Data Platform Needs Assessment
We assess your current data environment, understand your business requirements, and define what your data platform needs to do before evaluating any technology options.
Data & AI Services
Platform Selection & Architecture Design
What We Do
Data Platform Selection and Architecture Designed to Last
From evaluating data warehouse and lakehouse platforms to designing your full data architecture, we help you build a data foundation that supports your business today and scales with it over time.
Data Platform Needs Assessment
We assess your current data environment, understand your business requirements, and define what your data platform needs to do before evaluating any technology options.
Data Platform Selection
We evaluate and shortlist the data platforms best suited to your needs, covering data warehouses, data lakes, lakehouses, and streaming platforms, and give you a clear, justified recommendation.
Data Architecture Design
We design the end-to-end architecture of your data platform, covering ingestion, storage, transformation, and consumption layers so every part of the system works together reliably.
Cloud Data Infrastructure Advisory
We advise on the right cloud infrastructure for your data platform across AWS, Azure, and GCP, taking into account your workload patterns, cost requirements, and existing cloud commitments.
Modern Data Stack Design
We design a modern data stack tailored to your organisation, selecting and integrating the right tools for ingestion, transformation, orchestration, and visualisation to create a cohesive, maintainable system.
Data Security and Compliance Architecture
We design security and compliance controls into your data architecture from the start, covering access management, data masking, encryption, and audit logging to meet regulatory and internal requirements.
Why Finlytyx
Why Businesses Trust Us with Their Data Platform Decisions
The data platform decisions you make today will shape how your business uses data for years. We bring the experience and objectivity to help you get them right.
01
We Design for Your Data Reality, Not a Textbook Scenario
Data architecture decisions look different when you account for your actual data volumes, team skills, existing systems, and budget. We design platforms that work in your specific context, not just in theory.
02
We Are Not Tied to Any Platform or Vendor
We do not have commercial relationships with data platform vendors. Our recommendations are based entirely on what fits your requirements, which means you get an objective evaluation rather than a sale.
03
We Think Beyond the Initial Build
A data platform that is expensive to operate, difficult to maintain, or impossible to extend is not a good platform regardless of how well it works on day one. We design with the full lifecycle of the platform in mind.
04
We Cover the Full Data Stack
From raw data ingestion through to the dashboards and models your business uses, we understand every layer of the data stack and how decisions at one layer affect everything downstream.
05
We Help You Avoid Costly Platform Mistakes
Choosing the wrong data platform is an expensive mistake that takes years to correct. We bring the experience to help you avoid the decisions that look good in a demo but create problems in production.
06
We Support You Through Implementation
Our involvement does not end with the architecture document. We can support your team through platform implementation, review progress, and help navigate the technical decisions that arise during the build.