Data

Data Analytics and Business Intelligence

We build KPI dashboards, business intelligence systems, predictive reporting, and analytics workflows using tools like Power BI, Tableau, and modern data platforms.

Why it matters

Dashboards and insights your team can actually use.

Analytics work is not only chart design. Useful BI depends on trusted data definitions, clean metrics, decision context, refresh discipline, and dashboards that teams can actually use in meetings and operations.

Solutyics builds analytics systems around the decisions they support. We help define KPIs, connect sources, model data, design dashboards, and create reporting workflows that reduce spreadsheet dependency.

Primary intent

Turn business data into dashboards and reporting workflows that support decisions.

Fit

Where this work creates leverage.

Ideal for

  • Leadership teams needing reliable KPI visibility
  • Departments stuck in manual reporting
  • Companies consolidating data from multiple systems
  • Teams preparing for predictive analytics or AI

Typical use cases

  • Executive dashboards
  • Sales, finance, and operations reporting
  • Customer and product analytics
  • Predictive reporting foundations

Scope

What Solutyics delivers.

Deliverables

  • Metric and KPI definition
  • Data connection and transformation logic
  • Dashboards and reporting views
  • Role-based reporting structure
  • Documentation for metric ownership and refresh cycles

Considerations

  • Metric definitions must be agreed before dashboard design
  • Data quality issues should be visible, not hidden
  • Dashboards need owners and refresh expectations
  • Reporting should connect to decisions, not vanity metrics

Outcomes

What should improve after the work.

Trusted business metrics

Less manual reporting

Clearer decision visibility

A foundation for advanced analytics

Process

How the work moves

01

Define the decisions

We identify who uses the reports, what decisions they make, and which metrics matter.

02

Model the data

We connect sources, clean definitions, transform data, and create a reliable reporting layer.

03

Design the dashboards

We build dashboards around scanning, comparison, exceptions, and action paths.

04

Embed reporting habits

We document ownership, refresh cycles, access, and how the dashboards should be used.

FAQ

Questions that shape the work.

Which BI tools do you work with? +

We can work with Power BI, Tableau, Looker Studio, custom dashboards, SQL reporting, and modern data platforms depending on the team's needs.

Can you replace manual Excel reporting? +

Yes. We can automate source connections, define metrics, build dashboards, and reduce manual consolidation where data sources are accessible.

How do you make dashboards useful? +

We design around decisions, owners, refresh cycles, comparisons, exceptions, and action paths rather than filling screens with disconnected charts.

Can analytics connect to ERP or CRM systems? +

Yes. We can connect ERP, CRM, databases, spreadsheets, APIs, and other operational systems if access and data quality are available.

Do we need a data warehouse first? +

Not always. Smaller reporting needs can start with direct connections or lightweight models. A warehouse becomes useful when sources, history, governance, or performance requirements grow.

Next

Make reporting easier to trust and act on.

Bring the reports, systems, and questions leadership keeps asking. We will help design the analytics layer.

Discuss a project