How to open a data processing company?

There's no doubt that starting a data processing company requires a lot of work, but with expert planning, you'll be well on your way to creating a profitable business venture.
This guide will give you a low down on all of the major steps involved, from choosing a legal structure to creating a financial forecast and registering your business.
We will also walk you through the process of checking whether or not your idea can be viable given market conditions.
Let's embark on this exciting journey together!
What is the business model of a data processing company?
Before thinking about starting a data processing company, you'll need to have a solid understanding of its business model (how it generates profits) and how the business operates on a daily basis.
Doing so will help you decide whether or not this is the right business idea for you, given your skillset, personal savings, and lifestyle choices.
Looking at the business model in detail will also enable you to form an initial view of the potential for growth and profitability, and to check that it matches your level of ambition.
The easiest ways to acquire insights into how a data processing company works are to:
- Speak with data processing company owners
- Undertake work experience with a successful data processing company
- Participate in a training course
Speak with data processing company owners
Talking to seasoned entrepreneurs who have also set up a data processing company will enable you to gain practical advice based on their experience and hindsight.
Learning from others' mistakes not only saves you time and money, but also enhances the likelihood of your venture becoming a financial success.
Undertake work experience with a successful data processing company
Gaining hands-on experience in a data processing company provides insights into the day-to-day operations, and challenges specific to the activity.
This firsthand knowledge is crucial for effective planning and management if you decide to start your own data processing company.
You'll also realise if the working hours suit your lifestyle. For many entrepreneurs, this can be a "make or break" situation, especially if they have children to look after.
First-hand experience will not only ensure that this is the right business opportunity for you, but will also enable you to meet valuable contacts and gain a better understanding of customer expectations and key success factors which will likely prove advantageous when launching your own data processing company.
Participate in a training course
Undertaking training within your chosen industry is another way to get a feel for how a data processing company works before deciding to pursue a new venture.
Whichever approach you go for to gain insights before starting your data processing company, make sure you familiarise yourself with:
- The expertise needed to run the business successfully (do you have the skills required?)
- How a week of running a data processing company might look like (does this fit with your personal situation?)
- The potential turnover of your data processing company and long-term growth prospects (does this match your ambition?)
- The likely course of action if you decide to sell the company or retire (it's never too early to consider your exit)
At the end of this stage, you should be able to decide whether opening a data processing company is the right business idea for you given your current personal situation (skills, desires, money, family, etc.).
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Assembling your data processing company's founding team
The next step to opening your data processing company is to think about the ideal founding team, or to decide to go in alone.
Starting and growing a successful business doesn't have to be a solo journey and setting up a data processing company with several co-founders is generally easier. The business benefits from a management team with a wider skillset, decisions are made together, and the financial risk is shared among the partners, making the journey more collaborative and less daunting.
But, running a business with several partners brings its own challenges. Disagreements between co-founders are quite common, and these can pose risks to the business. That's why it's crucial to consider all aspects before starting your own business.
We won't go into too much detail here, as this is a complex topic that deserves its own guide, but we do recommend that you ask yourself the following questions:
- What is the ideal number of co-founders for this venture?
- Are you on the same wavelength as your potential partners in terms of vision and ambition?
- How will you deal with potential failure?
Let's look at each of these questions in more detail.
What is the ideal number of co-founders for this venture?
To answer this question you will need to consider the following:
- What skills do you need to run the business? Are you lacking any?
- How much startup capital do you need? How much do you have?
- How are key decisions going to be made? - It is usually advisable to have an odd number of partners (or a majority shareholder) to help break the tie.
Put simply, your co-founders contribute skills, capital, or both. Increasing the number of partners becomes advantageous when there is a deficiency in either of these resources.
Are you on the same wavelength as your potential partners in terms of vision and ambition?
Your business partners should share the same short and long-term vision, be it business expansion or social responsibility, to avoid future frustrations and simplify decision-making. Different views are natural, but alignment is ideal.
In any case, you should think of having an exit mechanism in place in case one of the partners wants to move on.
How will you deal with potential failure?
We wish you nothing but success when starting up and growing your data processing company, but it's always wise to have a backup in case things don't go as planned.
How you deal with a potential failure can vary significantly based on the relationship you have with your business partner (close friend, spouse, ex-colleague, etc.) and the personal circumstances of each of you.
For instance, starting a business with your spouse might seem appealing, but if it doesn't succeed, you risk losing 100% of the household income at once, which could be stressful.
