Data and AI Governance
Make it Tangible
Prodago Operationalizes Data & Analytics Governance
Trust and compliance are in the details. You have a reputation for getting things done. Your management has tasked you with the responsibility of quickly experimenting and deploying AI and Advanced Analytics in your business functions, wherever it can add value, as fast as possible.
As you embark on this program, you know that you will need to demonstrate that the organization complies with all the policies, rules, standards and regulations applicable to the data and its use for every initiative, project, department and system involved. You know that your analytics initiative risks being slowed down or even stopped by the lack of well-defined and actionable governance. Opening up data and multiplying its use has the potential to create a lot of business value, but it also exposes the organization to data risks. As a pragmatist, you wonder what your actual data risks are and how you will mitigate them, what the gaps are within the organization and how you will get it right the first time.
Prodago equips you with the platform to accomplish all of it, providing you with the tools to proactively assess, implement and control the governance and management of data. This is what we call the Lean Data & Analytics Governance Operating Model.
Connect the Dots
Prodago Provides Complete Lineage
The fundamental value proposition of Prodago is how it connects all the dots, from high-level policy, standard or regulation, to the regular execution of operating procedures that enable their compliance. Prodago effectively makes trivial the intricate and arduous work of mapping, selecting, scoping and tracking the implementation of operating practices. By organizing, breaking down and presenting the work in manageable steps, Prodago puts you in complete control. Once in place, the execution of operating practices by the people accountable can be tracked and verified, as often as required.
For example, Prodago can map each specific GDPR or PIPEDA requirement to the execution by its operating practice’s owner to make sure you are compliant for each sensitive data use case, system involved or project scenario. You will be able to assess where the gaps are, close those gaps and make sure they remain that way. That is how the Lean Data & Analytics Governance Operating Model helps you manage your data risks.
A comprehensive collection of data risks linked to operating practices that prevent or respond to data-related risks. By assessing deficiencies in these practices, we identify the risks to the data itself. Aimed at the corporate Risk Management function, tasked with integrating data as a risk facet.
A comprehensive collection of operating practices to manage Data Privacy. Covering laws like GDPR, PIPEDA and the CAPA, it accelerates both the assessment of gaps in your current Privacy Strategy and enables you to define a clear vision and roadmap to adjust, even when you do not control the accountable stakeholders.
A comprehensive collection of operating practices to manage Data Quality, Compliance and Ethics in the application of modes and AI. Covering aspects of traditional corporate data governance and project-level analytics model development, this accelerator provides all the operating practices that will enable an organization to grow their advanced analytics applications.
KNOWLEDGE REGISTRY NAVIGATION
The platform navigation module enables the users to dynamically explore the knowledge registry using powerful filtering and search capabilities. The Prodago Framework organizes the data management rules and their corresponding operating practices against different frames of reference, used as a set of business-driven lenses, each of which can be used to provide different views of the information.
ACCOUNTABILITY MODEL & MATRIX
The Prodago Platform Accountability module makes it possible to establish decision-making accountability and responsibility for executing each of the operating practices. Prodago proposes a standard accountability model with two (2) levels: Leadership area and Functional area. This approach greatly facilitates identifying and involving the right stakeholders during assessments, bringing legitimacy to the activity.
DATA & A.I. GOVERNANCE OPERATIONAL ASSESSMENTS
Leveraging the Knowledge Registry, the Assessment module allows a user to carry out an assessment/audit of their current operational state regarding a targeted business objective. The business objective can be a Trust Capability the organization needs to put in place (e.g., Data Quality), a law it is subject to (e.g., GDPR), a business process it needs to modify to follow specific guidelines (e.g., Ethical A.I.), or a set of data risks it wishes to mitigate. The assessment could be for a particular department, project, or the entire organization.
The solution provides powerful analytics to understand and compare the wide range of imperatives and standards an organization may face, assess governance readiness in terms of policy gaps, and plan an operational implementation roadmap.
Prodago provides Accelerators to speed-up implementation and capture best-practices
We offer hundreds of operating practices to ensure compliance, quality and principled use of data and analytics, all ready for you to start from. They are organized into accelerators for common data and analytics governance objectives like GDPR or PIPEDA compliance, data quality management, model management or the principled application of AI.
Prodago further enables you to adapt your implementation to only the appropriate operating practices that are right for your context. It will adjust your implementation roadmap based on frames of reference such as your AI adoption stage, specific classes of data you need to cover, your particular AI processes and many others.
Successful Lean Data & Analytics Governance means creating capabilities within your organization to manage data quality, compliance and use the data responsibly. Prodago's platform comprises capabilities to serve any public, private or government organization: