FROM DATA TO DECISIONS
Turning Data, Evidence and Problems into Clear Insights and Practical Solutions
Data Analytics • Excel Dashboards • Research & Evidence • Problem Solving • Digital Solutions
I help organizations and individuals transform complex data, information, evidence, and real-world challenges into meaningful insights, better decisions, and practical solutions.
Data is not only numbers.
Research is not only collecting information.
Technology is not the final goal.
The real value comes from understanding the problem, examining reliable evidence, analyzing what actually happened, and translating findings into useful action.
Understand → Evidence → Analyze → Solve → Improve
WHAT I DO
01 — Data Analytics & Insight
Turning raw data into information that helps people understand situations, identify patterns, and make better decisions.
Services may include data cleaning, formula-driven analysis, KPI definition, Excel dashboards, data visualization, performance reporting, and concise business insight summaries.
The analytical process may include:
Data Collection
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Data Cleaning & Validation
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Data Exploration
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Pattern & Anomaly Detection
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Analysis
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Insight Development
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Recommendation
The objective is to answer practical questions:
What happened?
Why did it happen?
What patterns or anomalies require attention?
What should we investigate next?
What action can be considered?
Typical deliverables may include an editable Excel workbook, structured source data, auditable calculations, KPI summaries, charts, dashboard views, and short business insights.
02 — Research & Evidence Intelligence
Turning public information, official data, primary sources, research publications, and other evidence into structured findings and recommendations.
The research process follows:
Question
↓
Understand
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Research Plan
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Evidence Collection
↓
Evidence Verification
↓
Analysis
↓
Finding
↓
Recommendation
Research should make it possible to trace:
Where did the evidence come from?
What does the evidence actually show?
What are the limitations?
What conclusions can reasonably be made?
→ Explore ArrezaMP Research Hub
03 — Problem Solving & Decision Support
Complex problems are rarely solved by addressing symptoms alone.
The approach begins by understanding the context, evidence, constraints, risks, and expected outcomes.
UNDERSTAND
What is actually happening?
↓
EVIDENCE
What information supports our understanding?
↓
ANALYZE
What patterns, relationships, causes, or risks can be identified?
↓
SOLVE
What practical response can be developed?
↓
IMPROVE
Did it work, and what should be improved next?
The objective is not simply to produce more information.
The objective is to produce better understanding for better decisions.
04 — Digital Solutions
Technology should support the problem rather than become the problem.
Digital solutions may include:
• Data analytics tools
• Dashboards
• Decision-support systems
• Websites and web applications
• Workflow automation
• Knowledge and content systems
• Interactive prototypes
• AI-assisted workflows
• Research and monitoring systems
The development approach follows:
Problem → Requirement → Solution Design → Prototype → Validation → Improvement
FEATURED WORK
Portfolio work is developed around five connected areas:
Excel Dashboards & Reporting
Transforming structured data into auditable KPIs, visual dashboards, and concise business insights.
Data Analytics & Insight
Finding patterns, anomalies, relationships, and meaningful information from data.
Research & Evidence Intelligence
Transforming reliable evidence into structured analysis, findings, and recommendations.
Decision Support
Turning analytics and research into information that can support action and decision-making.
Digital Solutions
Building prototypes, tools, workflows, and digital systems based on identified problems and requirements.
DATA ANALYTICS & INSIGHT
From Data to Findings
Data analysis becomes useful when it reveals something that deserves attention.
Analytical work may involve:
• Data quality assessment
• Duplicate detection
• Pattern identification
• Anomaly detection
• Relationship analysis
• Data segmentation
• Comparative analysis
• Insight development
• Executive reporting
The goal is not merely to produce charts.
The goal is to identify what the data is telling us and why it matters.
FEATURED EXCEL DASHBOARD
Interactive Sales Performance Dashboard
Turning 800 Synthetic Sales Transactions into Decision-Ready Insights
This portfolio project demonstrates how structured sales data can be transformed into a clear, professional, and auditable Excel dashboard.
The workbook contains 800 synthetic sales transactions covering monthly performance, regions, sales channels, product categories, individual products, revenue, cost, profit, and margin.
The Challenge
Reviewing hundreds of transaction records manually makes it difficult to identify trends, compare performance, and communicate the most important findings efficiently.
Decision-makers need a concise dashboard that presents essential KPIs while preserving access to the supporting data and calculations.
The Solution
An editable Excel workbook was developed with:
• A one-page performance dashboard
• Filter-ready transaction data
• Formula-driven KPI calculations
• Monthly revenue and profit analysis
• Regional sales comparison
• Product-category contribution
• Individual product performance analysis
• Auditable supporting calculations
• Automated business insight checks
• Workbook instructions and usage notes
Key Dashboard Metrics
TOTAL REVENUE
$798,579
TOTAL PROFIT
$427,797
PROFIT MARGIN
53.6%
TOTAL ORDERS
800
Dashboard Capabilities
Monthly Performance
Visualizes revenue and profit trends from January to December, helping users identify stronger and weaker sales periods.