Similarly, going into a partnership with a friend can put pressure on the friendship in the event of failure or when you need to make difficult decisions.
There is no wrong answer, but it is essential to carefully evaluate your options before starting up to ensure you're well-prepared for any potential outcomes.
Conducting market research for a data processing company
The next step in launching a data processing company is to carry out market research. Let's take a look at what this involves.
The objectives of market research
The objective here is very simple: to assess the level of demand for your business and whether there is an opportunity for it to thrive in your chosen location.
The first step will be to check that the market is not saturated with competing offers and that there is room for a new player: your data processing company.
Your market analysis will also help you identify a concept and market positioning that has every chance of being successful in your target market, thereby helping increase your business's chances of success.
Carrying out market research for your data processing company will also enable you to better understand the expectations of your future customers and the most effective ways to communicate with them in your marketing plan.
Analyse key trends in the industry
Your market research should start with an industry analysis in order to gain a good understanding of the main players and current trends in your sector.
Once you've delved into the current state of the market, it will be time to assess what proportion of your target market can be seized by your data processing company. To do this, you will need to consider both the demand and supply side of the market.
Assess the demand
After checking out the industry, let's shift our focus to figuring out what your potential customers want and how they like to buy.
A classic mistake made by first-time entrepreneurs is to assess demand on the global or national market instead of concentrating on their target market. Only the market share that can be captured by your company in the short term matters.
Your demand analysis should seek to find answers to the following questions:
- Who are your target customers?
- How many are there?
- What are their expectations?
- What are their buying habits?
- How much budget do they have?
- What are the different customer segments and their characteristics?
- What are the main distribution channels and means of communication for reaching each segment?
The aim of the demand analysis is to identify the customer segments that could be targeted by your data processing company and what products and services you need to offer to meet their expectations.
Analyse the supply side
You will also have to familiarize yourself with the competing data processing companies on the market targeted by your future business.
Amongst other things, you’ll need to ask yourself:
- Who are the main competitors?
- How many competitors are already present?
- Where are they located?
- How many people do they employ?
- What is their turnover?
- How do they set their prices?
- Are they small independent businesses or national players?
- Do they seem to be in difficulty or are they flourishing?
- What is their market positioning?
- What types of products and services do they offer?
- What do customers seem to like about them?
The aim of the competitive analysis is to identify who your competitors will be and to gather information that will help you find a differentiating commercial positioning (more on that later in this guide).
Regulations
Conducting market research is also an opportunity to look at the regulations and conditions required to do business.
You should ask yourself the following questions:
- Do you need to have a specific degree to open a data processing company?
- Do you need specific licences or permits?
- What are the main regulations applicable to your future business?
Given that your project is at an early stage, your focus should be to ensure that there are no roadblocks from a regulatory standpoint before you deep dive into the planning process.
Once your project is more advanced, you will have the opportunity to talk about regulation more in-depth with your lawyer.
Concluding your market research
By the time your market research is completed, you should have either:
- Pinpointed an untapped business opportunity,
- Or arrived at the realisation that the market is saturated, prompting the search for alternative business ideas or models.
If the conclusion is that there is an opportunity in the market to cater to one or more customer segments currently underserved by competitors, that's great!
Conversely, if you come to the conclusion that the market is already saturated, don’t panic! The good news is that you won’t spend several years working hard on a project that has little chance of success. There is no shortage of business ideas either - at The Business Plan Shop, we have identified more than 1,300 potential business ideas!
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Choosing the right concept and positioning for your data processing company
Once your market research is completed, it's time to consider the type of data processing company you want to open and define precisely your company's market positioning in order to capitalise on the opportunity you identified during your market research.
Market positioning refers to the place your product and service offering occupies in customers' minds and how they differ from competing products and services. Being perceived as the premium solution, for example.
There are four questions you need to consider:
- How will you compete with and differentiate yourself from competitors already on the market?
- Is it better to start or buy a data processing company already in operation?
- How will you validate your concept and market positioning?
Let's look at each of these in a little more detail.
How will you compete with and differentiate yourself from competitors already on the market?
When you choose to start up a data processing company, you are at a disadvantage compared to your rivals who have an established presence on the market.
Your competitors have a reputation, a loyal customer base and a solid team already in place, whereas you're starting from scratch...
Entering the market and taking market share from your competitors won't happen automatically, so it's important to carefully consider how you plan to establish your presence.
