Your data ecosystem, connected.

PulseQED works with the data you already have — not instead of it. Connect your sources, govern them in the cloud, and deliver insight in the tools your teams already use.

 

 
PulseQED integrates data from the systems consumer brands rely on: retail, sales and consumer panel data, ERP feeds, TPM feeds, promo calendars, survey data, media spend, and harmonizes them in the cloud environment so they become governed, connected, and analytics‑ready.
From there, PulseQED act as your data foundation delivering harmonized insight directly to your BI tools or in a front-end of your choice.

✓ Cloud-First

✓ API

✓ MCP

 ✓ Vendor-Agnostic

✓ No Data Lock-In

✓  ISO 27001:2022 Certified

✓ GDPR Compliant

What does PulseQED integrate with?

PulseQED is a multi-source data integration platform. It connects to the data you already have, harmonizes it through the data layer , and delivers insight-ready outputs to the BI tools your teams already use, all within the  cloud  environment.The platform supports always-on data refresh, is certified to ISO 27001:2022, and is designed to work alongside your existing BI and cloud tools, not replace them.

Connect your tools

Connect PulseQED to the AI assistant you already use

PulseQED supports MCP, the open standard for connecting AI assistants to data. Ask questions about your marketing and sales data directly in Claude, ChatGPT, Gemini or any other MCP-compatible tool, without exporting files or switching between systems.

Most AI connectors reach one data source at a time, so you get part of the picture. Marketing performance depends on media, sales, pricing, promotions and consumer research such as panel and survey data. PulseQED brings them into one harmonized dataset, cleaned and modeled by default.

Your AI assistant never does the calculations itself. Every question is answered through PulseQED's analytical layer, using the same definitions and business rules as your reports. The assistant interprets the question, PulseQED calculates the answer.

Connect once and reach all your data.

claude-ai
Claude
chatGPT
ChatGPT
gemini-ai
Gemini
microsoft-copilot
Copilot
Perplexity-ai
Perplexity
cursor
Cursor
MCP
Any MCP-compatible tool

 Architecture 

PulseQED's three-layer integration model

PulseQED operates across three layers: Data & Harmonization Layer, Analytics Layer,  and Flexible Front End, each independently configurable and vendor-agnostic.

Data & Harmonization

Source Data:


What comes in: retail, sales and consumer panel data, ERP feeds, TPM feeds, promo calendars, survey data, media spend.

Analytics

Advanced Analytics


From diagnostics to forecasting, PulseQED turns data into actionable intelligence instantly. 

Flexible Front End

Insights


Where insight generation takes place. AI Agents and Assistants, Marketing Tracker, Power BI, or API.

Layer 1
Source Data

Data & Harmonization Layer

Your data sources, connected
All your data inputs, regardless of format or provider. PulseQED integrates with internal and external data sources, harmonizing everything across marketing, sales, and finance into a single source of truth.

 
 
 
Data Category Named Sources & Types Primary Use
Retail & Sales
Retail Market Share (PoS) · Retailer Data & Retail Scanning · Ecom Data ·Sell-In & Trade Data · Point-of-Sale Systems Market share, distribution, volume, value and price tracking, price elasticities, measure trees
Trade & Promotions
ERP and TPM feed · Salesforce TPM · Flyer Data · Promo Data · Price Scraping Data Promo planning & evaluation, ROI analysis, trade investment
Consumer & Research
Survey & Panel Data · Consumer Tracking Studies · Brand Health Trackers · Shopper Research Brand equity, consumer behaviour, segmentation
Marketing & Media
Media Spend, A&P Data · Campaign Performance · Digital Marketing · Search & Social · Customer Feedback & Reviews · Customer Loyalty Marketing effectiveness, channel attribution, LTV
Financial
Finance, P&L Data · Budget & Actuals · Trade Investment Records · Revenue & Margin Commercial P&L, ROI modeling, investment defence
External & Contextual
Weather Data · Macroeconomic Indices · Category Trend Data · Competitor Pricing External factors, benchmarking

Does PulseQED work with e.g. NIQ or Kantar?

PulseQED can ingest data from major syndicated retail and consumer research providers — including NIQ, Circana, YouGov, Kantar, and many more.

Because PulseQED is vendor-agnostic, switching between or using multiple syndicated data providers does not require rebuilding your insight infrastructure. In addition it can ingest data from retailers directly.

Your harmonization logic, dashboards, and historical data remain intact.

