Unlock Data-Driven InsightsDr Dave Braendler
We offer tailored data analysis services that turn your messy, disconnected data into clear, actionable insights. What makes us unique is our ability to bridge the gap between analysis and automation — by structuring and understanding your data first, we lay the foundation for powerful, AI-driven workflows. It’s the first step toward unlocking automation that’s smart, scalable, and aligned with your business goals.
What's included
Exploration Phase
Discovery session to understand your goals, pain points, and success metrics
Review of available data sources and business processes
Initial hypothesis mapping: what are we trying to uncover or improve?
Agreement on key questions the analysis should answer
Data Audit & Preparation
Evaluation of data quality, consistency, and completeness
Cleaning and standardization of raw data
Handling duplicates, null values, and formatting inconsistencies
Data Integration
Consolidation of data from multiple sources (e.g., CRMs, sales systems, support platforms)
Creation of a unified data model tailored to your objectives
Data Analysis (EDA)
Identification of trends, outliers, patterns, and potential correlations
Visual summaries of key metrics and behaviors
Preliminary insights and questions surfaced
Insight Reports
Clear and concise visual reports showing meaningful findings
Business impact breakdown — what does this insight mean for you?
Prioritized recommendations for next steps or strategy shifts
Custom Dashboards
Interactive dashboards with real-time or regularly updated data
KPIs and filters tailored to your team’s needs
FAQs
We can handle a wide variety of data, including spreadsheets, databases, cloud-based platforms (like CRMs or ERPs), PDFs, APIs, and even unstructured text. If your data is messy or fragmented, we specialize in making sense of it.
It depends on your data complexity and goals, but most clients start seeing value within 2–4 weeks. We offer short engagements to get quick wins, as well as longer-term partnerships.
In-house analysts are great for reporting and insights. We go further by laying the groundwork for automation. We help structure and streamline your data so your team can spend less time cleaning and more time innovating.
Most BI tools focus on dashboards and reports. We go beyond that by preparing your data for advanced, AI-powered workflows—like automatic report generation, personalized customer journeys, or smart decision-making systems.
Yes. We focus on working with your existing tech stack, whether it's Excel, Google Sheets, SQL databases, Notion, Airtable, or custom platforms. Integration is part of the process.
Yes, but only after the data is structured correctly. This creates a rock-solid foundation for automation so it doesn’t break or produce inaccurate results later on.
It can be both. Some clients want a one-off analysis and setup, while others prefer ongoing optimization and support as their data and needs evolve.
By cleaning and structuring your data early, you reduce wasted time, improve decision-making, and unlock scalable automation. Many clients see significant time and cost savings almost immediately
Not necessarily. We prioritize no-code/low-code and AI-enhanced tools that your team can manage. We’ll also train your staff if needed.
Contact for pricing
Tags
Microsoft Excel
pandas
Python
Data Analyst
Data Modelling Analyst
Data Scientist
Service provided by
Dr Dave Braendler Auckland, New Zealand
Unlock Data-Driven InsightsDr Dave Braendler
Contact for pricing
Tags
Microsoft Excel
pandas
Python
Data Analyst
Data Modelling Analyst
Data Scientist
We offer tailored data analysis services that turn your messy, disconnected data into clear, actionable insights. What makes us unique is our ability to bridge the gap between analysis and automation — by structuring and understanding your data first, we lay the foundation for powerful, AI-driven workflows. It’s the first step toward unlocking automation that’s smart, scalable, and aligned with your business goals.
What's included
Exploration Phase
Discovery session to understand your goals, pain points, and success metrics
Review of available data sources and business processes
Initial hypothesis mapping: what are we trying to uncover or improve?
Agreement on key questions the analysis should answer
Data Audit & Preparation
Evaluation of data quality, consistency, and completeness
Cleaning and standardization of raw data
Handling duplicates, null values, and formatting inconsistencies
Data Integration
Consolidation of data from multiple sources (e.g., CRMs, sales systems, support platforms)
Creation of a unified data model tailored to your objectives
Data Analysis (EDA)
Identification of trends, outliers, patterns, and potential correlations
Visual summaries of key metrics and behaviors
Preliminary insights and questions surfaced
Insight Reports
Clear and concise visual reports showing meaningful findings
Business impact breakdown — what does this insight mean for you?
Prioritized recommendations for next steps or strategy shifts
Custom Dashboards
Interactive dashboards with real-time or regularly updated data
KPIs and filters tailored to your team’s needs
FAQs
We can handle a wide variety of data, including spreadsheets, databases, cloud-based platforms (like CRMs or ERPs), PDFs, APIs, and even unstructured text. If your data is messy or fragmented, we specialize in making sense of it.
It depends on your data complexity and goals, but most clients start seeing value within 2–4 weeks. We offer short engagements to get quick wins, as well as longer-term partnerships.
In-house analysts are great for reporting and insights. We go further by laying the groundwork for automation. We help structure and streamline your data so your team can spend less time cleaning and more time innovating.
Most BI tools focus on dashboards and reports. We go beyond that by preparing your data for advanced, AI-powered workflows—like automatic report generation, personalized customer journeys, or smart decision-making systems.
Yes. We focus on working with your existing tech stack, whether it's Excel, Google Sheets, SQL databases, Notion, Airtable, or custom platforms. Integration is part of the process.
Yes, but only after the data is structured correctly. This creates a rock-solid foundation for automation so it doesn’t break or produce inaccurate results later on.
It can be both. Some clients want a one-off analysis and setup, while others prefer ongoing optimization and support as their data and needs evolve.
By cleaning and structuring your data early, you reduce wasted time, improve decision-making, and unlock scalable automation. Many clients see significant time and cost savings almost immediately
Not necessarily. We prioritize no-code/low-code and AI-enhanced tools that your team can manage. We’ll also train your staff if needed.
Contact for pricing