Digital Transformation: A Definition
The leading research and advisory company Gartner refers to digital transformation as being “anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models. The term is widely used in public-sector organizations to refer to modest initiatives such as putting services online or legacy modernization. Thus, the term is more like ‘digitization’ than ‘digital business transformation.’”
For businesses to get to a point where their digital transformation is complete and efficient, they need to take into account the needs of both the workforce and the customers. Only then will they be able to pick the best possible technological option to make the required changes. Customer satisfaction is absolutely necessary for the business to keep growing. People now constantly use their phones and the digitalisation of their lives is constantly increasing with online services and apps (e.g. banking apps) so they expect the same from the businesses with which they trade.
Digital Transformation: A gradual process
While necessary, digital transformation can be difficult to implement, primarily due to its cost. Because of the lack of strategy of certain companies and the pricing, many projects have failed. Indeed, you do need to know exactly what it is you need to change and innovate within your business so as to focus on those most crucial adaptations that must be made.
The graph below shows a few steps that you can take to try and make that transition towards more digitalisation smoother.
How could no-code help?
When starting your digital transformation, it is essential to test things out and see if they work properly or not. No-code is the perfect solution to help develop and accelerate digital transformation as it enables all employees, non-tech users included, to try out new ideas and see if they could lead to something interesting. It is precisely because no-code democratizes artificial intelligence (AI) that it can be used by ‘citizen developers’ and thus can lead to the creation of apps that are going to highly benefit businesses and contribute to the innovation of the company.
One of the most important assets of no-code is that, as opposed to low-code, it minimizes the chances of coding errors that could be made using a low-code solution given that it requires you to write hundreds of lines of code manually. Want to find out more about the benefits of no-code? This article is here to help you.
2OS and No-code
2OS is a no-code platform which is a mixture of various technologies, including Artificial Intelligence (AI), Big Data, analytical tools, integration, etc. This whole process is behind 2OS’ success.
Thanks to the 2OS no-code platform, you merely need a few hours to create an AI application without any line of code. The interactive guide enables you to immediately use our platform without any instructions or training.
The 2OS platform uses various technologies including AI, Big Data and analysis tools, automation of robotic processes, integration and interoperability in the cloud. All of them are managed exclusively in the no-code universe.
Regardless of the topic (Financial AI, Business Process Automation, Risk Management, Compliance, Automatic, Document Analysis, KYC…) or the industry in which you are specialised (Finance, Banking, Insurance, Healthcare, Law, Accounting…), 2OS will solve your problems with unprecedented efficiency and help you go into your no-code digital transformation.
The 2OS platform also provides you algorithms with which you can analyze your documents and data so as to extract useful information with strong value-added (Doc Reader). You can also measure the market yields of your brands and products (Sentiment Analysis), and learn how to better communicate with your customers (Know Your Customer/Name Screening), etc.
With 2OS you can create an intelligent application while respecting the integrity of your data & the highest IT security standards. 2OS has successfully invested in different R&D activities such as text-data mining, big data analysis, and automatic generation of algorithms. The outcome is concrete results delivered to our customers, streamlined processes and significantly improved business operations.