Multiple Data Management Disciplines

Goal:

Build Target State solutions; Retire legacy applications.

Problem:

Determine legacy system challenges and deficiencies, propose solutions, reengineering and implementation of new applications.

Solution

  • Analyze current state challenges in data model, process management, consumer management, timing and dependencies.

  • Propose alternate solutions with pros and cons to senior management.

  • Product development and management.

  • Guidance to Stakeholders, Governance, Data Modeling, Data Quality and Process improvement.

  • Manage business requirements, user acceptance testing and production support.

  • Support technology partners, consumer engagement and product delivery thus enabling retirement of legacy systems

Kati McKeondata quality, data strategy, data architecture, legacy applications