There are four questions to consider here:
- Can you avoid direct competition by targeting a customer segment that is currently poorly served by other players in the market?
- Can you offer something unique or complementary to what is already available on the market?
- How will you build a sustainable competitive advantage for your data processing company?
- Do you have the resources to compete with well-established competitors on your own, or would it be wiser to explore alternative options?
Also, think about how your competitors will react to your arrival in their market.
Is it better to start or buy a data processing company already in operation?
An alternative to opening a new business is to take over a data processing company already trading.
Purchasing an existing data processing company means you get a loyal customer base and an efficient team. It also avoids disrupting the equilibrium in the market by introducing a new player.
A takeover hugely reduces the risk of the business failing compared to starting a new business, whilst giving you the freedom to change the market positioning of the business taken over if you wish.
This makes buying an existing data processing company a solid alternative to opening your own.
However, buying a business requires more capital compared to starting a data processing company from scratch, as you will need to purchase the business from its current owner.
How will you validate your concept and market positioning?
Regardless of how you choose to establish your business, it's crucial to make sure that the way you position your company aligns with the expectations of your target market.
To achieve this, you'll have to meet with your potential customers to showcase your products or services and get their feedback.
Where should I base my data processing company?
The next step in our guide on starting a data processing company involves making a key choice about where you want your business to be located.
Picking the ideal location for your business is like selecting the perfect canvas for a painting. Without it, your business might not showcase its true colors.
We recommend that you take the following factors into account when making your decision:
This list is not comprehensive and will have to be adjusted based on the details of your project.
The parameters to be taken into account will also depend on whether you opt to rent premises or buy them. If you are a tenant, you will need to consider the conditions attached to the lease: duration, rent increase, renewal conditions, etc.
Lease agreements differ widely from country to country, so it's essential to review the terms that apply to your situation. Before putting pen to paper, consider having your lawyer look carefully at the lease.
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Decide on a legal form for your data processing company
It's now time to think about the legal structure for your data processing company.
The legal form of a business simply means the legal structure it operates under. This structure outlines how the business is set up and defines its legal obligations and responsibilities.
What are the most common legal structures?
Naturally, the names and intricacies of business structures differ by country. However, they typically fit into two main categories:
- Individual businesses
- Companies
Individual businesses
Individual businesses are usually a good fit for self-employed individuals and freelancers who want limited administrative work. These types of entrepreneurs are commonly referred to as sole traders or sole proprietorships.
As mentioned above, the main benefit of being a sole trader is that minimal paperwork is required to launch and operate the business. Tax calculations are also relatively simple and annual accounts are not always required (and when they are, usually don't need to be audited) which saves a bit of time and money on bookkeeping and accounting fees.
Decision-making is also easy as the final decision is fully dependent on the sole trader (even if employees are hired).
However, being a sole trader also has drawbacks. The main disadvantage is that there is no separation between the individual running day-to-day operations and the business.
This means that if the business were to file for bankruptcy or legal disputes were to arise, the individual would be liable for any debts and their personal assets subsequently at risk. In essence, sole traders have unlimited liability.
This also means that profits earned by the business are usually taxed under the personal income tax category of the sole trader.
Another drawback is that sole traders might find it harder to finance their business. Debt (bank loan for example) is likely to be the only source of external financing given that the business doesn't have a share capital (effectively preventing equity investors from investing in their business).
Companies
Companies are more flexible and more robust than individual businesses. They are suitable for projects of all sizes and can be formed by one or more individuals, working on their own or with employees.
Unlike individual businesses, companies are recognised as distinct entities that have their own legal personality. Usually, there is also a limited liability which means that founders and investors cannot lose more than the capital they have invested into the business.
This means that there is a clear legal separation between the company and its owners (co-founders and investors), which protects the latter's personal assets in the event of legal disputes or bankruptcy.
Entrepreneurs using companies also gain the advantage of being able to attract equity investment by selling shares in the business.
As you can see companies offer better protection and more financing options, but this comes at a trade-off in terms of red-tape and complexity.
From a taxation perspective, companies are usually liable for corporation tax on their profits, and the income received by the owners running the business is taxed separately (like normal employees).
Normally, companies also have to produce annual accounts, which might have to be audited, and hold general assemblies, among other formalities.
How should I choose my data processing company's legal setup?
Choosing the right legal setup is often simple once you figure out things like how many partners you'll have, if you hire employees, and how much money you expect to make.
