Turn business data into decisions people can act on.
We design reporting and analytics around the decisions your teams make — with consistent definitions, trusted data and dashboards people actually open.
From business data to decisions
NaviCS- Business dataCRM, ERP, spreadsheets
- Governed modelShared KPI definitions
- DashboardsBuilt for each audience
- InsightWhat changed and why
- DecisionAction taken by the team
The challenge
Business problems we solve
Where organizations typically get stuck before engaging NaviCS for Data Analytics.
01
Too many versions of the truth
Different teams report different numbers for the same KPI, and meetings turn into reconciliations.
02
Manual reporting
Analysts spend days each month copying data between spreadsheets instead of analyzing it.
03
Dashboards nobody uses
Reports are built around available data rather than the questions leaders actually need answered.
04
Slow access to answers
Business users wait on a central team for every new cut of the data.
What we do
Data Analytics capabilities
Scope we deliver end to end, or alongside your own team.
KPI and metrics design
Agree on definitions, owners and targets for the measures that run the business.
Semantic models
Reusable, governed data models so every report calculates a KPI the same way.
Dashboards and reports
Executive, operational and team-level dashboards designed for quick reading.
Self-service analytics
Enable business users to explore data safely without breaking shared definitions.
Reporting automation
Replace manual spreadsheet processes with scheduled, refreshed data.
Analytics governance
Row-level security, workspace structure, certification and change control.
Use cases
Where it makes a difference
Concrete business applications we design and deliver.
Executive performance dashboard
One view of revenue, pipeline, operations and cost, refreshed automatically.
Sales and pipeline reporting
Track conversion by stage, source and team directly from CRM data.
Operations monitoring
Daily visibility into volumes, service levels and exceptions.
Finance reporting
Month-end packs built from governed data instead of manual consolidation.
How we deliver
From Business Challenge to Business Outcome
How NaviCS takes Data Analytics from business challenge to business outcome.
Discover
Understand the business problem, the people involved, the data and systems in place, and what success looks like.
Design
Define the solution, architecture, data flows and guardrails — and agree on how results will be measured.
Build
Deliver in short, reviewable increments so stakeholders see working software early and often.
Integrate
Connect to your CRM, data platforms, APIs and business applications so the solution fits existing workflows.
Deploy
Release to production with monitoring, access controls, documentation and team enablement.
Improve
Review usage and outcomes, tune models and workflows, and extend what works to new teams.
Technology
Technologies we work with
We design around the platforms you already use wherever possible.
- SQL / PostgreSQL
- Python
- CRM integration
AI agent integration
Connected to how your business runs
Analytics becomes more useful when it reaches people where they work. NaviCS agents can surface KPI changes, answer follow-up questions and trigger actions from insights.
See how NaviCS agents act across systemsReads context · follows your rules · takes approved actions · logs every step
Outcomes
What you can expect
The business results each engagement is designed around. Specific targets are agreed with you during discovery.
- One agreed definition for each business KPI
- Less time spent preparing reports, more time acting on them
- Dashboards designed around real decisions
- Secure, governed access to data across teams
Case studies
Case study — coming soon
We are preparing published Data Analytics case studies. Ask us for a walkthrough of relevant work during your demo.
FAQ
Data Analytics questions, answered
Which BI tools do you work with?
We work within the BI tools you already license and build on SQL-based data platforms. Tool choices are confirmed with you during discovery.
Can you improve our existing dashboards rather than start over?
Yes. We often begin by reviewing current reports, fixing data model and definition issues, and consolidating overlapping dashboards.
How do you handle data security in reports?
Through workspace design, role-based access and row-level security so people only see the data they are entitled to.
What if our data is spread across many systems?
We connect the sources through a data platform or pipelines first. See our Data Engineering service for how we build that foundation.
Related services
Often combined with
AI Analytics
Ask business questions in plain language and get governed, explained answers.
Learn moreData Engineering
Reliable pipelines, lakehouses and warehouses that analytics and AI can depend on.
Learn moreEnterprise Planning
Connected budgeting, forecasting and performance reporting built on actuals.
Learn more