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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

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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

 

Information Governance Models

Secure, compliant, and transparent data frameworks

Reference Architecture & Reusability Planning

Standardized models for faster time-to-value

 

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

eBook

Blueprinting the Future of Data Strategy

Webinar

Data Architecture for the Hybrid Cloud Era

Toolkit

Starter Kit for Data Governance Frameworks

Industries We Serve:

Finance

Healthcare

Manufacturing

Government

Retail

Energy & Utilities

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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.

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