Enterprise Data Platforms: From Chaos to Clarity
Stop letting data silos dictate your strategy. We build AI-enabled data lakes, warehouses, and lakehouses that unify your information, creating a single source of truth to power real-time decisions, predictive insights, and transformative growth.
Unlock Your Data's PotentialTrusted by Global Leaders to Power Their Data-Driven Decisions
Our Comprehensive Data Platform Services
We provide end-to-end services to design, build, and manage a high-performance data ecosystem tailored to your unique business challenges. From foundational architecture to advanced analytics, we build the platforms that turn data into your competitive advantage.
Data Platform Modernization Strategy
We assess your current data landscape, identify bottlenecks, and create a strategic roadmap to migrate from legacy systems to a modern, cloud-native data platform that aligns with your business goals.
- Comprehensive audit of existing data infrastructure.
- Cloud-agnostic platform selection (AWS, Azure, GCP).
- Phased implementation plan for minimal disruption and rapid ROI.
Data Warehouse Implementation
We build powerful, structured data warehouses using platforms like Snowflake, BigQuery, and Redshift, optimized for high-speed querying, complex analytics, and enterprise-wide business intelligence.
- Schema design and data modeling for analytical performance.
- Seamless integration with BI tools like Tableau and Power BI.
- Scalable architecture to handle growing data volumes.
Data Lake Design & Development
Unlock the potential of your raw, unstructured data. We design and implement scalable data lakes on platforms like Amazon S3 or Azure Data Lake Storage to serve as a central repository for all your data types.
- Cost-effective storage for massive datasets.
- Foundation for advanced AI/ML and data science initiatives.
- Flexible schema-on-read for diverse analytical needs.
Data Lakehouse Architecture
Get the best of both worlds. We implement data lakehouse platforms like Databricks, combining the low-cost storage of a data lake with the ACID transactions and performance of a data warehouse.
- Single platform for both BI and AI/ML workloads.
- Eliminates data redundancy and complex ETL processes.
- Ensures data reliability and quality with schema enforcement.
Cloud Data Migration
Seamlessly and securely migrate your on-premise databases and data warehouses to the cloud. Our proven methodologies minimize downtime and ensure data integrity throughout the migration process.
- Lift-and-shift, re-platforming, and re-architecting strategies.
- Automated tools for efficient and error-free migration.
- Post-migration performance optimization and cost management.
Modern ELT & ETL Pipeline Development
We build robust, automated data pipelines to move data from any source to your central platform. Using modern tools like dbt, Fivetran, and Airflow, we ensure your data is fresh, reliable, and ready for analysis.
- Batch, streaming, and real-time data ingestion.
- Automated data transformation and quality checks.
- Comprehensive monitoring and alerting for pipeline health.
AI-Enabled Data Processing
Leverage AI to automate complex data preparation tasks. We implement intelligent document processing (IDP) and AI-driven data cleansing solutions to handle unstructured data and improve quality at scale.
- Automated extraction from PDFs, images, and documents.
- AI-powered anomaly detection and data validation.
- Natural Language Processing (NLP) for text data enrichment.
Master Data Management (MDM)
Create a "golden record" for your critical business entities like customers, products, and suppliers. Our MDM solutions ensure data consistency and accuracy across all your enterprise systems.
- Centralized hub for managing master data.
- Data stewardship workflows and governance rules.
- Improved data quality and cross-departmental consistency.
API & System Integration
We break down data silos by connecting your disparate applications. We develop custom APIs and leverage iPaaS solutions to ensure a seamless flow of information across your entire technology ecosystem.
- Integration with CRM, ERP, and other SaaS platforms.
- Real-time data synchronization between systems.
- Scalable microservices architecture for data exchange.
Streaming Data & Real-Time Analytics
Act on insights as they happen. We build streaming data pipelines using technologies like Kafka and Kinesis to enable real-time dashboards, fraud detection, and immediate operational intelligence.
- Ingestion of high-velocity data from IoT devices and logs.
- Real-time data processing and analytics.
- Powering immediate, data-driven actions and alerts.
Data Governance & Security Architecture
Data is an asset that needs protection. We design and implement comprehensive governance frameworks with robust security controls to ensure your data is accurate, compliant, and secure.
- Role-based access control (RBAC) and data masking.
- Compliance with GDPR, CCPA, HIPAA, and other regulations.
- Full data lineage tracking and auditability.
Data Quality Management
Trust in your data is non-negotiable. We implement automated data quality frameworks to profile, cleanse, and monitor your data, ensuring its accuracy, completeness, and reliability for decision-making.
- Automated data profiling and validation rules.
- Data observability and anomaly detection.
- Dashboards to track data quality metrics over time.
