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A Guide To Getting The Most From Digitalisation In Your Startup

A Guide To Getting The Most From Digitalisation In Your Startup

By New Frontiers blog

A Guide To Getting The Most From Digitalisation In Your Startup

In our recent blog, Use These Easy Time Management Skills To Help Run Your Startup, we looked at how you can try to gain extra time in your day through some simple time management tricks. Sometimes, though, time needs a bit more help and that means looking at digitalisation!

Digitalisation isn’t simply about automating time-consuming tasks. Yes, it can help to streamline your processes and workflows, but it also brings in benefits such as:

  • improved information security
  • more flexible access
  • easier collaboration and communication
  • better customer experience
  • greater transparency
  • fewer duplications
  • centralised insights for better decision-making

Let’s see what’s involved.

What is digitalisation?

First things first, what exactly is digitalisation? Surely every tech-savvy startup in 2023 is digitalised by default? Actually, not always. Even startups that code software for a living can find huge digitalisation gaps in their operations workflows or back-office procedures. That’s because good digitalisation doesn’t just happen, it’s a deliberate strategy and takes thought and planning.

Digitalisation means using the right combination of tools in a way that simplifies what you do across all your departments – sales, marketing, operations, accounting, etc. – and centralises data so that you have clarity over what’s happening in the business. Ideally, these tools will be integrated so that key data can move seamlessly between teams and it’s easy for colleagues to collaborate and communicate.

How do you make a start on digitalisation?

To see where you need to bring in digitalisation, or improve digitalisation, you’ll need to assess your business processes. Remember that as a startup grows, some of the tools being used will no longer be a good fit – you could be losing out on valuable data, missing opportunities to connect dots with other parts of the business, making teams work with clunky workflows, etc. So, I advise that you assess every workflow in the business, even if you think it’s already digitalised.

You’ll want to document your processes so you can see how they can be optimised. To do this, you could:

  1. Interview/survey employees at all levels of the organisation to understand how they complete their tasks and what processes they follow.
  2. Observe and document processes by watching employees as they complete tasks, documenting the steps they take.
  3. Identify bottlenecks and inefficiencies as you document processes, looking for areas where tasks are taking longer than expected or where there are delays in getting things done.
  4. Pinpoint opportunities for automation, because manual data entry is error-prone and many repetitive tasks can now be automated thanks to machine learning and AI.
  5. Find opportunities for connectivity either through better collaboration or by syncing data across your digital solutions.

This exercise is vitally important in a startup because you may have started witht just one or two people who did everything but now have entire teams in place for these functions. You will probably find they are working in a very different way now that everything has scaled.

The resulting documentation can take whatever form works best for you. The only requirement is that it is easy to understand and can be easily updated, because its crucial to keep process documentation up to date so that everyone works the same way and you can spot any inefficiencies that creep in.

Typical formats for documenting business processes and workflows include:

  • Flowcharts
  • Standard Operating Procedures (SOPs)
  • Work Instruction manuals
  • Process maps
  • Mind maps

Define what digitalisation tools you need

Now you have a clearer idea of how everyone is completing tasks, you can define your requirements for new digital tools. This is an important step in the process of selecting the right tools for your business. Some approaches you can use include:

  1. Look at business goals: Identify the specific business goals you want to achieve with the digital solution. This will help you focus on the features and functionality that are most important for your business.
  2. Explore pain points: What pain points (inefficiencies, delays, manual tasks, etc.) did you identify when documenting your processes that could be solved with the right digital tool? These could be pain points experienced by the team or by your customers/end-users.
  3. Discuss employee requirements: Talk to employees at all levels of the organisation to understand the challenges they face so that you can find solutions that align with their workflows.
  4. Research industry best practice: Take a look at best practice in your industry to understand what other businesses are doing and what solutions are available.

The end result of this process will be a document that outlines your specific requirements for a digital solution. It should include a clear statement of the business goals you want to achieve, the pain points you want to address, and the features and functionality that are most important for your business. It should also include any specific technical requirements, such as compatibility with existing systems, security requirements, GDPR compliance, etc.

Finding the right digital tools

Your documented requirements will help you evaluate the solutions in the marketplace and serve as a reference when you talk to software vendors, as well as the developer or internal team that will be implementing the solution. It can also be the basis for creating a request for proposal (RFP) if you decide to look for vendors that way.

