Big Data Services for Smarter Business Growth
Get reliable insights and manage your massive data sets without hassle with our scalable big data services.
Developing big data solutions that make complex data understandable, operations efficient, and insights from data easily accessible
Our Big data services assist organizations in dealing with large amounts of structured and unstructured system data, increasing processing speeds, and optimizing data workflows. At SHALIGRAM, we integrate disparate and siloed data sources to expedite your business decision-making. We build safer data environments that support advanced analytics and real-time processes for evolving business needs.
The global big data market is projected to grow at a compound annual growth rate of 14.9% and reach USD 862.31 billion by 2030. We solve all existing data challenges for big data-driven futuristic businesses. Our solutions drive better business outcomes by delivering big data service-powered insights.
Key business challenges our big data solutions help solve
Data volume explosion
Manage rapidly growing structured and unstructured data.
Data silos
Connect fragmented data to create a more unified data environment.
Slow data processing
Speed up processing workflows across data formats.
Lack of real-time insights
Convert real-time enterprise data into actionable insights that drive value.
Rising data management costs
Optimize storage, processing, and infrastructure to control costs.
Data quality gaps
Improve data accuracy across sources, pipelines, and analytics workflows.
Big data services we offer
Big data consulting
We assess your data landscape, business goals, and technical requirements with a consulting-first approach. We define practical strategies for architecture, integration, analytics, and modernization to help you build a scalable data foundation.
At SHALIGRAM, our big data experts and engineers create flexible data lakes for integrating structured, semi-structured, and unstructured data. We help you achieve the objectives of a centralized data environment by developing modern lakehouse architecture.
We improve your data reliability, governance, processing, analytics, and AI readiness by designing modern data warehouses using platforms like Snowflake and Databricks. Trust our data warehouse experts to create scalable data models and reliable workflows.
Data processing
Create effective data processing pipelines for batch and real-time applications. We leverage technologies such as Apache Spark and Apache Kafka to receive, convert, validate, and transform high-volume information, providing your organization with the available data.
Big data integration services
Compile and bridge data from applications, databases, APIs, cloud platforms, and enterprise systems through dependable integration workflows. Reduce data silos and make relevant data accessible through reliable big data connection capabilities.
Data pipeline development
Engineer reliable data pipelines that transfer data from source systems to storage, processing, and analytical environments. We build ETL/ELT pipelines with technologies such as Apache Airflow for ingestion, validation, and monitoring that help ensure reliable data movement.
Big data modernization
Modernize legacy data environments by assessing existing architectures, workloads, and operational challenges. We define practical modernization roadmaps and implement scalable improvements such as Data Mesh and Data Fabric that align with changing business needs.
Cloud big data services
Build scalable and cloud-based big data solutions to meet the needs of your organization. Cloud-based data lakes, processing workflows, analytics platforms, and integrations bring scalable platforms to manage workloads for evolving demands.
Turn complex datasets into actionable business insights through scalable analytics environments and advanced data analysis. Our big data analytics use modern processing and lakehouse architectures to help teams monitor performance and support faster decisions.
Our numbers reflect our commitment
Our big data development process
Discovery and assessment
Assess business goals, data sources, workloads, and existing architecture to define clear big data requirements.
Architecture planning
Design scalable architecture aligned with processing, integration, analytics, and business needs for scalable performance.
Data pipeline development
Construct ETL/ELT data pipelines to reliably transport, transform, validate, and move data across enterprise systems.
Big data implementation Services
Implement data platforms and integrations while maintaining reliability, security, and performance standards.
Testing and deployment
Test data accuracy, pipeline performance, system reliability, and workload behavior before production deployment.
Optimization and support
Monitor deployed environments, optimize performance, and continuously improve the data ecosystem over time.
Key business outcomes we deliver
AI-ready data ecosystems
Laying strong foundations for AI/ML infrastructure & AI adoption
Real-time business intelligence
Intelligent decisions backed by real-time data analysis
Lower infrastructure costs
Reduce infrastructure costs through optimized data architecture.
Reduced data processing time
Faster data pipelines that reduce processing time across critical workflows.
Increased data reliability
Validated data without errors available across enterprise data environments.
Improved business decision-making
Gain access to trusted data insights for better business decisions.
Improved scalability
Flawless scalability even when data volumes continue growing.
Stronger data integration
No operational lags with smartly integrated data across business systems.
Smarter operational insights
Eliminate operational bottlenecks with actionable data analytics.
Turning data into business insights across industries
Manufacturing
Transform production lines, PLCs, quality management, and supply-chain data into manufacturing-specific big data assets. Our big data solutions help manufacturers strategically upgrade their production capacities with real-time insights about fast/least selling products obtained from connected sales and warehouse data. At SHALIGRAM, we help manufacturers turn their production-floor data into insights that improve quality control and strengthen the demand-to-output ratio.
