Processes

What will AGI do for Create data quality assurance and control?

AI-deliverabilitydigital

With no child occupations seeded, the digital scalar is derived directly from the process name 'Create data quality assurance and control'. Assuring and controlling data quality is intrinsically an information-processing and analytical task. Although the process is anchored in physical manufacturing industries, the work itself is purely digital knowledge work.

A data governance initiative, system integration event, or scheduled data audit dictates the need for formalized data quality rules.

Trigger
A data governance initiative, system integration event, or scheduled data audit dictates the need for formalized data quality rules.
Outcome
Standardized validation controls, cleansing routines, and monitoring mechanisms actively enforce data quality across enterprise systems.

The work itself

Grounded Work Profile

Measured by

  • Data Accuracy RateprocessProfile
  • Data Completeness PercentageprocessProfile
  • Data Quality Defect RateprocessProfile
  • Data Remediation Cycle TimeprocessProfile

Key steps

  • Identify critical data elements and required quality standardsprocessProfile
  • Assess current data quality baselines and identify gapsprocessProfile
  • Design validation rules and automated data controlsprocessProfile
  • Implement data cleansing and standardization routinesprocessProfile
  • Establish exception handling and remediation workflowsprocessProfile
  • Deploy continuous data quality monitoring mechanismsprocessProfile

How AGI delivers it

Four ways AGI delivers for Create data quality assurance and control

  • Autonomous Agents as digital employees

    Hire a digital employee that does the job under earned, supervised autonomy.

    Agents.do
  • Services-as-Software

    Get the professional outcome delivered as software, priced on results, not headcount.

    Services.do
  • Business-as-Code

    Encode how your work runs, once, as software that executes itself.

    Platform.do