Integrate. Transform. Analyze. Data management & Analytics to support companies sustainable improvement
Yesterday morning, filling out the shopping list, I received the following request: “Mom, do you remember to buy solid shampoo? But please, don’t take it if it’s in plastic packaging! ”. This new green awareness that increasingly finds space in everyday life by digging a groove in our conscience as consumers, finds a growing response also among companies. Companies that are understanding and embracing the urgency of a change aimed at developing a new profitability paradigm.
This paradigm first of all envisages a total dedication and vocation to research and innovation, but at the same time also an accurate and above all critical observation of each phase and passage foreseen by the production chain. Every activity and action that accompanies the production process, the financial process or the supply chain leaves behind an important trail of data. This trail is essential to allow companies to measure themselves in carrying out their activities and consequently identify areas for improvement.
But it’s not always easy to measure. The ecosystem in which sustainability moves is extremely fluid. It is supported by a dense network of procedures, models, rules and regulations that are gradually added or adapted and modified. Equally volatile are the phenomena whose change and evolution requires a review by the procedures. Because if the way we interact with people, things and the environment changes, our behaviors become unpredictable or simply go out of the known patterns, feeding a mechanism that is sometimes virtuous, but sometimes it is not, and in any case destined to generate an impact that will need to be managed.
At this point the question to ask is: “Are we confident to have all the data we need to support measurement and drive change?”
We certainly have the so-called primary data, generated by the applications in use in the company; economic and financial data, data relating to materials, suppliers, employees or emissions generated by assets and resources owned by the company, but these only tell part of the story. To have the whole storytelling, it is also necessary to have control of the secondary data, that we do not own, but which inevitably contribute to the green reputation of every company. Just think of market data, benchmark data, opinion data or in any case all those data that come out of the controlled perimeter of the company – not least the emissions generated for example by the fleets used by the suppliers of our suppliers, and the list can continue even beyond.
But how can we bring all this data under our umbrella?
Here it is not easy. We have to deal with the complexity resulting from the heterogeneity of technologies, formats, architectures. But if complexity is a challenge, the value that the adoption of a structured governance process of this varied ecosystem can generate, and a consistent and smart use of the data that are part of it, can only transform into a great opportunity. Opportunity that passes through the enabling of business lines users with agile solutions capable of supporting continuous improvement. By leveraging an “extensible” data set, it is possible to devise other business models, not necessarily more complex, but which are the result of a phase of continuous observation and learning and of a reasoned comparison based on a concept of pervasiveness and holistic view of the data.