Digitization consulting

Consulting around digitization

In the private sphere, smart systems, apps and augmented reality primarily provide variety or make everyday life easier. It’s a different story for companies. Here, digitization first stands for costs. Accordingly, companies want tangible added value from digitization. That’s exactly what our digitization consulting offers. Because we look at each company in terms of its organization, culture, technological status. We identify where digital capabilities can demonstrably save costs, reduce errors, or improve products. On this basis, we develop an individual digitization concept that is also successful in the long term.

Why is digitization so important?

Digital systems automate processes, often making them run faster, more efficiently and more smoothly. This saves a lot of time - and often produces a better result.

Digital systems also take on monotonous and uninteresting tasks. This gives employees more time to do what machines can't: develop creative solutions.

Digitization opens up unimagined opportunities: new (digital) business models, intelligent work and production processes, and closer networking with customers, employees, and suppliers are emerging.

Consulting for digital transformation

Digitization is everywhere and yet often difficult to grasp. We help companies to see digitization not just as an unknown venture – but as a concrete opportunity to make their own company more efficient. In addition, we support enterprise customers in finding their individual approach to digitization. After all, what digital transformation means depends a lot on what is important to a company and what processes are in place. When it comes to offering customers better service online, for example, AI and cloud computing can be the solution. It would also be conceivable to use machine learning to predict bottlenecks in supply chains earlier – or to adjust production precisely to demand.

Digital transformation offers countless opportunities. Technologies can be integrated in all areas of a company and thus ensure a fundamental change. However, this change is unavoidable if a company wants to keep up with the market in the future.

Types of digitization

Digitization is multifaceted and manifests itself in a wide variety of forms. With their help, parts of a company can be virtualized or employees, suppliers and customers can be better connected. Digital technologies are also suitable for making the individual processes in the value chain more transparent and efficient. There are various solutions that have proven their worth to the many companies.

Cloud computing

In cloud computing, cloud providers make computing resources available that are measured, for example, in the computing unit CPU or in bytes, i.e., by their storage capacity. This has many advantages for companies: IT services can be scaled according to demand, and companies do not need their own servers to make data available – which also reduces the effort required for IT administration to a minimum. In addition, authorized persons have access to applications or data at any time and from anywhere.

Internet of Things (IoT)

The Internet of Things (IoT) refers to a network of physical objects that are connected to each other via the Internet and can thus also be controlled with the help of software. A classic example is the smart home, in which household appliances are equipped with appropriate sensors and software. But industry is also increasingly relying on IoT: for example, for measuring devices or for the maintenance and operation of machines. In total, the number of IoT devices could rise to 25.1 billion by 2025, as estimated by the industry association GSM Association.

Augmented reality

“Augmented reality” (AR) adds a digital layer to reality. This works, for example, via the smartphone or via glasses that detect the environment and add helpful information. Augmented reality can be primarily aimed at customers, such as the Ikea Place app, which Ikea customers can use to furnish their homes virtually in advance. Or companies can benefit directly from it: For example, an AR application could help to find components in the warehouse more quickly, to measure them, or to check finished products.


Apps are usually developed for smartphones. Accordingly, their functions are often based on the cell phone hardware: for example, microphone, speaker, satellite positioning or the camera. Apps also often offer their own functions, for example, by transferring data via an Internet connection. For companies, apps are a great way to connect employees internally, provide better service to customers, and thus improve their brand image. Processes can thus be accelerated and personalized well.

Artificial Intelligence (AI)

As a rule, the technology is used to make processes faster, more efficient and less error-prone. In weak/narrow AI, the intelligent capabilities are only weakly developed – thus weak AI functions within a narrow framework: for example, in facial recognition or voice recognition such as Google’s Siri. Strong AI with its own consciousness does not yet exist like this – but AI that learns, solves problems and can even be creative in a certain way.

Industry 4.0

Behind the buzzword is the vision of an industry fit for the future: In this context, intelligent digital systems are to connect people, machines, plants and products with each other – in all phases that a product passes through: starting with the idea, through development, production, use and maintenance, right up to recycling. In the imagination, the processes run largely automatically. Industry 4.0 does not yet exist – but individual elements that lead there do.


The technology relies on record blocks that are chained together. Each block contains a hash – an encrypted file – of the previous block, a timestamp, and transaction data. Thus, security, authenticity, privacy and accessibility are guaranteed. The cryptocurrency Bitcoin brought the technology into the public consciousness. But blockchain can also prove useful for companies outside the financial sector.

Robotic Process Automation

Robotic Process Automation (RPA) means that business processes are handled by a software robot. The technology is used for structured work that is repetitive and based on strict rules – and in many companies is often still performed by humans. RPA bots work like humans on the graphical user interface – so to use them, no special interfaces or modified workflows are needed.

Data Mining

The technology is already being used frequently and successfully in sales and marketing, product development, healthcare and education. The data mining process is guided by statistical methods, AI and machine learning. This enables data mining software to autonomously and efficiently identify interesting data patterns within very large data sets in a very short time.

Workshop series on digitization

In our workshop series, customers find out how digital and future-proof their own company is. We take a look at the extent to which the company in question is already using digitization, where there is potential, and what measures are absolutely necessary to equip itself further for the digital transformation.

Advantages and opportunities of a digital company


Digitization index of your company


What technology fits your business model?


What is the digital potential of your company?


This is InnoApps – Insights into our company

“Digital transformation with agile approaches is about transforming processes and empowering people to create more value for a company and its customers.”

Makele Ghebreamlak, InnoApps CEO

Looking for jobs as a digitization consultant?

We have something for you: Take a look at our open positions – we are always looking for talented people to enrich our team.

You are looking for a partner for your project?

Then you have found it here: We would be happy to advise you on digital and agile transformation with a user-centric approach. We look forward to hearing from you and our exciting exchanges.