Remember, a great business idea can work well no matter which legal structure you pick. Tax laws change often, so you shouldn't rely too much on getting specific tax benefits from a certain structure when getting started.
You could start by looking at the legal structures most commonly utilised by your competitors. As your idea evolves and you're ready to officially register your business, it's a good idea to confirm your choice using inputs from a lawyer and an accountant.
Can I switch my data processing company's legal structure if I get it wrong?
Yes, you have the flexibility to change your legal setup later, which might include selling the existing one and adopting a new structure in certain situations. Keep in mind, though, that this restructuring comes with additional expenses, so making the right choice from the start is usually more cost-effective.
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How much money do I need to start a data processing company?
To answer this key question, we first need to look at the resources you'll need to launch your data processing company and keep it running on a daily basis. Let's take a look at what that entails.
Since each venture is distinct, providing an average budget for starting a data processing company is impossible.
We strongly advise careful consideration when reading estimates on the web. It’s best to ask yourself the following questions:
- Is my project similar (location, concept, planned size, etc.)?
- Can I trust where this information is coming from?
- Is the data fresh or stale?
Your thinking behind the investments and human resources required to launch and operate the business will then enable you to cost each item and include them in your financial forecast (which we'll look at later in this guide).
Once complete, the forecast will give you a precise idea of the initial investment required and profitability potential for your business idea.
Startup costs and investments to start a data processing company
Let's start with the investments. To set up a data processing company, initial working capital and investments can include the following items:
- Server Infrastructure: As a data processing company, you will need to invest in server infrastructure to store and process large amounts of data. This could include servers, storage devices, and networking equipment.
- Software Licenses: In order to perform data processing tasks efficiently, you will need to purchase software licenses for various tools and platforms. This could include database management systems, data analytics software, and data visualization tools.
- Data Center Costs: Data processing requires a lot of computing power and storage space, which means you will need to invest in a data center. This could include costs for renting or purchasing a physical space, as well as costs for cooling, electricity, and maintenance.
- Data Security Measures: As a data processing company, it is crucial to invest in data security measures to protect sensitive information. This could include firewalls, encryption software, and data backup systems.
- Hardware Upgrades: Over time, your hardware may become outdated and need to be replaced or upgraded. This could include upgrading servers, storage devices, and networking equipment to keep up with the increasing demands of data processing.
Of course, you will need to adapt this list to your company's specific needs.
Staffing requirements to operate a data processing company
You'll also need to think about the staff required to run the business on a day-to-day basis.
The human resources required will vary according to the size of your company.
Once again, this list is only indicative and will need to be adjusted according to the specifics of your data processing company.
Operating expenses of a data processing company
The final point to consider when analyzing the resources required is the question of operating costs.
Operating expenses for a data processing company may include:
- Staff costs: This includes the salaries, benefits, and bonuses for your employees who are responsible for data processing. This may also include training and development costs to keep your staff up-to-date with the latest technologies and processes.
- Accountancy fees: As a data processing company, you will need to hire an accountant to manage your financial records, prepare tax returns, and provide financial advice. This expense may also include fees for auditing and bookkeeping services.
- Insurance costs: To protect your business from potential risks and liabilities, you will need to purchase various insurance policies such as general liability, professional liability, and cyber liability insurance. These costs will vary depending on the size and nature of your data processing company.
- Software licenses: As a data processing company, you will need to invest in various software programs to manage and process data effectively. These may include data management software, data analysis tools, and security software. The cost of these licenses can add up quickly, especially if you need multiple licenses for different departments.
- Banking fees: You will need to maintain a business bank account to handle your company's financial transactions. This may include fees for wire transfers, ATM usage, and monthly account maintenance. Look for banks that offer business accounts with lower fees to minimize this expense.
- Rent: If you have a physical office space for your data processing company, rent will likely be one of your biggest operating expenses. This will vary depending on the location, size, and amenities of your office.
- Utilities: As with any business, you will need to pay for utilities such as electricity, water, and internet for your office. These costs can vary depending on your location and usage.
- Marketing and advertising: To attract clients and grow your business, you will need to invest in marketing and advertising efforts. This may include website development, social media advertising, and attending industry events.
- Travel expenses: If your data processing company serves clients in different locations, you may need to budget for travel expenses such as airfare, hotel stays, and rental cars. These costs can add up quickly, so it's important to plan and budget accordingly.
