Start with your business, not a technology stack

We start with the business itself: what you are creating, how it will operate, what information you will need and the decisions you will need to make. From there, we define appropriate data, systems and technology requirements rather than starting with a predetermined startup technology stack.

This can include deciding what information is worth collecting and measuring, how systems and data should work together, what technology needs to do and where automation or AI could be useful. We can also use modelling and synthetic data to explore how a business, product or service might work before enough real-world data exists.

What technology does your new business need?

A startup does not need a particular collection of systems simply because other startups use them. The appropriate setup depends on the business model, customers, operations, people, budget and the decisions the business needs to make.

For one startup, relatively simple accounting, payments and customer records may be enough. Another may need booking or ecommerce systems, operational reporting, integrations between platforms or more structured data from the outset. A technology-led business may have systems and data at the centre of the product or service it is creating.

We establish how the business needs to work, what information is required and which capabilities matter before deciding what technology should support them.

Useful data starts with useful questions

Businesses collect and generate information from the moment they start operating, but not all of it needs to be seen, understood and used immediately. We identify the data that can answer useful business questions about customers, sales, marketing, pricing, capacity, staffing and operational performance at the stage your business is at.

This includes deciding which metrics need tracking, establishing how information should be captured, bringing useful data together and creating easy-to-use reporting or dashboards that can develop over time. The business needs enough information to understand what is happening and make informed decisions. Measuring everything available adds little value.

What if the data does not exist?

A new business will not have much real-world data to work with. You are unlikely to know exactly how many customers will buy, what they will spend, when demand will be highest or how much capacity you will need. That is completely normal, and it can be a useful time to explore how the business might work.

We can use the evidence you already have, such as customer research, validation work and early enquiries, alongside the assumptions you are making about the business. Modelling and synthetic data can then help you explore different possibilities before you have enough real-world information to answer those questions with certainty. Rather than making those early decisions from a single set of assumptions, you can see how different scenarios affect the business and use that thinking when setting budgets, planning marketing or staffing, considering capacity and discussing requirements and costs with potential suppliers.

For example, a café could explore what happens with different customer numbers, average spend, opening hours and staffing levels. A digital service could explore different numbers of users, pricing models or patterns of usage. This does not predict exactly what will happen. It shows which assumptions make the biggest difference and which questions will be important once the business starts operating.

This also gives you the opportunity to decide what you want to track from the beginning, based on the questions that matter to the business. As customers arrive and the business starts generating real information, you can compare what happens with what you expected, learn from the differences and gradually replace assumptions with evidence.

Technology that fits the startup

Startup technology does not need to reproduce the systems of a much larger company. We look at what the business needs its technology to do, who will use it and how it needs to support the way the business operates. This can include accounting, payments, customer management, ecommerce, booking, operational systems, reporting, communication, integrations and requirements specific to the product or service.

Where existing tools provide what is needed, there is no reason to replace them simply to create a more impressive technology stack. Where something new is required, defining what it needs to do first makes it easier to compare systems, suppliers and costs.

We also consider how the needs of the business may change as it develops. We choose technology around the needs of the business now, while identifying what might trigger an upgrade, change or replacement later. There is no need to pay today for every possible future requirement.

Systems and data need to work together

As different tools are introduced, it is important to understand what information needs to move between them and why. A payment platform, accounting package, CRM, ecommerce system or operational tool may each hold useful information, but that does not mean everything needs to be connected.

We look at what information the business needs, where it comes from, where it should be held and who needs access to it. This helps determine which integrations are useful, what information needs to be brought together for reporting and where separate systems can sensibly remain separate.

We design the systems and information flows so that information is available where it is needed without creating unnecessary technology, integrations or complexity.

Automation and AI are options, not requirements

Automation and AI can be useful for a startup, but neither needs to be introduced simply because the technology is available. We look at how work is being done and where technology could save time, reduce repetitive tasks, improve consistency or help people make better use of information.

Where automation or AI could help, we consider what the business needs the technology to do, the information it will use, what happens when something does not go as expected and where human judgement or oversight is still needed.

The starting point is the outcome the business needs, the processes and technology required to achieve it, and identifying where automation or AI could improve how the work is done. This might apply to a complete process or particular parts of it.

Build for now while recognising what could change

A startup’s requirements will change as it gains customers, employs people, processes more transactions, introduces new products or develops more complicated operations. We consider what the business needs now, what it may need next and the changes that could affect those requirements.

That does not mean buying everything in advance. It means understanding where today’s decisions could make future changes unnecessarily difficult and recognising when a simple approach should be reviewed. A spreadsheet can be entirely appropriate today and inadequate later. A basic CRM can meet the current requirement without committing the business to an enterprise platform. Manual work can remain sensible until its volume or complexity makes automation worthwhile.

This gives the business what it needs now, while identifying what may need to change later and the point at which that change becomes worthwhile.

We provide

The support you need will depend on the business you are building and the stage it has reached. This can include

· Data strategy and deciding what information to capture

· Startup metrics, reporting and dashboards

· Operational, scenario and synthetic data modelling

· Defining and mapping technology and system requirements

· Reviewing and comparing software options

· Data structures and governance

· App and software integrations and information flows

· Process mapping and operational requirements

· Automation and AI opportunities

· Planning for future data and technology needs

Building solid data and technology foundations

There is no standard technology stack or set of metrics that every startup needs. We combine business and operational analysis with data and technology knowledge to define requirements around the business you are building.

We explain the available options, their costs and trade-offs, what the evidence tells us and what is still unknown. This gives you the information to decide what is appropriate now and what can wait.

Where specialist technical expertise is needed, we define the requirements, identify the appropriate expertise and can support the work through implementation. This means specialist suppliers can work from requirements based on what the business needs rather than defining those requirements through the products or services they sell.

The systems, information and ways of working we develop with you are designed to be understood, used and maintained by the business as it develops.

Talk to us about your startup

Tell us about the business you are building, how you expect it to operate and what you are trying to understand or achieve. We will establish what data, systems or technology need to be considered and the appropriate scope for the work. You can either email basil@wisewhale.co.uk or book a call.

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