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- | ===== Awareness of data quality ===== | ||
- | |||
- | === Definition === | ||
- | Awareness of data quality is [[general_term: | ||
- | |||
- | ===Note 1=== | ||
- | Awareness of data quality is an acknowledgement or realisation by everyone in an organisation, | ||
- | that their current skills and competencies are (becoming) ineffective, | ||
- | inadequate quality. | ||
- | |||
- | Knowledge is generally, expertise; familiarity gained through experience or association; | ||
- | of a situation and familiarity with its complexity. Understanding of the significance of information. | ||
- | (DAMA-DMBOK Guide, 1st edition, page 3.) | ||
- | |||
- | Situational awareness is the perception of an environment' | ||
- | (DAMA-DMBOK Guide, 1st edition). | ||
- | |||
- | ===Note 2=== | ||
- | |||
- | ISO 9001 states, that the organisation shall ensure that persons doing work under the organisation' | ||
- | - The [[data_quality_management_system: | ||
- | - Relevant [[data_quality_management_system: | ||
- | - Their contribution to the effectiveness of the [[data_quality_general: | ||
- | - the implications of not conforming with the [[data_quality_general: | ||
- | |||
- | ===Note 3=== | ||
- | In practice, skills and competencies are very often used interchangeably, | ||
- | |||
- | | | **Definition** | **Examples** | | ||
- | | **Skill** | Specific learned abilities one requires to perform a given task successfully | Programming-skills, | ||
- | | **Competency** | Knowledge and behaviours that lead one to be successful at a task | Conscientious, | ||
- | |||
- | ===Note 4=== | ||
- | |||
- | Awareness and knowledge are also used interchangeably, | ||
- | proficiency: | ||
- | |||
- | | **Proficiency Category** | **Proficiency Level** | **Skill** | **Competency** | | ||
- | | Mastery | Level 4.x Level 4.1 | (out of scope for this factsheet) | (out of scope for this factsheet) | | ||
- | | Skilled | Level 3.x Level 3.1 | (out of scope for this factsheet) | (out of scope for this factsheet) | | ||
- | | **Knowledge** | Level 2.x Level 2.1 | Skills to e.g. inspect and correct [[data_quality_management_system: | ||
- | | **Awareness** | Level 1 | Skills to acknowledge, | ||
- | |||
- | Awareness of data quality has only one proficiency level and is about leadership and staff having the skills and competencies to recognise or acknowledge the occurrence of inadequate data quality and its impact on the organisation. | ||
- | |||
- | After having awareness, the next step is “Knowledge of data quality”. This is about having the skills and competencies to take effective actions to improve the quality of data to an adequate | ||
- | |||
- | level with some guidance from others. | ||
- | |||
- | The labels of the proficiency categories “Skilled”, | ||
- | descriptions of the skills and competencies may vary from organisation to organisation. | ||
- | |||
- | === Synonyms === | ||
- | |||
- | * Data quality cognizance | ||
- | * Data quality consciousness | ||
- | * Data quality familiarity | ||
- | * Data quality knowledge | ||
- | * Data quality realisation | ||
- | * Data quality understanding | ||
- | |||
- | === Purpose === | ||
- | |||
- | The purpose of awareness of data quality from leadership and staff, is to positively contribute to: | ||
- | |||
- | - Data of adequate quality | ||
- | - Customer experience, | ||
- | - Revenue and costs, | ||
- | - Morale, | ||
- | - Organisational effectiveness, | ||
- | - Organisational competitiveness, | ||
- | - Decrease risk levels of inadequate data quality. | ||
- | |||
- | === Life cycle === | ||
- | |||
- | | **Phase** | **Activity** | | ||
- | | Plan |* To measure awareness\\ | ||
- | | Do |* To execute awareness program (raise awareness)\\ * To repeat awareness program periodically | | ||
- | | Check |* To monitor awareness\\* To evaluate awareness program | | ||
- | | Act |* To adapt awareness program | | ||
- | |||
- | **Note 5** | ||
- | |||
- | Managing awareness of [[data_quality_general/ | ||
- | maintaining awareness, or increasing awareness): | ||
- | |||
- | - Activities related to __creating__ awareness for Data Quality if there is no awareness at all from the start. This situation would typically occur in a ‘green-field’ situation where no prior initiatives have taken place to assess the awareness of Data Quality among staff and leadership in an organisation. | ||
- | - Activities related to __maintaining__ awareness levels for Data Quality, if the awareness levels have (suddenly) dropped and do not align with an agreed ambition level for [[data_quality_general/ | ||
- | - Activities related to __increasing__ the awareness levels for [[data_quality_general/ | ||
- | |||
- | When mentioning ‘improving awareness’ or ‘raising awareness’, | ||
- | clearly stated, as well as for whom (leadership and/or staff), over which period of time and through | ||
- | what medium (i.e. trainings, interactive workshops, awareness campaigns, internal audits, | ||
- | coaching, etc). | ||
- | |||
- | **Note 6** | ||
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- | Improving or raising awareness through communications requires the communications to: | ||
- | * be of the right level, | ||
- | * be of the right format, and | ||
- | * occur at specific moments and not too frequently | ||
- | |||
- | This will allow the intended audience to internalise the awareness message and reduce the risk of | ||
- | ignoring the message. | ||
- | |||
- | === Managing Awareness of data quality through monitoring & evaluation === | ||
- | |||
- | * Plan for recurring in-person trainings, or instructor-led online trainings every 6 months to raise awareness of data quality. In these trainings, use gamification or serious gaming to initiate discussions between employees and leadership on data quality pain points for the business. These trainings could be facilitated by Learning & Development, | ||
- | * Capture learnings from these trainings in the form of documentation on “practices worth replicating”, | ||
- | * Develop just-in-time learning solutions by enabling learners to access information on data quality using a Knowledge Management system. Learners can search for information on data quality when they need this, from any device, and from any location. | ||
