AGI.do

Processes

What will AGI do for Prepare data?

AI-deliverabilitydigital

With no child occupations seeded, the score is derived from the process name and lens. Although the parent PCF category ('Manage environmental health and safety (EHS)') suggests a hybrid real-world context, the specific process ('Prepare data') and its description ('Creation and validation of data in order to initiate the process of analysis') indicate pure information transformation. Because the value-producing work is data manipulation, it is highly digital.

An analytical model, report, or business intelligence dashboard requests specific data inputs for processing.

Trigger
An analytical model, report, or business intelligence dashboard requests specific data inputs for processing.
Outcome
A validated, standardized dataset is loaded into the target environment for analysis.

The work itself

Grounded Work Profile

Measured by

  • Data Quality ScoreprocessProfile
  • Preparation Cycle TimeprocessProfile
  • First-Pass YieldprocessProfile
  • Data Defect RateprocessProfile

Key steps

  • Identify target data sources and requirementsprocessProfile
  • Extract raw data from source systemsprocessProfile
  • Cleanse data of duplicates and formatting errorsprocessProfile
  • Transform values into standardized data modelsprocessProfile
  • Validate dataset against quality thresholdsprocessProfile
  • Load prepared data into analytical environmentsprocessProfile

How AGI delivers it

Four ways AGI delivers for Prepare data

  • Services-as-Software

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

    Services.do

  • Autonomous Agents as digital employees

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

    Agents.do

  • Business-as-Code

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

    Platform.do

Value flow

How Prepare data connects

automated by

Go deeper

Explore Prepare data

Read the deeper take on agi.asView as markdown