Data Quality Management 

Accurate and reliable data is critical for strategic decision-making across all business functions.

As an end-to-end data partner, Internetrix fuels your business with high-quality data and confidence by managing all aspects of your data quality and integrity.

Why low-quality data can cause problems.

Low-quality data can cause a range of issues for your business, not dealing with quickly can lead to: 

  • Unreliable information
  • Incomplete data
  • Ambiguous data interpretation
  • Data duplicates 
  • Outdated information
  • Late data entries/updates

How we guarantee high data quality and integrity. 

With a tried and true four-step process, Internetrix takes the guesswork out of managing your data. 

  1. Define data quality thresholds and rules: We work together to define your goals for data quality improvement and management. 
  2. Assess the quality of data: After the goals are defined, we audit and assess your data against the data quality attributes.
  3. Resolve data quality issues: Next step is getting to work. We measure, clean and standardise data whilst also futureproofing your data by setting validation rules.
  4. Monitor and control data: Data quality management is not a onetime project but a continuous process that is completed by regularly reviewing data quality policies and rules.

We manage the attributes that matter.

These are the seven attributes we evaluate when assessing and auditing your data. By using the following attributes our data engineers are able to paint a complete picture of how your data is currently managed. 

Attribute Meaning Metric
Consistency Are there contradictions within your data? The number of inconsistencies 
Accuracy Does your data correspond with reality? The ratio of data errors
Completeness Have all elements of the data made their way to the database? The number of missing values
Auditability Is the data accessible and is it possible to introduce changes? % of metadata about introduced changes is not accessible
Orderliness Does the data that has been entered have the required format and structure? The ratio of data of an inappropriate format 
Uniqueness Does the data appear more than once within the database?  The number of duplicates
Timeliness Does the data represent a reality within a reasonable period of time? Number of records with delayed changes

Why Internetrix?

As an end-to-end data partner, Internetrix seeks to drive real business outcomes through confidence and accurate data-driven decision making.

It is our mission to integrate data and technology into the world and fundamentally improve how people do business.

Meet the team