- | * Evaluate the effectiveness of learning interventions for the business through Kirkpatrick Foundational Principles and using the Kirkpatrick levels of training evaluation. Evaluations can be used to improve/ | ||
- | * Evaluate the effectiveness of learning interventions for the business by monitoring the data quality before and after every learning intervention, | ||
- | * Show the [[data_quality_general/ | ||
- | * Reactive improvement of [[data_quality_general/ | ||
- | * Consider data as an ‘asset’, | ||
- | * Consider developing, documenting, | ||
- | * Awareness of Data Quality is a ‘must’ for ethical Artificial Intelligence. Data for, and from machine learning models, should be evaluated along dimensions such as Fairness, Accountability, | ||
- | |||
- | === Characteristics === | ||
- | |||
- | | **Characteristic** | **Requirement** | | ||
- | | Effectiveness of awareness of data quality | Leadership and staff understand the consequences of inadequate data quality of the organisation. Their understanding meets the required proficiency level for awareness. Leadership and staff attained the required proficiency level, which results in data of adequate quality. | | ||
- | | Cost-effectiveness of awareness of data quality | Awareness of data quality leads to a positive business case, i.e., the benefits are higher than the costs. | | ||
- | |||
- | === Relations === | ||
- | |||
- | * Awareness of data quality is guided by [[data_quality_management_system/ | ||
- | * Awareness of data quality is improved by communication about data quality. | ||
- | * Awareness of data quality is improved by [[data_quality_management_system/ | ||
- | * Awareness of data quality is guided by [[data_quality_management_system: | ||
- | * Awareness of data quality evaluates **Staff competence**. | ||
- | * Awareness of data quality guides [[Data Quality Policy|data quality policy]]. | ||
- | * Awareness of data quality acknowledges [[data_quality_management_system/ | ||
- | * Awareness of data quality applies risk analysis. | ||
- | |||
- | {{: | ||
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- | Figure 1: Relationships of Awareness of Data Quality with other concepts. | ||
- | === Stories === | ||
- | |||
- | Below are three stories set in three different contexts, high-lighting the occurrence of awareness | ||
- | and its implications for meeting an overall objective. Text shown in **bold** indicates what the | ||
- | awareness means, and the purpose is shown in //italic//. | ||
- | |||
- | == Story 1: Being aware of signs related to a cardiac arrest and providing adequate first-aid == | ||
- | One day you decide to take a brisk walk in a park. Just before reaching home, you see a pedestrian | ||
- | collapsing at the corner of the street. You quickly rush towards the pedestrian to see if you can | ||
- | //help//. Having been trained in basic first-aid, **you are able to quickly recognise the key-signs of a | ||
- | cardiac arrest**. You immediately call for an ambulance and explain the situation to the operator. | ||
- | **Acknowledging, | ||
- | suddenly remember that an Automated External Defibrillator (AED) may be of help**: AEDs can | ||
- | assist users to help stabilise patients. You ask a bystander to locate an AED device. While attaching | ||
- | the AED device to the patient’s body, the ambulance responders arrive. Several days after this | ||
- | incident, **you decide to take an advanced course in first-aid**. | ||
- | |||
- | == Story 2: Using awareness campaigns to reduce ‘drink & drive traffic casualties’ == | ||
- | Consuming alcohol now and then may be considered a relaxing pastime. Driving a car can be | ||
- | comfortable, | ||
- | situations for all traffic participants, | ||
- | Governments can use communication campaigns specifically aimed at youngsters. These | ||
- | campaigns can **help youngsters to change their behaviour towards drinking and driving**, so that | ||
- | //the number of traffic casualties will reduce//. The awareness message may, for example, focus on | ||
- | how alcohol affects youngsters’ ability to safely control a vehicle. | ||
- | |||
- | == Story 3: Being aware of how the quality of data impacts the overall quality of a report == | ||
- | An organisation in the financial sector had been collecting data on separate storage repositories | ||
- | for several years, without regularly looking at the quality of the data. To simplify the annual | ||
- | reporting process, managers of various business-units suggested to first migrate all data to a | ||
- | central database and to improve any issues with data quality after the migration. One manager | ||
- | suggested the opposite: performing a data migration has risks and requires a careful planning and | ||
- | execution, so why not first understand //how the quality of the data impacts the final report//? | ||
- | Over the next few weeks, she prepared and organised several interactive workshops with leaders | ||
- | and representative staff of the business-units. **She could relate to how participants grappled with | ||
- | interpreting the data quality levels in their business-units**. She then compared these results with | ||
- | results for data-lineage and presented this to the entire team. **Now everyone became aware** of | ||
- | //how the quality of the data was impacting the overall quality of the reported data//. | ||
- | |||
- | === References === | ||
- | //ALARP (As Low as Reasonably Practicable)//, | ||
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- | DAMA (2017). DAMA-DMBOK. //Data Management Body of Knowledge// | ||
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- | DAMA Dictionary of Data Management. 2nd Edition 2011. Technics Publications, | ||
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- | DAMA-DMBOK Guide, 1st edition. | ||
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- | [[http:// | ||
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- | [[https:// | ||
- | University of Amsterdam. | ||
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- | ISO 9000: | ||
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- | ISO 9001: | ||
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- | [[https:// | ||
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