Data Platform

Build a Unified Data Foundation For Analytics And AI

Most data problems don’t stem from a lack of tools. They come from disconnected systems and duplicate datasets. Reports don’t match, so teams waste time reconciling spreadsheets instead of making timely decisions based on reliable data. Ultimately, AI efforts stall because the underlying data remains fragmented.

RS21 builds clean, governed data platforms that unify legacy and modern systems and support advanced analytics and AI at scale. As a core part of the Build phase of our AI readiness approach, the data platform turns scattered data into a single, trusted source of truth your teams can actually use.

How a Modern Data Platform Benefits Your Business

Typical enterprise data platforms connect source systems and centralize information, making structured data available through secure dashboards and analytics tools.

There are many benefits to this approach:

Teams stop chasing spreadsheets and start working from shared data.
Departments no longer wait for data analysts to respond to report requests.
Self-service reporting with real-time and historical data from all systems as a single source of information.
Leaders gain cross-system visibility through a single access layer.
Analytics and AI initiatives run on structured data and governed information rather than patched datasets.

The result? A stable foundation that supports both data analytics today and AI use cases tomorrow.

Our Approach to Your Data Platform

There’s growing pressure to recoup ROI from AI investments. Leadership needs insights faster, but your team is stuck doing manual work on dispersed platforms that simply aren’t built for this.

You need a single source of data truth: a cloud foundation able to unify information and scale as you grow. RS21 designs and implements cloud data platforms built for your real needs. Whether you need a data warehouse, data lake, or lakehouse, our customizable solutions deliver:

Secure cloud environments with defined access roles and embedded governance controls

Centralized data platforms with consistent metadata and shared definitions across legacy systems

Reliable data flow through native integrations or custom-engineered pipelines

Automated data movement and transformation so teams work more efficiently

Validated accuracy and performance before any release goes live

Self-service insights through an intuitive, single sign-on dashboard accessible across your organization

AI-ready architecture that supports analytics, automation, and machine learning from a governed core

Typical Implementation Timeline

Most data platform builds take three to six months, depending on data quality, volume, and system complexity. Broader big-data platform integrations can extend the timeline, while early dashboards often go live as the platform expands in phases.

More Than an AWS Data and Analytics Consulting Partner

For more than a decade, RS21 has built comprehensive data platforms that streamline operations and improve decision-making.

We work elbow-to-elbow with your existing data teams to design and implement the right solution for your roadmap.
RS21 often builds data platforms on AWS using managed cloud tools designed for scale and strong security controls. We select services based on your requirements and architecture goals rather than a fixed template. When AWS fits the use case, we commonly work with the following components: