Data Analytics Services for Business Decisions

Data analytics services for the decision your dashboard cannot settle.

A dashboard can show that churn rose or margin fell. A focused analysis tests why, checks alternative explanations, and gives the decision owner a reproducible answer. We scope one question first, work with the data that can support it, and state what the evidence cannot prove.

Bring the problem, the current workflow, or the existing code. We reply with a practical next step within one business day.

Evidence and scope

14 weeks

Embedded analytics proof

GrowViral connected campaign activity to conversion through unique-link attribution.

2 to 4 weeks

Focused analysis

One or two related questions, with the method and limits documented.

$10K

Starting scope

Fixed after data access and the decision are checked.

Evidence · planning contextSee the work

The brief

Start with what is not working.

Good software decisions begin with the constraint, not a list of features or a preferred technology.

01

Are leaders debating why a metric moved because the dashboard stops at what happened?

02

Is a product, pricing, or operating decision waiting behind an analysis backlog?

Plain answer

Data analytics services answer a specific business question using available data, such as why churn changed, where a funnel breaks, or whether an experiment moved the intended metric. RaftLabs scopes the decision first, validates the data, documents the method, and delivers a reproducible finding. Focused engagements start at $10,000.

The dashboard was accurate. The decision was still a guess.

Churn rose in March. The weekly chart showed the change clearly, but it could not tell the team whether pricing, onboarding, seasonality, or one customer segment caused it. Each leader arrived with a different explanation.

A focused analysis should close that gap. The work starts with the decision, then tests what the available data can support.

Relevant product proof

14 weeks
GrowViral product delivery
Referral and campaign platform
12+
connected services
Recorded case-study scope
2.5x
campaign conversion result
Client-reported outcome

The GrowViral case study documents attribution and performance analytics inside a product RaftLabs delivered. We do not yet publish a case study for a standalone analysis engagement, and the client's conversion result is not a forecast for another business.

Use a focused analysis when one decision needs a defensible answer.

A question without an owner or a decision deadline usually becomes an interesting report that nobody uses.

A fit
01

A specific metric, segment, funnel, or experiment needs investigation.

02

The relevant records exist in accessible systems, files, or databases.

03

Someone is prepared to act differently if the evidence supports it.

Not a fit
01

The team needs a permanent dashboard or self-service reporting layer.

02

The underlying data is inaccessible or too incomplete to support the question.

03

The request is a forecast or production machine-learning model.

Data analytics vs business intelligence

Choose by the job the result must do

Focused data analyticsBusiness intelligence
QuestionWhy did this change, and what should the owner decide?What is happening across agreed metrics each week?
OutputFinding, method, limits, and recommendationRecurring dashboard, definitions, access, and refresh
DurationUsually two to four weeks for a focused questionBuilt and maintained as an operating product
Route elsewhere whenThe answer needs prediction or a permanent systemThe source data first needs reliable pipelines

Scope

Questions we investigate

  • 01
    Cohort and segmentation analysis
    Compare how groups behave over time without letting a blended average hide the useful difference.
  • 02
    Funnel and behaviour analysis
    Trace where a defined journey breaks, then test whether the drop is associated with a segment, channel, device, or workflow change.
  • 03
    Root-cause and variance investigation
    Explain why margin, churn, conversion, fulfilment, or another agreed measure moved by testing plausible causes against the records.
  • 04
    Experiment read-outs
    Check whether an A/B test or operational change moved the intended measure, whether the sample supports the conclusion, and what the result does not establish.
  • 05
    Analysis handoff
    Turn a repeated, valuable question into a scoped reporting requirement only after the first investigation proves it deserves a permanent view.

How it works

From business question to defensible finding

  1. Phase 1
    01

    Define the decision

    Name the question, owner, deadline, success measure, and evidence that would change the next decision.

  2. Phase 2
    02

    Validate the data

    Locate the relevant sources, write the metric definitions, and test whether the records can support a responsible conclusion.

  3. Phase 3
    03

    Test explanations

    Run the appropriate cohort, funnel, variance, root-cause, or experiment analysis and challenge the first plausible pattern.

  4. Phase 4
    04

    Hand over the finding

    Deliver the result, method, limitations, reusable queries, and recommendation tied to the original decision.

Risk

How a clean chart reaches the wrong conclusion

The metric changes halfway through
Write the population, time window, exclusions, and calculation before testing explanations.
A segment reverses the headline
Inspect meaningful cohorts before trusting an overall average, especially when the customer mix has changed.
Correlation is presented as cause
Test alternative explanations and state when the available data supports association rather than causation.
Missing records look like behaviour
Profile source coverage and reconcile joins before treating an absence as a customer or operational event.

Scope and price

A focused data analysis starts at $10,000.

Start with one decision, one or two related questions, the records needed to test them, and a reproducible handoff.

If the assessment shows that the real need is a pipeline, recurring dashboard, predictive model, or custom analytics product, we will scope that work separately.

Starting investment

Starts at $10,000

A focused engagement usually takes two to four weeks. Multiple systems, weak identifiers, unclear definitions, or deeper experimental work can extend the plan.

Fixed scope

The question, sources, deliverable, and price are written down before analysis begins. New questions enter only through an approved change.

Evidence boundary

The handoff states what the data supports, what remains uncertain, and which decision the finding was designed to inform.

Useful next steps

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Data analytics services questions

Data analytics services investigate a defined business question with available data. Typical work includes cohort and segmentation analysis, funnel analysis, root-cause investigation, variance analysis, and experiment read-outs. The deliverable is a finding with a reproducible method and stated limits, not simply a collection of charts.

Data engineering makes data available and dependable. Business intelligence provides recurring dashboards and reporting. Data analytics investigates a specific question, usually about what happened or why. Predictive analytics estimates what may happen next. If the real need is a permanent product or pipeline, we route the work to that service.

A focused engagement covering one or two related questions starts at $10,000 and usually takes two to four weeks. Deeper or recurring work can take four to eight weeks. Final scope depends on data access, source quality, metric ambiguity, and the number of explanations that need testing.

You receive the finding, the method used to reach it, important limitations, reusable queries or transformation logic where applicable, and a recommendation connected to the original decision. We define key metrics before analysis so another competent analyst can inspect or rerun the work.

RaftLabs does not yet publish a case study for a standalone analysis engagement. Our published GrowViral case shows attribution and performance analytics inside a product we delivered. That is relevant implementation proof, not evidence that every bounded analysis will produce the same commercial result.

Work with us

Bring the question your current reporting cannot answer.

Share the decision, deadline, and systems that may hold the evidence. We will tell you whether the next step is analysis, better data plumbing, a dashboard, or no project at all.

  • Scope and cost agreed before work starts. No surprises. No obligation.
  • Working prototype within 3 weeks of kickoff.
  • Pay by milestone. You see progress before each invoice.
  • 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
  • All conversations are NDA-protected.