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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

15% lift in new user conversion using MTA and MMM

Real-Time Demand Generation Attribution

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

70% better accuracy for demand forecasting

Demand Forecasting

65% cost savings with efficient Cloud Migration to GCP

Cloud Migration

100MN+ rows of data per day processed for improved trade surveillance

Trade Surveillance

7% sales uplift using 1:1 personalized email marketing

1:1 Personalized Marketing

Production-ready system by building and integrating scalable ML models

Productionize Demand Forecasting Models

8% profitability boost through personalized recommendation engine

Personalized Recommendations

11% improvement in marketing campaigns using MTA

Marketing Attribution

24×7 monitoring and support using highly available, robust systems

Improved Data Pipeline Availability

11% match rate improvement with adaptive identity graphs

Identity Graphs

30% QoQ revenue uplift with price optimization engine

Price Optimization

100MN+ personalized emails sent by productionizing MAB model

Productionize Personalized Marketing Models

33% improvement in ROMI using CLTV models

CLV Prediction

85% reduction in false positives using real-time fraud detection

Fraud Detection

Faster and more accurate settlements through automation

Property Claim Estimation

Enhanced transparency and visualization of millions of customer data points

Audience Targeting

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

79% accuracy of the retargeting model

Audience Segmentation

Faster analysis on 250TB+ data and creation of a SSOT

Single Source of Truth Creation

Automatic bidding with 80,000+ coefficients

Bid Optimization

80% precision improvement using ML-based approach to lead buying

Lead Buying

Find out what data services can do for you.
Find out what data services can do for you.