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Teamwork – Can we make it?

teamwork
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Teamwork – Can we make it?

Yes, we can do it!

In life, whether privately or professionally, we are always faced with tasks that need to be completed. Many tasks can be done alone, but sometimes we are faced with challenges that simply cannot be overcome alone. Then it’s good to have a strong team to back us up.  

Because, when several people use their different skills and strengths to work together on a task/challenge, it means they are working as a team. Each individual has a specific role and takes on different subtasks, yet they are all collectively responsible for success. You can achieve more together than you can alone. That’s the basic idea of teamwork.

What does it take to make teamwork work?

In order for teamwork to work, it is important that all members of a team strive towards a common goal. Within a team, there should be open and honest communication and a certain level of trust. Everyone should be motivated and responsible in carrying out their tasks. It is also important to establish certain rules and working methods that are observed by all team members.

In recent years, the number of employees working from home offices has increased more and more. In order for a team to be able to work together despite physical distance, it is necessary to have a good IT infrastructure in a company. The use of different software solutions (ERP, CRM, SAP, DMS) and tools (Microsoft Teams, Webex, Slack) enables employees to access the data and documents they need for their work from anywhere and to hold team meetings virtually.

Want to work even more effectively as a team?

No problem. With Workflow², all your work and teams can be combined in one room.

Also feel free to follow us here on LinkedIn.

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teamwork

Image credit: Header & featured image from Alexa on Pixabay

With low code against the shortage of skilled workers

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With low code against the shortage of skilled workers

Germany currently has a shortage of qualified computer scientists in areas such as application development and systems integration. The good news is that this problem can be addressed with low-code. Low-code platforms allow anyone to create sophisticated applications without having to write a single line of code. With low-code, companies can quickly and easily develop the applications they need to close the skills gap and stay competitive.

The business world is increasingly running on apps. Companies are increasingly not only using prefabricated software, but also adapting applications to their needs or creating individual applications for specific purposes. This is time-consuming and cost-intensive and requires IT specialists with the right know-how and time capacities.

However, the shortage of skilled workers also has the IT industry firmly in its grip: According to a Bitkom study, a full 96,000 positions would remain unfilled in 2021. And professional code experts will remain a rarity in the coming years, predicts the Bitkom association. Companies that want to go digital and develop their own apps therefore need other solutions – the order of the day is low-code.

Low-code is a software development approach that uses a graphical user interface to create applications without writing code. It’s an intuitive and easy-to-use way to develop sophisticated applications quickly and easily, making it ideal for companies that need to close the skills gap.

With low-code, anyone can create custom applications without having to be a computer scientist.

Free 30 days trial

Achieving more with less

Another advantage: The more applications have been optimized by low-code, the more options are available to citizen developers, since the basis is already there. Low-code thus represents the transitional area between pro-code and no-code – i.e. programming entirely without code. In this transitional area, colleagues without code experience can carry out more complex application creation in collaboration with expert developers.

Low-code benefits all the players involved: thanks to low-code, software development can be carried out by Citizen Developers in a fraction of the time, because the platforms offer simple, fast and intuitive handling due to the standard modules offered and the elimination of complex coding.

The existing IT specialists can use their capacities elsewhere and the need for professional programmers, who are hard to find on the labor market, decreases. In short, with low-code, fewer employees can achieve more. Companies see significant cost savings as a result. In turn, the respective departments outside of IT receive the solution that fits their workflows and needs, since at best someone from their own department is involved as a citizen developer.

Digitize your documents in the blink of an eye
– with Polydocs!

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Why data matters when improving workflows

improving workflows
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Why data matters when improving workflows

To optimize your workflows and streamline your entire operation, you need accurate and relevant data. 🤓⚙️

Compiling internal and external data is a time-consuming, labor-intensive, and financially taxing task if you’re doing it manually.🤔
 
In fact, collecting and collating vast amounts of industry data is next to impossible considering the volumes of information circulating in the online and offline realms.
 
That’s why it’s important to employ AI systems to automate big data analytics and generate actionable reports quickly.💪
 
👉Companies are increasingly using big data and AI to collect and organize valuable data quickly and automatically, which leads to better predictions and forecasting. 
 
👉While using AI to automate workflows, one challenge companies are facing is a forest and trees problem: If an organization is automating one-off tasks, it is not improving processes or driving the kind ROI that organizational leaders likely expect.
 
👉Companies should keep in mind that while there’s a role for AI to play, it’s crucial that they are automating the right things for the right reasons and using the right tool for the right job.
 
Have you used AI to improve your workflows?🤔

https://doc2landing.cloudintegration.eu/

Digitizing documents with AI

Digitizing
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Digitizing documents with AI

Digital files have a clear advantage over paper documents.

Fortunately, critical business processes can be automated. State-of-the-art data processing technology is able to optimize document digitization via artificial intelligence (AI) and machine learning. 

AI algorithms can collect data and important information, comparing it with various document patterns. Companies are thus able to extract specific data from their documents.

This applies not only to document’ content, but also to documents in general:

For example, you can obtain information about how many documents of a certain type are available.

You can track your own document usage and other key figures in order to identify changing patterns and trends. 

Future integration with automatic invoicing is also possible.

Although the processing of documents using artificial intelligence is still a very young field, it is developing rapidly.

With a digitization strategy, companies can significantly improve their efficiency of document management in major business areas.

Let’s get in contact!
Digitizing Documents with AI

UI for Data Validation

Data Validation
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UI for Data Validation

Almost all business processes begin, include or end with a document. So companies – chances are that yours too – tend to sit on a pile of data. Of which, 80% is unstructured.

Now imagine all the time and energy – and manual work you’d have to invest into organize it all.

Luckily, technology nowadays is quite advanced and can help you reduce labor immensely. With an app like DOC², for example.

  • DOC² normalizes and validates the data of the procurement cycle and combines AI with Swarm intelligence.
  • This is an advantage over traditional solutions or only AI solutions, where processes have to be broken down and be laboriously remedied first.
  • Not only can data be validated via the UI, but the AI is also constantly improved and trained in the background.
  • Our Swarm AI ensures that errors only happen once and that work can continue immediately.
  • Plus, our simple UI allows the untrained employee without IT knowledge to correct the error.

Do you also want to speed up your data validation process?

Try it out now: https://doc2landing.cloudintegration.eu/

UI for data validation