Data Analytics

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 decisionsNaviCS
  1. Business dataCRM, ERP, spreadsheets
  2. Governed modelShared KPI definitions
  3. DashboardsBuilt for each audience
  4. InsightWhat changed and why
  5. DecisionAction taken by the team

CH 01The challenge

Business problems we solve

Where organizations typically get stuck before engaging NaviCS for Data Analytics.

  1. Too many versions of the truth

    Different teams report different numbers for the same KPI, and meetings turn into reconciliations.

  2. Manual reporting

    Analysts spend days each month copying data between spreadsheets instead of analyzing it.

  3. Dashboards nobody uses

    Reports are built around available data rather than the questions leaders actually need answered.

  4. Slow access to answers

    Business users wait on a central team for every new cut of the data.

CH 02What we do

Data Analyticscapabilities

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.

CH 03Use cases

Where it makes a difference

Concrete business applications we design and deliver.

  • Use case 01

    Executive performance dashboard

    One view of revenue, pipeline, operations and cost, refreshed automatically.

  • Use case 02

    Sales and pipeline reporting

    Track conversion by stage, source and team directly from CRM data.

  • Use case 03

    Operations monitoring

    Daily visibility into volumes, service levels and exceptions.

  • Use case 04

    Finance reporting

    Month-end packs built from governed data instead of manual consolidation.

CH 04How we deliver

From Business Challenge to Business Outcome

How NaviCS takes Data Analytics from business challenge to business outcome.

  1. Discover

    Understand the business problem, the people involved, the data and systems in place, and what success looks like.

  2. Design

    Define the solution, architecture, data flows and guardrails — and agree on how results will be measured.

  3. Build

    Deliver in short, reviewable increments so stakeholders see working software early and often.

  4. Integrate

    Connect to your CRM, data platforms, APIs and business applications so the solution fits existing workflows.

  5. Deploy

    Release to production with monitoring, access controls, documentation and team enablement.

  6. Improve

    Review usage and outcomes, tune models and workflows, and extend what works to new teams.

CH 05Technology

Technologies we work with

We design around the platforms you already use wherever possible.

  • SQL / PostgreSQL
  • Python
  • CRM integration

CH 06AI 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 systems
NaviCS AI Agent
  • Semantic models
  • CRM
  • Alerts & notifications
  • Collaboration tools
  • Business workflows
Reads context · follows your rules · takes approved actions · logs every step

CH 07Outcomes

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

CH 08FAQ

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.

Line open

Have a business challenge? Let's turn it into an opportunity.

Tell us what you want to improve with Data Analytics. We'll show you how NaviCS would approach it and what a first phase could look like.