Data Analytics & Business Intelligence
    Data Analytics & Business Intelligence

    Data Analytics & Business Intelligence Solutions

    Data warehousing, BI dashboards, predictive analytics and AI-augmented insight delivery — engineered by an ISO 27001 certified data analytics company in India. Turn raw data into decisions.

    How It Works

    Data Audit
    Pipeline Design
    Warehouse Build
    Dashboards
    Embed AI

    Data analytics services we deliver

    Proeffico's data analytics practice turns scattered transactional data into a governed single source of truth — and the dashboards, alerts and AI models that turn that truth into decisions.

  1. Data warehousing on Snowflake, BigQuery, Redshift, or Postgres for lean budgets
  2. ETL / ELT pipelines via dbt, Airbyte, Airflow, Fivetran or custom Python connectors
  3. Self-serve BI on Looker, Power BI, Tableau, Metabase and Apache Superset
  4. Predictive analytics — demand, churn, credit, maintenance, replenishment models
  5. AI-augmented analytics — LLM-powered ad-hoc query, narrative summaries, anomaly alerts
  6. Real-time analytics on ClickHouse, Pinot, Materialize for sub-second customer-facing dashboards
  7. Problems we solve

    The reports that take three days to produce. The metrics that disagree across tools. The forecasts that miss because someone exported to Excel and forgot to refresh.

  8. Multiple dashboards showing different numbers for the same metric
  9. Critical reports stuck in one analyst's head or one analyst's laptop
  10. Forecasts done in Excel — outdated the moment data refreshes
  11. Operational decisions made on gut because the data is hours/days stale
  12. Industries we serve

    Manufacturing

    OEE dashboards, yield analytics, downtime root-cause, vendor scorecards.

    Retail & QSR

    Same-store sales, basket analytics, dealer performance, store P&L.

    BFSI

    Risk dashboards, portfolio analytics, collection scorecards, regulatory reporting.

    Logistics

    Cost-per-shipment, OTIF, route profitability, fleet utilisation.

    Healthcare

    Patient flow, OR/bed utilisation, billing analytics, payer-mix dashboards.

    SaaS / Tech

    Activation funnel, retention cohorts, NRR/GRR, product-led growth metrics.

    Technologies & frameworks

    Warehouses
    Snowflake · BigQuery · Redshift · ClickHouse · Postgres · Databricks
    Ingestion
    Airbyte · Fivetran · Stitch · Kafka · custom Python/Node connectors
    Transformation
    dbt · Dataform · Spark · Airflow · Prefect · Dagster
    BI
    Power BI · Tableau · Looker · Metabase · Superset · Sigma
    ML / forecasting
    Prophet · XGBoost · scikit-learn · Vertex AI · SageMaker
    Reverse-ETL
    Hightouch · Census · Rudderstack · custom syncs

    Delivery lifecycle

    01

    Data audit

    Catalog every source, every consumer, every metric. Find the disagreements. Frame the truth model.

    02

    Pipeline design

    Source → staging → warehouse → marts. SLA per table. Lineage and observability baked in.

    03

    Build

    dbt-based modelling. Code-reviewed transformations. Tests on every metric.

    04

    Dashboards

    BI tool aligned to consumers — execs, ops, customer-facing. Self-serve where appropriate.

    05

    Embed AI

    Predictive models on top of the warehouse. LLM-powered narrative + ad-hoc query for non-technical users.

    06

    Operate

    SLAs, data-quality alerts, drift monitoring, monthly metric reviews with the business.

    The economics — ROI Benefits

    5-10×

    Faster monthly close and management reporting after warehouse-led BI roll-out.

    30-50%

    Reduction in 'spreadsheet ops' time across finance, ops, marketing.

    2-4 wks

    Typical time-to-first-dashboard on a contained domain.

    100%

    Data ownership — your warehouse, your dbt repo, your IP.

    Selected case studies

    Manufacturer — single-source-of-truth OEE

    4 plants unified · 60+ KPIs · monthly close 5 days → 6 hours.

    NBFC — risk dashboard refresh

    Real-time portfolio risk · 80+ data sources unified · regulatory reporting time-to-file down 70%.

    D2C retailer — basket + cohort analytics

    NRR insight surfaced 22% wallet-share opportunity · campaign ROI tripled.