Data Catalog & Metadata Management
Empower your users to discover and understand your data assets. We implement data catalog solutions that provide a searchable, centralized inventory of your data with rich business and technical context.
- Automated metadata discovery and harvesting.
- Business glossary and data dictionary creation.
- Improved data literacy and self-service analytics.
DataOps & MLOps Implementation
We apply DevOps principles to your data and machine learning workflows. Our DataOps and MLOps solutions automate testing, deployment, and monitoring to increase agility and reliability.
- CI/CD pipelines for data transformations and ML models.
- Automated testing for data quality and model performance.
- Accelerated delivery of data products and AI solutions.
Managed Data Platform Services
Focus on insights, not infrastructure. We offer 24/7 managed services to monitor, maintain, and optimize your data platform, ensuring high availability, performance, and security.
- Proactive performance monitoring and tuning.
- Cloud cost optimization (FinOps).
- Ongoing security patching and compliance management.
Why Partner with CIS for Your Data Platform?
Building a data platform is more than a technical project; it's a strategic business initiative. We combine deep technical expertise with a business-first mindset to deliver solutions that drive measurable outcomes.
AI-Enabled Delivery
Our proprietary AI tools and frameworks accelerate every phase of your project, from data mapping to pipeline development, reducing manual effort and delivering value faster.
Proven Process Maturity
With CMMI Level 5, SOC 2, and ISO 27001 certifications, our mature, verifiable processes ensure quality, security, and governance are built-in, not bolted on.
Cross-Functional Expertise
Our teams consist of data architects, engineers, AI specialists, and business analysts who work collaboratively to ensure your platform meets both technical and business needs.
Vendor-Agnostic Approach
We are experts across all major cloud platforms (AWS, Azure, GCP) and data technologies, allowing us to recommend and implement the best-fit solution for your specific environment and budget.
Outcome-Focused Partnership
We measure success by your success. Our engagement model is built around achieving your business objectives, whether it's reducing operational costs, increasing revenue, or mitigating risk.
Security-First Mindset
We integrate security into the core of your data architecture, implementing robust controls to protect your most sensitive assets and ensure regulatory compliance from the start.
Future-Proof Architecture
We don't just solve today's problems. We design scalable, modular platforms that can easily adapt to new data sources, technologies, and the future demands of your business.
End-to-End Accountability
From initial strategy to ongoing managed services, we provide a single point of accountability for the entire lifecycle of your data platform, ensuring seamless execution and support.
100% In-House Global Talent
We never outsource. Your project is handled by our dedicated, on-roll team of over 1000 vetted experts, ensuring consistent quality, communication, and security.
Our Proven 4-D Delivery Process
Our agile and collaborative approach ensures transparency, alignment, and a final product that delivers tangible business value at every stage.
1. Discover & Define
We begin with a deep dive into your business objectives, existing data landscape, and key challenges. We collaborate with your stakeholders to define clear success metrics and architect a high-level solution design.
2. Design & Develop
In this phase, we translate the strategy into a detailed technical architecture. Our AI-enabled teams develop data models, build ingestion pipelines, and configure the platform infrastructure in agile sprints, providing regular demos for your feedback.
3. Deploy & Validate
We rigorously test every component of the platform, from data quality to security controls. We manage the deployment into your production environment and work with your teams to validate that the solution meets all defined requirements.
4. Drive & Optimize
Our partnership doesn't end at launch. We provide comprehensive training, documentation, and ongoing support. We continuously monitor performance and costs, offering optimization recommendations to ensure your platform evolves with your business.
Success Stories: Data Platforms in Action
Unifying Omnichannel Data for a Global Retailer
Client Overview
A leading multi-national retailer with hundreds of brick-and-mortar stores and a rapidly growing e-commerce presence was struggling with a fragmented view of their customers. Data from point-of-sale systems, website analytics, loyalty programs, and supply chain applications existed in disconnected silos, making it impossible to personalize marketing efforts or optimize inventory management.
Problem
The lack of a single source of truth led to inefficient marketing spend, poor customer experiences, and frequent stockouts or overstock situations. They needed a centralized platform to create a 360-degree customer view and enable data-driven decisions across the organization.
Our Solution
- Designed and implemented a scalable data lakehouse on AWS using S3, Glue, and Redshift.
- Developed automated ELT pipelines to ingest data in near real-time from over 15 disparate sources.
- Built a Master Data Management (MDM) module to create a unified customer profile, de-duplicating millions of records.
- Deployed Tableau dashboards for marketing, sales, and supply chain teams to visualize key metrics and KPIs.
Enabling Predictive Analytics for a Healthcare Provider Network
Client Overview
A large network of hospitals and clinics needed to transition from reactive to proactive patient care. Their valuable data, including Electronic Health Records (EHR), lab results, and billing information, was locked in legacy systems, hindering their ability to perform advanced analytics and predict patient outcomes.
