Professional Data Analysis Services
From Collection to Clear Insight
A strong project begins with robust data. Thesifys provides comprehensive, end-to-end data solutions to support your academic research, thesis, or business intelligence needs. We handle every stage—meticulous collection, ethical creation, rigorous statistical analysis, and compelling visualization—to transform raw information into credible, actionable insights. Every step is conducted with precision, confidentiality, and a commitment to your project’s integrity.
1. Data Scraping
We build the specific datasets you need by systematically extracting structured information from diverse digital sources.
- Extract data from websites, academic journals, and public/private databases.
- Convert audio interviews into accurate, formatted text transcripts for qualitative analysis.
- Merge and consolidate disparate data files (CSV, Excel, SQL) into a unified, clean dataset.
- Perform e-commerce price & review scraping for market research.
- Gather and organize relevant academic articles and PDFs for literature-based research.
- Conduct initial data cleaning by identifying outliers, removing duplicates, and standardizing formats.
2. Data Creation
When real-world data is unavailable or insufficient, we design statistically valid datasets tailored to your research parameters.
- Create hypothetical random data for model testing and analysis practice.
- Generate synthetic / simulated data that accurately reflects real-world complexity and variance.
- Facilitate crowdsourcing initiatives to gather original data from target participants.
- Design surveys & questionnaires that are unbiased and methodologically sound.
- Perform experimental data simulation for controlled study designs.
- Produce anonymized datasets from sensitive information, ensuring privacy compliance.
3. Data Analysis
Our experts apply advanced quantitative and qualitative techniques to uncover the story within your data.
Quantitative Analysis:
- Regression, ANOVA, MANOVA
- Survey Response Analysis (Likert scale)
- Hypothesis Testing
- Time Series Analysis
- Mathematical & Econometric Modeling
- Sample Size Calculation & Statistical Power Testing
Qualitative Analysis:
- Thematic, Content, Narrative, and Discourse Analysis
- Grounded Theory Development
- Phenomenological Analysis
- Qualitative Comparative Analysis (QCA)
- Sentiment Analysis
4. Data Visualization
We turn complex results into clear, persuasive visuals that communicate your findings effectively.
- Interactive Dashboard Creation using Power BI, Tableau, and Google Looker Studio.
- Advanced visual analytics with Qlik Sense.
- Data Storytelling through custom infographics and presentation-ready charts that highlight key trends and conclusions.
Ready to Build a Data-Driven Foundation for Your Project?
To discuss your specific data needs.