- Production analytics
- Predictive maintenance
- Quality monitoring
- IoT sensor analytics
Healthcare
Healthcare organizations deal with intricate EHR/EMR records, patient data, clinical data, medical imaging, and operational data. We bring innovation and stability to your data environments to help your healthcare teams analyze patient/medical data efficiently and improve clinical reporting, health management, and treatment outcomes.
- Patient analytics
- Clinical data processing
- Medical imaging analytics
- Healthcare reporting
Fintech
Fintech businesses process a massive amount of financial transactions data, payment data, customer profile data, and digital banking records. Our enterprise big data services for the fintech industry expedite the processing of voluminous financial data and further support real-time fraud detection, transaction monitoring, risk scoring, and regulatory compliance reporting. Detect fraudulent transactions, flag financial risks, and analyze critical financial information with scalable big data services.
- Fraud detection
- Risk analytics
- Customer transaction analysis
- Regulatory reporting
Logistics & supply chain
Data from fleet telematics, GPS systems, shipments, warehouse management systems (WMS), transportation management systems (TMS), and demand patterns is used across logistics and supply chain operations. These data sources are analyzed to gain greater visibility into operations, optimize transportation networks and last-mile delivery, and make accurate demand and capacity plans. We build big data systems that support dynamic route optimization, fleet utilization, fuel efficiency, and the processing of IoT, GPS, and historical data.
- Fleet analytics
- Route optimization
- Shipment tracking
- Warehouse analytics
BFSI
BFSI companies handle an enormous amount of customer, credit, investment, transaction, KYC, and regulatory compliance data. We build scalable data environments for teams to get insights from critical data, understand their customers’ behavior, and make informed financial decisions. Our big data services, advanced analytics, and AI solutions for BFSI help you detect real-time fraud, evaluate credit and financial risks, and provide hyper-personalized customer experiences.
- Customer analytics
- Compliance reporting
- Credit risk analysis
- Claims analytics
Real estate
Real estate companies rely on real estate data analytics to support decisions about property listings, valuations, investments, market trends, and asset portfolios. Our real estate big data services help realtors, builders, and property market enterprises in reliable property valuation, market forecasting, investment analysis, and smart asset management. From identifying property investment risks to enabling IoT-based smart building management and predictive facility maintenance, use our big data services to turn property data into actionable intelligence.
- Property analytics
- Investment insights
- Smart building analytics
- Market forecasting
Retail & eCommerce
Need accurate and real-time retail intelligence derived from analysis of your customer profiles, transaction histories, inventory levels, product catalogs, and pricing? At SHALIGRAM, we help businesses convert this massive retail & e-commerce data into intelligence that guides them in optimizing their inventories, segmenting their customers, and creating smooth, exceptional omnichannel experiences. Use big data services designed for modern retailers for stock management, understanding demand trends, offering customized product suggestions, and boosting conversions.
- Customer behavior analysis
- Recommendation engines
- Inventory optimization
- Sales forecasting
- Omnichannel analytics
Food & beverage
A food and beverage business cannot function effectively without accurate data related to menu trends, recipe demands, inventory, and supply chains. We create solutions to enhance forecasts, operational visibility, inventory planning, and customer purchase patterns. We assist food enterprises throughout their value chain to analyze food chains, track production parameters and quality indicators, and enhance food processing practices.
- Demand forecasting
- Supply chain analytics
- Quality monitoring
- Inventory analytics
Oil & gas
Oil and gas firms need data analytics to make decisions regarding their upstream exploration and drilling activities. The continuously obtained data related to their production equipment, refinery output, and pipeline systems helps them optimize their asset performance and oil production activities. Our big data service is exactly what they need to convert the data from IoT sensors, drilling rigs, and SCADA systems into reliable insights.
- Equipment monitoring
- Production analytics
- Exploration data analysis
- Pipeline monitoring
Why choose SHALIGRAM for big data services
Value-driven transformation with big data
When fragmented data, legacy databases, and poor data insights are stopping you from achieving your business goals and AI/ML-led transformations, we are your go-to big data services provider. With a consulting-first approach, our big data engineers deliver scalable architecture that solves all your data-related challenges.
- Consulting-first approach before implementation
- Business-focused solutions aligned with your goals
- Scalable data architecture for evolving workloads
- Practical transformation with measurable business outcomes
FAQs
Trusted by businesses around the world for their digital transformation journey.
Your business needs to implement a big data platform when traditional databases get outdated and are unable to handle the speed and volume intensity of incoming data. Without a big data platform, your data won’t be able to deliver real-time insights.