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Methodology


HIquality Implementation Methodology is a comprehensive methodology specifically designed for world-class initiatives. HIquality Implementation Methodology provides valuable guidelines and logical structure to planning and implementing a successful solution.


Best practice

HIquality Implementation Methodology is a best practice methodology that has been used by organizations around the world in combination with our Executive Strategic Workshop, and Business and Data Quality Assessment to formalize planning, development, and deployment of our HIquality solution. Combined with the Executive Strategic Workshop, and Business and Data Quality Assessment, HIquality Implementation Methodology can also greatly accelerate the release of your strategic data quality information initiatives.


As a red line you will find that our methodology, or vision, is to deliver Data Quality improvement initiatives with our customers and partners in a PREDICTABLE and RAPID manner resulting in referencable accounts.


To achieve this our consultants will walk our customers through a process during the implementation in order to:

  • Incorporate the view of the process owner, information producer and information consumers
  • Improve the data model and architecture
  • Create a user-friendly input
  • Assess the quality of the data to work with.
  • Measure the cost and impact of the data quality (put priorities, create quick wins)
  • Improve the data quality (cleanse, deduplication, correct'.....¦)
  • Analyze the processes
  • Improve the data quality, bringing solutions and processes in place to prevent pollution.
  • Establish a data quality environment

Our methodology is build up out of several components, which gives the customer flexibility to build together with HIquality Professional Services a Project approach that fits his or her organization.


From:


Basic accelerated implementation

  • This is a quick start where the customer will learn to work with system, build up knowledge and awareness around data quality. This will build the basic for further Data Quality Initiatives.
  • HI consultants will install HIquality solution and some limited tuning.

Up to:


A full Data Quality Life Cycle implementation

  • This includes optimization and simplification of processes
  • Establishing an overall data quality architecture and data model
  • Implementation, testing, rule tuning and deployment of the solution
  • On line integration (prevention of pollution)
  • Implementation of a data-cleansing engine.
  • Full project responsibility

Proven Benefits

The HIquality Implementation Methodology has helped hundreds of companies to optimize their Enterprise Data Integration implementations and Data Quality management by:


  • Shortening the time to realize ROI
  • Minimizing the risk of project failure
  • Providing a roadmap to simplify project management
  • Identifying critical resources




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