01
Data Analysis
Questions need evidence. Analysts explore data to explain trends, find causes and recommend actions.
Scope of support
- Exploratory analysis
- Trend and cohort analysis
- Statistical checks
- Insight summaries
- Recommendation notes
- Ad hoc questions
OutcomeLeaders understand what is happening and why.
02
Business Intelligence Dashboards
The right numbers should be one click away. BI dashboards show key metrics live and in a clear form.
Scope of support
- KPI definition
- Dashboard design
- Data source connections
- Scheduled refresh
- Access control
- Dashboard training
OutcomeKey metrics are visible at a glance, always current.
03
Data Engineering and Pipelines
Reports rely on data that flows correctly. Data engineers build pipelines that collect and prepare data automatically.
Scope of support
- Data source extraction
- Transformation logic
- Data warehouse setup
- Pipeline scheduling
- Data quality checks
- Pipeline monitoring
OutcomeData arrives clean and on time, every time.
04
Data Cleaning and Preparation
Messy data leads to wrong answers. Cleaning removes duplicates, fixes errors and standardizes records.
Scope of support
- Duplicate removal
- Error correction
- Format standardization
- Missing value handling
- Data validation
- Clean dataset delivery
OutcomeData is accurate and ready for analysis.
05
Predictive Analytics
Planning improves when the future is estimated. Predictive analytics forecasts demand, churn and revenue from past data.
Scope of support
- Demand forecasting
- Churn prediction
- Revenue projections
- Scenario modeling
- Forecast accuracy checks
- Forecast reports
OutcomePlans are based on tested forecasts.
06
Database Management
Databases hold the most valuable records. Database management keeps them organized, fast and backed up.
Scope of support
- MySQL, PostgreSQL and SQL Server
- Schema design
- Query optimization
- Backups and restores
- User permissions
- Replication and failover
OutcomeDatabases stay fast, safe and well organized.
07
Data Science
Some questions need statistics and models. Data scientists explore data, test ideas and build models that guide decisions.
Scope of support
- Statistical analysis
- Forecasting models
- Customer segmentation
- Experiment and A/B test analysis
- Model explanation
- Findings reports
OutcomeDecisions are backed by sound analysis.
08
Analytics Engineering
Reports are only as good as the data behind them. Analytics engineers model and test the data so every dashboard uses the same trusted numbers.
Scope of support
- Data modeling
- Metric definitions
- Transformation pipelines
- Data quality tests
- Documentation
- Warehouse upkeep
OutcomeEvery report uses the same trusted numbers.
09
SQL and Database Development
Fast, correct queries keep systems and reports running. SQL developers write queries, procedures and database structures that perform well.
Scope of support
- Query writing and tuning
- Stored procedures
- Views and functions
- Data import and export scripts
- Data migration scripts
- Report queries
OutcomeData is quick to reach and correct.