Services · Data & Growth

Data & Analytics

Turn scattered data into decisions, dashboards and AI.

We connect your ERP, CRM, commerce and marketing data into one trusted warehouse, build the dashboards leaders actually use, and lay the foundation for forecasting and AI.

  • One source of truth
  • Self-serve dashboards
  • AI-ready data

Free 30-minute call with a senior data lead. Reply within one business day. Based in Jaipur, working with businesses across India.

1trusted source of truth
4–8weeks to first live dashboards
Dailyautomated data refresh or faster
Quick answer

What is data and analytics services?

Data and analytics services bring scattered business data together so leaders can act on it. Stack18 connects your ERP, CRM, commerce and marketing data into one trusted warehouse, builds the dashboards leaders actually use, and lays the foundation for forecasting and AI.

Is this you?

You need Data & Analytics when…

Tap the ones that apply to you.

Most teams we work with recognise two or three of these.

Talk to an expert about this
What we deliver

Data & Analytics, end to end.

Each capability is delivered by the same team on the Agentic SDLC, with your approval at every critical step.

Data strategy

What to measure, where data lives and who owns it.

  • KPI tree
  • Data source inventory
  • Governance and ownership

Data engineering

Pipelines that move and clean data automatically.

  • Connectors and ELT pipelines
  • Data quality checks
  • Scheduling and monitoring

Data warehouse

A modern warehouse that scales with you.

  • Warehouse design
  • Semantic models
  • Access control

BI & dashboards

Dashboards that leaders open every day.

  • Executive and team dashboards
  • Mobile and WhatsApp reports
  • Self-serve exploration

Advanced analytics

Forecasting, segmentation and attribution.

  • Demand and revenue forecasts
  • Customer segmentation
  • Marketing attribution

AI-ready data

Foundations for AI agents and natural-language analytics.

  • Clean, documented datasets
  • Talk-to-your-data
  • Feature stores
How we work

A typical Data & Analytics engagement, week by week.

Senior people lead every phase. Specialised AI agents on the Agentic SDLC handle the repetitive work, and nothing ships without your approval.

01Weeks 1–2

Define

KPIs, questions and data sources agreed.

You getKPI tree, source map
AgentsCompassDraft
02Weeks 2–5

Engineer

Pipelines and warehouse built and tested.

You getTrusted data warehouse
AgentsGridWeldWatch
03Weeks 4–7

Visualise

Dashboards designed with the people who use them.

You getLive dashboards
AgentsFrame
04Weeks 7–10

Advance

Forecasting, segmentation and AI use cases.

You getModels and insights
AgentsWeld
05Weeks 10–14

Run

Monitoring, new sources and adoption reviews.

You getData operations
AgentsPulseLedger
Ways to engage

Start small. Scale when it works.

Every engagement begins with a short, fixed-price step so you can judge the fit before committing further.

Start here

Data Assessment

Teams who need a clear data plan.

Duration
2 weeks
Pricing
Fixed price
  • KPI tree and source map
  • Quality findings
  • Data roadmap
Start with Data Assessment
Most common

Data Platform Build

Businesses ready for one source of truth.

Duration
6–10 weeks
Pricing
Fixed price
  • Pipelines and warehouse
  • Core dashboards
  • Training
Discuss Data Platform Build
Long-term

Analytics Pod

Data-driven teams with ongoing needs.

Duration
Ongoing
Pricing
Monthly team
  • New dashboards and analyses
  • Forecasting and models
  • Data operations
Discuss Analytics Pod
Free for qualified businesses

Free data and dashboard audit

We review your current reports and data sources, and show what a single, trusted dashboard could look like.

  • Data source and quality review
  • KPI recommendations
  • Sample dashboard design
Request your free data and dashboard audit
Outcomes we measure

We agree targets before we start.

Every engagement has a baseline and a target on the measures that matter to you, reported at every read-out.

Data freshnesstime from event to dashboard
Report efforthours of manual reporting saved
Dashboard adoptionweekly active viewers
Data qualitychecks passing
Forecast accuracyagainst actuals
Decision speedtime to answer a business question
Typical engagements

Where Data & Analytics makes the biggest difference.

Typical engagement

Omnichannel brand

Challenge
Sales data spread across five channels.
What we do
Unified sales and margin dashboard with daily refresh.

6 weeks

Typical engagement

Manufacturer

Challenge
Production and finance reports built manually.
What we do
Data warehouse with plant, sales and finance dashboards.

8 weeks

Typical engagement

Marketing team

Challenge
Could not connect ad spend to revenue.
What we do
Attribution model linking ads, leads and closed deals.

5 weeks

FAQ

Data & Analytics questions.

Ask us anything
We use Tally and Excel. Can you still help?

Yes. We connect Tally, Excel, Zoho, marketplaces and ad platforms, and automate what is done manually today.

Which BI tool should we use?

Power BI, Looker Studio or Metabase usually. We recommend based on your team, licences and needs.

How fresh will the data be?

Daily by default, hourly or near real-time where the business needs it.

Can we ask questions in plain English?

Yes. Once the data is clean, we can add natural-language analytics so leaders can ask questions directly.

Do you provide data and analytics services in Jaipur and across India?

Yes. Stack18 is headquartered in Jaipur, Rajasthan, and delivers data and analytics services for businesses across India. You get a free 30-minute call, a fixed-price first step and working software every week, so the engagement works the same whether you are in Jaipur or elsewhere.

Start a conversation

Let's scope your Data & Analytics project.

Tell us where you are and where you want to be. A senior data lead will reply within one business day with next steps.

  • Free 30-minute consultation
  • Indicative estimate after the call
  • NDA available on request

Tell us about your project

We reply within one business day. No spam, ever. See our privacy policy.