Data Intelligence Services

Turn web data into dashboards, reports, and decisions — not just CSV files

You already have the raw data. Now get the insights. Our data intelligence service ingests, cleans, and visualises external data — competitive pricing trends, market share movements, supplier performance — and delivers live dashboards, scheduled reports, and API feeds directly into your team’s workflow. No BI infrastructure to build, no analysts to hire.

Trusted by business and analytics teams
300+Live dashboards delivered
3–5 wksTypical time‑to‑dashboard
Your toolsTableau, Power BI, Looker, or ours
insight-dashboard.json
// Automated competitive pricing dashboard
source: "competitor‑catalog‑pipeline"
transforms:
  - "price_normalization"
  - "market_share_calculation"
visuals: ["trend_line", "heatmap", "top_movers"]
refresh: "hourly"
delivery: "tableau‑published‑datasource"
📊 Dashboard refreshed
10:00 AM with 12,400 new rows
🔔 Alert triggered
Price drop > 10% on SKU #48219

Trusted data from leading platforms

Expedia Shopee Tripadvisor Amazon Flipkart Swiggy Zepto Blinkit Booking Airbnb MakeMyTrip Expedia Shopee Tripadvisor Amazon Flipkart Swiggy Zepto Blinkit Booking Airbnb MakeMyTrip
Overview

From raw feeds to boardroom‑ready dashboards

Data Intelligence is the managed service that completes the data value chain. We take the structured web data you already collect — or help you collect — and apply cleaning, normalisation, enrichment, and aggregation. Then we build the dashboards, reports, and alerting systems that surface the insights your team actually needs: price positioning, market share trends, assortment gaps, supplier risk, and more.

You define the KPIs; we build the pipeline, the visualisations, and the automated distribution. Dashboards can be white‑labelled and embedded in your own portal, or delivered as data sources into your existing BI tools. It’s the final mile of web data — and we own the whole thing.

  • Custom dashboards and visualisations for any KPI
  • Scheduled PDF/XLS reports distributed by email or Slack
  • Live data feeds into Tableau, Power BI, Looker, or your warehouse
  • Automated alerting on thresholds, trends, or anomalies
  • Fully managed — we handle data modelling, visualisation, and maintenance
Business challenges

Why raw data alone doesn't drive decisions

Having terabytes of scraped data is one thing. Turning it into a clear, actionable picture is where most teams get stuck.

01

Data is scattered across dozens of sources

Each pipeline delivers its own CSV. Merging, deduplicating, and aligning them into a single source of truth is a full‑time data engineering project — and it’s never finished.

02

Visualisation is an afterthought

Even when the data is clean, building dashboards that executives trust takes design, iteration, and domain knowledge. Most engineering teams don't have the bandwidth — so the insights stay locked in SQL queries.

03

Reporting and alerting are manual

Someone exports a CSV, pastes it into Excel, and emails a PDF every Monday. If a price war breaks out on Wednesday, no one knows until the next report — and the window to act has already closed.

Our solution

A full‑stack intelligence layer that sits on top of your data

Each feature is designed to close the gap between raw extraction and business action.

Managed data modelling

We clean, normalise, and join your raw data into a star‑schema model optimised for the KPIs you care about — no more wrangling flat files.

Custom dashboards & visualisations

We design and build interactive dashboards in your preferred BI tool — or host them ourselves. Every chart, filter, and KPI is built to your specification.

Automated reporting & alerting

Scheduled PDF reports sent to your inbox. Real‑time alerts via Slack or email when a metric crosses a threshold. Nobody has to log in to a dashboard to know something changed.

BI‑ready data feeds

If you already have a BI team, we deliver clean, modelled datasets directly into your warehouse — pre‑joined, pre‑aggregated, and documented for your analysts.

kpi-config.json
// KPI definition for a pricing dashboard
{
  "metric": "price_index_vs_competitors",
  "source": "normalised_product_feed",
  "visual": "heatmap_by_category",
  "alert": "if index > 1.10 → slack:#pricing"
}
Process

From raw web data to a live intelligence dashboard

1

KPI & design workshop

We define the metrics, visualisations, and alerting rules that matter to your business — aligning with your stakeholders before any code is written.

2

Data modelling & integration

Our engineers build the data pipeline: cleaning, normalising, and merging your raw feeds into a performance‑optimised model.

3

Dashboard & report development

We create the visualisations, reports, and alerts — iterating with you until every chart, filter, and layout matches your expectations.

4

Deployment & ongoing support

The dashboards go live, reports start arriving in inboxes, and alerts begin firing. We monitor data freshness and update everything as your needs evolve.

