Data modelling & architecture
Our experts design a data warehouse structure aligned with your business goals.
Practice 03 / 05 · Data Science & Engineering
Businesses sit on vast amounts of information with the potential to transform operations, fuel innovation and drive growth. Using machine learning, predictive modelling and deep learning, we turn your data into insights that enhance decisions, streamline processes and elevate customer experiences.
Our approach
We develop custom, scalable solutions that integrate seamlessly into your workflows, so machine learning becomes an integral part of your business. From strategy to implementation, we work closely with your team to understand your unique challenges.
With machine learning we automate repetitive tasks, freeing resources for higher-value work. Our solutions provide real-time insights for faster, better-informed decisions, and we analyse structured and unstructured data to uncover hidden opportunities and new growth areas.
Benefits you will witness
Through optimized resource allocation.
Quicker responses to market changes.
Develop new products and services that meet evolving customer demands.
Key offerings
Our experts design a data warehouse structure aligned with your business goals.
Break down data silos by integrating diverse information sources into a cohesive view.
Ensure data accuracy, security and accessibility with well-established governance practices.
Consolidate scattered data sources into a unified system for easier understanding and management.
Analyse data across your organization to uncover hidden trends and inform strategic decisions.
Effectively manage and process the growing demands of large-scale data.
Genome data engineering
Our work begins with comprehensive genomic data collection: DNA sequencing, genetic variation tracking, test reports and clinical data.
Advanced machine-learning algorithms handle missing data, adapt to diverse input formats and support both batch and real-time processing while integrating external datasets. Processed data is stored on scalable infrastructure that complies with data protection regulations, secured with encryption and access controls for confidentiality and integrity at every stage.
DNA sequencing, genetic variation, test reports, clinical data
Machine learning for missing data and diverse formats, batch and real-time, external datasets
Scalable, regulation-compliant, encrypted, access-controlled
BFSI data engineering
We help financial institutions, banks and insurers unlock the full potential of their data with intelligent models, intelligent document ecosystems and scalable data engineering built for BFSI.
Developed a credit risk model for a consumer lending and financial services company in Jakarta that provides affordable unsecured personal loans (KTA) exclusively to smartphone users: leveraging internal data and targeted external data.
Created the data ecosystem for an intelligent document indexing system for a leading insurer in SE Asia, processing 14 million+ policy documents per year.
Developed an ML model for a leading P&C insurer to predict policy renewal probability and prioritize interventions for disengaged customers.
Created an ML model to drive new customer acquisition and up-sell, prospecting high-probability candidates likely to buy a policy or upgrade from a larger customer database.
Talk to us
From strategy to implementation, we collaborate with your team to deliver tailored, innovative applications.
If you are looking for help with Data Engineering, Data Science, Analytics, Automation and Machine Learning, please reach out to us.