RaspberryFla Data & Analytics Consultancy
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Services

One team, six ways to help

Each service can stand alone, but the best results come from combining them step by step according to your business priorities.

Engagement models

Pick the shape that fits best

There is no "unlimited hours" model. Every shape has clear deliverables and can be stopped without penalty.

First step

Data Assessment

A thorough audit of data sources, quality, governance, and organisational readiness. Ideal before any large investment.

  • Duration 2–4 weeks
  • Findings report + 12-month roadmap
  • Impact & cost estimate per initiative

From IDR 45 million

Most chosen

Monthly Retainer

Our senior team becomes an extension of your data team: working the backlog, maintaining pipelines, and coaching internal staff.

  • A quota of senior hours per month
  • Ongoing maintenance & monitoring
  • Weekly knowledge-transfer sessions

From IDR 60 million/month

Large projects

Dedicated Squad

A cross-disciplinary squad (analysts, engineers, data scientists) working full time towards one strategic goal.

  • 3–6 people, two-week sprints
  • Jointly agreed KPIs
  • Option to hand over to the internal team

Scope-based

Detail

What we actually work on

Every service has concrete outputs: documents, code, models, or dashboards that can be audited.

Service 01

Data Strategy & Assessment

We assess your organisation's data maturity and lay out a realistic 12-month roadmap, not technology promises.

  • Audit of data quality, governance, and architecture
  • Maturity assessment across 6 dimensions (DAMA-DMBOK)
  • A phased roadmap with estimated impact and cost
  • A prioritisation framework for analytics use cases
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Service 02

Business Intelligence & Dashboards

Dashboards that operations teams open every morning, not just during the monthly review.

  • Metric layer design and consistent KPI definitions
  • Executive, operational, and self-service dashboards
  • Query performance and semantic model tuning
  • User training and measured adoption
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Service 03

Data Engineering & Pipelines

Pipelines that are idempotent, monitored, and quietly run in the background without manual babysitting.

  • Modern data stack: ingestion, warehouse, transform
  • Scheduled orchestration with alerts and retries
  • Dimensional data modelling (star schema)
  • CI/CD for schema changes and transformations
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Service 04

Advanced Analytics & Forecasting

Answering cause-and-effect questions: who will churn, which products are thinning out, how much stock next month.

  • Demand forecasting and capacity planning
  • Customer segmentation, churn, and propensity models
  • Pricing, promotion, and basket analysis
  • Experiment design and incremental measurement
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Service 05

Data Governance & Quality

One definition for one metric. No more three different numbers for "sales" across three divisions.

  • Data catalogue, lineage, and ownership
  • Data quality rules with automated testing
  • Access policy, classification, and PDP compliance
  • Data governance operating model
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Service 06

AI & MLOps

From notebook to production: models that are monitored, retrained, and have a clear owner.

  • Model registry, versioning, and automated retraining
  • Drift and performance degradation monitoring
  • LLM/RAG analytics assistants for business teams
  • Guardrails, evaluation, and model documentation
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Context

Sectors we understand

Industry context lets us quickly recognise recurring problem patterns.

  • Banking & Fintech
  • Retail & FMCG
  • Manufacturing
  • Logistics & Supply Chain
  • Telecommunications
  • Healthcare & Pharma
  • Energy & Utilities
  • Public Sector
Flow

From the first conversation to handover

  1. 01

    Discovery

    We sit down with the owners of the business problem, not just the IT team. The goal is one thing: define the question worth answering with data and estimate its value.

  2. 02

    Data Assessment

    We audit data sources, quality, access, and infrastructure readiness. The output is an honest list of gaps, including what cannot be done yet.

  3. 03

    Solution Design

    Architecture, data models, metric definitions, and user experience design come together into one blueprint we approve together.

  4. 04

    Implementation

    Iterative work in two-week sprints. Every iteration produces value that real users can see and test.

  5. 05

    Enablement & Handover

    Documentation, training, and coaching until your internal team can run and extend the solution on its own.

Next step

Not sure which service you need?

Describe the problem and we will help map out what is urgent and what can wait. The initial session is free.

Book a consultation official@raspberryfla.web.id
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  • NDA before data is shared
  • Free, with no obligation to continue