- Professional development: To stay competitive and provide high-quality services, you will need to invest in ongoing professional development for yourself and your employees. This may include attending conferences, workshops, and online courses.
- Office supplies: You will need basic office supplies such as paper, pens, and printer ink to keep your business running smoothly. These costs may seem small, but they can add up over time.
- Telephone and internet: As a data processing company, you will need reliable telephone and internet services to communicate with clients and access important data. Make sure to shop around for the best deals to keep these costs as low as possible.
- Maintenance and repairs: If you have any equipment or machinery used for data processing, you will need to budget for maintenance and repair costs. This will ensure that your equipment is running smoothly and minimize any downtime.
- Legal fees: As a business owner, you may encounter legal issues or need legal advice from time to time. These costs can be unpredictable, but it's important to have a budget for legal fees to protect your business.
- Employee benefits: In addition to salaries and bonuses, you may also offer employee benefits such as health insurance, retirement plans, and paid time off. These costs can add up, so it's important to carefully manage and budget for them.
Here also, this list will need to be tailored to the specifics of your data processing company but should be a good starting point for your budget.
How will I promote my data processing company's?
The next step to starting a data processing company is to think about strategies that will help you attract and retain clients.
Consider the following questions:
- How will you attract as many customers as possible?
- How will you build customer loyalty?
- Who will be responsible for advertising and promotion? What budget can be allocated to these activities?
- How many sales and how much revenue can that generate?
Once again, the resources required will depend on your ambitions and the size of your company. But you could potentially action the initiatives below.
Your data processing company's sales plan will also be affected by variations in consumer demand, like changes in activity during peak holiday seasons, and the dynamics within your competitive environment.
Can your business idea be profitable?
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How do I build my data processing company financial forecast?
Let's now look at the financial projections you will need to prepare in order to open a data processing company.
What is a data processing company's financial projection?
Your financial forecast will help you budget your project so that you can evaluate:
- Its expected sales and growth potential
- Its expected profitability, to ensure that the business will be viable
- Its cash generation and financing requirements
Making your financial forecast is the only way to determine the amount of initial financing required to create your data processing company.
There are lots of business ideas out there, but very few of them are viable, and making a financial forecast is the only way to ensure that your project makes economic and financial sense.
Creating a data processing company financial projection is an iterative process, as you'll need to refine your figures as your business idea matures.
You'll start with a first high-level version to decide whether or not to continue working on the project.
Then, as your project takes shape, your forecasts will become increasingly accurate. You'll also need to test different assumptions to ensure that your idea of starting a data processing company holds up even if your trading environment deteriorates (lower sales than expected, difficulties in recruiting, sudden cost increases or equipment failure problems, for example).

Your financial forecast will be part of your overall business plan, which we'll look at in more detail later. Your financial partners will use your business plan to decide if they want to finance you.
Once you've launched your business, you can compare your actual accounting figures with your forecasts, to analyze where the discrepancies come from, and then update your forecasts to maintain visibility over your future cash flows.
Financial forecasts are, therefore, a financial management tool that will be with you throughout the life of your company.
What does a financial projection look like?
The following financial tables will be used to present your data processing company's financial forecast.
The projected P&L statement
Your data processing company's forecasted P&L statement will enable you to visualise your data processing company's expected growth and profitability over the next three to five years.

The projected balance sheet of your data processing company
The projected balance sheet gives an overview of your data processing company's financial structure at the end of the financial year.

The cash flow projection
A cash flow forecast for a data processing company shows the projected inflows and outflows of cash over a specific period, providing insights into liquidity and financial health.

Which solution should you use to make a financial projection for your data processing company?
Using an online financial forecasting tool, such as the one we offer at The Business Plan Shop, is the simplest and safest solution for forecasting your data processing company.
There are several advantages to using specialised software:
- You can easily create your financial forecast by letting the software take care of the financial calculations for you without errors
- You have access to complete financial forecast templates
- You get a complete financial forecast ready to be sent to your bank or investors
- The software helps you identify and correct any inconsistencies in your figures
- You can create scenarios to stress-test your forecast's main assumptions to stress-test the robustness of your business model
- After you start trading, you can easily track your actual financial performance against your financial forecast, and recalibrate your forecast to maintain visibility on your future cash flows
- You have a friendly support team on standby to assist you when you are stuck
If you are interested in this type of solution, you can try our forecasting software for free by signing up here.
How do I choose a name and register my data processing company?