Regional Analysis
Compares sales performance across North, South, East, and West regions.
Category Contribution
Shows how Software, Services, Hardware, and Subscription categories contribute to total revenue.
Product Performance
Compares revenue generated by individual products and services.
Auditable Calculations
Important calculations remain visible inside the workbook so another person can inspect and verify the analytical logic.
Reusable Structure
The workbook structure can be adapted to other clearly defined sales, service, inventory, regional, or project-monitoring datasets.
Business Value
This dashboard helps users:
• Understand overall performance quickly
• Monitor important KPIs from one page
• Identify monthly sales patterns
• Compare regional contribution
• Evaluate category and product performance
• Reduce manual review of transaction-level data
• Communicate results through a professional visual report
Deliverables Demonstrated
• Editable Microsoft Excel workbook
• Structured raw-data sheet
• Formula-driven analysis sheet
• One-page visual dashboard
• KPI definitions and calculations
• Business insight checks
• Read Me and usage instructions
→ Download Excel Dashboard Sample
→ View Full Freelance Portfolio PDF
Portfolio Disclosure: All records in this workbook are synthetically generated for skills-demonstration purposes. No real customer, employee, or company information is included.
RESEARCH & EVIDENCE PORTFOLIO
ArrezaMP develops a Living Research model.
Instead of treating research as a one-time publication, each research program can develop through three levels:
LEVEL 1 — Research Foundation
Establishing scope, questions, methodology, evidence framework, and research baseline.
↓
LEVEL 2 — Research Updates
Adding material evidence and analyzing important developments.
↓
LEVEL 3 — Insights & Case Studies
Developing deeper analysis, comparisons, implications, and applied case studies.
This creates a research trail that can evolve as new evidence becomes available.
→ Explore All ArrezaMP Living Research
FIVE FLAGSHIP RESEARCH PROGRAMS
01 — Indonesia Public Companies Monitor
Research and monitoring of Indonesian public companies through corporate evidence, industry developments, technology, investment, infrastructure, and other material developments.
→ Indonesia Public Companies Monitor
02 — Indonesia Digital Economy & Business Monitor
Monitoring Indonesia's digital economy, digital payments, business ecosystem, platform economy, financial technology, and technology-driven economic transformation.
→ Indonesia Digital Economy & Business Monitor
03 — Indonesia Government Digital Services Monitor
Monitoring the transformation of Indonesian digital government services, including data integration, interoperability, digital identity, cybersecurity, AI, and public-service transformation.
→ Indonesia Government Digital Services Monitor
04 — Batam–Kepri Tourism Monitor
Monitoring tourism developments in Batam and the Riau Islands through visitor movements, length of stay, connectivity, tourism economy, destination development, and related indicators.
05 — Indonesia Employment & Labor Monitor
Monitoring Indonesia's labor market through employment, unemployment, job quality, productivity, skills, wages, formalization, technology, and AI-related changes in the world of work.
→ Indonesia Employment & Labor Monitor
SELECTED CASE STUDIES
CASE STUDY 01 — Data Analytics & Anomaly Detection
Challenge
Large datasets can contain patterns, inconsistencies, relationships, and unusual records that are difficult to identify through manual inspection.
Approach
Data Understanding
↓
Data Validation
↓
Data Analysis
↓
Pattern & Anomaly Detection
↓
Evidence-Based Review
Outcome
Transforming complex datasets into structured findings that can help identify priorities and areas requiring further investigation.
CASE STUDY 02 — Evidence-Driven Problem Solving
Challenge
A visible symptom does not always represent the actual problem.
Making decisions too early can lead to solutions that address the wrong issue.
Approach
UNDERSTAND → EVIDENCE → ANALYZE → SOLVE → IMPROVE
Outcome
Developing recommendations and solutions based on structured analysis rather than assumptions.
CASE STUDY 03 — Digital Publishing Journey Since 2008
Experience
A long-term journey involving digital publishing, technology communication, SEO content development, and online knowledge sharing.
Experience includes:
• Technology publishing
• Digital content development
• SEO and information discovery
• Online knowledge sharing
• Content strategy
• Digital ecosystem development
Outcome
Connecting technology, information, content, and audiences through practical digital communication.
CASE STUDY 04 — Commercial Digital & Team Experience
Experience contributing within multidisciplinary teams involved in digital, commercial, creative, and communication projects.
