Journey to Modern Analytics

Imagine what you could do.

Businesses are under pressure to decrease their mean time to insight in order to accelerate growth. They are driving to better understand markets, refine operations and create new business models. How are they starting their journey to modern analytics?

  1. Intelligent Discovery

    Define vision, strategy and prioritized use case for execution
  2. Modern Architecture Design

    Scalable, extensible architecture that can accelerate future growth
  3. Live Data Migration

    Move data to the cloud to leverage scalable, flexible compute and storage. Synchronize data for hybrid situation.
  4. Unified Analytics Platform

    On-premises, cloud, hybrid? Support all usage patterns
  5. Business Value

    Delivery real-time analytics. Measure outcomes and repeat.
Unified Analytics Platform

While the move to cloud analytics is making companies more competitive, lean, and nimble, the transformation can create risk of disrupting the existing business.

  1. Intelligent Discovery

    Starting with a use case that has business impact
  2. Modern Architecture Design

    Picking the wrong technology will limit ability to scale. Spending 6 months on architecture
  3. Live Data Migration

    Manual migrations can disrupt existing business and create data inconsistencies
  4. Unified Analytics Platform

    Using disparate tools for data science and data engineering initiatives
  5. Business Value

    Now showing business values fast enough ~every 6 weeks
Modern Architecture Design

Automate migration to ensure data stays accurate, consistent, and immediately available across business application environments, regardless of geographic location, data platform architecture, or cloud storage provider.

  1. Intelligent Discovery

  2. Modern Architecture Design

    • Elastic scale: on-demand compute and storage (cloud) (Azure, AWS & Google)
    • Self-service for end users
  3. Live Data Migration

    Migrate data at scale with no application downtime and no risk of data loss even when data sets are under active change.
  4. Unified Analytics Platform

    • Democratization of AI/ML (AutoML, new libraries & frameworks)
    • New open source technologies (Spark, TensorFlow)
  5. Business Value

Live Data Migration

Start your journey now!

Schedule a 1-on-1 consultation to see how we can help your enterprise.

Get Started

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