The IoT (Internet of Things) phenomenon is a tangible reality, that is spreading across the length and breadth of our personal and professional environments. Who does not already have a device capable of collecting data on mobility, health, home automation, logistics…? One of the examples is closer than we think: whether you are aware of it or not, our mobile phones are continuously recording information about how we use them and our customs.
Industry 4.0, health care, Smart Cities, new logistics models, the automotive industry, vending, mobile work forces, technical support, CRM, geopositioning, the introduction of the IoT has many application scenarios, and there is much more to come!
The consultancy firm Gartner predicts that by the year 2020 there will be about 26,000 million connected devices and the only purpose of these devices will be to generate more and more data.
Issues such as a reasonable cost of the devices and connectivity are being resolved. There’s a lot of interest in the business that this new paradigm is generating.
Regarding the correct collection of the information, we, fortunately, have cloud-based options to store it all, no matter how much, or when it is generated. Scalability and availability are guaranteed by a pay-per-use model that couldn’t be more appropriate since it fully adapts to our needs, whatever they may be.
However, overwhelmed by this amount of data, you would probably be missing what is known as ‘the last mile of the IoT’, the last link to the Internet of Things, which is precisely data analysis.
The real challenge is in linking and using the data generated by IoT devices
You have to help people see and understand the data they have obtained. However, it is not an easy task to cross-reference so much information from both structured and non-structured sources correctly.
Fortunately, Tableau is the ideal tool to solve this phase of the life cycle of the data generated by the IoT. There are four key reasons:
- The speed with which results can be obtained. Tableau is a platform that provides a quick analysis, and it is also flexible and easy to implement. It makes it possible to try various methods and identify data deficiencies during the analysis process. All this without the need for large developments, allowing users to create their own
- The flexibility to analyse the data. Users have interactive dashboards and reports and can obtain stunning visual information with ease in a matter of minutes. The idea is to get answers to new questions, providing users with self-service options. This is exactly what Tableau does.
- The ability to integrate data from a variety of sources. Its data engine is an innovative analytical database designed to overcome the limitations of existing databases and data silos, and to support a visual analysis process. And it does this using seamless integration with corporate data bases and existing infrastructure.
- Collaboration and the great ease of sharing information. Sharing the results also allow us to be more strategic when identifying issues and collaboratively resolving them. With Tableau Server, you can share, collaborate, and make decisions based on data, transforming any person into the best analyst in your company, providing them with interactive dashboards on web-based and mobile devices.
If your organisation is embarking on new IoT projects and you are seeking excellent results, you have to understand all the information you are receiving; you have to understand the data. Tableau is, without a doubt, the perfect tool to understand and analyse data, and we are your best partner to help you achieve this.