What are Data Quality metrics? Identifying the optimal Data Quality metrics can be challenging, especially when everyday tasks consume your time. To help you, we've assembled a list of examples to ignite your creativity.
Copy these examples into your preferred app, or you can also use Tability to keep yourself accountable.
Find Data Quality metrics with AI While we have some examples available, it's likely that you'll have specific scenarios that aren't covered here. You can use our free AI metrics generator below to generate your own strategies.
Examples of Data Quality metrics and KPIs 1. Total Data Volume The total amount of data stored in a database or system, measured in gigabytes or terabytes
What good looks like for this metric: Evaluated monthly; varies by industry
Ideas to improve this metric Regularly audit stored data Use data compression techniques Implement data archiving policies Evaluate data storage solutions Automate data clean-up processes 2. Growth Rate of Data Volume The percentage increase in data over a specific period, typically month-over-month
What good looks like for this metric: Generally should not exceed 5% monthly
Ideas to improve this metric Review data input processes Set growth targets Analyse growth trends Identify unnecessary data accumulation Implement stricter data entry policies 3. Percentage of Duplicate Records The proportion of records that appear more than once in a database
What good looks like for this metric: Aim for less than 1% duplication
Ideas to improve this metric Use data deduplication tools Standardise data entry fields Conduct regular data audits Train staff on data entry Implement unique identifiers 4. Data Accuracy Rate The percentage of data that is correct and free from error
What good looks like for this metric: Should be above 95%
Ideas to improve this metric Conduct regular data quality checks Provide data entry training Utilise automated validation tools Standardise data formats Implement error logging 5. Record Completeness Rate The percentage of records that have all required fields filled out
What good looks like for this metric: Should remain above 90%
Ideas to improve this metric Ensure all required fields are filled Review and update data entry templates Implement data input checks Improve user data input interfaces Incentivise complete data entry
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1. Data quality score Represents the accuracy, completeness, and reliability of data. Calculated by evaluating data against predefined quality criteria.
What good looks like for this metric: 95% or higher
Ideas to improve this metric Implement data validation rules Conduct regular data quality audits Utilise data cleansing tools Ensure consistent data entry procedures Provide regular training for data handlers 2. Compliance rate Measures the percentage of data processes in compliance with relevant regulations and policies.
What good looks like for this metric: 98% or higher
Ideas to improve this metric Establish clear data governance policies Regularly review and update compliance guidelines Implement automated compliance monitoring tools Conduct periodic compliance training Schedule regular internal audits 3. Data breach incidents Tracks the number of data breaches or security incidents within a specified period.
What good looks like for this metric: Zero breaches
Ideas to improve this metric Strengthen data security protocols Conduct regular vulnerability assessments Use encryption for sensitive data Implement multi-factor authentication Train employees on security best practices 4. Data access control Measures the effectiveness of access controls by tracking unauthorised access attempts.
What good looks like for this metric: Less than 2% unauthorised attempts
Ideas to improve this metric Regularly review and update access control policies Implement role-based access control Monitor and log access attempts Conduct regular access audits Use secure authentication methods 5. Data retention adherence Assesses how closely data retention practices align with data governance policies.
What good looks like for this metric: 100% adherence
Ideas to improve this metric Develop and communicate clear data retention policies Implement automated data retention tools Regularly review data retention schedules Conduct training on data retention practices Monitor and enforce compliance with retention policies
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1. Data Accuracy This measures how often the data in the dataset is correct and reliable
What good looks like for this metric: Typically around 95% accuracy
Ideas to improve this metric Implement data validation checks Conduct regular audits Train staff on data entry standards Automate error reporting Create a feedback loop for corrections 2. Data Completeness This assesses the extent to which all required data is available within the dataset
What good looks like for this metric: Ideal benchmark is 100% completeness
Ideas to improve this metric Identify required data fields and ensure they are collected Use mandatory fields in data entry forms Conduct gap analysis regularly Educate data providers on requirements Implement systems for data capture automation 3. Data Consistency Measures how uniformly the same data is recorded across the dataset
What good looks like for this metric: Aim for 100% consistency
Ideas to improve this metric Standardise data entry procedures Use consistent formats (e.g., date format) Analyse and resolve discrepancies Provide training on consistency importance Establish a single source of truth 4. Data Timeliness Assesses whether the data is up-to-date and available when needed
What good looks like for this metric: Data should be updated daily or in real-time
Ideas to improve this metric Define clear timelines for data updates Use automated data upload mechanisms Ensure prompt data entry by staff Monitor data update times Provide alerts for stale data 5. Data Accessibility Evaluates the ease with which data can be accessed and utilised by authorized personnel
What good looks like for this metric: 95% of users should be able to access needed data without issue
Ideas to improve this metric Implement role-based access control Ensure systems are user-friendly Provide training on data retrieval methods Use data catalogues for easy search Regularly test access protocols
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1. Daily Call Logs The number of calls made or received in a day logged for performance assessment
What good looks like for this metric: 100 calls per day
Ideas to improve this metric Set daily or hourly call targets Use scheduling tools to manage call times Incorporate script templates to shorten call times Develop listening skills to enhance understanding Regularly review call outcomes for feedback 2. LinkedIn Reach Outs The number of professional connections and messages sent over LinkedIn to potential clients or partners
