Obashi Technology

Edinburgh
Seeking investment

We Help People See Data Flow

Obashi Technology Ltd is a Dataflow Technology company, headquartered on the site of the former Carron Ironworks building in Falkirk, Scotland.

Obashi Technology Ltd is the world leading dataflow expert and its co-founders have written the fundamental laws and principles around the control, management and governance of the most abundant business resource on the planet: Data.

Using our unique OBASHI methodology and OBASHI platform, we create clarity by modelling the relationships and dependencies between business and IT assets. We help you see the ‘Big Picture’ of how your business works.

We call the movement of information between people, processes, and technology: dataflow.

Dataflow is the lifeblood of the modern world. It is as critical to everyday life as the flow of water, energy, and transport. We take for granted the control, management, and governance these flows, and yet when it comes to dataflow, no one speaks the same language. Our OBASHI platform helps join the dots between people, process and technology.

Throughout the years, the dataflow methodology developed by Obashi has been recognised by several notable clients, including Bank of England, Flight Centre, BP, Scottish Power and a Formula 1 team – to name a few.

Our Technology

Our fully scalable cloud based OBASHI platform is designed to control, manage, and govern dataflow. It automates our unique dataflow methodology and allows users to model and produce Business & IT diagrams (B&ITs) and Dataflow Analysis Views (DAVs).

The OBASHI platform has an intuitive customisable front end, which allows the user to start creating their own visual representations of the way the people, process and technology interact across their organisation. Using the 6 layers of the methodology, a pictorial and data rich model can be constructed.

The ability to add and export data and simulate ‘what-if scenarios’ enables the user to perform analysis and reporting from the front-end, supporting business critical questioning and strategic decision making.

Our OBASHI methodology and OBASHI platform together form the key that unlocks organisational challenges related to business optimisation, cyber security, regulatory compliance such as GDPR and PCI DSS, infrastructure risk management, and more.

Spreading the Word

Obashi’s commitment to educating students of all ages on the language of dataflow is a responsibility we are proud and passionate about.

As experts in all things dataflow, we have developed OBASHI Learn to support the delivery of the Higher National Certificate/Diploma (HNC/D) Unit in Data Flow with the Scottish Qualifications Authority (SQA) and Further Education Colleges. The unit was verified by SQA in 2019 and is being taught to college students across Scotland since January 2020.

The methodology developed by Obashi is accredited by APMG International and an online foundation course is available through ITSMZone. The Obashi team is also happy to organise introductory sessions for those interested in an overview of our unique methodology, the OBASHI platform and all things dataflow.

A Dataflow Odyssey

The year is 2001, two guys in Scotland have an epiphany:

Someday, the flow of data will be as critical to planet Earth as the flow of water, electricity, oil and gas.

They worked hard for several years and developed a methodology and core technology with one purpose: To help people control, manage and govern the flow of data.

That methodology was accredited by APMG International in 2010 and published by TSO. The science was proven.

It was now possible for every organisation to simply and effectively understand, communicate, dynamically model and optimise their flows of data in the same way as industries had developed to manage the flow of oil, gas, water and electricity in the centuries before…but frustratingly, in 2010 dataflow was still not recognised globally as important enough to understand and govern.

Then, in 2013, IBM stunned the world and declared that data was now the most abundant natural resource on the planet, and it needed to be controlled, managed and governed.

The UN, G20, The Federal Reserve and The Bank of England, amongst others, took note and asked the question:

How do we map and model our dataflow?

The two guys from Scotland knew they had the answer: The unique methodology developed and available from Obashi.

We help people see data flow

A lot has happened since 2013 and IBM’s announcement. In 2016 the two guys from Scotland, Fergus Cloughley and Paul Wallis, founded Obashi Technology Ltd, a technology company based in Falkirk that focuses delivering the solution to mapping and modelling dataflow.

The methodology developed by Obashi is still accredited by APMG International and an online foundation course is available through ITSMZone. In addition, the Scottish Qualification Authority (SQA) recognised the value of learning about dataflow and validated the SCQF Level 7 unit ‘Data Flow’ in 2019. The unit is now being taught across colleges in Scotland at Higher National Certificate/Diploma (HNC/D) level, and Obashi Technology Ltd is working closely with the SQA and the colleges to support the delivery of the unit.

The Obashi Team – because it is no longer just two guys from Scotland – has developed a fully scalable cloud based platform which automates our methodology. The platform has an intuitive and customisable front end that allows the user to start creating their own visual representations of the way the people, process and technology interact across their organisation. Using the 6 layers of the methodology, a pictorial and data rich model can be constructed. The OBASHI platform also allows for adding and exporting data, which enables the user to perform analysis and reporting from the front-end, supporting business critical questioning and strategic decision making.

Fergus Cloughley, Co-founder and CEO

 

Paul Wallis, Co-founder and CTO

 

Fiona Dewar, COO

 

Stuart Christie, CFO

 

Karen Henderson, CCO

Overview

  • Funding Stage Pre-seed
  • Trading for 1-5 years
  • Employees 11-50
  • Sector Data/Analytics
  • Valuation N/A

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