Data & AI
Overview
We help you monetize and unlock the true value of your data.
Our 5-step data framework addresses the full cycle from data engineering to compliance to insights generation. We follow a pragmatic approach to help you maximize your ROI. Our principles of customer centricity and frugal innovation ensure that your data assets actively accelerate your AI & digital transformation initiatives in an incremental fashion that doesn’t need to wait for a big bang approach.
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How We Bring the Data Lifecycle to Life
Data Strategy
Leverage decision insights from data derived out of a solid foundation
Our AI Agent collaborates seamlessly with your Data team, amplifying their capabilities. Together, they decode complex datasets, uncover hidden patterns, and fuel strategic decisions.
Data Ops
Create resilient and effective data pipelines
We address the actual integration of data sources, people and processes, to create modern data lakes and/or warehouses. Our data architecture approach does not succumb to theoretical debates but focuses on delivering a cost-effective, scalable, and automated data fabric that can drive real-time insights and closed-loops that result in responsive business operations.
Compliance and Security
Reduce risk of data loss and privacy from the ground up
We address the important issues of data privacy and data loss in our data architecture. We do a top-down analysis of both internal and external user needs to derive the necessary data privacy rules, regulate sensitive data management, and achieve secure data exchange between sources. This approach limits risks and prevents breaches by supporting it with the right technology application portfolio strategy.
Insights Generation
Generate insights that are not just predictive but also prescriptive
Build the right BI dashboards and AI analytical models to meet the business needs in an incremental fashion. We leverage our partner tools and use machine learning (ML), NLP etc. To allow clients to derive the right insights and gain competitive advantages. We develop and implement fully functional models on large data volumes (structured/ unstructured, legacy, the cloud, big-data based etc) and bring decision making to strengthen the business objectives.
Insights Operationalisation
Making sure the insights are internalized into the right business processes
Allow operations and digital applications to use the insights generated so that we can improve operations and customer experiences. This requires a comprehensive view of not only the business processes but also the technology applications portfolio and architecture. We create the right API or other integrations to ensure that every aspect of your operations is connected.
Data Strategy
Leverage decision insights from data derived out of a solid foundation
Our AI Agent collaborates seamlessly with your Data team, amplifying their capabilities. Together, they decode complex datasets, uncover hidden patterns, and fuel strategic decisions.
Data Ops
Create resilient and effective data pipelines
We address the actual integration of data sources, people and processes, to create modern data lakes and/or warehouses. Our data architecture approach does not succumb to theoretical debates but focuses on delivering a cost-effective, scalable, and automated data fabric that can drive real-time insights and closed-loops that result in responsive business operations.
Compliance and Security
Reduce risk of data loss and privacy from the ground up
We address the important issues of data privacy and data loss in our data architecture. We do a top-down analysis of both internal and external user needs to derive the necessary data privacy rules, regulate sensitive data management, and achieve secure data exchange between sources. This approach limits risks and prevents breaches by supporting it with the right technology application portfolio strategy.
Insights Generation
Generate insights that are not just predictive but also prescriptive
Build the right BI dashboards and AI analytical models to meet the business needs in an incremental fashion. We leverage our partner tools and use machine learning (ML), NLP etc. To allow clients to derive the right insights and gain competitive advantages. We develop and implement fully functional models on large data volumes (structured/ unstructured, legacy, the cloud, big-data based etc) and bring decision making to strengthen the business objectives.
Insights Operationalisation
Making sure the insights are internalized into the right business processes
Allow operations and digital applications to use the insights generated so that we can improve operations and customer experiences. This requires a comprehensive view of not only the business processes but also the technology applications portfolio and architecture. We create the right API or other integrations to ensure that every aspect of your operations is connected.
Our Managed Services
Elevate your business with our Managed Services. Our dedicated team ensures uninterrupted operations, anticipates challenges, and swiftly resolves issues. Experience seamless efficiency while we handle the technical intricacies.
Product Engineering
Applying design thinking to collaborate, develop and deliver products and applications to bring to market exceptional customer first capabilities
Cloud & Cybersecurity
Architecting & managing modern cloud solutions with comprehensive enterprise cybersecurity services