What good looks like for this metric: 20 reach outs per day
Ideas to improve this metric Create personalised messages for each connection Leverage mutual connections for introductions Join relevant LinkedIn groups for expanded reach Post relevant content regularly to increase visibility Set aside dedicated time each day for LinkedIn activities 3. Cost Effectiveness The ratio of incentives offered to overall recruit expenses to ensure cost efficiency
What good looks like for this metric: Incentives below 30% of overall costs
Ideas to improve this metric Review and adjust incentive plans regularly Seek alternatives like recognition programs instead of financial incentives Analyse cost-benefit of current incentive structures Negotiate better terms with vendors or service providers Implement performance-based incentives 4. Task Completion The percentage of tasks completed on time, indicating productivity
What good looks like for this metric: 95% task completion rate
Ideas to improve this metric Prioritise tasks using a ranking system Break larger tasks into smaller, manageable steps Utilise project management tools to track progress Set tight deadlines and adhere to them Delegate tasks where possible to ensure efficiency 5. Onboarded Recruits The number of new hires successfully onboarded within a specified time frame
What good looks like for this metric: 5 new recruits onboarded per month
Ideas to improve this metric Streamline onboarding documentation processes Provide detailed training sessions for recruits Ensure all team members are prepared to support new hires Offer feedback sessions to address recruit difficulties Regularly update onboarding procedures
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1. Defect Rate The percentage of products or services that have defects relative to the total produced, often calculated by dividing the number of defective units by the total number of units produced.
What good looks like for this metric: Typically less than 1%
Ideas to improve this metric Implement stricter quality control processes Enhance staff training initiatives Conduct regular audits and inspections Utilise root cause analysis tools Increase customer feedback collection 2. First Pass Yield (FPY) The percentage of products manufactured correctly and to specification the first time through the process without using rework.
What good looks like for this metric: 85%-95%
Ideas to improve this metric Improve process documentation Increase equipment maintenance frequency Optimise employee onboarding and training Reduce process variability Incorporate automated quality checks 3. Customer Complaint Rate The number of customer complaints received over a specific period divided by the number of transactions within that period.
What good looks like for this metric: Less than 5 per 1,000 transactions
Ideas to improve this metric Improve after-sales support Analyse customer feedback for trends Maintain open communication channels Enhance product/service quality Regularly revise protocols based on feedback 4. Audit Compliance Rate The percentage of audits that pass compliance checks relative to the total number of audits conducted.
What good looks like for this metric: Above 95%
Ideas to improve this metric Regularly update compliance training for staff Automate compliance tracking Engage third-party compliance experts Conduct more frequent internal audits Develop corrective action plans for identified issues 5. Corrective Action Effectiveness Measures the success of implemented corrective actions, determined by the reduction in defects and issues post implementation.
What good looks like for this metric: Reduction in issues by at least 75%
Ideas to improve this metric Utilise a robust change management process Track and measure results of actions Ensure clear communication of changes to all stakeholders Perform regular follow-up checks Encourage continuous improvement culture
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1. MSME Onboarding Rate Number of new MSMEs registered per month in each state
What good looks like for this metric: 500 MSMEs per state per month
Ideas to improve this metric Implement targeted marketing campaigns Streamline registration process Offer onboarding incentives Enhance user experience on registration platform Facilitate partnerships with local business organisations 2. Adoption Funnel Conversion Percentage progression from onboarding to loan submission
What good looks like for this metric: 70% profile completion rate
Ideas to improve this metric Identify and address common drop-off points Simplify application process Provide users with progress guidance Enhance support and FAQs Use data analytics to personalise follow-ups 3. Active Users Percentage of onboarded MSMEs submitting applications or accessing services monthly
What good looks like for this metric: Industry-specific % benchmarks
Ideas to improve this metric Engage users with newsletters or updates Implement feedback loops with users Offer exclusive services or discounts Provide educational resources to users Monitor and adapt to usage trends 4. Drop-off Points Percentage abandonment at each stage of the adoption funnel
What good looks like for this metric: Industry-specific % reduction
Ideas to improve this metric Regularly review and improve each funnel stage Collect and analyse feedback from users Implement optional steps to ease process Ensure technical stability of platforms Provide real-time assistance 5. Aggregated Funnel Metrics National averages for onboarding, conversions, and active users
What good looks like for this metric: 60% overall conversion rate
Ideas to improve this metric Collate and compare state-level data Identify successful strategies in high-performing states Coordinate national campaigns Collaborate with multiple stakeholders to improve outreach Optimise platforms for better national reach
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Tracking your Data Quality metrics Having a plan is one thing, sticking to it is another.
Don't fall into the set-and-forget trap. It is important to adopt a weekly check-in process to keep your strategy agile – otherwise this is nothing more than a reporting exercise.
A tool like Tability can also help you by combining AI and goal-setting to keep you on track.
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Planning resources OKRs are a great way to translate strategies into measurable goals. Here are a list of resources to help you adopt the OKR framework:
Tability's check-ins will save you hours and increase transparency
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