Dexi RAINTM

Rapid Automated Intelligence

The RAIN innovation model has been developed over the past two years by analysing the process of more than 20.000 projects, success rates and then refined by the Dexi Innovation Team lead by Co-Founder Jacob Laurvigen.

Data and intelligent innovation is very rarely something that can be defined as a closed process. When you start applying automated intelligence based on external data resources it starts as a simple process, building up trust and adding layers. The best way to describe this is if you imagine that you have a completely clean brain of a new born. Firstly you need to give the brain the tools to process information.

Next you ad simple tasks to ensure that it works probably and then you can start adding layers, automation and intelligence. Once defined and fully incorporated, then you can speed up the process. But it goes without saying that once you have a fully functional process defined, why would you want to stop? Intelligent Data Automation is the 4th stage of the business evolution and as you wouldn’t want to stop using electricity or motorised transport, you will never stop using data and with the RAIN model you will have a proven model for implementation and management.

To learn more please contact someone from the RAIN-Innovation or let us know your preferred partner and we will make sure to introduce you to a Dexi certified individual. Get in touch

RAIN explained

Are you ready to initiate your organisation's data driven evolution?

Even the smallest seed will initiate the future foundation of your company or organisation Intelligent Master Data Automation process! Becoming a true data driven leader starts with good planning and a dedicated team and the right partner and any organization will benefit greatly from intelligent data automation.

The responsibility for data management lies primarily with the internal analytical team, but dexi can provide a supporting framework of guidance, tools and infrastructure and support with all the facets of building an ever evolving Intelligent Master Data Solution.

Establishing the roles and responsibilities of all parties involved is key to successful Intelligent Data Automation. In the past years Dexi has deployed more than 30 million data research robots and processed more than 700 TB data automating the equivalent of almost 200 years nonstop data research.

To control this process we have developed and refined the first model for master data management enabling any company of utilizing the power of Intelligent Automation (IA).
1. Research If research data is consistent and well organised, the result is high quality data.
2. Deploy Each robot is built to simulate human interaction with each unique data source.
3. Automate When all robots have been tested and are running according to a schedule they are integrated in the master robot (pipe) further calibrated.
4. Evaluate Adjust and possibly restart the process before moving into the final stage of authenticating the data.
5. Authenticate When data is authenticated it means that it will now have real-time influence on actions and decisions.
6. Implement The new data is now ready to be added as a new layer or connection to the Intelligent Master Data Solution.

The 6 steps

1

Research

If research data is well organised, documented, preserved and accessible, and their accuracy and validity is controlled at all times, the result is high quality data, efficient research, findings based on solid evidence and the saving of time and resources. Researchers themselves benefit greatly from good data management. It should be planned before research starts and may not necessarily incur much additional time or costs if it is ingrained in standard research practice,
2

Deploy

Each robot is built to simulate human interaction with each unique data source. For the initial pilot and testing Dexi has internal experts that will help produce the first POC.
3

Automate

When all robots have been tested and are running according to a schedule they are integrated in the master robot (pipe) further calibrated.
4

Evaluate

The most crucial part of the process is the evaluation. This is last chance to adjust and possibly restart the process before moving onto the final stage of authenticating the data. This is where the data is put to the test and evidence prepared.
5

Authenticate

Authentication of the data should be taken very seriously and it is crucial that evidence is approved and signed off. When the data is authenticated it means that it will now have real-time influence on actions and decisions.
6

Implement

The new data is now ready to be added as a new layer or connection to the Intelligent Master Data Solution. Dexi has several API features that allow you to implement and integrate your master data. Your organisation is now officially a part of the data driven evolution!

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