DATA AND ANALYTICS
Data analytics consulting for decisions you can defend
Our data analytics consulting turns scattered CRMs, ERPs, spreadsheets and emails into governed data your teams can query and trust. Reports agree with each other, and AI projects start on solid ground.
Data Readiness
- Inventory of sources, owners, quality and access rules
- Gap list ranked by business impact
- Target architecture and phased delivery plan
OVERVIEW
A data strategy before a dashboard
Most reporting problems start upstream: duplicate customers, mismatched product codes, metrics defined three different ways. We fix the foundations first, then build the reports and models that depend on them.
SERVICES IN THIS PRACTICE
Where our data analytics consulting helps
Data Engineering
Pipelines, warehouses and lakehouses that collect data from every source on schedule, tested and documented so failures surface early.
Explore Data EngineeringBusiness Intelligence
Dashboards built on one agreed set of metrics, so finance, sales and operations stop arguing about whose number is right.
Explore Business IntelligenceData Modernization
Move legacy databases, on-premise warehouses and spreadsheet reporting to cloud platforms without breaking the reports people rely on.
Explore Data ModernizationGoverned query layers
One governed layer over CRMs, ERPs and email, with access rules and lineage, ready for analysts, copilots and agents to query.
Forecasting and scoring models
Our predictive analytics services forecast demand, churn and payment risk, starting from questions your team already asks every month.
Data quality and annotation
PRISM-QC workflows that check, label and correct records at scale, giving reports and AI models data you can rely on.
USE CASES
Problems we solve with data
Month-end close for CA practices
Pull client ledgers from Tally and spreadsheets into one model, so reconciliations and monthly reports run in hours instead of days.
Plant performance for manufacturers
Combine machine, quality and shift data into OEE dashboards that show which line, product or shift is losing output.
Pipeline truth for sales teams
Join CRM, billing and support data so revenue forecasts reflect real deal health, upcoming renewals and open customer issues.
AI-ready data for a copilot
Clean and govern the documents and records a planned copilot will use, with permissions mapped before any model is involved.
HOW WE DELIVER
Five gates. You sign each one.
Every Data and Analytics engagement runs on PRISM OS. Nothing moves to the next phase until you approve the evidence.
Plan
Agree the decisions and metrics the data must support
You sign: Problem BriefResearch
Profile sources, quality, owners and access rules
You sign: Frozen PRD-LiteImplement
Build the first pipeline and model on real data
You sign: Working prototype + eval reportStabilise
Add tests, lineage, alerts and access controls
You sign: 3-click UAT sign-offMaintain
Monitor freshness and quality, extend to new sources
You sign: IP handover + warrantyData Readiness
A fixed-scope first step. You keep everything it produces, whether or not you build with us.
- Inventory of sources, owners, quality and access rules
- Gap list ranked by business impact
- Target architecture and phased delivery plan
WHY SMARTX
Why SmartX for Data and Analytics
Metrics defined once
We write a shared metric dictionary with your teams, so every dashboard, report and model uses exactly the same definitions.
Built for AI next
Your data is modelled and governed so copilots and agents can use it later without another expensive clean-up project.
Non-IT sources handled
Tally exports, scanned invoices and shared inboxes are normal inputs for us. We turn them into tables you can query.
You own the platform
Pipelines, models and documentation live in your own accounts, so your team can run and extend them without depending on us.
TOOLS WE USE
The stack, chosen per problem
ENGAGEMENT MODELS
Choose how we work together
Every model keeps the same signed gates, fixed milestones and full code ownership.
Gated delivery pod
A senior pod owns the outcome from Problem Brief to production, priced per gate so you can stop at any signature.
Dedicated engineers
Engineers who join your team and sprints, with PRISM briefs and evidence reviews added on top of your process.
PRISM OPS retainer
Hosting, security and a monthly improvement budget, run by the same engineers who built the system.
SELECTED WORK
Evidence, not promises.
Business workflow automation for a rapid construction business
We documented how work really flowed, worked through the unclear cases with the team and automated the process at pace.
Now growing through deeper customer engagement.
Read the case study“SmartX is our technology partner for business workflow automation of our rapid construction business. We found the SmartX team to be extremely diligent and thorough in working through ambiguous situations, documenting the process flows and implementing the solution at a fast pace.”
FAQ
Questions before you book
Not covered here? Ask on the call.
Where should we start if our data is a mess?
Start with a two-week Data Readiness assessment. We inventory sources, check quality, map owners and access, and give you a phased plan. You get a short list of fixes ranked by business impact, so effort goes where it pays back first.
Which platforms do you work with?
Snowflake, Databricks, BigQuery, Redshift and PostgreSQL for storage; dbt, Airflow and Fivetran for pipelines; Power BI, Tableau and Metabase for reporting. We recommend based on your volumes, team skills and existing licences.
Do you work with smaller businesses?
Yes. A law firm or manufacturer with data in Tally, Excel and email can get real value from a well-built warehouse and a few good dashboards. We size the platform to your needs and your budget.
How does this connect to your AI work?
Good AI needs good data. The governed query layers and clean models we build become the foundation for RAG systems, copilots and agents, so later AI projects start faster and with fewer surprises.
START WITH CLARITY
Get a clear view of your data
Book a free discovery call and we will tell you where your data is ready today and where it needs work.
- 1We review your context within one business day.
- 2A senior product engineer joins the call.
- 3You leave with a clear recommended next step.