- Project requirements
- Expected deadlines
- Team composition
- The chosen technologies and platforms
- Customization time
Providing analysis that inspires actions
*Mindz Data solves complex data and analytics challenges that enable your business to:
- Have a single point of truth
- Make data-driven decisions
- Discover new markets and opportunities
Why do you need Business Intelligence services?
How We Visualize BI Dashboards
Symbol map | Line chart | Bar chart | Pie chart |
Heat map | Funnel chart | Connectivity chart | Scatterplot |
Sparkline | Matrix | Pivot table, etc. |
BI Framework by Data Mindz
ScienceSoft has developed a proprietary BI framework, which we use in our projects to ensure that the delivered BI solutions cover all the functions a comprehensive BI solution should perform.
1
Planning
- Trend analysis – identifying opportunities for a company’s business growth and challenges it is likely to face.
- Forecasting and what-if scenario modeling – anticipating trends and outlining scenarios that guarantee success.
- Plan analysis – looking for mismatches, bottlenecks or underutilized capacity in strategic and tactical planning, etc.
2
Plan execution and performance monitoring
- Performance assessment – measuring business performance with relevant internal and external benchmarks.
- Plan/actual comparison – comparing planned vs. actual performance to find deviations.
- Root cause analysis – finding reasons for lower than planned performance.
3
Decision-making
- Getting a comprehensive view of all corporate data with the slice-and-dice capability to examine data from different viewpoints (e.g., by time, organizational units, product categories, customer segments).
- Highlighting growth opportunities and potential risks.
- Drilling down and conducting correlation analysis to establish the cause-effect relationship between variables.
- Conducting change impact analysis.
4
Optimization
Optimizing internal processes or operations by employing business analytics insights.
Our business intelligence solutions
Enterprise intelligence
- Company-wide data consolidation and storage.
- Company’s performance monitoring and analysis.
- Strategic and operational planning.
Operational intelligence
- Operational process monitoring and analysis.
- Recognizing bottlenecks in operational processes.
- Operational performance prediction and forecasting.
Customer intelligence
- Creating a 360-degree customer view.
- Customer behavior analytics and customer modeling.
- Customer relationship management (personalized marketing, cross-selling and upselling, customer churn management, etc.).
Financial intelligence
- Keeping track of a company’s revenue, expenses and profitability.
- Financial performance analysis.
- Financial planning and budgeting.
- Financial risk forecasting.
Brand and product intelligence
- Product/service performance analysis.
- Product/service portfolio optimization.
- Brand awareness analysis.
- Competitor benchmarking.
Supply chain intelligence
- Supply chain visibility and analysis.
- Identification of demand drivers, demand planning and forecasting.
- Supply chain risks management.
- Supply chain cost modeling and optimization.
Transportation and logistics
- Operational capacity planning and optimization.
- Static and dynamic route optimization and planning.
- Data-driven fuel consumption estimation.
Production intelligence
- Production process analysis and optimization.
- Overall equipment effectiveness monitoring and analysis.
- Equipment predictive maintenance.
Enterprise asset intelligence
- Enterprise asset usage analytics.
- Enterprise asset life cycle management.
- Enterprise asset investment planning.
HR
- Employee performance monitoring and analysis.
- Workforce planning.
- Employee churn prediction and management.
- Employee recruiting analysis.
What impacts your project duration
The time your business intelligence project will last depends mostly on the factors mentioned below.
What affects your project costs
Traditionally, we consider the list of things below to estimate the BI and reporting project cost.
- Project scope and complexity
- Chosen technology
- Project completion urgency
- Engagement model: Fixed Price, Time and Material, Dedicated Team
- Chosen platform