Examples of our work in system design, dashboards, and reports that help companies organize operations and make clearer decisions.
Selected work
This section is organized into key work examples to present our experience in reporting, process design, and consulting work in a clearer and easier way to view and understand.
01
Smart dashboards that help you track performance easily and understand your data faster.
Data Analysis & Dashboards
Problem: Scattered employee data and difficulty tracking performance indicators and readiness clearly. Solution: An interactive HR dashboard was designed to provide a complete view of employee indicators, team readiness, and service status.
Outcome: Data clarity and performance tracking improved, enabling faster and more accurate decisions.
Data Analysis & Dashboards
Problem: Having data and analytical results without a clear presentation, making them difficult to understand and use for decision-making. Solution: A structured presentation was prepared to show results clearly, connect them to the business context, and support them with professional visual materials.
Outcome: Information clarity and project result presentation quality improved, making communication and decision-making easier.
Data Analysis & Dashboards
Problem: Unclear sales performance and difficulty analyzing data across periods, regions, and products. Solution: A reporting dashboard was created to display monthly revenue, product distribution, performance growth, and customer analysis interactively.
Outcome: Sales reporting became clearer, making performance analysis and data-driven decision-making easier.
Data Analysis & Dashboards
Problem: Difficulty tracking operational KPIs due to scattered data and the lack of a unified view. Solution: An interactive KPI dashboard was designed to combine production, labor efficiency, waste percentage, and utilization data in a clear and organized view.
Outcome: Performance tracking became easier, operational gaps became clearer, and goals could be monitored more accurately.
02
Designing clear diagrams that organize workflows and connect strategy with execution.
Process Mapping & Operational Design
Problem: Unclear work steps and decision points, causing delays and repeated work. Solution: A workflow diagram was designed to show work stages from requirement analysis to implementation, with decision points and flow between stages.
Outcome: Workflow clarity improved, and operations became easier for the team to understand and execute.
Process Mapping & Operational Design
Problem: Unclear strategic priorities and scattered efforts between departments. Solution: A strategic map was designed to show the main focus areas such as marketing, customer service, and production within a connected and clear structure.
Outcome: Priorities became clearer, and strategy became easier to connect with daily execution.
Process Mapping & Operational Design
An operational map was designed to connect different improvement areas such as marketing, customer service, and productivity within a clear framework that supports performance development.
Outcome: Connecting strategic goals to daily execution became clearer and easier, which helped improve work organization.
03
We use analysis and strategic tools to help you understand your business and make clearer decisions.
5 Whys Analysis
Problem: Focusing on symptoms instead of understanding the root causes of problems. Solution: The 5 Whys method was used to analyze the real causes of problems in a structured way.
Outcome: Problem understanding improved at a deeper level, and solutions became more accurate and effective.
Strategic guide for applying OKR
Problem: Difficulty applying strategic objectives practically within teams. Solution: A simplified guide was prepared to explain how to apply OKR in a practical and easy-to-understand way inside the work environment.
Outcome: Applying objectives became clearer and easier, while improving teams' understanding of the execution process.
Data Strategy Starter Guide
Problem: Investing in advanced analytics tools without having a clear data foundation. Solution: A guide was prepared to explain the importance of building a strong data foundation before moving to complex systems.
Outcome: Decision-making became more informed, with a clear foundation that supports future analysis and development.