Data Harmonization

PulseQED is a granular, harmonized data layer built specifically for marketing and research data. At its core, AI-assisted harmonization automatically applies business logic, data cleansing, and governance, reconciling sources across countries, categories, and brands into a single, consistent data set your team can rely on.

Instead of spending weeks aligning mismatched files, definitions, and metrics, your team starts from one source of truth.

AI-READY DATA


AI-ready data. A clean, consistent, governed foundation is exactly what AI and analytics tools need, so you can plug into models, agents, and automation without re-engineering your data first.

What a unified, harmonized data source means for you

  • Numbers you can trust. Every metric is validated, enriched, and governed, always up-to-date, so your data is consolidated the first time, no second-guessing the source.
  • Compare anything, anywhere. Standardized metrics make countries, categories, and brands directly comparable.
  • Faster time to insight. Automated harmonization removes the manual data-prep that slows analysis down, so your team spends time on decisions, not clean-up. It makes management reporting easy and fast.
  • Scales with your business. Add new sources, markets, or brands without rebuilding your data model.

Layer 2
Advanced Analytics

Analytics Layer

Fully integrated and analytics-ready data
PulseQED’s analytics engine applies business logic and governance — transforming fragmented inputs into a single, reliable source of truth. Act on insights: trend reporting, market share performance, price and promo evaluation, driver analysis, measure trees, price elasticities

 
 
 

Real-time decision-making

Optimized for Real-Time Decision-Making – Run complex analyses without time lag

AI & predictive modelling

Leverage machine learning for trend detection and forecasting

Customizable Analytics Framework

Integrate your own proprietary models and methodologies

From diagnostics to forecasting, PulseQED turns data into actionable intelligence—instantly.

Media spend CRM data Web analytics Attribution External signals
Real-time · AI-ready · Unified
Layer 3
Insights

Output Layer

Insights delivered where your teams work  
Connect to the tools your team already uses — no new front end required.

 
 
 
Live output
BI Output

Marketing Tracker / Power BI

Native connector delivers harmonized enterprise data directly to your Power BI environment.

Insights can be delivered directly to MarketingTracker, a ScanmarQED developed frontend. It adds business logic to data, for specific business analyses such as promotion ROI analysis, consumer behavior analysis or retail insights analysis. Embedded knowledge (AI) enables you to quickly navigate through automated analytical paths and find the root causes of performance.

Teams that already use Power BI see no workflow disruption. PulseQED improves the quality and consistency of data their existing reports receive.  

API Connectivity

API & Data Lake Export

PulseQED exposes harmonized data via structured API for custom applications. Governed, documented, and consistently structured — so your downstream tools work on data you can actually trust.

AI Integration

Connect PulseQED to the AI assistant you already use

Connect PulseQED to Claude, ChatGPT, Cursor, and any MCP-compatible tool. Ask questions about your full marketing setup, without switching context or having to export data sets. The unified source of truth - every answer comes from the same data foundation powering your dashboards and measurement.

Claude
ChatGPT
Gemini
Custom agents

Cloud-agnostic by design

PulseQED is cloud-native. Your data is always governed. PulseQED offers both dedicated or shared cloud deployments. Dedicated environments can either be deployed to our tenant or your own company's tenant. In either case, strict data isolation is enforced and your data is never accessible to other organizations.

Are you using:

Snowflake-Symbol

snowflake

Databricks-Emblem

Databricks

Already running on Databricks or Snowflake?

Perfect. That means you've already invested in one of the most widely used data ecosystems available — and PulseQED is built to amplify that investment, not replace it.

Contact us to explore what we can build together 

How does the PulseQED integration process work?

Integration follows a structured onboarding process led by PulseQED's team. Most organisations complete initial integration and see their first harmonized  dashboards within 4–8 weeks.

EPOS data
Sell-in data
Finance data
Customer data
Media data
Promo data
+ more sources
PulseQED data pipeline
Raw data Layer
Unification Layer
Integration Layer
Advanced Analytics Layer
AASpark
SDKPython
Connection Layer API
API / MCP
Claude
ChatGPT
Copilot
Gemini
Power BI
Tableau
Marketing Tracker
+ more destinations