Areas include:
• Digital promotion
• Content production
• Website and digital projects
• Creative collaboration
• Tourism digital projects
• Online communication
Outcome
Combining communication, technology, content, and collaborative execution to create practical digital value.
CASE STUDY 05 — Tourism & Hospitality Digital Content
Experience developing digital content, destination information, and online communication related to tourism activities.
Focus includes:
• Destination content
• Hospitality content
• Digital storytelling
• Audience engagement
• Tourism information
• Digital promotion
Outcome
Using digital channels and content to improve information discovery, awareness, and audience engagement.
INTERACTIVE DEMONSTRATIONS
Some research, analytics, decision-support, and digital-solution concepts are developed beyond written reports.
They can become interactive demonstrations and prototypes.
The purpose is to demonstrate:
Problem
↓
Data / Evidence
↓
Analysis
↓
Finding
↓
Interaction / Visualization
↓
Potential Decision or Action
Interactive demonstrations also provide a practical environment for testing how analytical findings can be translated into usable digital experiences.
→ Explore ArrezaMP Interactive Demos
SELECTED PROFESSIONAL EVIDENCE
Professional capability should not depend only on self-description.
Where appropriate, ArrezaMP documents supporting evidence related to professional experience, recognition, training, certifications, projects, and continuous learning.
Evidence is used to establish the relationship between:
Learning → Experience → Evidence → Capability → Application
The objective is not to collect certificates.
The objective is to demonstrate how learning and experience contribute to practical capability.
→ Explore Portfolio & Professional Evidence
PROFESSIONAL DEVELOPMENT
Continuous learning includes areas related to:
Data Analytics
Research & Evidence
Digital Technology
Cybersecurity
Information Security
Digital Transformation
Artificial Intelligence
Problem Solving
Project & Process Improvement
Tools and technologies will continue to change.
The underlying capability should remain:
Understand the problem, evaluate the evidence, choose the appropriate method, and deliver useful outcomes.
PROFESSIONAL JOURNEY
A Digital Journey Since 2008
2008
Technology & Digital Publishing
↓
2010s
Community, Media & Digital Content
↓
2015+
Commercial Digital Projects & Collaboration
↓
2020s
Digital Transformation & Data-Oriented Thinking
↓
2026
Data Analytics • Research & Evidence • Problem Solving • Digital Solutions
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CONTINUOUS
Research • Experiment • Evidence • Improvement
HOW I WORK
UNDERSTAND
Understand the problem, context, objectives, stakeholders, constraints, and expected outcomes.
↓
EVIDENCE
Use relevant data, documents, primary sources, and supporting evidence.
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ANALYZE
Identify patterns, relationships, anomalies, causes, risks, and meaningful findings.
↓
SOLVE
Translate analysis into recommendations, decisions, prototypes, or practical solutions.
↓
IMPROVE
Evaluate outcomes, learn from evidence, and continuously improve.
THINKING DNA
Evidence Before Assumption
Conclusions should have evidence that can be examined.
Understand Before Solve
A solution should not be developed before the problem is understood.
Analysis Before Decision
Information needs context and analysis before it becomes useful for decision-making.
Simple Before Complex
A simple solution that works is often more valuable than unnecessary complexity.
Document the Process
Methodology, evidence, limitations, changes, and outcomes matter—not only the final result.
Iterate and Improve
Research, analytics, and digital solutions should be capable of evolving when better evidence becomes available.
Evidence before conclusion. Analysis before decision.
FROM RESEARCH TO SOLUTION
Research does not necessarily end with a report.
A finding can continue through:
Research
↓
Evidence
↓
Analysis
↓
Finding
↓
Recommendation
↓
Prototype / Demonstration
↓
Validation
↓
Improvement
This connects research with analytics, problem solving, decision support, and digital solution development.
EXPLORE ARREZAMP
Research & Evidence Intelligence
Explore Living Research, Research Foundations, Research Updates, Insights, and Case Studies.
Interactive Demos
Explore analytics, research, decision-support, infrastructure, and digital-solution demonstrations.
About Arreza MP
Learn more about the thinking, methodology, focus areas, and professional direction behind ArrezaMP.
DO YOU HAVE DATA, INFORMATION, OR A COMPLEX CHALLENGE?
Good projects often begin with a question.
What is actually happening?
What does the evidence show?
What can we learn from the data?
What should we do next?
I work across Data Analytics, Research & Evidence, Problem Solving, Decision Support, and Digital Solutions to transform complexity into clearer understanding and practical outcomes.
CONTACT ARREZA MP
Data Analytics • Research & Evidence • Problem Solving • Digital Solutions
Insight. Solve. Impact.
Understand → Evidence → Analyze → Solve → Improve
Evidence before conclusion. Analysis before decision.
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