Among the factors that are driving this change of pace is certainly the regulatory push, particularly in the finance market with the laws on prudential supervision and risk management, but more generally in all sectors, such as, for example , the protection of personal data. A contribution will also be a greater supply of mature solutions and technology services, applications, methodological. Consider the evolution of the proposals in the field of big data, the advanced analytics, machine learning. Consider the emergence of professionalism as that of the given officer, central figure of government processes aimed at ensuring integrity, accuracy, completeness, timely data availability. Or the date of the scientist, whose goal is to produce more with higher added value, starting from the huge amount of available primary data. And it is perhaps in this now widespread awareness of the information value chain which is the turning point. Acquiring a given comes at a cost for the company. To govern a given (guaranteeing quality, giving it an ownership, defining common semantics throughout the organization) has a cost, interpret and transform the raw data into useful information to management and business development at a cost.
But with the increase of the cost it must also increase its value. A concrete value, in many cases convertible into money or into an object of exchange, which also raises a number of ethical implications: the capitalization of the value of a piece of information can not be to the detriment of the rights of the subject of which, through this information, is defined the identity, describes the profile master, health attributes, financial position, behavior and lifestyle. The recent European legislation GDPR for personal data protection principles and introduces provisions aimed at regulating the management of this information, thus adding a further burden on businesses. What you are therefore needed to do to ensure an adequate trade-off opportunities, risks and compliance with the rules? To close with a positive balance between costs incurred and the value to be exploited? This is the goal that our company certainly like others, stands for years.
The answer is for us a holistic view, in an approach based on the founding principles of practicality and sustainability. Any intervention designed and executed along the chain of the value of information, be it data classification, data quality, data masking, auditing processes and the roles of government, is evaluated in terms of costs and benefits over prospects regulatory, risk mitigation, value for the business. Concrete results in terms of efficiency can be achieved in data-focused projects, defining the priorities correctly, finalizing interventions in more than one perspective, a total of reducing costs and, above all, allocandoli taking into account the maximum possible level of return.
Vittorio Lusvarghi, CEO of System Evolution