintenance, demand forecasting, and customer intelligence.

Enterprise Data Science Engineered for Massive Datasets

Actionable Data is an elite data science and big data consultancy based in Shanghai. Whether dealing with billions of transactional records, high-frequency IoT sensor telemetry, or multi-terabyte distributed data lakes, we architect high-throughput data pipelines and production machine learning models that eliminate operational waste, anticipate market demand, and steer executive decisions.

Core Commercial Solutions

Scalable data products and predictive systems designed to solve high-stakes operational and commercial challenges.

BI & Operations

Executive Dashboards

Steer enterprise activity with real-time operational clarity and automated anomaly detection.

  • Activity Steering: Live tracking across production lines, supply chains, sales, and revenue.
  • Anomaly Alerts: Automated threshold alerts notifying leadership of irregular spikes or drops.
  • Open-Source Superset: Interactive, multi-device dashboards with zero recurring vendor licensing fees.
Industrial AI & IoT

Predictive Maintenance

Anticipate machine failures and prevent catastrophic unplanned downtime.

  • Sensor Telemetry Analysis: Modeling continuous streams of vibration, temperature, and pressure data.
  • Remaining Useful Life (RUL): Machine learning algorithms forecasting component wear before failure.
  • Cost Reduction: Shifting from reactive repairs to optimized, scheduled preventive interventions.
Predictive Modeling

Demand & Forecasting

Accurately project market demand, optimize inventory, and protect margins.

  • Time-Series Forecasting: Multi-horizon predictive modeling capturing seasonal trends and externalities.
  • Inventory Optimization: Minimizing stockouts and working capital lockup across warehouses.
  • Scenario Planning: Dynamic financial projections under fluctuating market conditions.
Customer Intelligence

Commercial Segmentation

Maximize customer lifetime value (LTV) and stop churn before it happens.

  • 2-Axis Scoring Matrix: Crosses commercial margin value with customer growth potential (RFM).
  • Strategic Cohorts: Actionable strategies for Champions, Sustain, and At-Risk segments.
  • Customer Personas: Composite customer profiles detailing spend habits, tenure, and payment preferences.
Machine Learning

Recommendation Engines

Deliver the right offer to the right customer at the right moment.

  • Cross-Sell & Up-Sell: Affinity algorithms detecting customer propensity for complementary products.
  • 1-to-1 Personalization: Predictive modeling ranking the highest-converting products per individual.
  • Multi-Channel Dispatch: Automated triggers matching customers to WeChat, SMS, or email campaigns.
Big Data at Scale

Big Data Engineering

Distributed, high-throughput architectures processing terabytes with sub-second latency.

  • High-Scale Pipelines: Distributed processing (Spark, SQL, Cloud Datamarts) capable of billions of rows.
  • Data Lakehouse Unification: Aggregating disparate ERP, IoT, CRM, and log data into unified repositories.
  • Enterprise Security: Resilient, highly available cloud infrastructures with strict access governance.

From Massive Data to Measurable ROI

A battle-tested engineering lifecycle ensuring complex, high-volume data delivers bottom-line impact.

1

Ingest at Scale

High-throughput ingestion of multi-terabyte transactional, IoT, and operational data streams.

2

Structure & Secure

Cleaning, normalization, and distributed cloud datamart construction with enterprise security.

3

Model & Forecast

Deploying predictive maintenance, forecasting algorithms, neural nets, and RFM segmentation.

4

Activate

Automated deployment directly into executive dashboards, IoT maintenance alerts, or marketing channels.

5

Steer & Optimize

Continuous model validation, algorithmic drift monitoring, and measurable cost/revenue tracking.

Selected Case Studies

Real-world commercial applications powered by machine learning and scalable analytics.

Robin8 Anti-Fraud Analytics

KOL Anti-Fraud: Eliminating Bot Follower Waste on Weibo

Brand Marketing ROI & Advertising Transparency

Robin8 connects multinational brands with Key Opinion Leaders (KOLs) across Chinese social media. Because influencer marketing budgets are pegged to follower counts, fake accounts represent massive budget waste. We engineered a machine learning classification pipeline detecting bot accounts on Weibo with high precision, safeguarding client marketing spend and establishing authentic brand reach.

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Audio Signal Processing App

Audio Signal AI: Interactive Guitar Learning

Real-time deep learning on consumer hardware

Leveraging digital signal processing and deep neural networks, we developed an intelligent audio application that captures acoustic guitar output via standard mobile microphones and provides instantaneous pitch and chord feedback. No external hardware required — pure algorithmic accuracy democratizing music education.

Job Fiction Semantic Search

Semantic Recommender: Next-Gen Talent Search

NLP-driven candidate & job matching

Standard job search tools rely on rigid keyword matching that fails to capture modern data science and tech roles. Job Fiction applies Natural Language Processing (MAUI Indexer) and Latent Dirichlet Allocation (LDA topic modeling via GenSim) to recommend positions based on skill semantic affinity rather than arbitrary job titles.

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Leadership & Expertise

Practical, commercial data science bridging technical execution and executive strategy.

Stéphane Truong

Stéphane Truong

Principal Data Science Consultant • Shanghai, China

Stéphane leads Actionable Data, advising multinational and domestic enterprises in China on data strategy, business intelligence, and production machine learning. He holds a Master’s degree in Data Science from the University of California, Berkeley. With extensive experience across customer analytics, RFM segmentation, and predictive modeling, he specializes in delivering high-ROI data products that leadership teams can confidently act upon.

Get In Touch

Have an operational data challenge or looking to unlock customer revenue? Let's talk.

hello@actionabledata.net

Shanghai, Jing An District