I’m Mark Botros.
I work with businesses where the reporting has become harder to trust than it should be. Different teams have different numbers. Important processes depend on spreadsheets. Reports take hours to rebuild. Nobody is quite sure where a figure came from.
I fix what sits underneath all of that.
Foundations before dashboards.
I’m Mark Botros.
I work with businesses where the reporting has become harder to trust than it should be. Different teams have different numbers. Important processes depend on spreadsheets. Reports take hours to rebuild. Nobody is quite sure where a figure came from.
I fix what sits underneath all of that.
Foundations before dashboards.
None of these problems usually appear overnight. They build up as businesses grow, new systems are introduced and temporary fixes become permanent. Eventually, more time is spent checking, correcting and maintaining information than using it to understand what is actually happening in the business.
Having more data does not necessarily make a business more informed. When information is spread across different systems, spreadsheets and manual processes, it becomes harder to know which numbers are right. Where they came from, or how they should be used, gets lost along the way.
Sales might be working from one number while finance works from another. A spreadsheet that started as a temporary solution becomes something the business cannot operate without. Someone spends half a day every Friday rebuilding a report that should have been automated years ago. Important reporting logic sits with one person because nobody ever stopped to document how it works.
None of these problems usually appear overnight. They build up as businesses grow, new systems are introduced and temporary fixes become permanent. Eventually, more time is spent checking, correcting and maintaining information than using it to understand what is actually happening in the business.
None of these problems usually appear overnight. They build up as businesses grow, new systems are introduced and temporary fixes become permanent. Eventually, more time is spent checking, correcting and maintaining information than using it to understand what is actually happening in the business.
01
Having more data does not necessarily make a business more informed. When information is spread across different systems, spreadsheets and manual processes, it becomes harder to know which numbers are right. Where they came from, or how they should be used, gets lost along the way.
Sales might be working from one number while finance works from another. A spreadsheet that started as a temporary solution becomes something the business cannot operate without. Someone spends half a day every Friday rebuilding a report that should have been automated years ago. Important reporting logic sits with one person because nobody ever stopped to document how it works.
None of these problems usually appear overnight. They build up as businesses grow, new systems are introduced and temporary fixes become permanent. Eventually, more time is spent checking, correcting and maintaining information than using it to understand what is actually happening in the business.
None of these problems usually appear overnight. They build up as businesses grow, new systems are introduced and temporary fixes become permanent. Eventually, more time is spent checking, correcting and maintaining information than using it to understand what is actually happening in the business.
Having more data does not necessarily make a business more informed. When information is spread across different systems, spreadsheets and manual processes, it becomes harder to know which numbers are right. Where they came from, or how they should be used, gets lost along the way.
Sales might be working from one number while finance works from another. A spreadsheet that started as a temporary solution becomes something the business cannot operate without. Someone spends half a day every Friday rebuilding a report that should have been automated years ago. Important reporting logic sits with one person because nobody ever stopped to document how it works.
None of these problems usually appear overnight. They build up as businesses grow, new systems are introduced and temporary fixes become permanent. Eventually, more time is spent checking, correcting and maintaining information than using it to understand what is actually happening in the business.
None of these problems usually appear overnight. They build up as businesses grow, new systems are introduced and temporary fixes become permanent. Eventually, more time is spent checking, correcting and maintaining information than using it to understand what is actually happening in the business.
01
Having more data does not necessarily make a business more informed. When information is spread across different systems, spreadsheets and manual processes, it becomes harder to know which numbers are right. Where they came from, or how they should be used, gets lost along the way.
Sales might be working from one number while finance works from another. A spreadsheet that started as a temporary solution becomes something the business cannot operate without. Someone spends half a day every Friday rebuilding a report that should have been automated years ago. Important reporting logic sits with one person because nobody ever stopped to document how it works.
None of these problems usually appear overnight. They build up as businesses grow, new systems are introduced and temporary fixes become permanent. Eventually, more time is spent checking, correcting and maintaining information than using it to understand what is actually happening in the business.
The quality and logic of the data matter far more to me than the specific dashboard tool used.
My starting point is the business itself: how information moves through it, where systems connect, how people use the data and where things begin to break down.
Only once that is understood does it make sense to decide what should be automated, reported or rebuilt.
The quality and logic of the data matter far more to me than the specific dashboard tool used.
My starting point is the business itself: how information moves through it, where systems connect, how people use the data and where things begin to break down.
Only once that is understood does it make sense to decide what should be automated, reported or rebuilt.
I have been working with computers since I was five, eventually studying Computer Science with a Data Science minor at the University of Pretoria.
During my studies, an internship at DNS Africa led to a project that turned unused business data into useful dashboards. That project became my Capstone and eventually the foundation for Tyto Insights.
Today, I help businesses improve the data, systems and processes behind how they work.
