Organizations today have a unique opportunity to leverage data, analytics and AI to enhance their growth trajectories. However, siloed data, poor data quality, and weak governance can limit accessibility, hinder decision-making, and pose compliance risks. To fully harness the transformative power of AI and analytics, businesses must modernize their legacy systems, unlocking the agility needed for real-time decision-making and accelerated growth. As data volumes surge, scalable solutions become a critical enabler, ensuring enterprises stay ahead with systems that evolve to meet tomorrow’s demands.
Our AI-powered data management services address these enterprise needs by helping break down data silos and enabling improved accessibility through data integration platforms. We ensure businesses have accurate, real-time insights using automated quality control, modernized platforms and robust governance frameworks, helping secure their data and ensuring regulatory compliance.
How we help
- Data transformation & integration
- Data migration
- Data virtualization
- Data governance
- Data insights & AI
- Data architecture
- Data marketplace
Data transformation & integration
We bring expertise to boost your digital estate with modern data platform setups and help activate capabilities that make your landscape future ready for seamless integration of big data and on demand actionable advanced analytics.
Our approach addresses challenges like data fragmentation, poor data quality, and a lack of governance, providing a robust foundation for consistent, accurate, and compliant data management. Whether through batch processing or real-time streaming, we optimize your data flows to unlock strategic business outcomes, enabling faster decision-making and a more agile, future-proof organization.
Key capabilities
Data architecture & modeling
- Enterprise data modeling
- Data design for microservices
- Distributed transactions
Data quality & governance
- Metadata management
- Data quality
- Secure API enablement and exposure of data
- Artificial intelligence (AI) solutions to clean and organize data
Data integration & synchronization
- Operational data stores
- API enablement of large data stores
- Data synchronization across cloud services
- Multi-cloud data management
Big data management & analytics
- Big data management
- Internet data mining
- Data performance patterns
Data migration
We specialize in executing seamless data migrations across platforms, ensuring your enterprise data remains secure, intact, and fully accessible throughout the process. Our end-to-end services minimize operational disruption, ensuring data integrity and accessibility during the transition. Leveraging industry-leading tools and frameworks, we offer seamless migration strategies with minimal downtime and reduced risk.
Key capabilities
- Migrate legacy data to cloud
- Migrate data from cloud to on-premises, on-premises to cloud and cloud-to-cloud
- Ensure data integrity and security during transitions
- Build strategies for risk mitigation and minimal downtime
- Implement specialized frameworks for efficient data migration
- Comprehensive migration planning for continuity of critical operations
Data virtualization
Our data virtualization services offer a unified access layer, delivering real-time access to data across diverse, fragmented sources without the complexity of physical data movement. With custom-built connectors, we ensure seamless integration with non-standard and legacy data sources, while maintaining centralized governance and stringent security controls. Our automated solutions enhance data quality, governance policies, and ensure consistent data delivery in the required format enabling data-driven decisions with speed and confidence.
Key capabilities
- Establish a data virtualization architecture
- Align data virtualization with enterprise integration initiatives
- Build connectors for chosen products
- Configure API and virtual tables using data virtualization
- Implement “Anything 360” using virtual tables
- Cloud-to-cloud integration/cloud-native data virtualization
- Modernize your traditional analytics solutions with data virtualization
- Build custom dashboards and visualization solutions driven by data virtualization
- Integrate with AI and ML tools for predictive and prescriptive analytics
Data governance
Our data governance services ensure that your enterprise data is accurate, compliant, and trusted. Through centralized governance frameworks, we enforce policies, implement role-based access controls, and ensure strict regulatory compliance, safeguarding the integrity and transparency of your data. By automating critical processes such as data quality management, policy enforcement, and data lineage tracking, we help you operate with confidence and accountability.
Key capabilities
- Centralized governance frameworks for data security and compliance
- Role-based access controls and policy enforcement
- Automated data quality management and data lineage tracking
- Master data and metadata management for consistency
- Ensuring regulatory compliance across all data systems
Data insights and AI
Our data insights and AI services are designed to facilitate real-time and actionable decision-making. By integrating business intelligence, predictive analytics, and advanced machine learning, we help you unlock the full potential of your data, equipping you with strong mechanisms to generate insights and compete at your fullest potential.
