Services

What will AGI do for Customer data maintenance service?

A contracted service specializing in collecting, processing, filing, sorting, storing, retrieving, issuing, transmitting and updating database entries, in particular customer master and transactional data. The service may also include cleansing of data to eliminate duplications, enhance standardized terminology and improve overall data quality.

The work itself

Grounded Work Profile

Tools

  • Data Integration PlatformserviceBlueprint
  • Data Profiling SoftwareserviceBlueprint
  • Data Quality SoftwareserviceBlueprint
  • Master Data Management SoftwareserviceBlueprint
  • Address Verification SoftwareserviceBlueprint
  • Data Stewardship ConsoleserviceBlueprint
  • Customer Relationship Management SoftwareserviceBlueprint

Outputs

  • Cleansed Customer Master FileserviceBlueprint
  • Data Quality ScorecardserviceBlueprint
  • Merge Audit TrailserviceBlueprint

Measured by

  • Match Accuracy RateserviceBlueprint
  • Record Processing TurnaroundserviceBlueprint

Key steps

  • Ingest Customer RecordsserviceBlueprint
  • Profile Data QualityserviceBlueprint
  • Standardize And Normalize FieldsserviceBlueprint
  • Deduplicate And Merge RecordsserviceBlueprint
  • Validate And Enrich ContactsserviceBlueprint
  • Resolve Exception QueueserviceBlueprint
  • Publish Cleansed RecordsserviceBlueprint

How AGI delivers it

Four ways AGI delivers for Customer data maintenance service

  • 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

Value flow

How Customer data maintenance service connects

absorbs

  • Customer Data Governancemodel
  • Data Stewardshipmodel
  • Master Data Managementmodel

composes

measured by

  • Data Accuracy Ratemodel
  • Match Accuracy Ratemodel
  • Record Processing Timemodel
  • Record Processing Turnaroundmodel

optimizes

  • Data Completenessmodel
  • Duplicate Ratemodel
  • Field Completeness Ratemodel
  • Record Accuracy Ratemodel

produces

  • Cleansed Customer Datasetmodel
  • Cleansed Customer Master Filemodel
  • Data Quality Reportmodel
  • Data Quality Scorecardmodel
  • Duplicate Match Reportmodel
  • Merge Audit Trailmodel

realizes

  • Deduplicate And Merge Recordsmodel
  • Deduplicate and merge recordsmodel
  • Enrich with reference datamodel
  • Ingest Customer Recordsmodel
  • Ingest customer record batchmodel
  • Monitor ongoing data driftmodel
  • Profile Data Qualitymodel
  • Profile data quality issuesmodel
  • Publish Cleansed Recordsmodel
  • Resolve Exception Queuemodel
  • Return cleansed datasetmodel
  • Standardize And Normalize Fieldsmodel
  • Standardize and validate fieldsmodel
  • Validate And Enrich Contactsmodel