I have been working with computers since I was five, eventually studying Computer Science with a Data Science minor at the University of Pretoria.
During my studies, an internship at DNS Africa led to a project that turned unused business data into useful dashboards. That project became my Capstone and eventually the foundation for Tyto Insights.
Today, I help businesses improve the data, systems and processes behind how they work.
The work varies depending on what the business needs, but the goal is always the same: understand the problem first, then build the right solution.
Clean, connect and structure data from different sources.
Build dashboards, reports and analytics around real business needs.
Replace repetitive manual work with smarter workflows and systems.
Build software and portals where existing tools do not fit.
Prepare data and systems for practical AI and modern applications.
The work varies depending on what the business needs, but the goal is always the same: understand the problem first, then build the right solution.
Clean, connect and structure data from different sources.
Build dashboards, reports and analytics around real business needs.
Replace repetitive manual work with smarter workflows and systems.
Build software and portals where existing tools do not fit.
Prepare data and systems for practical AI and modern applications.
A data consultant helps a business understand how its information is collected, managed and used, then identifies what needs to improve. My work can involve data engineering, reporting, analytics, automation, internal software and modern data systems.
I work with businesses dealing with inconsistent numbers, disconnected systems, messy data, manual reporting and processes that have become difficult to manage. The first step is understanding where the problem actually starts.
Yes. I build dashboards, reporting portals and automated reporting, but I also look at the data and systems behind them. Good reporting depends on having reliable information to work with.
A data diagnostic is a structured assessment of a business's data, systems and processes. It helps identify where information breaks down, what is causing the problem and what should be fixed, built or changed before committing to a larger project.
Yes. I work with the systems and tools a business already has where they are suitable. Sometimes the right answer is to improve or connect what is already there rather than replace it.
Yes. I can identify repetitive processes that are creating unnecessary work and replace them with automated workflows, integrations or internal tools where appropriate.
Yes. Cleaning and structuring inconsistent data is often an important part of the work. This can include connecting different sources, standardising information and establishing clear definitions for important business data.
Automation is worth considering when people are repeatedly copying, checking, moving or rebuilding information by hand. I first look at the process itself to determine what should be automated and what may need to change before automation is introduced.
Yes. AI systems depend on the quality and structure of the information they work with. I can assess whether a business is ready for AI, prepare the underlying data and identify practical use cases where it can add value.
Both. I am a co-founder of Tyto Insights and work directly with clients while drawing on the wider team's expertise when a project requires it.
Tyto Insights is a Pretoria-based data consultancy working across data engineering, reporting and analytics, workflow automation, internal software, AI and modern data systems. I lead the client relationship and diagnostics while the wider team provides the technical expertise needed to deliver the work.
I am based in Pretoria and work with businesses across South Africa, both onsite and online.
A data consultant helps a business understand how its information is collected, managed and used, then identifies what needs to improve. My work can involve data engineering, reporting, analytics, automation, internal software and modern data systems.
I work with businesses dealing with inconsistent numbers, disconnected systems, messy data, manual reporting and processes that have become difficult to manage. The first step is understanding where the problem actually starts.
Yes. I build dashboards, reporting portals and automated reporting, but I also look at the data and systems behind them. Good reporting depends on having reliable information to work with.
A data diagnostic is a structured assessment of a business's data, systems and processes. It helps identify where information breaks down, what is causing the problem and what should be fixed, built or changed before committing to a larger project.
Yes. I work with the systems and tools a business already has where they are suitable. Sometimes the right answer is to improve or connect what is already there rather than replace it.
Yes. I can identify repetitive processes that are creating unnecessary work and replace them with automated workflows, integrations or internal tools where appropriate.
Yes. Cleaning and structuring inconsistent data is often an important part of the work. This can include connecting different sources, standardising information and establishing clear definitions for important business data.
Automation is worth considering when people are repeatedly copying, checking, moving or rebuilding information by hand. I first look at the process itself to determine what should be automated and what may need to change before automation is introduced.
Yes. AI systems depend on the quality and structure of the information they work with. I can assess whether a business is ready for AI, prepare the underlying data and identify practical use cases where it can add value.
Both. I am a co-founder of Tyto Insights and work directly with clients while drawing on the wider team's expertise when a project requires it.
Tyto Insights is a Pretoria-based data consultancy working across data engineering, reporting and analytics, workflow automation, internal software, AI and modern data systems. I lead the client relationship and diagnostics while the wider team provides the technical expertise needed to deliver the work.
I am based in Pretoria and work with businesses across South Africa, both onsite and online.
You do not need to know what tool you need before getting in touch. Tell me what is happening, what is taking too long or where the numbers are causing trouble.
We can work out the rest from there.
You do not need to know what tool you need before getting in touch. Tell me what is happening, what is taking too long or where the numbers are causing trouble.
We can work out the rest from there.
