Data, Forecasting & Analysis

Stop Guessing. Start Knowing.

Your business already has the data. It's just sitting in spreadsheets, dashboards nobody opens, and reports that take three days to pull.

We turn that mess into something useful - Power BI dashboards your team actually checks, forecasts you can plan around, and reports that answer the question you've been asking for months.

Same data. Better decisions. Let's see what your numbers are hiding →

Why Brands Trust Us With Their Numbers

Power BI specialists, not "we use Excel" generalists
Forecasts that hold up - built on real signals, not guesses
Dashboards built once, refreshed automatically forever
Numbers you can trace back to the source - every time

We don't just hand over a dashboard. We sit with your team, learn what you're trying to figure out, and build something you'll actually use on Monday morning.

What We Build for You

We design and run weekly Power BI dashboards that tell your team where things stand - without anyone digging through spreadsheets at 11pm.

What We Do

Power BI Builds: End-to-end dashboards built around your KPIs, not a template
Live KPI Tracking: Numbers refresh on schedule - leadership always sees current data
All Your Sources, One View: Marketplaces, CRMs, ad platforms, internal tools - pulled together
Sales & Ops Reports: Weekly summaries on performance, targets, and trends
Custom Workflow Dashboards: When standard templates don't cut it
Auto-Refreshed Ad & Product Reports: Scheduled, sent, done

Why It Works

Built by people who do this all day, not BI tool tinkerers
One view across every system - no more tab-hopping
Auto-refresh means zero manual effort each week
Built to scale with your data, not break under it

We build forecasts that actually hold up - so you stop running out of bestsellers and stop sitting on dead stock.

What We Do

Trend Analysis: Decode seasonality, growth curves, and weird spikes from your real history
Excel Models: Demand models with scenarios and sensitivity built in (still the most flexible tool there is)
Channel Forecasting: Built around ad spend, promotions, and market shifts - not just last year
Competitive Context: Where you sit vs the market, not just vs yourself
ML-Ready Data: Pipelines structured to feed machine learning when you're ready
Amazon SP-API Integration: Real-time marketplace signals, not last week's CSV

Why It Works

Built on real signals, not gut feel
Quant models plus market context - most agencies pick one
Outputs your ops and procurement teams can act on Monday
Scales from Excel models to fully automated ML pipelines

We tell you which products make you money, which ones are bleeding you dry, and where to focus next - at the SKU level, not the top line.

What We Do

Financial Models: P&L breakdowns down to SKU and channel - Excel and BI
Product Performance: Velocity, returns, margins, lifecycle - the full picture per product
Ad Spend Analysis: ACOS, ROAS, blended ROI across every channel
Cost Reports: Fulfilment, storage, returns, overheads - the real cost of selling
Competitive Benchmarking: How your margins stack up against the market
Data Validation: Every number checked before it hits a report

Why It Works

SKU-level granularity, not just top-line revenue
Ad, ops, and sales data combined - true profit, not partial
Validated numbers you can trust in board meetings
Outputs that point straight at the margin levers you can pull

We find the gaps in your market - the categories you're missing, the keywords competitors own, the segments nobody's serving - and hand them to your team as a structured playbook.

What We Do

Competitor Intelligence: Systematic research, not scrolling through Amazon for an hour
Marketplace Analytics: Category-level benchmarks and where the gaps are
Web Scraping: Custom scrapers monitoring pricing, listings, and signals 24/7
Trend Spotting: Emerging categories, seasonal pockets, demand windows
API Data: Marketplace and third-party feeds scored for opportunity
Amazon Ads API: Keyword gaps and share-of-voice across the auction

Why It Works

Backed by real data - not "I read on LinkedIn that..."
Continuous monitoring through automation, not one-off reports
Combines your internal data with external market signals

Data Collection & Ingestion

We build the pipelines that pull data from everywhere your business lives - internal systems, marketplaces, APIs, the web - and deliver it where it needs to go, clean and ready.

What We Do

Internal Systems: Direct extraction from ERPs, CRMs, and your proprietary databases
Marketplace APIs: Amazon SP-API, ad APIs, third-party platforms - all structured properly
Web Scraping: Custom scrapers for pricing, competitor listings, public market data
Scalable Pipelines: Built to handle 10x the data without rebuilding
Custom API Connections: Bespoke integrations between the tools your stack actually uses
ETL Pipelines: Raw data in → analytics-ready tables out

We make sure the data flowing through your business is clean, consistent, and actually trustworthy - so your reports don't lie to you.

What We Do

Duplicate Cleanup: Find and merge duplicates across systems
Standardisation: Same naming, same formats, same structures everywhere
Business-Rule Validation: Automated checks that catch logic errors before reports go out
Missing & Weird Values: Imputation, outlier flagging, anomaly resolution
AI/ML Ready: Pipelines that prep data for BI tools and machine learning
Governance Frameworks: Ongoing monitoring with alerts and auto-fixes

Why It Works

Validation that knows your business rules - not generic cleaning scripts
Automated governance catches issues before they reach your reports
ML-readiness baked in from day one
Ongoing - not a one-off cleanup

We kill the manual data work - scheduled reports, automated exports, database upkeep - so your team stops being human cron jobs.

What We Do

Automation Scripts: Python and SQL handling recurring tasks while you sleep
Scheduled Reports: Right report, right person, right time - automatically
Reporting Systems: Self-running infrastructure, not "check this every Monday"
Database Upkeep: Structured entry, ongoing maintenance, no surprises
Integrity Checks: Audits to catch inconsistencies before they break things
Storage Optimisation: Indexing, partitioning, performance at scale
Data Governance: Continuous oversight, not retrofitted later

Why It Works

Automation that actually replaces effort - not "tools that need babysitting"
Database management by people who understand analytics workloads
Governance built in from day one, not bolted on later
Scales from small teams to enterprise infrastructure

Tired of Reports That Don't Tell You Anything?

Let's spend 20 minutes on your data. We'll show you what's missing, what's wrong, and what we'd build first. No pitch deck. No fluff.

Book a Free Data Audit → See Real Dashboards We've Built →