NASBIX TECHNOLOGIES

BI dashboards leaders trust in meetings

Semantic models, KPI definitions everyone shares, and role-based dashboards in Power BI, Looker, Metabase, or embedded in your product—built on governed data from our Karachi delivery center.

Start a BI brief Big data engineering

Metrics & definitions Executive & ops dashboards Governed self-serve Embedded analytics

Business intelligence

One version of revenue—not twelve spreadsheets

BI fails when every team exports CSVs, KPIs are defined three ways, and dashboards break silently after a schema change. NASBIX builds a metrics layer on your warehouse—documented SQL or semantic models—then dashboards and explore experiences that match how executives and operators actually decide.

We implement on Snowflake, BigQuery, Redshift, or Postgres marts delivered by data engineering, and visualize in Power BI, Looker, Tableau, Metabase, or custom embedded charts in your SaaS. Connect to ML when predictions belong beside historical KPIs.

Workshops to align definitions before pixels—revenue, margin, churn, SLA, whatever drives the business
Row-level security and workspace governance so teams see only what they should
Refresh schedules, data quality alerts, and ownership so dashboards stay trustworthy
Enablement: short training and docs so BI is not a permanent ticket queue to engineering

Digital marketing analytics → SaaS industry →

Business intelligence by NASBIX TECHNOLOGIES — Metrics · Dashboards · Decisions

Who we help

Built for operators and leadership—not chart junk

First BI platform, dashboard refresh, and rescue when nobody trusts the numbers.

Executive & finance

Board-ready KPIs, variance views, and drill paths that answer “why” without another ad hoc request.

Operations & support

SLA, throughput, and queue dashboards tied to the same definitions engineering uses.

Product & growth

Funnels, cohorts, and campaign performance aligned with product analytics where both exist.

What you get

BI capabilities that matter

From modeled data to dashboards people open every Monday—not shelfware.

Metrics layer

Central definitions for KPIs, dimensions, and grain—dbt metrics, LookML, or documented SQL views.

Dashboards

Role-based executive, team, and operational views with consistent filters and drill-through.

Self-serve explore

Governed datasets so analysts explore without breaking production or duplicating logic.

Embedded BI

In-app analytics for customers or partners—multi-tenant security and theming when product requires it.

Alerts & subscriptions

Threshold alerts, scheduled PDFs, and Slack/email hooks when metrics move unexpectedly.

Adoption & training

Playbooks, office hours, and dashboard catalogs so BI investment gets used after launch.

BI + data platform

Visualization on trustworthy pipes

We do not paint charts on broken ETL—when marts are missing, we scope data work explicitly or partner with your internal platform team.

Power BI, Looker, Tableau, Metabase, Superset—tooling matched to license and skill set
Marketing and sales views integrated with CRM and ads data when growth needs one pane
E-commerce merchandising and inventory dashboards for retail operators
Mobile export pipelines when app events must meet warehouse KPIs
Performance tuning: aggregations, materialized views, and extract strategies that stay fast
Access reviews and PII masking aligned with enterprise policy

Big data engineering → AI & copilots on data →

BI layered on modern data platforms — Warehouse · Semantic layer · BI

How we deliver

From metric chaos to governed reporting

Align definitions first, ship highest-value dashboards early, expand domains iteratively.

01 · DiscoverQuestions stakeholders need answered, sources, tools, roles, and trust gaps today.
02 · ModelMetric definitions, semantic layer, security rules, and mock dashboard review.
03 · BuildDashboards live, QA on numbers against source queries, refresh and alerts configured.
04 · EnableTraining, documentation, handoff to owners, and backlog for next domains.