Why data must become a "team" sport by Redazione Linea EDP 26/05/2022

For Fabio Pascali (pictured), Regional Director of Cloudera, the management and use of data now concern the entire organization

Fabio Pascali, Cloudera According to Fabio Pascali, Regional Director of Cloudera, the management and use of data must become a "team" sport, in other words a greater "collaboration" is required, certainly not a work of "centralization". Below is the article in which Pascali explains his reasons. Let's read it together. One theme that companies regularly question is the link between data and cultural transformation. It is a fact that the very approach to information in the company is changing rapidly, with the emergence of new data sets and ecosystems that represent new levels of value for organizations as a whole. In other words, data is becoming a "team" sport. There are two main evolutions that are pushing this change. The first at the macro level, of the general framework. Companies are increasingly relying on information to make critical business decisions. Almost all companies aim to become data-driven, but succeeding in practice is becoming increasingly complicated. The volume of available elements is exploding, and companies need to power hundreds of initiatives, often simultaneously, with every initiative requiring access to exactly the right data at the right time. Small is beautiful The second evolutionary trend is at the micro level, within each company but also at the individual team. Modern data-driven organizations have realized that control must take place locally, within small, agile teams. This requires a different mindset and tied to the product itself, decentralizing data control and reducing dependencies, all without sacrificing security and governance. These smaller teams are now able to collaborate more easily with other small teams, creating greater efficiency and a greater ability to scale. With this collaboration, more agile teams are now better able to solve real business problems with data, because they have fast, self-service access to trusted data, wherever they reside and whatever the source. It is precisely this level of access within the organization that generates real value for companies. You need a single view of your data The technological foundation of all this is the possibility of having a unique view of data, in every line of business, in every country and in every device where the latter are used. Once you've created the processes and infrastructure to leverage all the sources you have access to, you're ready to move to connected, collaborative ecosystems. An example is that of one of our insurance customers who offered car insurance only on very specific coverage bands, such as 150,000 or 300,000 euros, because for decades their operating models had been set only for this. The challenge they launched on us was: "What if we could offer a customer coverage of a different amount, perhaps explicitly requested during the contract phase?" And again: "What if we could regulate the rates at the level of the individual Municipality and not of the Province or Region?" . Behind these questions were huge assumptions about the volumes of data to be processed and the responsiveness required of analytical models. By understanding their business goals, we were able to help them design a tailor-made strategy. What is a collaborative data ecosystem? It is a platform that combines data from numerous vendors and creates value through the use of processed datasets. These datasets can come from open data sources or from multiple parties within an industry, or they can be across industries, data domains, and value chains. All this is possible today and this cultural transformation is happening right now. Wherever you are on your data journey, collaboration is key, just like in team sports. Whichever side of data exchange you're on, it's critical to collaborate across your organization and across teams, but also externally, with data and cloud service providers. Each component of this ecosystem has its role in this process, when the more effective the collaboration between the different elements, the more effective the final result will be. Just like when you play together, as a team, with the same overall goal.