MINOVATIVE
BI & Analytics

Data Is Everywhere.
Insight Is Rare.

We build the analytics foundations — from data warehouse to executive dashboard — that turn millions of raw records into clear, actionable intelligence your whole organisation can act on.

SnowflakedbtTableauPower BILookerBigQueryApache SparkAirflow
Analytics Services

The Full Analytics Stack. End to End.

From raw data ingestion to board-ready executive dashboards — we cover every layer of the modern analytics stack.

Executive Dashboards

Real-time C-suite KPI dashboards consolidating every system into a single source of truth. Beautiful, fast, and always current — built for decisions, not decoration.

TableauPower BILookerMetabaseSuperset

Data Warehouse & Lakehouse

Modern cloud data warehouse on Snowflake, BigQuery, or Redshift. Schema design, dbt modelling, data quality, governance, and full lineage from source to dashboard.

SnowflakeBigQueryRedshiftdbtDelta Lake

Self-Service BI

Empower every business user to explore data, build reports, and share insights without needing engineering support — with semantic layers that actually make it work.

MetabaseSupersetPower BILookerGrafana

Predictive Analytics

ML models embedded in your BI platform to forecast demand, predict churn, flag anomalies, and surface hidden opportunities before they become visible to competitors.

PythonScikit-learnProphetBigQuery MLdbt metrics

Real-Time Streaming Analytics

Sub-second streaming pipelines delivering live metrics from every data source — no more stale morning reports based on yesterday's data.

Apache KafkaFlinkSpark StreamingKinesisClickHouse

Data Engineering & ETL

Robust pipelines ingesting, transforming, and loading data from 50+ sources with full lineage, automated testing, SLA monitoring, and zero-downtime deployments.

AirflowdbtFivetranStitchGreat Expectations

From Raw Data to Board-Ready Insights

Our structured six-phase delivery process eliminates analytics project failures and delivers trusted dashboards on time, every time.

01

Data Discovery & Audit

Source mapping, schema review, data quality scoring, volume estimation, business requirements alignment, and analytics maturity benchmarking to ground the engagement in real data realities.

02

Architecture Design

Warehouse selection, dimensional modelling (Kimball/OBT), medallion architecture, semantic layer design, and infrastructure sizing — the blueprint for a trustworthy data platform.

03

Data Engineering

ELT pipeline build, dbt model development, data contract definitions, automated testing, orchestration with Airflow or Prefect, and full observability instrumentation.

04

Semantic Layer & Metrics

Business logic centralisation, metric definitions, calculated fields, row-level security configuration, and certified dataset publishing — the single source of truth for your numbers.

05

Dashboard & Report Build

Executive dashboards, operational reports, self-service templates, mobile-responsive layouts, accessibility compliance, and performance optimisation for sub-second load times.

06

Training & Handover

User training, data literacy workshops, comprehensive documentation, ongoing support SLA, quarterly data reviews, and post-launch dashboard iteration cycles.

Fast Data. Trusted Data.
Actionable Data.

We apply data engineering best practices — dbt testing, data contracts, lineage tracking, and SLA monitoring — so your team can trust every number in every dashboard, every time.

<50ms

average dashboard query time across production environments

99.8%

data pipeline uptime across managed analytics stacks

Dimensional Modelling

Kimball, OBT, star/snowflake schemas built for query speed

Data Quality & Testing

dbt tests, Great Expectations, automated anomaly detection

Row-Level Security

User-level data access controls across all BI tools

Data Lineage

Full column-level lineage from source to dashboard

Semantic Layer

Centralised business logic via dbt metrics, Cube.js, or LookML

BI Governance

Content management, certified datasets, usage analytics

The Modern Analytics Stack We Build

Best-in-class tools across every layer of the data stack — selected for your specific workloads, not vendor preference.

Data Warehouses
SnowflakeGoogle BigQueryAmazon RedshiftDatabricksClickHouse
Transformation & Modelling
dbtApache SparkPandasSQLMeshDataformGreat Expectations
Orchestration
Apache AirflowPrefectDagsterMageLuigiGitHub Actions
BI & Visualisation
TableauPower BILookerMetabaseApache SupersetGrafana
Ingestion & Streaming
FivetranStitchApache KafkaAWS KinesisDebeziumAirbyte

Why Minovative for BI

Analytics Engineers, Not Just BI Devs

Our team thinks in data models, not just dashboards. We build the warehouse layer right so your BI tools are fast and your data is always trustworthy — the foundation matters.

  • dbt-certified engineers
  • Dimensional modelling experts
  • Data quality first

Business-Outcome Driven

Every dashboard we build is tied to a business decision. We start with the question, then build the data model — not the other way around. No vanity metrics, only actionable insight.

  • Decision-first design
  • OKR-linked metrics
  • Outcome tracking

Self-Service That Actually Works

We build semantic layers and training programmes so your business users genuinely stop waiting on data teams for every report — real data democratisation, not just a slogan.

  • Semantic layer setup
  • User training
  • Data literacy programmes

250+

Analytics Projects

<50ms

Query Performance

99.8%

Pipeline Uptime

40+

Data Sources Integrated

Analytics That Changed the Numbers

Real-world analytics transformations — each measured in outcomes, not outputs.

RetailMetrics

Retail / eCommerce

Built a unified Snowflake warehouse and Tableau dashboard suite for a $500M retailer, reducing report generation time from 3 days to 90 seconds with automated dbt pipelines.

Key Outcome

3 days → 90 seconds reporting

SnowflakedbtFivetranTableauAirflow

FinSight

Financial Services

Real-time trading analytics platform on ClickHouse processing 4M events per second with sub-20ms dashboard refresh, replacing a batch system that ran nightly.

Key Outcome

4M events/sec, <20ms refresh

ClickHouseApache KafkaGrafanaPythondbt

HealthBoard

Healthcare

Patient outcomes analytics platform for a 12-hospital network, enabling clinicians to identify high-risk patients 48 hours earlier with ML-powered predictive scoring.

Key Outcome

48hr earlier patient risk detection

BigQuerydbtLookerPythonVertex AI
Analytics Experts

Ready to Make Every Decision Data-Driven?

Get a free Data Readiness Assessment — we audit your current data stack, identify gaps, and deliver a prioritised analytics roadmap in 5 business days.