Modernize your business domains with advanced data mesh architecture
From chaos to clarity: Unleash powerful and game-changing insights through centralized data lake
Creating new revenue streams by enabling effective data monetization with digital banking data platform
Sigmoid designed and implemented a reference architecture for unified trade to modernize the legacy data infrastructure which enhanced operational efficiency and fast-tracked computation of business credit scores.
Sigmoid created a customised cloud-based cash forecasting solution using advanced ML algorithms to estimate future cash flows from multiple markets and optimize the cash for the current year. The solution enabled the Global Operations team to identify opportunities for unlocking cash from working capital and streamline financial planning for the entire business.
Sigmoid provided a customized demand forecasting solution utilizing advanced ML algorithms, incorporating market indicators and macroeconomic parameters. The solution enabled swift responses to market dynamics resulting in 80% faster time to insights.
Sigmoid developed a data mesh architecture on GCP to consolidate data from multiple sources and develop data products which helped our client monetize their data and reduce the time required to commission new customers by 90%.
Sigmoid developed a centralized data insights hub for global eCommerce as a Single Source of Truth (SSOT) for improved reporting and planning. This enabled a control tower that helped the analytics team gain visibility across the eCommerce channels leading to improved planning and sales.
Sigmoid developed a data mesh architecture for modernizing enterprise data to enable next-gen analytics use cases that helped the client improve sales and inventory.
Sigmoid developed an assortment optimization solution with customized prediction and recommendation models using Databricks to help a leading alcoholic beverages company improve customer experience by placing the right products at the right outlets and drive sales.
Sigmoid optimized logistics management by building a centralized data lake with automated data pipelines to facilitate fast and error-free reporting and improve dashboard performance for crucial supply chain KPIs in real-time.
Sigmoid built a centralized marketing data platform on Azure with automated data pipelines to optimize marketing campaigns’ ROI for a leading medical technology company.
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.
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.
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.
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.
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.
Sigmoid optimized Snowflake's performance by implementing best practices for data migration, resulting in a 10X improvement in the efficiency of data pipelines.
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.
Sigmoid leveraged cloud-agnostic, Low Code/No Code (LC/NC) tools to create automated data pipelines that generate insights on 70+ key performance metrics.
An enterprise-level unified BI platform that enabled near real-time tracking and analysis of 50+ business KPIs.
Developed an automatic preventive maintenance framework to detect failure patterns on hydroforming presses for timely maintenance.
Sigmoid developed a centralized data portal with report cataloging functionality which led to faster report discovery across teams, enhanced collaboration between teams and faster time-to-market.
Developed assortment lifecycle intelligence to optimize overall investment in products to focus on key categories and high potential products
Developed an ML-based demand forecasting model to improve forecast accuracy and enhance visibility in the supply chain
Built AI deployment environment for faster deployment of ML models across departments
Built a robust automated solution to suggest keyword recommendations and campaign strategy changes
Improved in risk assessment time and enabled near real-time flagging of data anomaly
Automated the process of data migration to Snowflake and visualization on DOMO to analyze digital data
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
Building data pipelines to make quality datasets ready for ML use cases
Customer segmentation leading to targeted and tailored marketing communications
Automated data ingestion from 30+ diverse sources and enabled 2.5x faster time to insights for marketing team
Built an automated master production schedule for multiple manufacturing plants to improve agility and efficiency in resource allocation.
NLP-based social media analytics helped identify pain-passion points of customers and accelerate product innovation.
Created a set of 10 dashboards to be used by different business teams for real-time campaign reporting, optimization, and analysis
Improved model performance, reduce model run time, increased scalability and reduced cost of model deployment using MLOps
Re-architected efficient and near real-time ETL data pipeline while enabling centralized monitoring of dashboards
Sigmoid leveraged a neural network-based deep learning library to predict the missing data values with up to 98% accuracy to help a semiconductor manufacturer boost its sales performance.
Built automated report and visualize high-quality data on Tableau dashboard
Built and automated an AI system to improve the overall equipment effectiveness (OEE)
Built scalable and high performing data pipelines in an Azure data platform
Predictive machine learning models to determine customers likely to churn
Customer Analytics and Data Warehousing
Productionize Demand Forecasting Models
Personalized Recommendations
Improved Data Pipeline Availability
Productionize Personalized Marketing Models
Unified Analytics Platform
Group Risk Scoring of Patients
ML based targeting and campaign optimization increases ROAS on Amazon by 10x
Sigmoid’s ML based solution enabled a leading CPG company specializing in health, hygiene, and nutrition products to improve target audience conversion rate on Amazon ads portal by leveraging extensive data from both first party and external data sources.
Balanced scorecard & LCNC data platform generates insights on 70+ key metrics
Sigmoid implemented cloud-agnostic, Low Code/No Code tools that integrated multiple data sources with varying levels of granularity. The solution leveraged data pipelines to create multilayered dashboards with critical brand performance metrics such as brand loyalty, operational excellence, profitability, and more.
Centralized AI deployment environment reduced time to scale ML models by 85%
Sigmoid built a unique AI deployment environment for a leading CPG brand that allowed multiple business teams to run ML models and scale them across multiple departments and geographies. It ensured faster deployment of ML models across while reducing the cost of running models by 2x.
Automated data pipelines deliver 10X faster insights from IoT sensors
Sigmoid built an efficient and near real-time ETL data pipeline for the customer that resulted in faster query processing time and increased scalability. The solution facilitated centralized monitoring of dashboards allowing quick identification and resolution of machine downtime.
Enhanced trade surveillance with 4x faster data pipelines
Sigmoid helped a top-tier investment bank set up trade surveillance and make it regulatory compliant by setting up Spark-based ETL pipelines. We revamped existing systems to ensure optimal performance for the order of their trade surveillance while ensuring resource optimization and creating faster response times.
15% increase in capacity utilization with automated master production schedule
Sigmoid built a solution to efficiently predict scenarios based on optimization of important KPIs such as capacity utilization, safety stock maintenance, inventory to be maintained, raw material availability and scrap minimization for a fortune 500