Now that your project of launching a data processing company is starting to take shape, it's time to look at the name of your business.
Finding the name itself is generally fairly easy. The difficulty lies in registering it.
To prevent this guide from being too long, we won't go into all the criteria you need to take into account when choosing a striking name for your data processing company. However, try to choose a name that is short and distinctive.
Once you have a name that you like, you need to check that it is available, because you cannot use a name that is identical or similar to that of a competitor: this type of parasitic behaviour is an act of unfair competition for which you risk being taken to court by your competitors.
To avoid any problems, you will need to check the availability of the name:
- Your country's company register
- With the trademark register
- With a domain name reservation company such as GoDaddy
- On an Internet search engine
If the desired name is available, you can start the registration process.
It is common to want to use the trading name as the name of the company, and to have a domain name and a registered trademark that also correspond to this name: Example ® (trading name protected by a registered trademark), Example LTD (legal name of the company), example.com (domain name used by the company).
The problem is that each of these names has to be registered with a different entity, and each entity has its own deadlines:
- Registering a domain name is immediate
- Registering a trademark usually takes at least 3 months (if your application is accepted)
- The time taken to register a new business depends on the country, but it's generally quite fast
How do I go about it?
Well, you have two choices:
- Complete all registrations at the same time and cross your fingers for a smooth process.
- Make sure to secure the domain names and trademarks. Once that's done, wait for confirmation of a successful trademark registration before moving on to register the company.
At The Business Plan Shop, we believe it's essential to prioritize securing your domain names and trademarks over the business name. This is because you have the flexibility to use a different trading name than your legal business name if needed.
Regardless, we suggest discussing this matter with your lawyer (see below in this guide) before making any decisions.
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Develop your data processing company's corporate identity
The next step to launching a data processing company: defining your company's visual identity.
Your corporate identity defines how your company's values are communicated visually. It makes you unique and allows you to stand out visually from your competitors and be recognized by your customers.
Defining your corporate identity can easily be done by you and your co-founders, using the many free tools available to generate color palettes, logos and other graphic elements. Nevertheless, this task is often best entrusted to a designer or agency to achieve a professional result.
Your data processing company's visual identity will include the following elements:
- Logo
- Brand guidelines
- Business cards
- Website theme
Logo
The goal is to have stakeholders identify your business logo quickly and relate to it. Your logo will be used for media purposes (website, social networks, business cards, etc.) and legal documents (invoices, contracts, etc.).
The design of your logo must be emblematic, but it's also important that it can be seen on any type of support. To achieve this, it should be easily available in a range of colors, so that it stands out on both light and dark backgrounds.
Brand guidelines
The brand guidelines of your data processing company act as a safeguard to ensure that your image is consistent whatever the medium used.
Brand guidelines lay out the details like the typography and colors to use to represent your company.
Typography refers to the fonts used (family and size). For example, Arial in size 26 for your titles and Tahoma in size 15 for your texts.
When it comes to the colors representing your brand, it's generally a good idea to stick to five or fewer:
- The main colour,
- A secondary colour (the accent),
- A dark background colour (blue or black),
- A grey background colour (to vary from white),
- Possibly another secondary colour.
Business cards
A rare paper medium that continues to survive digitalization, business cards are still a must-have for communicating your data processing company contact details to your customers, suppliers and other partners.
In principle, they will include your logo and the brand guidelines we mentioned above.
Website theme
Likewise, the theme of your data processing company website will include your logo and follow the brand guidelines we discussed earlier.
This will also define the look and feel of the main visual elements on your website:
- Buttons
- Menus
- Forms
- Banners
- Etc.
Understanding the legal and regulatory steps involved in opening a data processing company
The next step in opening a data processing company is to take the necessary legal and regulatory steps.
We recommend that you be accompanied by a law firm for all of the steps outlined below.
Registering a trademark and protecting the intellectual property of your data processing company
The first step is to protect your company's intellectual property.
As mentioned earlier in this guide, you have the option to register a trademark. Your lawyer can assist you with a thorough search to ensure your chosen trademark is unique and doesn't conflict with existing ones and help select the classes (economic activities) and jurisdictions in which to register your trademark.
Your lawyer will also be able to advise you on other steps you could take to protect your company's other intellectual property assets.
Drafting the contractual documents for your data processing company
Your data processing company will rely on a set of contracts and legal documents for day-to-day operations.
Once again, we strongly recommend that you have these documents drawn up by a lawyer.