We introduce automation tools and solution accelerators, leveraging concepts and frameworks of AI, ML and Generative AI to not only reduce the CAPEX and OPEX costs but also facilitate your transition to AIOps and a self-serve environment.
Key capabilities
- Business intelligence dashboards and self-service analytics for performance monitoring
- Predictive analytics and anomaly detection to forecast trends and identify potential risks
- In-depth risk assessment and customer segmentation to drive targeted actions and improve customer engagement
- Advanced machine learning techniques to enhance decision-making and uncover hidden patterns
- Prompt insights from real-time data streams to support agile decision-making
- Development of AI-driven tools and models tailored to address specific business needs
- Analysis and interpretation of data using chosen products, to support strategic planning and competitive positioning
Data architecture
Organizations need data architectures that not only meet current requirements but also adapt seamlessly to future demands. We take a scalable, modular and interoperable approach to address your data architecture challenges utilizing cloud integration and implementing strong data governance frameworks.
We begin by thoroughly assessing your existing data ecosystem, understanding your pain points - such as data silos and integration issues, data management complexities, data quality and governance, lack of analytical capabilities etc. and craft tailored data strategies addressing your enterprise needs. Optimized for high performance across cloud, on-premises, and hybrid environments, our approach guarantees that your data infrastructure evolves to not only support but also drive your strategic objectives as your business expands.
Key capabilities
- In-depth evaluations to support tailored data architectures that align with long-term business goals.
- Scalable data mesh frameworks that support growth and adaptability
- Performance and efficiency enhancements of data operations across cloud, hybrid, and on-premises environments
- Specialized frameworks to manage data governance and metadata ensuring compliance, data integrity, and operational transparency.
AI-powered data marketplace
We help you streamline data exchange and asset monetization through scalable AI-powered marketplace platforms. By taking a platform approach, we help you connect with an ecosystem of data providers and consumers, unlocking new revenue streams and insights. Our solution supports various data models and usage scenarios, including transactional, subscription-based, and real-time data feeds. Additionally, by combining API-first design principles with robust API management, we help you capitalize on data monetization opportunities and lend capabilities for your business to operate with scale and flexibility.
Key capabilities
- End-to-end development and management of data marketplaces
- Development and support of integrated AI-powered data marketplaces
- Seamless integration with existing systems and platforms facilitating smooth interoperability
- Secure and compliant data exchange with strong governance mechanisms to secure data transactions, integrity and privacy.
- Flexible monetization models to support transactional, subscription and real-time approaches
- API-first architecture to support scalable data monetization and flexibility
Our data transformation partners
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AWS
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Azure
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IBM
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Google
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Bhoomi
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Denodo
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Ab initio
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Databricks
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SnowFlake
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Lait
CASE STUDY
Data virtualization – Tableau dashboard acceleration
CASE STUDY
Data as a Service (DaaS)
CASE STUDY
Databridge – Energy Supply Client
CASE STUDY
Master Data Management – Telco client
CASE STUDY
Device data for network performance analysis
CASE STUDY
Data virtualization –
Tableau dashboard
acceleration
Problem statement
The client encountered two critical challenges that impeded their business intelligence capabilities. The data preparation process was highly manual, requiring extensive effort to extract, transform, and consolidate data from multiple disparate sources before it could be visualized in Tableau. This labor-intensive workflow led to prolonged BI project timelines, delaying insights and slowing decision-making. Concurrently, users faced significant performance issues with Tableau dashboards, characterized by high query latency and extended loading times, particularly for complex, data-intensive visualizations. These challenges not only created operational inefficiencies but also hindered the client’s ability to deliver real-time analytics and actionable insights, limiting their agility in responding to business needs.
Solution
- Implemented data virtualization to streamline and accelerate data preparation for Tableau visualizations.
- Enabled a self-service, DIY development model for BI teams, reducing dependency on manual processes.
- Applied Smart Query Acceleration techniques to enhance Tableau query performance and ensure seamless visualization, even with complex datasets.
Business benefits:
- Achieved 50-80% reduction in BI project delivery timelines by removing data preparation bottlenecks.
- Ensured Tableau dashboards load within five seconds, regardless of data complexity.
- Improved decision-making boosted user satisfaction, and increased adoption of BI tools for real-time insights.
