Housing

Case Studies

Improving Data Quality in the Housing Sector

The Challenge

  • The business had concerns about data quality,
    specifically within the address dataset, resulting
    in significant manual reprocessing and inefficiency.
  • The cost of poor quality was unquantified and couldn’t
    be measured as there was no baseline.
  • Data standards and quality rules were not documented
    and hence un en-forced.
  • The client had no experience of the IDQ tool and needed
    guidance in how to deploy the tool most effectively.

The Solution

  • Installation of Informatica IDQ V 9.6, configured with
    Address Doctor for address data cleansing.
  • Proof of Value delivered in a matter of days, visualised
    using client’s own data showing IDQ capability.
  • Data profiling carried out on nominated datasets
    Guidance provided on development of DQ rules and
    data standards.
  • Data Quality scorecards developed in the analyst tool,
    (browser based search, point and click GUI), enabling
    drill down into DQ issues.

Highlights

  • Installation of Informatica IDQ for address data profiling.
    Data Quality scorecards developed for proof of value.
  • Coaching/mentoring were provided on a flexible ‘pay as
    you go model’ to upskill resources and enable data
    cleansing.
  • Technology - Informatica Data Quality (IDQ) v9.6.1, PowerCenter, v9.6.1
    (upgraded from v9.1). Oracle Apex and Qlik View GUI’s
    for reporting and analysis.