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Omnichannel marketing data hub optimized campaign execution resulting in a 5% uplift in lead conversion
Sigmoid built a centralized marketing data platform on Azure with automated data pipelines to optimize marketing campaigns’ ROI for a leading medical technology company.
ML based image processing with Google Vision delivers deep insights into consumer buying patterns
Sigmoid developed an image analytics based solution powered by deep learning to help an American multinational F100 consumer products manufacturer gain insights into consumer buying patterns, product preferences, and brand penetration.
ML based targeting and campaign optimization increases ROAS on Amazon by 10x
A kids nutrition brand partnered with Sigmoid to increase spend efficiency and accelerate sales on Amazon by identifying the right target audience and optimizing campaign settings like budgets, bid value, and ad frequency for each campaign.
Best practices to manage data and services on Azure optimizes cloud costs by 25%
Sigmoid evaluated the data workloads, subscriptions, and resource groups on the Azure cloud and implemented best practices such as serverless architecture and autoscaling. In the first month, a 25% reduction in cloud subscription costs across development, QA, and production environments was observed.
Real-time integration of IoT sensor data with automated data pipelines for effective logistics management
Sigmoid optimized logistics management by re-architecting the data platform and building robust and scalable data pipelines which resulted in faster data collection, improved data quality, and seamless pipeline extensibility.
Data integration & standardization on Google cloud improves time to insight by 25%
Sigmoid developed a centralized and scalable data warehouse on Google Cloud to optimize data-driven decision-making. A single source of truth for multiple data sources was created to address legacy data warehouse challenges of data discoverability, governance, and security.
Data migration from on prem systems to Snowflake reduces time to insights by 10X
Sigmoid optimized Snowflake's performance by implementing best practices for data migration, resulting in a 10X improvement in the efficiency of data pipelines.
Data hub on AWS enables near real time tracking of 20+ KPIs to improve sales performance and customer satisfaction
We created a data hub on AWS for field sales, regional sales and marketing leaders across multiple levels of hierarchy and get access to 20+ sales KPIs in near real time.
Generating near real-time insights for a restaurant chain on a balanced scorecard powered by a LCNC data platform
Sigmoid leveraged cloud-agnostic, Low Code/No Code (LC/NC) tools to create automated data pipelines that generate insights on 70+ key performance metrics.
Data standardization from 20 ERPs into Snowflake and BI platform development for faster access to 50+ business KPIs
An enterprise-level unified BI platform that enabled near real-time tracking and analysis of 50+ business KPIs.
Automatic preventive maintenance framework to detect faults and reduce scheduled maintenance costs
Developed an automatic preventive maintenance framework to detect failure patterns on hydroforming presses for timely maintenance.
A centralized portal to collate all the datasets and apps in a single repository
Built a data portal that created a single source of truth for business users, reducing the infrastructure provisioning time for new apps from 14 days to 1 day.
ML-based assortment lifecycle solution increases market share by 0.8%
Developed assortment lifecycle intelligence to optimize overall investment in products to focus on key categories and high potential products
ML-based demand forecasting model to reduce data run-time by 20x
Developed an ML-based demand forecasting model to improve forecast accuracy and enhance visibility in the supply chain
Centralized AI deployment environment for a CPG brand reduced time to scale ML models by 85%
Built AI deployment environment for faster deployment of ML models across departments
Campaign optimization for a CPG brand resulted in a 25% improvement in ROAS
Built a robust automated solution to suggest keyword recommendations and campaign strategy changes
Automating Financial Crime Compliance analysis for a leading investment bank
Improved in risk assessment time and enabled near real-time flagging of data anomaly
Data migration to Snowflake for 5x faster web analytics and insights visualization on DOMO
Automated the process of data migration to Snowflake and visualization on DOMO to analyze digital data
Cloud optimization led to a 54% reduction in cost for a leading CPG company
Cloud monitoring and optimization to reduce cost and building custom dashboards to get granular details of billing patters
ML-driven recommendation to power real-time sales analytics
ML-driven recommendation to power real-time sales analytics
Building and maintaining robust data pipelines to make quality datasets ready for ML use cases
Building data pipelines to make quality datasets ready for ML use cases
ML-based Consumer Profiling and Segmentation for Improved Marketing Spend
Customer segmentation leading to targeted and tailored marketing communications
Centralized Data Lake for Real-time Analytics and Reporting
Automated data ingestion from 30+ diverse sources and enabled 2.5x faster time to insights for marketing team
Automated Production Schedule for Manufacturing Plants
Built an automated master production schedule for multiple manufacturing plants to improve agility and efficiency in resource allocation.
Social Media Analytics Accelerates Product Innovation
NLP-based social media analytics helped identify pain-passion points of customers and accelerate product innovation.
Single Source of Truth for Real-time Marketing Campaign Optimization
Created a set of 10 dashboards to be used by different business teams for real-time campaign reporting, optimization, and analysis
90% Improvement In ML Model Run Time Using MLOps
Improved model performance, reduce model run time, increased scalability and reduced cost of model deployment using MLOps
Improving Dashboard Query Performance by 10X
Re-architected efficient and near real-time ETL data pipeline while enabling centralized monitoring of dashboards
Predicting Missing Data Values with 98% Accuracy
Built Neural Network Architecture to create prediction models for a leading semiconductor company
Data Standardization to Track Data Anomalies for Operational Efficiency
Built automated report and visualize high-quality data on Tableau dashboard
2.5% improvement in OEE of machines
Built and automated an AI system to improve the overall equipment effectiveness (OEE)
80% performance improvements in data pipelines
Built scalable and high performing data pipelines in an Azure data platform
Churn Analytics Improves Customer Retention by 70%
Predictive machine learning models to determine customers likely to churn
Automated Data Ingestion from 10+ retailers for near real-time insights into sales trends for a CPG company
Data Lake creation
250TB+ data processed for faster customer analytics
Customer Analytics and Data Warehousing
Production-ready system by building and integrating scalable ML models
Productionize Demand Forecasting Models
8% profitability boost through personalized recommendation engine
24×7 monitoring and support using highly available, robust systems
Improved Data Pipeline Availability
100MN+ personalized emails sent by productionizing MAB model
Productionize Personalized Marketing Models
Enhanced transparency and visualization of millions of customer data points
Unified interactive analytics and external reporting for enhanced transparency
Unified Analytics Platform
15% reduction in premium using ML-backed underwriting system
Group Risk Scoring of Patients