CASE STUDY
Data as a Service (DaaS)
Problem statement
The client wanted to make enterprise data readily accessible for consumption across functions. Exposing datasets as APIs required a time-consuming Java development process, which created bottlenecks and slowed data delivery to downstream applications. Additionally, the distributed access control setup was overly complex, making it difficult to enforce consistent security policies across diverse user groups and data layers. These challenges limited scalability, increased operational overheads, and posed risks to data security.
Solution
- Leveraged data virtualization to expose datasets as APIs out of the box
- Implemented a centralized role-based access control system to enforce granular data security at the view, column, and row levels.
Business benefits:
- Achieved a 50-80% reduction in time required to expose datasets as APIs, enabling faster data delivery.
- Simplified governance and enhanced compliance through centralized, consistent, and granular access control mechanisms.
- Accelerated data accessibility while maintaining robust security standards.
CASE STUDY
Databridge – Energy supply client
Problem statement
The client faced a challenge in connecting corporate data residing on AWS to the Azure data platform in near real-time. This integration gap hindered the ability to deliver timely and accurate recommendations, limiting operational efficiency. The lack of seamless data flow between the two platforms created delays in data availability, affecting decision-making, predictive analytics, and the overall performance of plant operations. The organization needed a scalable, reliable solution to bridge this data gap and enable real-time insights for improved plant performance and operational agility.
Solution
Dev Portal: Developed a single sign-on enabled web application for data owners to manage the publication and subscription of data objects between corporate big data platforms. The application was built using a microservices architecture to ensure scalability and API readiness.
Event Mediation Hub: Implemented a Kafka platform as a service, enabling a publish-subscribe backbone for real-time data transport across the enterprise. This hub uses a Kafka Connect framework-based sink connector to push data to Azure Event Hub.
Data Publisher: Deployed an intelligent ETL solution on the AWS stack to publish data objects from the Dev Portal to Kafka topics. This solution is agnostic to data objects and scalable to meet future publishing needs
Business benefits:
- Improved plant performance and quality, leading to enhanced operational efficiency.
- Increased customer satisfaction through improved product quality and traceability.
- Reduced production costs by proactively identifying equipment issues and minimizing cycle times.
- Enabled continuous performance improvement in manufacturing processes.
- Empowered plant and supply chain managers, maintenance and quality engineers, and performance experts with data-driven insights to take informed actions.
CASE STUDY
Master Data Management – Telco client
Problem statement
The client challenge was inefficient master data management, resulting in data fragmentation across systems, delayed synchronization, and operational inefficiencies in sales, service, and maintenance. This lack of a unified data structure led to difficulties in maintaining accurate, up-to-date information, hindering effective decision-making and increasing the complexity of system integrations.
Solution
- Implemented a single centralized master data system for key business entities, including Business, Contact, Consent, and Sales Ownership.
- Developed and managed a golden record by integrating both external and internal data sources.
- Enabled seamless system synchronization with the Master Data Management (MDM) system, eliminating dependencies between systems.
- Adopted an API-first approach to integrate systems and applications, ensuring smooth data flow and accessibility.
- Established "Master Once, Reuse Many" framework, positioning MDM as the source of truth for any new applications requiring business data.
Business benefits:
- Streamlined operations with 22 batch and real-time applications integrated into the MDM system.
- Processed over 5GB of data daily, ensuring up-to-date information across systems.
- Mastered 13 million records, providing a single, reliable source of truth.
- Generated over 8 aggregate reports daily, delivering actionable insights for various business streams.
CASE STUDY
Device data for network performance analysis
Problem statement
The client needed to aggregate and process data from multiple mobile sites and cells to gauge analytics on network performance, including capacity, energy efficiency, power throughput, and overall performance management. The fragmented data posed challenges in gaining unified insights and making data-driven decisions for optimizing network operations.
Solution
- Stored raw data in the Centralized Cell Network (CCN) system, with dimensions and facts built on Big Query within the Data Processing Network (DPN).
- Utilized the Formula Master to define KPIs and standardization rules for critical fields like frequency and decibel levels.
- Leveraged Looker and Vertex AI for advanced analytics and visualization, enabling deeper insights into network performance.
Business benefits:
- Standardized and collated data from 20,000 mobile sites and 260,000 cells, covering key metrics such as signal frequency, uplink, and downlink performance, within Greenplum DB.
- Processed approximately 30GB of data daily, ensuring real-time insights and enabling better decision-making for network optimization.
