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Data analysis & ReportinG

Visualization Tool | Acquisition Capturing | Merged Data | Advanced Excel Skills

Data is the Roadmap to Success

In a data-driven world, businesses that effectively analyze and report data have a significant edge over competitors. Data analysis uncovers trends, optimizes strategies, and measures performance, while robust reporting ensures clarity and alignment across teams.


From establishing omni channel acquisition data, to leveraging advanced Excel techniques to merging data sources and creating powerful visualizations, I specialize in helping businesses transform complex datasets into clear, actionable insights using the latest tools and techniques.

Latest news & Helpful Content

Explore my blog for the latest insights, tips, and strategies to help you stay ahead in the ever-evolving world of digital marketing and SEO.

How can I help you Interpret your data?

Data Visualization

I design compelling dashboards and reports to make your data easy to understand and act upon.

Cross-Channel Tracking and Attribution

I implement robust tracking systems to accurately attribute customer actions across channels, giving a clear picture of the customer journey and campaign effectiveness.

Merged Data Analysis

I combine data from multiple sources, ensuring seamless integration and accurate insights for more comprehensive analysis.

Advanced Excel Skills

From PivotTables and VLOOKUP to macros and VBA, I use Excel to perform deep-dive analyses, automate workflows, and present data effectively.

Implementation

I take a hands-on approach to data analysis and reporting, starting with a deep dive into your business goals and existing data sources. From there, I develop tailored solutions to organize, analyze, and visualize your data for maximum impact. 
 
Whether it’s creating automated Excel reports, integrating data across platforms, or building custom dashboards, I ensure your data works for you—helping you uncover opportunities, measure performance, and make data-backed decisions.

Step 1: Audit and Assess Data Sources

  • Review current data sources and systems (e.g., CRM, analytics tools, spreadsheets).
  • Identify gaps, inconsistencies, or duplicate data that may hinder analysis.
  • Ensure data collection aligns with business objectives and KPIs.

Step 2: Define Goals and Metrics

  • Determine what success looks like by defining clear KPIs and performance metrics.
  • Collaborate with stakeholders to align on data priorities and reporting needs.
  • Identify key questions the analysis should answer, such as performance trends or ROI.

Step 3: Data Cleaning and Preparation

  • Cleanse datasets to remove duplicates, errors, or inconsistencies.
  • Normalize and format data for compatibility across systems.
  • Merge data from different sources, ensuring seamless integration and accuracy.

Step 4: Build Visualizations and Dashboards

  • Use visualization tools to design interactive dashboards.
  • Incorporate graphs, charts, and heatmaps to present data in an easy-to-digest format.
  • Customize dashboards for different audiences, focusing on actionable insights.

Step 5: Perform Advanced Analysis

  • Generate regular, automated reports tailored to stakeholders’ needs.
  • Present data-driven recommendations with clear action items and measurable outcomes.
  • Ensure reports are accessible, visually appealing, and aligned with business goals.

Step 6: Deliver Reports and Insights

  • Generate regular, automated reports tailored to stakeholders’ needs.
  • Present data-driven recommendations with clear action items and measurable outcomes.
  • Ensure reports are accessible, visually appealing, and aligned with business goals.

Step 7: Monitor and Refine

  • Continuously track performance metrics to ensure goals are being met.
  • Refine reports and visualizations based on feedback or changing priorities.
  • Stay updated with the latest data analysis tools and trends to maintain a competitive edge.