Problem
The organization faced challenges in identifying at-risk patient populations, optimizing hospital resource allocation, and complying with complex healthcare data regulations like HIPAA. They required a secure, compliant platform to unlock the value of their clinical data.
Our Solution
- Built a HIPAA-compliant data warehouse on Microsoft Azure using Synapse Analytics and Azure Data Factory.
- Implemented robust data governance and de-identification protocols to ensure patient privacy and security.
- Developed machine learning models to predict patient readmission risks and identify early signs of chronic diseases.
- Created interactive Power BI dashboards for clinicians and administrators to monitor operational efficiency and patient outcomes.
Implementing a Real-Time IoT Data Platform for a Smart Factory
Client Overview
A global manufacturing leader wanted to implement Industry 4.0 principles in their flagship production facility. They had thousands of IoT-enabled sensors on their assembly lines but lacked the infrastructure to collect, process, and analyze the massive volumes of high-velocity data in real-time.
Problem
Equipment failures were diagnosed reactively, leading to costly downtime. Production quality issues were often caught late in the process, resulting in waste. They needed a platform that could provide real-time monitoring and enable predictive maintenance.
Our Solution
- Deployed a streaming data platform on Google Cloud Platform (GCP) using Pub/Sub, Dataflow, and BigQuery.
- Built pipelines to ingest millions of data points per minute from IoT sensors across the factory floor.
- Developed an anomaly detection model using TensorFlow to predict equipment failures before they occurred.
- Created real-time dashboards for plant managers to monitor Overall Equipment Effectiveness (OEE) and production quality.
Our Technology Stack & Tools
We are experts in the modern data stack, leveraging a best-in-class ecosystem of cloud platforms, data processing engines, and analytics tools to build robust and scalable solutions.
What Our Clients Say
"CIS transformed our data infrastructure. We went from drowning in spreadsheets to having a clear, real-time view of our business KPIs. Their architects are top-notch, and they delivered the data warehouse ahead of schedule."
"The data governance framework CIS implemented was a game-changer for our compliance efforts. They understood the nuances of our industry's regulations and built a platform that is both powerful and secure. I can finally sleep at night."
"We challenged CIS to build a complex data lakehouse that could handle both our BI and machine learning teams. They exceeded our expectations. The platform is fast, reliable, and has become the foundation for our entire AI strategy."
"The migration of our legacy on-premise warehouse to Snowflake was a massive undertaking. The CIS team planned and executed it flawlessly with minimal downtime. Our query performance has improved by over 10x, and our costs are lower."
"Their DataOps approach brought much-needed agility to our analytics workflow. We can now deploy new data models and reports in days instead of weeks. They truly operate as an extension of our own team."
"As a startup, we needed a data platform that could scale with us without a huge upfront investment. CIS designed a serverless architecture on GCP that is both powerful and cost-effective. Their expertise has been invaluable to our growth."
Frequently Asked Questions
A Data Warehouse stores structured, filtered data for a specific purpose (like BI reporting). A Data Lake stores vast amounts of raw, unstructured data in its native format, ideal for machine learning. A Data Lakehouse combines the best of both: the low-cost, flexible storage of a data lake with the data management and structure of a data warehouse, enabling BI and ML on a single platform.
We embed security and governance from day one. This includes robust access controls (RBAC/ABAC), data encryption at rest and in transit, data masking for sensitive information, and comprehensive audit trails. Our solutions are designed to comply with regulations like GDPR, CCPA, and HIPAA, backed by our SOC 2 and ISO 27001 certifications.
Breaking down silos is our expertise. We design and build modern ELT/ETL pipelines using powerful tools like dbt, Fivetran, and Airflow to extract data from disparate sources (databases, SaaS apps, APIs, logs) and consolidate it into your central data platform, creating a unified view of your business.
Timelines vary based on complexity, but our AI-enabled accelerators and phased approach deliver value quickly. A foundational platform can be operational in a matter of weeks, not months. We prioritize your most critical use cases first to ensure a rapid return on investment while building out the full platform iteratively.
The ROI is multi-faceted. Clients typically see a significant reduction in TCO by migrating from legacy systems, improved operational efficiency through data-driven automation, faster and more accurate decision-making, and the creation of new revenue streams by unlocking the potential for AI/ML-powered products and services.
Absolutely. We offer flexible engagement models, including fully managed services, staff augmentation, and ongoing support plans. We become an extension of your team, ensuring your data platform operates at peak performance, remains secure, and evolves with your business needs.
Ready to Build Your Data-Driven Future?
Let's talk about your data challenges. Schedule a free, no-obligation consultation with our data architects to explore how a modern data platform can transform your business.
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