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Data Platform

Real-Time Market Intelligence Platform

A multi-sided data platform that brought buyers, vendors, and analysts together to deliver live market intelligence instead of static reports.

Client
Market research & advisory firm
Discipline
Data Platform
Engagement
Dedicated product team
Multi-sided
platform connecting buyers, vendors, and analysts
Live intelligence
replacing static periodic reports
Dedicated team
end-to-end platform delivery

Context

A market research and advisory firm wanted to move beyond slow, periodic reports to a live platform where buyers, vendors, and analysts could access real-time market data and insight.

The challenge

The platform had to aggregate diverse data and three different kinds of participant into one coherent, real-time experience — a data and product challenge as much as an engineering one.

Our approach

Aggregate the ecosystem

We built the data architecture and pipelines to bring together inputs from buyers, vendors, and analysts into a single, queryable source of market truth.

Make it real-time

The platform surfaces market data and movements as they happen, rather than in quarterly snapshots.

Insight, not just data

Interactive dashboards turn raw aggregated data into insight participants can act on.

Buyer ViewCompare vendors liveVendor PortalSelf-service dataAnalyst WorkspaceResearch + reportsShared Data CoreNormalised market data
One shared data core feeds three role-specific experiences — buyers, vendors, and analysts all work from the same live data

Architecture

A multi-sided platform with genuinely different needs per user type

The defining architectural challenge was that the platform serves three distinct user types — buyers researching vendors, vendors managing their own presence and data, and analysts producing intelligence — each with different access needs, different views into the same underlying data, and different update cadences. Rather than building three separate applications, the platform has a shared data core with role-based views: the same underlying market data feeds a buyer's comparison view, a vendor's self-service dashboard, and an analyst's research workspace, with permissions and presentation tailored per role.

Ingestion and normalisation across heterogeneous market data sources

Market intelligence draws on data from many sources with different formats, update frequencies, and reliability — vendor-submitted data, third-party market data feeds, and analyst research. The ingestion layer normalises these into a common schema and enriches records (linking a vendor's self-reported data with independently sourced market data on the same entity, flagging discrepancies for analyst review rather than silently picking one source).

From static reports to live intelligence

The previous model was periodic reports — point-in-time snapshots that were out of date by the time they reached buyers. The platform replaces this with live views: buyers see current vendor data and market positioning rather than a quarter-old report, vendors can update their own data and see how it affects their market position in near real time, and analysts work from continuously updated source data rather than re-collecting it for each report cycle. Where periodic outputs are still needed (for clients who want a report format), they're generated from the live data rather than maintained as a separate process.

What we built

  • A shared data core with role-based views for buyers, vendors, and analysts
  • A multi-source ingestion and normalisation pipeline for market data
  • Data enrichment and discrepancy-flagging across sources
  • Live dashboards replacing static periodic reports
  • Self-service vendor data management

Technology stack

Data Platform
Multi-source ingestion pipelineData normalisation & enrichmentShared data core with role-based access
Engineering
PythonWeb application (multi-role)API layer for data access
Infrastructure
Cloud hostingScheduled + real-time data pipelines
Delivery
Buyer-facing dashboardsVendor self-service portalAnalyst research workspaceGenerated report exports

Results & impact

The firm could offer real-time market intelligence as a living product — a step change from periodic reports, and a stickier relationship with its market.

  • The market research and advisory firm moved from periodic static reports to a live platform — buyers, vendors, and analysts now work from the same continuously updated data.
  • Vendors gained self-service access to manage their own data and see its market impact, reducing the data-collection burden that previously fell on the firm's analysts.
  • Discrepancy-flagging between self-reported and independently sourced data gave analysts a starting point for verification rather than requiring them to cross-check everything manually.
  • The shared data core meant the three user-facing experiences stayed consistent — a data update was reflected everywhere at once, rather than requiring separate updates to multiple report formats.

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