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Author: Adam Pearson

Web 3.0: The Future of Process Catalogue Management?

Web 3.0 technology, in my view, can be used for new innovations and has the ability to deliver positive change quicker. Specifically, Blockchain technology could allow for a transparent, automatic and secure way to manage a business’ process catalogue.

Traditionally, when analysing processes things like Upper/Lower Specified Limits, Service Level Agreements, and Defects Per Million Opportunities are used to understand whether a process is performing satisfactorily. This requires a BA to take measurements, validate them and then work with the business to pivot the process back to delivering the agreed standard. The typical business trigger event for this is either automatic or internal– it requires a BA to pick up during routine quality testing, or an actor to notice and raise through an agreed mechanism. This is because the process infrastructure is basically storage; it could be coined as “static management”. This means things can be missed, as humans make mistakes and the data does not work for the business, rather the business works for the data.

There have been recent advancements in technology, namely Web 3.0, which can reduce or potentially eliminate the human error element and turn the process catalogue into a dynamic storage, in which the data works for the business. In particular, Blockchain technology offers several features that could transform the way we work.

A Blockchain has several features, such as: Nodes, Ledger, and Wallets. Nodes are users/devices that hold the ledger, in full or in part. The Ledger is the record of transactions that happen across the blockchain and wallets are areas, in crypto blockchains, where the cryptocurrencies are stored.


At a first glance, this ecosystem seems locked to currencies, I believe it can be adapted to handle processes. Each process would need to be broken down into its steps and identified by its inputs/outputs and business actors. This dataset is then integrated into a blockchain – with each block containing the data from a single process step. In terms of a traditional process map, the block is the process step and the transaction is the connector lines between two process steps. In process terms it would be Step, Connector, Step; in blockchain terms it would be Block, Transaction, Block.

When the process is run, new unique blocks are added to the chain with the details of that unique process step run, which are then linked to further blocks/steps via transactions, providing a completely transparent and auditable record.


This setup has an infrastructure advantage because a blockchain validates transactions through decentralisation, using other blocks already in the chain. It means process rules are embedded in a chain from existing blocks and are then used to validate new blocks, resulting in a guaranteed uniformed process run, as the blockchain would only validate the transactions in accordance with the blocks already there.

The blockchain allows for easy performance monitoring, as each block is recorded with management information as well as process information and this is all in one place, it is easy for an analyst to calculate run times, business actor performance on individual or multiple transactions and process efficiencies.

Once an improvement is identified, the process is updated and released onto the blockchain, then becoming the single-source-of-truth for transaction validation, therefore only allowing the most up-to-date process to be followed by business actors. In this sense, the blockchain is both the governing authority as well as storage for processes.


The problem with this is that it is still reliant on humans picking up on the fact that a process is not performing, so whilst we have an enforceable process level to six sigma, we do not have the benefit of removing the human error or time lag associated with a drop in process performance.

This can be resolved using a feature of a blockchain called a smart contract. Smart contracts are automated digital contracts which trigger when the terms and conditions of that contract are met. There is an equivalent document in the business world, which sets out an agreement between two parties to perform in a particular way or to a particular standard under particular terms – a Service Level Agreement (SLA).

The smart contract is the Web 3.0 equivalent to the SLA. However, a smart contract offers much more than just an agreement, it self-executes which means as soon as the terms are met, action is taken with virtually no time lag.




The smart contract is created using an if/when then statement. An example smart contract can be if a customer makes an enquiry and no one contacts the customer in 3 working days, then an escalation notice is sent to the assigned persons manager. As this is automated, as soon as the condition is met, the contract is acted upon – meaning management do not have to spend time reviewing whether the conditions within SLAs, making both service and personal performance management easier.

There are, however, some issues with blockchains which need further consideration to overcome: a large number of transactions can cause lag on the chain, due to the required effort to process them all, meaning slower transaction times. It may mean that this model is best suited to small startups/businesses. Blockchain technology is still new, and therefore is not thoroughly regulated yet, meaning it can be difficult to fit in with current governance structures. This can be tackled by robust risk management and future legislation or policies, meaning this model may be suited to an innovator type business.


In summary, Web 3.0 Blockchains can offer improvements to the operation, governance and management of processes. By leveraging features of blockchains, it’s possible to move from a static process catalogue to a dynamic, automatic and smart infrastructure which reacts quicker to changes in business environments, freeing up staff to find other efficiencies or grow the business in other ways. While there are concerns and issues around things like scalability and regulations, it is clear that Web 3.0 technologies can offer new and exciting opportunities.

