NextGen Data Platform

100% available, including consulting services for the assessment of business use cases, architecture customization, migration, and enterprise support.

1. 01

   Cloud migration

   Migrate from an aging on-premise platform to the cloud

   • — Scale your IT requirements to align with the business needs of your organization
   • — Reduce operational costs while improving IT processes across your organization
   • — Easily integrate with 3rd-party services and tools to achieve agility and flexibility organization-wide
2. 02

   Optimization for big data

   Handle growing data volume and velocity

   • — Achieve optimization for the Big Data V's — Volume, Velocity, and Variety
   • — Shorten the window for data processing and handle growing amounts of data in real-time
   • — Transform into a data-driven organization to empower decision-makers with insights
3. 03

   Data lake

   Implement a data lake with robust data pipelines and analytics

   • — Utilize a data lake's flexibility to store information in its native form for easier data analysis, more efficient auditing, and compliance
   • — Eliminate data silos and simplify access to data through a single data management platform
   • — Extract value from data quickly to enable cross-organizational enterprise reporting
4. 04

   Real-time analytics

   Adjust traditional analytics to meet real-time needs

   • — Gain critical insights into customer behavior and the sales process to boost revenue, or prevent potential damage
   • — Dramatically improve service quality by finding and eliminating operational problems instantly
   • — Optimize the way your IT approach analytics — from on-request reporting to real-time reports across your organization
5. 05

   Data pipelines re-architecture

   Fix disjointed architecture for more efficient data pipelines

   • — Enable a smooth and automated flow of big amounts of data across your organization
   • — Near-instantly access data from multiple streams for analysis and visualization
   • — Take advantage of flexible schemas to transport data as-is to avoid source conflicts, duplicates, etc.
6. 06

   AI & ML initiatives

   Enhance and re-architect infrastructure to pursue AI & ML initiatives

   • — Combine and capture data from multiple streams to generate insights from large volumes of streaming data in real-time
   • — Scale data integration across your organization through continuous, scalable streams and build advanced real-time applications
   • — Empower your Data Science teams by letting them work on handling data, building and training models, and moving them to production instead of doing DevOps work