Your exact needs will depend on the country in which you are launching your data processing company and the size of the company you are planning.
However, you may wish to consider the following documents at a minimum:
- Employment contracts
- General terms and conditions of sale
- General terms and conditions of use for your website
- Privacy Policy for your website
- Cookie Policy for your website
- Invoices
- Etc.
Applying for licences and permits and registering for various taxes
The licenses and permits needed for your business will depend on the country where you are establishing it. Your lawyer can guide you on the regulations relevant to your activity.
Similarly, your chartered accountant will be able to help you register for taxes and take the necessary steps to comply with the tax authorities.
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The Business Plan Shop makes it easy to create a financial forecast and write a business plan to help convince investors that your business idea can be profitable.

Create a business plan for your data processing company
The next step to open a data processing company: put together your business plan.
What is a business plan?
To keep it simple, a business plan comprises two crucial components:
- Firstly, a numerical part, the financial forecast (which we mentioned earlier), which highlights the initial financing requirements and profitability potential of the data processing company,
- And a written, well-argued section that presents your project in detail, aims to convince the reader of its chances of success, and provides the context needed to assess whether the forecast is realistic or not.
The business plan will enable you to verify the coherence of your project, and ensure that the company can be profitable before incurring further costs. It will also help you convince business and financial partners.
As you can see, your business plan must be convincing and error-free.
How to write a business plan for a data processing company?
Nowadays, the modern and most efficient way to write a data processing company business plan is to use startup business plan software like the one we offer at The Business Plan Shop.

Using The Business Plan Shop to create a business plan for adata processing company has several advantages :
- You can easily create your financial forecast by letting the software take care of the financial calculations for you without errors
- You are guided through the writing process by detailed instructions and examples for each part of the plan
- You can access a library of dozens of complete startup business plan samples and templates for inspiration
- You get a professional business plan, formatted and ready to be sent to your bank or investors
- You can create scenarios to stress test your forecast's main assumptions
- You can easily track your actual financial performance against your financial forecast by importing accounting data
- You can easily update your forecast as time goes by to maintain visibility on future cash flows
- You have a friendly support team on standby to assist you when you are stuck
If you're interested in using this type of solution, you can try The Business Plan Shop for free by signing up here.
Need a convincing business plan?
The Business Plan Shop makes it easy to create a financial forecast and write a business plan to help convince investors that your business idea can be profitable.

Raise the financing needed to launch your data processing company
With your business plan in hand, you can tackle one of the final steps to open a data processing company business: the search for financing.
Raising the capital needed to launch your business will probably require a combination of equity and debt, which are the two types of financing available to companies.
Equity funding
Equity is the sum of money invested in a data processing company by both founders and investors.
Equity is a key factor in business start-ups. Should the project fail, the sums invested in equity are likely to be lost; these sums therefore enable the founders to send a strong signal to their commercial and financial partners as to their conviction in the project's chances of success.
In terms of return on investment, equity investors can either receive dividends from the company (provided it is profitable) or realize capital gains by selling their shares (provided a buyer is interested in the company).
Equity providers are therefore in a very risky position. They can lose everything in the event of bankruptcy, and will only see a return on their investment if the company is profitable or resold. On the other hand, they can generate a very high return if the project is a success.
Given their position, equity investors look for start-up projects with sufficient growth and profitability potential to offset their risk.
From a technical standpoint, equity includes:
- Share capital and premiums: which represent the amount invested by the shareholders. This capital is considered permanent as it is non-refundable. In return for their investment, shareholders receive shares that entitle them to information, decision-making power (voting in general assembly), and the potential to receive a portion of any dividends distributed by the company.
- Director loans: these are examples of non-permanent capital advanced to the company by the shareholders. This is a more flexible way of injecting some liquidity into your company as you can repay director loans at any time.
- Reserves: these represent the share of profits set aside to strengthen the company's equity. Allocating a percentage of your profits to the reserves can be mandatory in certain cases (legal or statutory requirement depending on the legal form of your company). Once allocated in reserves, these profits can no longer be distributed as dividends.
- Investment grants: which represent any non-refundable amounts received by the company to help it invest in long-term assets.
- Other equity: which includes the equity items which don't fit in the other categories. Mostly convertible or derivative instruments. For a small business, it is likely that you won't have any other equity items.
The main sources of equity are as follows:
- Contributions made by the owners.
- Private investors: business angels, friends and family.
