Trust before charts
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.
Data
Data service track
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.
Approach
Dashboards and insights your team can actually use.
The work is structured around explicit decisions and usable outputs rather than a generic delivery template.
Decision-led analytics
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.
Fit
Where this creates leverage
The strongest engagements have a clear operating constraint, decision, workflow, or delivery risk to improve.
Best fit
Conditions that make the work valuable
- 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
Situations the service can address
- Executive dashboards
- Sales, finance, and operations reporting
- Customer and product analytics
- Predictive reporting foundations
Deliverables
What Solutyics actually delivers
Each workstream is labelled for the outcome or artifact it is responsible for, not its position in a template.
Metric framework
Metric and KPI definition
Data preparation
Data connection and transformation logic
Decision dashboards
Dashboards and reporting views
Access and reporting
Role-based reporting structure
Metric governance
Documentation for metric ownership and refresh cycles
Process
How the work moves
A visible sequence of decisions, working outputs, review points, and handover, rather than a black-box delivery cycle.
Define the decisions
We identify who uses the reports, what decisions they make, and which metrics matter.
Model the data
We connect sources, clean definitions, transform data, and create a reliable reporting layer.
Design the dashboards
We build dashboards around scanning, comparison, exceptions, and action paths.
Embed reporting habits
We document ownership, refresh cycles, access, and how the dashboards should be used.
Outcomes
What should improve after the work
Trusted business metrics
Less manual reporting
Clearer decision visibility
A foundation for advanced analytics
FAQ
Questions that shape the work
The answers below clarify scope, collaboration, ownership, and the conditions that usually affect delivery.
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 step
Make reporting easier to trust and act on.
Bring the reports, systems, and questions leadership keeps asking. We will help design the analytics layer.