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The purpose of the audit is objectivized, adapted to the nature of the organisation,
assessment of the degree of maturity in the field of managing:
One of the audit products may be the Canonical Data Model: a coherent, aggregated picture of all data held in the company, thanks to which it is possible to identify, among others, where the data subject to GDPR are stored.
The audit will be performed using the scoring method and our own analytical tool, containing a set of KPIs, indicator weights, aggregation methods and categorization into measurable and non-measurable indicators.
Audit activities will be carried out using the expert interview method and will include collecting and calculating analytical KPI measures, supplementing an automated analytical tool and calibrating indicators depending on the individual needs of the recipient.
The tool for conducting a maturity audit is a report prepared and tailored to the individual needs of the recipient, which in an aggregated manner presents a synthetic level of maturity, determined according to a 4-point scale consistent with DAMA International standards and practices.
After performing the audit and calculating the synthetic maturity measure, on the basis of partial measures, BI Insight issues recommendations as to the further development in individual areas of data management.
BI Insight, in consultation with the recipient, will determine the perspective and scope of recommended changes, and will prepare a strategy and a road-map for the implementation of changes.
Potrzebujesz audytu?
The organisation is aware of the need to manage data and data quality, but so far activities in this area have been ad hoc, unstructured, without clearly defining responsibilities and in relation to selected business areas or systems. The organisation also sees a growing risk related to the low quality of key data.
The organisation has taken steps to implement data management and data quality principles. For this purpose, it defined the strategic elements of Data Governance, designated the unit and its place in the organisational structure, equipped with the necessary tools for measuring and monitoring data quality, managing data quality incidents and cataloguing data.
The organisation has an effective unit responsible for data management. The Chief Data Officer plays a key role in data management, properly empowered in the management structure, equipped with the necessary competences and authorisations to create a policy for managing projects that use data, systems and repositories.
The organisation is fully mature and aware of the value of collected and processed data. It has fully implemented all elements of Data Governance. Employees participate in these processes, fulfilling the role of business data owners, and actively create and launch new project initiatives in the area of data use and quality management. The Chief Data Officer plays a key role by participating in strategic activities at the highest managerial level.