Click a step to expand

1
Discovery and architecture mapping Week 1
PulseQED's team maps your current data landscape — active sources, existing cloud infrastructure, BI tools in use, and data governance requirements. This shapes the integration plan and design choices.
2
Source connection and data validation Weeks 1-2
A data pipeline is configured for each data source. Data is ingested, validated, and checked for completeness. Source-level quality issues — missing values, inconsistent naming, taxonomy conflicts — are flagged and resolved before harmonization begins.
3
Harmonization and business logic setup Weeks 2-4
PulseQED applies its embedded harmonization engine: aligning taxonomies, standardising metrics across sources, and embedding marketing-specific business logic (time aggregation, growth and share calculations, sample weighting, significance testing, data suppression) that generic ETL tools do not handle.
4
Deployment and output connection Weeks 4-6
PulseQED’s analytics layer is deployed in the cloud environment, and your BI tools are connected for live, governed reporting.
5
Always-on monitoring and ongoing maintenance Ongoing

Data refresh runs continuously. PulseQED monitors source connections for failures with automatic validations and alerts your teams before issues affect dashboard accuracy. As new data sources or markets are added, the architecture scales automatically.

Is PulseQED locked in to specific data vendors?

No. PulseQED is vendor-agnostic by design — a deliberate architectural choice, not a feature added later. Most FMCG organizations have multiple vendors or have changed data providers at least once in the past five years. With vendor-dependent platforms, those switches require rebuilding the entire data and analytics infrastructure. With PulseQED, they don't and you have the freedom to choose.

You own your data. Always.

No vendor dependency. No data held in a shared environment. No lock-in to NIQ, Circana, or any single cloud provider. PulseQED gives you the freedom to make commercial decisions about your data — without those decisions breaking your insight infrastructure.

Frequently Asked Questions

PulseQED integrates data across six categories: Retail & Sales (Retailer Data & Retail Scanning, Sell-In & Trade Data, Point-of-Sale Systems, Ecom Data), Trade & Promotions (ERP and TPM feed, Salesforce TPM, Flyer Data, Promo Data, Price Scraping Data), Consumer & Research (Survey & Panel Data, Brand Health Trackers, Consumer Tracking Studies, Shopper Research), Marketing & Media (Media Spend, A&P Data, Campaign Performance, Digital Marketing, Search & Social, Customer Feedback & Reviews, Customer Loyalty), Financial (Finance, P&L Data, Budget & Actuals, Trade Investment Records, Revenue & Margin), and External & Contextual data (Weather Data, Macroeconomic Indices, Category Trend Data, Competitor Pricing). It connects to any data source that can be structured and exported and supports custom connectors for proprietary systems. 

There's no fixed minimum. PulseQED's team starts with a discovery and architecture mapping phase that works with whatever data landscape you already have, whether that's a single retail scanning feed or a full stack across ERP, TPM, panel, and finance systems. Most teams see the fastest value starting from sell-out data (EPOS or retail scanning), then layering in sell-in, promotional, and consumer data as the model matures. PulseQED connects to any data source that can be structured and exported, so you build up from what's already available rather than waiting until everything is in place. 

Yes. PulseQED is ISO 27001:2022 certified and GDPR-compliant, with role-based access control, end-to-end encryption for data at rest and in transit, and a full audit trail. Your data stays in your own cloud environment, wether our tenant or your own company's tenant. In either case, strict data isolation is enforced and your data is never accessible to other organizations. You own your data, always. 

MCP (Model Context Protocol) is the open protocol that lets AI tools connect directly to external data sources. For PulseQED, MCP compatibility means Claude, ChatGPT, Gemini, Copilot, Perplexity, Cursor, or any other MCP-compatible tool can pull your harmonized marketing and sales data straight into the workflow, no exports, no format conversion, no custom integration work. 

Yes. PulseQED is MCP-compatible, so your AI agents and assistants, like Claude, ChatGPT, Gemini, Copilot, Perplexity, Cursor, or any custom, MCP-compatible agent, can query PulseQED's harmonized data directly, without exports or custom connectors. Every answer comes from the same governed data foundation powering your dashboards, so agent-generated answers and BI reports never diverge. 

Yes. PulseQED delivers harmonized, analytics-ready data directly to Power BI and Tableau via Pulse API. Teams that already use these tools see them automatically updated — PulseQED improves the quality and consistency of the data those tools receive. 

No — on both counts. PulseQED is cloud-agnostic: it deploys across major cloud providers and your data always stays in your own environment. It’s also vendor-agnostic on the data side — switching retail data suppliers or research providers doesn’t break the infrastructure. 

Most teams complete initial integration and see their first harmonized dashboards within 4–8 weeks. PulseQED's team manages the integration — your IT team's involvement is focused on access provisioning and architecture sign-off, not custom build work.

See your data ecosystem in action.

PulseQED connects your sources, governs them in the cloud, and delivers insight in the BI tools and LLMs your team already uses — without replacing what works.