ADA Strategy Development
The ability to develop and communicate an ADA strategy, which consists of a vision, mission, and ADA Roadmap with milestones, to ensure alignment with the overall organizational strategy by supporting the use of ADA as a strategic priority.

ADA Strategy Deployment
The ability of management to embrace ADA by having a top-down commitment at the strategy level, allocating resources and budget to ADA initiatives, and fostering shared accountability for the ADA strategy.

ADA Portfolio Management
The ability to oversee all ADA initiatives, ensuring their coherence, strategic alignment, and prioritization in line with the ADA strategy. It involves making informed decisions for the ADA portfolio, considering each initiative's value, impact on business objectives, and resource requirements.

Data Architecture Management
The ability to establish a scalable and efficient architecture that explicates how data should come together conceptually and enables the storing, processing, and serving of data in support of a single source of truth.

Data Integration Management
The ability to realize the envisioned data architecture and establish a single source of truth by integrating ADA technologies, tools and IT systems and maintaining them to ensure continuous and seamless data flow among these systems.

Management of ADA Technologies
The ability to identify, acquire, and utilize (emerging) ADA technologies and tools for data extraction, cleansing, enhancement, and analysis.

Business Understanding
The ability, in the context of an ADA initiative, to understand the organization, identify opportunities to enhance organizational outcomes with ADA, and convert the organizational understanding into requirements for designing and implementing an effective ADA solution.

Data Understanding
The ability, in the context of an ADA initiative, to develop a shared understanding of the collected data and its context, relevance, and potential implications.

Data Preparation
The ability, in the context of an ADA initiative, to acquire, organize, and interpret data from various sources and clean, transform, and enhance the data into a format suitable for analysis.

Modeling
The ability, in the context of an ADA initiative, to effectively select and employ ADA techniques to develop and train analytical models, from descriptive to prescriptive, to distill meaningful patterns and insights from data for enhanced decision-making, and to evaluate these models on their technical performance, fairness, and bias.

Deployment
The ability, in the context of an ADA initiative, to deploy an ADA solution in the organizational, operational, and decision-making processes and monitor it to ensure the model stays operational to give up to date predictions and insights for enhanced decision-making.

Project Management
The ability, in the context of an ADA initiative, to plan, execute, and oversee all aspects of an ADA initiative, from business understanding to deployment, while adapting to the dynamic nature of ADA initiatives.

Value Realization
The ability, in the context of an ADA initiative, to measure and monitor the impact of an ADA initiative in the organization, share these insights with all relevant stakeholders, and decide on its continuation or retirement based on its delivered organizational value.

Change Management
The ability, in the context of an ADA initiative, to manage impacted individuals to embrace the technological changes of deployed ADA solutions and ensure effective usage and adoption of the deployed ADA solution.

Data Governance
The ability to actively design and implement decision mechanisms regarding the structures, principles, policies, roles, and processes for managing data. These mechanisms enable clear decision-making rights and responsibilities, ensure alignment with the ADA strategy, and establish structures to mitigate risks by incorporating controls.

Data Quality Management
The ability to ensure information requirements are met throughout the ADA lifecycle, from acquisition to storage and analysis, by measuring and controlling the quality of data collected.

Privacy & Security Management
The ability to safeguard sensitive information, ensure confidentiality, implement identity and access management, and uphold robust security measures throughout the entire ADA process.

Ethics Management
The ability to use ADA under the premise of responsibility, transparency, and fairness across the complete ADA lifecycle, emphasizing ethical considerations in data gathering, processing, and decision-making.

Compliance Management
The ability to meet changing regulatory requirements, mitigate risks, and support sustainable, trustworthy ADA.

Culture Management
The ability to permeate ADA into the organization’s social fabric by increasing awareness of ADA advantages and encouraging active participation in the development of a data-driven environment.

Innovation Management
The ability to use ADA to fuel innovation by encouraging entrepreneurial mindsets and collaborative behaviors across the organization to facilitate data-driven experimentation.

ADA Literacy Management
The ability to develop employees’ data literacy, analytics skills, and competence to work with current and future technologies by providing training and education.

Talent Management
The ability to recruit and retain analytics talent who have the relevant business and technology skills to implement analytics practices and are adept at navigating new analytics techniques.

Communication & Collaboration
The ability to facilitate collaboration and communication among ADA experts and organizational units by developing a common understanding of ADA and its potential business value and encouraging information sharing about (emerging) ADA technologies and ongoing ADA initiatives in the organization to enhance the potential of ADA.