Evaluating digital tools in the market can be a time-consuming task. Here are a few ways to tackle it:

  1. Research existing solutions: Before you start testing different tools, research the market to identify products that might be a good fit. Look for ones that are designed for businesses similar to yours and that address the specific needs you’ve identified.
  2. Use online resources and reviews: Many websites and blogs provide reviews and comparisons of different digital tools. These resources can help you get a sense of the pros and cons of different products without having to sign up for a trial.
  3. Ask for a demo: Lots of digital platforms and software solutions provide demos of their products, which will give you a sense of how the tool works and whether it’s a good fit for your business. Don’t be afraid to ask questions during the demo and ask for case studies of how the solution has been implemented in a business similar to yours.
  4. Sign up for a free trial: Plenty of platforms also provide free trials, which can help you test the tool in a realistic setting and see how it works in your business environment. Make sure you are testing the full product, though, as sometimes free trials only give you access to a ‘lite’ version of the solution.

Remember that digital solutions are constantly evolving, and new tools are being launched all the time. It’s important to regularly review the digital tools available and the workflows in place to make sure that the best tool is being used.

Of course, you could go through this process only to discover that you are already using the perfect tool for the function in question, which is great and still a valuable exercise. You could even find that your existing solution is the right tool, but you aren’t on the right plan and so not getting the range of benefits or functionality you need. A simple upgrade could eliminate many of the pain points identified.

Harnessing the potential of digitalisation

Sometimes the biggest wins in digitalisation come from the smallest improvements. It could be that you are using tools that are perfect for your needs, but each tool stands alone within the business. This can lead to two major issues:

Data isn’t syncing across the business

This could occur in a variety of ways, for example:

  • Your ecommerce solution doesn’t connect with your in-store inventory, so you don’t have real-time stock data online.
  • Your employee leave information isn’t available wherever you do your job scheduling, so you have to keep cross-referencing to check availability.

Multiple instances of the same data

This could occur in a variety of ways, for example:

  • Your marketing team and sales team have their own CRMs, meaning you have duplicate data and a high probability of inconsistencies/errors.
  • You create your quotes in your CRM, meaning you have to then input the same information again when you invoice in your accounting software.

The solution in these situations is to get your systems talking to each other. This starts by mapping the data in your business and where it is able to travel from one solution to another. Then you will be able to see where it isn’t being communicated between tools and look for ways to change that.

You could assess the connectivity of different software with:

  1. A data flow analysis: Visualise the flow of data between different tools and systems in your organization. Identify where data is being duplicated and where there are gaps in the flow of data.
  2. A data map: A map that shows the relationships between different data sets and how they are used across different tools. This also helps you identify where data duplication is happening and where there are gaps in the flow of data.

Your next task will be to find ways to integrate your tools or allow data to move between them. Sometimes you only need the data to move in one direction, other times you will need to ensure that data added, updated, or deleted in one system will sync through to one or more other systems.

Improving connectivity between your systems

One way to do this is with a data integration tool that connects different systems in order to automate the flow of data between them. You can also such a tool to bring key data through to a central dashboard for monitoring KPIs. Zapier and Integrate.io are two well-known examples, but there are many others and the one that’s right will depend on which tools you are trying to connect.

Another way is to use the Application Programming Interface (API) of your digital systems to communicate and share data, enabling seamless integration and automation. This is a really flexible and scalable way to improve connectivity, but you will need support from a developer if this isn’t your area of expertise.

Good digitalisation: key principles to remember

As you can see, digitalisation can greatly enhance the efficiency and effectiveness of a startup, but it’s important to have a thought-out strategy. As you embark on your own digitalisation journey, don’t forget the key principles outlined in this blog: prioritise your goals, work on connectivity, and continuously monitor and maintain your integrations.

Don’t forget to implement data governance policies and procedures to ensure that data is accurate, consistent, and up to date across all systems. This includes creating guidelines for data entry, data validation, and data security. Regularly review the flow of data between different tools to ensure that they are working as intended and that data is accurate and consistent.