What you receive

Deliverables at each stage of a data intelligence project

1
Week 1

KPI & visualisation blueprint

A document detailing every metric, chart, filter, and report layout — reviewed and signed off by your business stakeholders.

2
Weeks 2–3

Staging dashboard with sample data

A fully interactive, pre‑production dashboard populated with a representative sample of your data. You validate accuracy, usability, and design.

3
Weeks 4–5

Production deployment & runbook

Live dashboards, scheduled reports, and alerts go live. A runbook covers data refresh cadence, alert logic, and how to request changes.

Ongoing

Monthly intelligence health report

Summary of dashboard usage, data freshness, alert frequency, and recommendations for new KPIs — delivered proactively.

300+
Live dashboards in production
3–5 wks
Average time to first dashboard
50M+
Automated reports delivered annually
via email, Slack, and API
99.9%
Data freshness compliance
Who needs data intelligence

Teams that want insights, not just infrastructure

🏷️

Retail & E‑commerce

Competitive price positioning dashboards, assortment gap analysis, and MAP compliance monitoring.

📦

Supply Chain & Procurement

Supplier performance scorecards, raw material price indices, and risk‑of‑shortage dashboards.

📈

Financial Services

Alternative data dashboards for investment research, sentiment tracking, and macro trend monitoring.

🏥

Healthcare & Pharma

Drug pricing intelligence, clinical trial recruitment dashboards, and regulatory compliance tracking.

Why choose managed intelligence

Data Intelligence vs. building your own BI stack

Capability Managed Data Intelligence In‑House BI Team Self‑Serve BI Tool (alone)
Custom dashboards & KPIs
Data modelling & cleaning included±
Ongoing maintenance & adaptation±
Embedded, white‑labelled analytics
No headcount required
Time to first dashboard3–5 weeks3–6 months (hiring + build)Days (if data is ready)
What intelligence users say

“Our board now sees live competitor pricing — not last month’s spreadsheet”

★★★★★

"We had raw scraped data sitting in S3 for months that nobody was using. ScraperScoop built us a Tableau dashboard that our category managers now check every morning. The insights are driving real decisions — and we didn't hire a single analyst."

PI
VP of MerchandisingPricingIQ
★★★★★

"The automated PDF reports are the unsung hero. Every Monday at 7 AM, our executives get a two‑page summary of market movements — no one has to log in, no one has to build anything. It's transformed how we communicate competitive intelligence."

MS
Director of Market IntelligenceMarketSight
★★★★★

"We embedded their white‑labelled dashboard into our own client portal. Our customers now see live pricing data alongside our recommendations — and they think we built it ourselves. It's become a major competitive differentiator."

SC
Product DirectorSupplyChain Intel
Integrations

Insights delivered wherever your team works

Dashboards, data feeds, and reports — in your tools or ours, always on schedule.

📊
Tableau
📈
Power BI
🔍
Looker
❄️
Snowflake
🔷
BigQuery
💬
Slack / Email Reports

Get a scoped quote for your intelligence project

Tell us the KPIs you want to track and the data you already have — we’ll return a dashboard mockup and a fixed‑price estimate within two weeks.

Frequently asked

Common questions about Data Intelligence

Data Intelligence is the managed service that takes raw, scraped data and turns it into dashboards, reports, and automated alerts — without you needing to build or maintain BI infrastructure. We handle data cleaning, modelling, and delivery into your existing tools or our hosted dashboards.
Any insight that can be derived from structured web data — competitive pricing trends, market share analysis, product assortment gaps, supplier performance monitoring, sentiment tracking, and compliance dashboards. We work with you to define the KPIs and build the visuals that matter most.
Absolutely. We deliver clean, modelled datasets directly into your existing data warehouse (Snowflake, BigQuery, S3) or as API feeds that Tableau, Power BI, or Looker can consume natively. We also offer white‑labelled dashboards hosted by us.
Typical projects move from scoping to a working dashboard in 3–5 weeks, depending on the complexity of the data and the number of visualisations. Our team manages the entire pipeline — extraction, cleaning, modelling, and visualisation.
You do. All source data, transformed datasets, and dashboard configurations belong to you. If you choose to move the dashboards in‑house or migrate to a different BI tool later, we provide complete exports and documentation.

Your data is already valuable. Let's prove it with a dashboard.

Share your KPIs and a sample of your data. We'll build a working dashboard prototype and show you what's possible — no commitment, no sales pitch.

Most dashboards are live within 3–5 weeks of kickoff.

Fully managed data modelling Your BI tool or ours Ongoing maintenance included
From the blog

Insights on retail pricing strategy

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