    AI-augmented analytics — your BI gets a brain

    LLM-powered analytics is where modern BI is going. We embed natural-language query, narrative summaries and predictive intelligence on top of your warehouse so non-technical users get answers, not SQL.

    • Natural-language query — 'why did sales drop in West region last week?' returns a chart and explanation
    • Narrative report summaries — every dashboard gets a one-paragraph 'so what' written by an LLM
    • Predictive alerts — anomaly detection on KPIs with root-cause hypothesis suggested
    • Conversational analytics — Slack/Teams bot that answers data questions on demand
    • On-prem private LLMs for regulated sectors that can't send data to OpenAI

    On-prem private LLM development

    Run Llama, Mistral or fine-tuned models behind your firewall. We handle GPU sizing, RAG pipelines, observability and the secure SDLC around them.

    Talk to our AI engineering team

    Security & compliance

    ISO 27001:2022 certified — data delivery within ISMS scope.

    Column-level RBAC + dynamic data masking on sensitive PII columns.

    Audit trail for every query, every export, every model run.

    Encryption at rest and in transit; KMS-managed keys; CMEK in BigQuery / Snowflake.

    DPDP Act 2023 + GDPR aligned; DPAs on request.

    Data lineage and impact analysis required before any prod transformation change.

    Why pick Proeffico for data analytics

    Outcome-first — every dashboard ties to a decision a real person makes.
    dbt-led, code-reviewed transformations. No 'magic spreadsheet' nonsense.
    Self-serve done right — non-technical users get answers without bothering analysts.
    AI augmented — LLM-powered query + narrative + alerts built in, not bolted on.
    ISO 27001 certified secure data engineering.
    100% data and code ownership — your warehouse, your repo.

    Client testimonials

    "Their data team killed three days of monthly close work. The finance team finally believes its own dashboards."

    — CFO, mid-market FMCG

    "Risk-portfolio refresh was T+2. Now it's near-real-time. Our regulatory filings shipped 70% faster."

    — Head of Risk, NBFC

    "Cohort dashboards unlocked a 22% wallet-share opportunity we'd been blind to for two years."

    — CMO, D2C retailer

    Frequently asked questions

    Which data warehouse should we pick — Snowflake, BigQuery, or Redshift?+

    Honest answer: depends on your cloud allegiance and team skillset. For lean budgets, ClickHouse or Postgres goes a long way. For enterprise scale with predictable SQL workloads — Snowflake. For Google-native shops — BigQuery. For AWS-native and SQL-Server-trained teams — Redshift. We'll recommend after seeing your data volumes and team profile, not before.

    How long does a data warehouse / BI implementation take?+

    First dashboard on a contained domain: 3-6 weeks. Full enterprise warehouse with 10+ source systems and self-serve BI: 4-8 months. Mid-complexity migrations from Excel / spreadsheet ops to a proper warehouse typically land in 8-14 weeks.

    How much does data analytics cost in India?+

    Indicative ranges: ₹8-20 lakh for a focused BI roll-out on a single domain, ₹30 lakh-1.5 Cr for an enterprise warehouse programme, ₹2-8 lakh/month for managed analytics + ongoing dashboard evolution. ROI typically pays back in 6-9 months.

    Can you embed AI into our existing Power BI / Tableau dashboards?+

    Yes — that's one of our most-requested engagements. We add LLM-powered narrative summaries, natural-language query, predictive alerts and anomaly detection on top of your existing BI stack via API integration. Typical integration spans 4-8 weeks.

    Who owns the data, code and dashboards we build?+

    You do — 100%. dbt repo in your GitHub org, warehouse in your cloud account, BI workspace under your tenant. Proeffico has working access, not ownership.

    Can you run predictive analytics — demand forecasting, churn, credit scoring?+

    Yes. We build production-grade predictive models on top of the warehouse, deployed with monitoring, fallback strategies and drift detection. Common use cases: demand forecasting (Prophet/XGBoost), churn (cox or boosted tree), credit (logistic + boosted), predictive maintenance (anomaly detection on telemetry).

    Ready to Get Started?

    Let's discuss how we can tailor this solution to your business needs.

    Book a Consultation

    Proudly Associated With

    ISO Certified
    Digital India
    Make in India
    Startup India
    Start in UP
    CII Centre of Excellence
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