About the author

scarlet-merrill

Scarlet Bierman

Scarlet Bierman is a content consultant, commissioned by Enterprise Ireland to fulfil the role of Editor of the New Frontiers website. She is an expert in designing and executing ethical marketing strategies and passionate about helping businesses to develop a quality online presence.

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Using data analytics to make better business decisions

Using data analytics to make better business decisions

By New Frontiers blog

Using data analytics to make better business decisions

We can measure nearly anything these days. Analytics are everywhere… and we are increasingly becoming swamped with data as more and more is produced. But what does this mean for businesses, and for startups in particular?

The world has fundamentally changed. Each morning, I no longer look out of the window to see if it is raining or whether I should wear an extra jumper. I simply open my yr.no app and check the temperature range for the day and the likelihood of rain (especially during my cycle to and from the office). I can do this all from the comfort of my bed, even before the curtains have been pulled back. This shows the power of data to improve even the little things in our lives – though sometimes the accuracy of the rainfall does leaves a little to be improved!

We started our company, EnergyElephant, with this idea in mind. A simpler world made easier with the power of technology. Every day, we are bombarded with more information than most people would have experienced in a week just a few years ago. This has led to some data analysis paralysis or, worse, data collection with no actionable intelligence derived from it (or as I like to say, data collection for the sake of data collection).

Start seeing data as an asset

In my own experience as an engineer, I found more and more of my time was being consumed by excel spreadsheets and carrying out analysis of data sets for small and large companies. What interested me most was watching how energy assessments were carried out and how inefficient they were. An energy assessor would spend a few hours just extracting data from electricity and gas bills into spreadsheets to produce graphs on how the energy was used and where savings might be found.

Then they would spend the remainder of their time walking around and reviewing options for improving energy efficiency. Up to half their time was spent on data extraction and analysis, meaning that the real objective – finding areas for improving energy efficiency – was losing out. We also noticed businesses with large energy bills of up to €70,000 per year that did no analysis of their bills to see what savings they might be missing out on.

Our solution was to build a software platform where anyone could upload their electricity or gas bills and get the insights into their usage immediately. This system could be used by anyone – from the lay person up to the best energy professionals – to help them become more energy efficient.

Every business is a digital business

Businesses are faced with these similar problems every day. Many times they can take from the real work to be carried out. How many businesses spend time trawling through spreadsheets when they could be out doing far more productive things, like keeping their customers happy or gaining new ones?

The future of data will be one of continued exponential growth. Businesses must learn to deal with timely actions from the insights these data sets create. Increasingly, real-time actions are required but this really depends on the business type and whether what they do is time-critical. Website owners know this only too well – by the time they have reviewed a spike in their traffic it is too late to action moving these viewers through their on-boarding funnel.

But real-time or not, data is changing how we do business, and companies that successfully combine their domain expertise with data science will out-compete their rivals every time.

Use data to make better decisions

Every business generates data; no matter how small it is and regardless of what it does. If you have a website or social network accounts, if you have clients and take payments… all of this can provide you with data that can be analysed. By collecting this data in a systematic way, you can start to inject analytics into every business decision you make.

There are a huge number of analysis tools, and many of them are either free or have a free trial. Storing data has become easy and cheap, so you can complete your data with as much information as you have access to. You might be able to record customer complaint messages, access logs, abandoned carts, GPS information, etc.

My advice for data analytics would always be start with what your end objective is. Decide what question you have and what type of answer you need. Then identify the data you’ll have to collect and how you will analyse it. The next step is to source that data, structure it and query it – if you don’t have the expertise in-house to do this, there are thousands of platforms out there to cover any area of interest: marketing, customer relations, search and web traffic, business intelligence, finances, sales, etc. Once you start to get results, you need to validate them and apply the answers you’re getting. Once that’s done, you’ll be able to measure your results.

About the author

Joe Borza New FrontiersJoe Borza

Joe Borza is a New Frontiers past participant, and CEO and co-founder of EnergyElephant, a smart energy assistant.

Joe graduated from Trinity College with a degree in Engineering and went on to obtain a Masters in Sustainable Development at DIT. A chartered engineer, he has worked for over a decade as an consultant in Ireland and abroad, and lectures part-time in Trinity College on smart energy technologies, energy use in built environments and entrepreneurship.

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