Data Strategy & Architecture
Build a future-ready data foundation
Cresco International helps organizations design scalable data strategies and architecture blueprints that align with business goals, support digital transformation, and ensure governance and consistency across the enterprise.
As businesses collect more data than ever, having a clear strategy and robust architecture is essential. A well-planned data strategy ensures that your data assets are discoverable, trusted, secure, and aligned with your business vision. Cresco International partners with enterprises to unify data across systems, eliminate silos, and create flexible data architectures that power modern analytics, AI, and operational intelligence.
Benefits
Align IT and business with a unified data vision
Improve decision-making with accurate, consistent data
Enhance agility and speed of implementation across departments
Reduce risk with built-in governance and compliance
Drive innovation through data democratization and reuse
Our Business Partners In Data Strategy & Architecture
Enterprise Data Strategy Development
Custom roadmaps to align data assets with corporate goals
Data Architecture Design
Scalable blueprints for cloud, hybrid, and on-prem ecosystems
Metadata & Master Data Management (MDM)
Unified views and governance for data consistency
Data Integration Strategy
ETL/ELT pipelines that connect siloed data sources across systems
Data Catalog & Discovery Enablement
Tools and processes for accessible, self-service data
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Information Governance Models
Secure, compliant, and transparent data frameworks
Reference Architecture & Reusability Planning
Standardized models for faster time-to-value
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Change Management & Adoption Support
Ensuring cross-functional buy-in and implementation success
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Use Cases & Industry
Global bank establishing a central data platform for cross-border reporting
Hospital network integrating EMRs with IoT and billing systems under a single data strategy
Retail chain consolidating multiple systems post-merger
Government agency modernizing its open data portal for public services
Financial services: Accelerated end-of-day batch processing and fraud detection pipelines
Healthcare: Real-time patient monitoring and secure EMR systems
Manufacturing: IoT data ingestion and predictive maintenance performance tuning
E-commerce: Peak-season website and backend optimization
Resources
Industries We Serve:
Finance
Healthcare
Manufacturing
Government
Retail
Energy & Utilities
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Featured Blogs

The Uprising of Self-Service Analytics
FAQs
A data strategy defines the vision and goals, how your data will support business objectives. Data architecture details how that vision is realized technically—through systems, workflows, and governance.
Common signs include siloed data, slow or inconsistent reporting, unclear definitions, regulatory pressures, or scalability constraints.
Yes, Cresco specializes in designing hybrid and multi-cloud architectures as part of broader modernization initiatives.
- Enterprise Data Strategy Development
- Scalable Architecture Design (cloud/hybrid/on‑prem)
- Metadata & Master Data Management (MDM)
- ETL/ELT and Data Integration Strategies
- Data Catalog & Discovery Enablement
- Information Governance Models
- Reference Architecture & Reusability Planning
- Change Management and Adoption Support
- Alignment between IT & business objectives
- Accurate, consistent data for better decisions
- Faster project delivery and implementation
- Lower risk via embedded governance and compliance
- Innovation driven by data democratization and reuse
SQream is a GPU-accelerated analytics platform, comprising SQreamDB (on‑prem SQL engine), SQream Blue (cloud-native lakehouse), and Panoply (no‑code analytics). It’s built for querying petabyte-scale data rapidly while minimizing infrastructure.
SQream introduces GPU-driven performance into Cresco’s data architectures, enabling organizations to process massive datasets with speed and cost-efficiency—while aligning with strategic governance and scalable architecture.
- Handles up to 100 PB of data
- Delivers insights up to 5× faster than traditional systems
- Offers hardware-efficient architecture with storage-computed separation and compression (~5:1), leading to up to 50% reduction in TCO
Yes, SQream supports both on-prem and public cloud deployments (AWS, GCP, etc.), making it a powerful addition to Cresco’s hybrid data strategy frameworks.
Absolutely, as a partner in SQream’s ecosystem, Cresco combines governance-first architecture with GPU acceleration to deliver robust, compliant, high-performance analytics.