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Application Landscape Resurfacing

It is common across the industry that an organization's application ecosystem may grow bigger, up to many hundreds of systems, while staying poorly documented. It may grow to a point when it becomes extremely challenging to make accurate and timely decisions regarding the processes, products, services, or data due to extreme complexities and undocumented interdependencies.

Regardless of the type of an initiative the Business may be taking on, this inherited complexity complemented with the lack of knowledge, becomes a major obstacle. The challenges, meanwhile, keep growing exponentially with each new initiative.  The primary difficulty is the need for extensive information mining for each initiative. This information mining may involve numerous meetings with individuals who are already busy, searching through emails and any relevant content which was often produced in an unrelated context. This gradually becomes a large cost sink and a serious project risk, which requires expert resolution. Regardless of the type of initiative, the same remediation approach is required. We call it ‘Application Landscape Resurfacing’, and it can be applied before any large enterprise initiative would start:

  • Mergers, Acquisitions or Divestitures

  • Applications or Data Migration to a Cloud

  • Lean or Agile Enterprise Initiatives

  • Application/product portfolio consolidation or launching new lines of business

  • Putting data to work or building a Data-Centric Organization

  • Enterprise Technology Consolidation/Migration

Our Services

  • Enterprise Architecture and Business Solutions

  • Application Landscape Resurfacing

  • EA Analytics And Reporting

  • ​Business Opportunity Discovery and New Product Conceptualization

  • Post-Delivery Maintenance
    And Support​

  • Architecture Design Support

Application Landscape Resurfacing is a preparation phase.  The targeted ecosystem gets untangled and documented as a traversable and searchable enterprise model. Therefore, informed and tool-supported decision making becomes possible.  Once seeded, the model can be used as a baseline for any further work and start to add value.  We will also show the client how to take full advantage of the model for their unique organization needs.

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