FROM PILLAR TO POST
2 . Assess the current situation : It is important to conduct a comprehensive analysis of current data assets , processes and competencies , organising an inventory of data sets by business unit , identifying their proper sources and quality . It is also necessary to evaluate the technological infrastructure of storage , processing and integration to identify needs for adjustments . The information governance methodology must also be validated to align roles , responsibilities and compliance .
3 . Identify use cases : Involve key stakeholders from the various departments of the company to gather insights and find out what they are looking for in relation to the data . At this point , it is important to evaluate what are the main business objectives of each sector ; what types of data are essential for daily operations and decision-making ; how data is managed and used and the key data-related challenges ( or concerns ) that are currently faced . 4 . Develop the data governance framework : Prepare the environment for a balanced implementation of solid governance measures , considering People , Processes and Technologies as a basis . Also at this stage , define the fundamental elements of the framework , including roles , responsibilities and policies . All the principles and objectives for adopting the measures should be outlined at this stage .
5 . Define data architecture : Data engineers must design a scalable and flexible architecture , aligned with the business and taking into account the growth in the volume of information and technological advances . It is important to develop a data model and integration strategies for a seamless flow between systems .
6 . Establish data quality standards : Define a data quality process , metrics and standards to ensure accuracy and consistency in analysis . Involve key stakeholders in the data quality cycle for validations and limits on information use and information expectations .
7 . Establish security and privacy measures : Identify security and privacy requirements , establish protection measures for sensitive data , possible vulnerabilities and security threats . Pay attention to regulations in force and ensure alignment with internal policies and procedures . Establish regular security audits and assessments to help identify and proactively act on potential weaknesses found .
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