According to IDC, 200 billion connected objects will be created by 2020, leading to the generation of 1,7 megabytes of data per person and per second on Earth. We’re still at the beginning of data explosion, but companies have already been expressing for some years now, their will to understand and be able to manage these new types of data. The term “Data-centric” was born from that need, and refers to companies’ function and management strategy. A “Data-centric” company invests in collecting, connecting and analyzing data to develop productivity and secure its growth. We feel the importance of a “Data-centric” approach when we need to face up to digital transformation stakes, from where new data arise. So what’s the utility of this approach and what benefits do we get from it in 2019?
Be “Data-centric” in the digitalization era
Digital transformation and Big Data interfere all fields and complicate development of a data strategy. What are the stakes of a “Data-centric” approach in 2019?
Data science, use of connected objects or artificial intelligence produce new data, coming from new sources. We have to deal with management issues at digital transformation time. From various sources and formats, data is stored in silos, which are supposed to be broken down in order to process and enhance information. Indeed, strict technological decisions made several years ago implied the construction of independent applications, instead of the creation of unified management platforms. Today, we left behind complex interconnection systems to manage disseminated data. It’s preferable implement a centralized database that secures and collects your information from several interfaces (such as Audros solutions).
Other efficient technics have been developed to store and let data do the talking. We’re familiar with Data Visualization, Descriptive Analytics, Predictive Analytics, Machine Learning… Companies need the help of “Data-centric” technologies to face up to changes and keep being competitive. Predictive analysis is one use of artificial intelligence (IA) that allows hypothesize. For instance, we’re now able to foresee failures of industrial machines, to automate quality and compliance control management or to maximize batches traceability. In spite of these powerful technical and technological tools, it remains necessary consider the human strategic vision. A data has to be treated globally, foreseeing the value it can represent once it’s analyzed.
Finally, digital transformation and new artificial intelligence tools arising are powerful leverages. Don’t miss to consider them as a medium and not the only processing solution for your data, to develop your strategy. A “Data-centric” approach offers in the first time to collect internal and external existing data of your company, analyze them and their behavior, their final use as well. Let’s how to proceed.
Innovate thanks to your data, it’s possible
Ask yourself the right questions and you’ll reap the benefits of an efficient data management. One of the keys is to detect potential values of your data before working on the implementation of a collecting and storage solution.
First of all, define your data sources is primordial. Three groups exist: white data internal to your company, grey data (external to your company) and black data represents mass data that’s not treated. Internal data can be fast identified, even if according to Gartner, 70% of them are not processed efficiently. What turns out to be more complicated is external data processing, because it’s non-structured, non-organized data in a database. It can be images, videos, coming from various sources like connected objects etc.
Once your data sources are defined, you have to consider their final use. Which of them can create value for your business? Here are some examples of improvements that can arise from your data:
- Improve your operational efficiency
- Go into your clients knowledge in depth
- Control economic, security, regulation risks …
- Detect and create new products/services
The objective is to be aware of your ability to innovate through your data.
Exploitation of your data will allow you cross-check various information and find out new leverages. You can find help on information management and exploitation platforms, like an EDM, TEDM or PLM software. You’re able to create an automated link between your data and design documents and your ERP thanks to the ERP Connect module. The tool guarantees the consistency of your design and manufacturing data for example. Audros CAD connectors ensures the transfer in your ERP, items and BOMs data from drawings made with your CAD tools.
You know it all, or almost, so it’s your move! Don’t hesitate to contact us to exchange about your data management.