The Mind as the Canvas

In the ever-evolving world of business analysis, the ability to convey complex data insights and concepts is paramount. For many, Visualization is a fundamental tool, often associated with software applications such as Power BI, Tableau, or Excel. In these tools an image containing all data points is generated for visual consumption and interpretation.

However, for Business Analysts who are certified with Sight Loss, this traditional approach of transcribing an externally generated image visualization into the mind can present a barrier to conducting their duties. In order to overcome these barriers it is essential to embrace non-visual representation, not only to ensure the Business Analyst with Sight Loss can complete their job, but by doing so it also develops and encourages many other benefits for the entire business.


Using a traditional Visualisation method, namely consuming and transcribing an external image into the consumers mind for analysis and interpretation, presents significant challenges for those who cannot access the external image in the first instance. Visualisation is an internal process and we use external stimuli to reconstruct this in our minds. These mental images can be real or imaginary, for example if I ask you to think of a pink elephant, you can do so, despite it not existing. The objective of having a pre-generated image to transcribe is one of time saving through consistency. By having technology that converts non-visual data into a visual image saves the user from having to do this themselves. Further, it also ensures that every consumer of the image has the same input and is therefore the internal process goes from reconstruction to transcription.


Think back to the pink elephant, if two people had to imagine it and compare, there would be differences in the size of the elephant, the ears, the hue of pink, and many other variables. Any question raised by the variability can be removed when transcribing, because you do not have to think about the construction of the image just the result of the image.


It is therefore logical to conclude that the essence of visualisation lies in cognitive processing and data communication methods. The communication method traditionally gives a visual representation before entering the mind, which is usually accepted by the brain as fact. There can be no more clearer way to draw out the problems of this than the recent phenomenon of the Changing Dress, which appears either Blue and Black or White and Gold to different people. Both versions are subjectively true. We accept pre-generated images to be true because of various reasons from the size of the dataset the image has been generated from, to the relationship between stakeholders, to the attitude and aptitude of the Analyst.


The concept of non-visual data representation is a crucial avenue for enabling not only Analysts with Sight Loss to excel in their roles, but to ensure that the risk of incorrect data insight is minimised.




There are several benefits to not relying solely on a pre-generated image. Firstly, enhanced data comprehension, namely non-visual data consumption that relies on auditory, tactile, and textual methods to convey the knowledge of data as data points, not visual graphics. Utilizing alternative communication methods can allow access and interpretation of complex datasets in a new and engaging way. This approach allows for a deeper understanding of the data, in the same way that reading a book cover-to-cover (i.e. the dataset), instead of just the blurb (i.e. a pre-generated external image) gives a fuller understanding of the content.


Secondly, when presenting findings to stakeholders, it can be beneficial for them to understand it not in a mental-visual aspect but as data points, facts, and relationships. This includes verbal descriptions, accessible documents, audio tracks and storytelling (as opposed to story boarding). By doing so, analysts can articulate their insights clearly and persuasively without traditional visual aids or statistical jargon. It can also enable the stakeholders to engage more effectively with the data and can apply their own domain knowledge, further helping the project being undertaken.


Thirdly, for those BAs with sight loss, the advancement in technology means that they can process data more effectively with Screen Reader software and tactile graphics, building a graph in the mind. Much in the same way that following instructions on Google Maps and actually walking the route, are two very different experiences. These tools can provide real-time feedback and enable analysts to explore data, scenarios, and outliers effectively, all while maintaining the focus on the data itself, instead of interpretations of data.


Fourthly, a further benefit of non-visual communication is increased collaboration and teamwork.  Non-visual communication allows analysts to work seamlessly with both sighted and colleagues with sight loss, to share their findings, develop requirements, and craft compelling data narratives, centred on the concept or data’s intrinsic qualities.


Further to these benefits, non-visual communication can encourages innovative problem-solving techniques, because it does not funnel people into thinking visually, it does not bias them towards any particulars, by predisposing them to the stimuli of a pre-generated image. Analysts with Sight loss can apply their unique perspectives to explore different approaches and scenarios, contributing valuable insights to the analysis process without relying on visual cues.


In conclusion, within the realm of business analysis, non-visual processing is crucial for individuals who have sight loss to equally participate, but it can also present business-wide benefits. Embracing non-visual approaches empowers all staff members of an organisation to excel in their roles, offering enhanced data comprehension, alternative communication, and adaptive problem-solving techniques that focus on the data itself, not a pre-defined notion. As we strive for inclusivity and diversity in the workforce, it is essential that the business analysis field acknowledges the value of non-visual processing and provides the necessary support and resources for Analysts with Sight Loss to thrive.


In doing so, we ensure that all individuals, regardless of their Sight capability, have an equal opportunity to contribute their skills and insights to this dynamic field, with the primary focus on processing as the valuable core of their analysis.