As part of its new state modernisation efforts, Chile has been working on a formal public sector data strategy with a strong focus on advancing interoperability and data-sharing in the public sector and preparing the administration for the advent of increasingly sophisticated data-processing capabilities, such as artificial intelligence.
Chile’s push to move to a paperless administration that makes the once only principle effective relies on a number of key digital government infrastructure projects. These initiatives have benefitted from a level of continuity across administrations. As these projects come to maturity, they have the potential of becoming a mission-driven effort that can help drive a significant transformation of public sector operations. These initiatives are critical as they enable the timely access to relevant data by decision-makers and include:
Electronic document management system: that facilitates the electronic sharing and storage of documents in the Chilean public administration.
Interoperability framework and platform: That will foster data sharing within the administration;
Digital signature for public institutions: that can certify the validity, source and date of official electronic documents;
Digital identity: to facilitate the secure sharing of personal data across agencies and provide citizens with a reliable mechanism for proving their identity. It is hard to overstate the relevance of this project. According to the Inter-American Development Bank, over a third of government transactions in Chile concern identity and the civil registry (IDB, 2018[3]).
The elaboration of standards and data governance for the public sector: This effort seeks to foster a standardised use of data, semantics, meta-data, among other components helping structure public sector data in a way that can be easily exploited through modern data processing techniques.
Digitalisation of base registries: as a strategic effort to enhance the flow of data in the public sector and progressively simplify and integrate service delivery.
It is important to underline, however, that along with unlocking the power of administrative data, the digital revolution allows the public sector to capitalise on new data production, collection and processing capabilities to support decision-making. The quantity of data and information produced by the ubiquity of digital devices, which increasingly interact with the physical world (i.e. sensors, the Internet of Things) is only growing. More powerful computing and increasingly sophisticated statistical models and algorithms (i.e. machine learning algorithms, artificial intelligence) can lead to better public performance and more robust decision-making.
The decision to make data a critical part of public sector modernisation shows that Chile is aware of the strategic value of data. The question now is how to nurture a data-driven culture in the public sector that is ingrained in public sector operations, strategic priorities and policy objectives.
One first challenge for public administrations is to look beyond the hype and engage with the difficult task of building a technical understanding of the opportunities and limitations of new data processing technologies. Today more than ever public sector organisations need a clear-eyed assessment that grasps that data is not about buzz, but about making better decisions, and deploys data capabilities consequently (Díaz, Rowshankish and Saleth, 2018[4]). Indeed, data science skills are scarce and in high demand, making them expensive. To achieve maximum impact, the public sector must allocate its limited resources strategically.
Effective use of data starts by specifying the problem that needs to be solved. The business, policy or strategic questions, not the hype, should drive the data efforts made by the Chilean public sector.
The Government of Chile has started to experiment with data-driven insights supported by Google Analytics in key portals for service delivery: ChileAtiende and Gob.cl. Chile has also made progress in terms of integrating key data sources for service delivery, such as Customer Relationship Management (CRM) of ChileAtiende, institutional service delivery registries and the national services registry. However, examples of successful use of advanced analytics in policy and decision-making have yet to emerge. Data governance in the Chilean public sector would benefit from encouraging and expanding the implementation of data-driven techniques in highly strategic ways through frameworks, incentives, guidance and capacity building. It would also benefit from data-driven missions to improve public sector performance in key strategic areas as to ensure high returns on investment. For instance, predictive maintenance of infrastructure and equipment could lead to substantial savings of resources and lives (Bender, Henke and Lamarre, 2018[5]).
While frameworks and systems are critical, culture ultimately relies on people. Technological disruption is not new, but what makes the digital age unique is its pace, scope and reach. As previously mentioned, senior decision-makers are uniquely exposed to strategic failure due to a rapidly changing technological environment. To mitigate this risk, senior leaders will require more direct and frequent lines of communications between chief data and digital officers in the organisation. This will also empower these digital and data officers by giving them the opportunity to bring technology and data to bear as valuable sources of evidence to inform strategic decisions and to support policy implementation and service delivery. As top-level decision-makers progressively see how technology and data make them more effective executives, this relationship is bound to increasingly create a digital and data-driven culture.
Ultimately, embedding a data-driven culture into the fabric of the state so that it can survive a change in administration, chief data officers and data scientists must be able to work effectively with business units and operations teams in their organisations. By making the latter improve their own delivery, thus enhancing the performance of these units, chief data officers and their teams will gain growing support and interest from the different parts of the organisation. The interest from business units in different sectors of the administration should be nurtured. Growing demand from across the administration will ultimately feed and drive the cultural transformation.
As data drives the digital revolution, Chile is doing well to maintain the focus on having the right data policy framework that covers all key aspects of data governance in order to maximise the potential of national data value chains. If it succeeds, Chile will be ready to reap the benefits and manage the risks of data-driven transformation and harness the power machine learning and AI applications in the public sector.
Australia has led by example in this regard. Acknowledging the strategic importance of data, Australia developed a comprehensive approach towards the development of a data-driven public sector (see Box 3.2). However, it is important to highlight that such initiatives are still fairly recent and have not yet been adopted by a majority OECD members and often not as comprehensively.