01 · Services · Analytics

Data Analytics That Move Metrics

Self-serve analytics, executive dashboards, and predictive models that turn raw data into decisions — and decisions into outcomes.

Many BI deployments go unused because they answer reports, not decisions.
Self-serve analytics breaks down without governed metrics and trusted definitions.
Delivery Snapshot
Strategy
Delivery
Outcomes

Analytics tied to decisions.

Semantic layers, executive dashboards, predictive models, and embedded insights built around business action.

01
0+
Dashboards shipped
02
0+
ML models in prod
03
0
BI platforms mastered
04
0%
Models with monitoring
Why This Matters

Analytics creates value when it changes the decisions teams make every day.

01

Many BI deployments go unused because they answer reports, not decisions.

02

Self-serve analytics breaks down without governed metrics and trusted definitions.

03

Predictive models lose value when they remain in notebooks instead of workflows.

04

Teams need clear adoption paths so insights become actions, not archived dashboards.

What We Offer

Our Data Analytics That Move Metrics Practice.

01 / 04
What We Offer

C-suite ready dashboards that surface the 5 metrics that matter — not the 500 that don't.

LookerTableauPower BI

Executive Dashboards

What We Offer

Governed metric definitions in dbt or Cube — one source of truth across every BI tool.

dbt MetricsCubeLookML

Self-Serve Semantic Layer

What We Offer

Forecasting, churn, propensity, and segmentation models — operationalized into the workflow.

XGBoostProphetMLflow

Predictive Modeling

What We Offer

Customer-facing analytics shipped inside your product — secure, multi-tenant, and white-labeled.

Embed SDKRLSMulti-tenant

Embedded Analytics

Our Expertise

Depth before width.

We've built analytics platforms for finance, retail, and healthcare — turning warehouses full of unused data into the operating system of the business. Every dashboard we ship is tied to a decision; every model we train ships to production.

Decision modeling

Metrics and dashboards shaped around the decisions teams actually need to make every week.

Semantic governance

Shared definitions, modeled dimensions, and access patterns that make self-serve analytics trustworthy.

Operational insight

Forecasts, alerts, embedded analytics, and models delivered into the workflows where action happens.

Technology Stack

Our Core Technology Stack

The platforms, frameworks, and model layers we use most often, presented in a cleaner brand-native system that stays aligned with the CentricaSoft theme.

BI
Looker logo
Looker
Technology
Tableau logo
Tableau
Technology
Power BI logo
Power BI
Technology
MO
Mode
Analytics
Semantic
dbt logo
dbt
Technology
Cube logo
Cube
Cube
Looker logo
LookML
Looker
MY
Malloy
Semantic
ML
XG
XGBoost
Modeling
Meta logo
Prophet
Meta
MLflow logo
MLflow
Technology
scikit-learn logo
scikit-learn
Technology
Embed
Sigma logo
Sigma
Sigma
PR
Preset
Analytics
React logo
Custom React
React
Approach

How We Work.

  1. 01

    Decision Mapping

    We start with the decisions your business needs to make — not the data you happen to have.

  2. 02

    Semantic Modeling

    Governed metric definitions, conformed dimensions, and a single source of truth for every team.

  3. 03

    Dashboard & Model Build

    Cinematic dashboards and production-grade models — paired with the workflow they live inside.

  4. 04

    Adoption & Iteration

    Training, change management, and continuous iteration loops — analytics that gets used, not archived.

System Flow
Lakehouse
Snowflake · BQ
dbt Transformations
Semantic Layer
Metrics · Dimensions
ML Pipeline
Train · Serve
Feature Store
Experimentation
BI Dashboards
Embedded Analytics
Alerts · Workflow
High-level architecture
Retail · Analytics

Demand forecasting for a global apparel brand

22% inventory reduction · $48M annual savings · Q3 2024

Top-20 global retailer
Read Case Study
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