- Crowdfunding: raising funds by involving a group of people through campaigns where they contribute money or make donations, often getting something in return for their support.
- Start-up aid, e.g. government loans to help founders build up their start-up capital.
Debt financing
Debt is the other way of financing companies. Unlike equity, debt offers lenders a limited, contractually guaranteed return on their investment.
Your data processing company undertakes to pay lenders' interest and repay the capital borrowed according to a pre-agreed schedule. Lenders are therefore making money whether or not your company makes a profit.
As a result, the only risk lenders take is that of your data processing company going bankrupt, so they're extremely conservative and will want to see prudent, hands-on management of the company's finances.
From the point of view of the company and all its stakeholders (workforce, customers, suppliers, etc.), the company's contractual obligation to repay lenders increases the risk for all. As a result, there is a certain caution towards companies which are too heavily indebted.
Businesses can borrow debt in two main ways:
- Against assets: this is the most common way of borrowing. The bank funds a percentage of the price of an asset (a vehicle or a building, for example) and takes the asset as collateral. If the business cannot repay the loan, the bank takes the asset and sells it to reduce losses.
- Against cash flows: the bank looks at how much profit and cash flow the business expects to make in the future. Based on these projections, it assigns a credit risk to the business and decides how much the business can borrow and under what terms (amount, interest rate, and duration of the loan).
It's difficult to borrow against future cash flows when you're starting a data processing company, because the business doesn't yet have historical data to reassure about the credibility of cash flow forecast.
Borrowing to finance a portion of equipment purchases is therefore often the only option available to founders. The assets that can be financed with this option must also be easy to resell, in the unfortunate event that the bank is forced to seize them, which could limit your options even further.
As far as possible sources of borrowing are concerned, the main ones here are banks and credit institutions. Bear in mind, however, that each institution is different, in terms of the risk it is prepared to accept, what it is willing to finance, and how the risk of your project will be perceived.
In some countries, it is also possible to borrow from private investors (directly or via crowdfunding platforms) or other companies, but not everywhere.
Key points about financing your data processing company
Multiple solutions are available to help you raise the initial financing you need to open your data processing company. A minimum amount of equity will be needed to give the project credibility, and bank financing can be sought to complete the financing.
Track your actuals against your forecast
You've reached the end of the road and are ready to launch your data processing company.
Congratulations and welcome to the fantastic world of entrepreneurship! Celebrate the work you've done so far, and get back to work quickly, because this is where the real work begins.
Your first priority will be to do everything you can to make your business sustainable (and thus avoid being one of the 50% of start-ups that fail within five years of launching).
Your business plan will be your best ally to ensure that you're on track to achieve your objectives, or to help rectify the situation if necessary.
The key to financial management is to regularly compare your actual accounting data with your data processing company forecasts, in order to be able to :
- Quantify the gaps between what you planned and what you achieved
- Adjust your financial forecasts as the year progresses to maintain visibility over your future cash flow
No one can predict the future with certainty, but by closely monitoring the variances between actuals and forecasts, regularly adjusting your forecasts and simulating several scenarios, you can prepare your data processing company for the worst while hoping for the best.
It's the only way to keep an eye on your cash flow and actively manage the development of your data processing company, ultimately reducing the risk to your company.
There's nothing worse than waiting for your company's annual accounts to close, which can be many months after the end of your financial year (up to nine months in the UK for example), only to realize that you've fallen far short of your forecasts for the past year, and that your data processing company urgently needs a cash injection to keep going.
That's why it's strongly recommended to use a financial planning and analysis solution that integrates forecasting, scenario analysis, and actuals vs. forecast tracking, like we do at The Business Plan Shop with our financial dashboards.
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Key takeaways
- To open a data processing company you need to go through each of the 15 steps we have outlined in this guide.
- The financial forecast is the tool that will enable you to check that your project can be profitable and to estimate the investment and initial financing requirements.
- The business plan is the document that your financial partners will ask you to produce when seeking finance.
- Once you have started trading, it will be essential to keep your financial forecasts up to date in order to maintain visibility of the future cash flow of your data processing company.
- Leveraging a financial planning and analysis platform that seamlessly integrates forecasts, business plans, and real-time performance monitoring — like The Business Plan Shop — simplifies the process and mitigates risks associated with launching a business.
We hope this practical guide has given you a better understanding of how to open a data processing company. Please do not hesitate to contact our team if you have any questions or if you would like to share your experience of setting up your own business.
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