Tag Archives: cost-saving strategies

Software Modernization Strategies

Software Modernization

A Level-Up – Software Modernization

Every year, I get a replacement desk calendar to help keep all of our activities straight – and for a family of four, that is no easy task. I start with taking all of the little appointment cards the dentist, orthodontist, pediatrician and GP give to us for appointments that occur beyond the current calendar dates. I transcribe them all. Then I go through last year’s calendar to transfer any information that is relevant to this year’s calendar. And finally, I put the calendar down in the basement next to previous year calendars so I can refer back to them if I need. Last year’s calendar contains a lot of useful information, but no longer has the ability to solve my need to organize schedules for this year.

In a very loose way – this is very similar to application retirement. Many larger health plans have existing systems that were created several years (sometimes even several decades) ago. These legacy systems have been customized to reflect the health plan’s very specific business processes. They may be hosted on costly hardware, developed in antiquated software languages and rely on a few developers that are very close to retirement. The cost of supporting these (most likely) antiquated systems can be diverting valuable dollars away from innovation.

The process that I use to move appointment and contact data from one calendar to the next works for me – but is relatively small in scale. Imagine if I was trying to do this for an entire organization without losing context, detail or accuracy!

There are several methodologies for determining the best strategy for your organization to approach software modernization, including:

  • Architecture Driven Modernization (ADM) is the initiative to standardize views of the existing systems in order to enable common modernization activities like code analysis and comprehension, and software transformation.
  • SABA (Bennett et al., 1999) is a high-level framework for planning the evolution and migration of legacy systems, taking into account both organizational and technical issues.
  • SRRT (Economic Model to Software Rewriting and Replacement Times), Chan et al. (1996), Formal model for determining optimal software rewrite and replacement timings based on versatile metrics data.
  • And if all else fails:  Model Driven Engineering (MDE) is being investigated as an approach for reverse engineering and then forward engineering software code

My calendar migration process evolved over time, your method for software modernization should be well planned prior to the go-live date for the new software system.

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Posted in Application ILM, Application Retirement, Business Impact / Benefits, Data Archiving, Data Migration, data replication, Database Archiving, Healthcare, Operational Efficiency | Tagged , , | Leave a comment

Seven Ways To Reduce IT Costs With MDM

We often hear from our Informatica MDM customers about the main benefits they’ve realized from master data management (MDM)—smarter, faster decision-making and greater productivity though timely and reliable data. What’s less widely recognized is that MDM is proving to be a powerful cost-saving engine, as well.

For instance, a global investment bank saved millions of dollars by using Informatica MDM to virtually eliminate maintenance and support costs for a complex web of point-to-point integrations. If you’re using or considering MDM, it’s a smart idea to assess the costs of unintegrated data systems and examine cost-saving strategies and tactics available through a multidomain, model-driven MDM solution. (more…)

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Posted in Data Governance, Master Data Management | Tagged , , , , , , , | Leave a comment

Seven Ways To Reduce IT Costs With MDM

We often hear from our Informatica MDM customers about the main benefits they’ve realized from master data management (MDM)—smarter, faster decision-making and greater productivity though timely and reliable data. What’s less widely recognized is that MDM is proving to be a powerful cost-saving engine, as well.

For instance, a global investment bank saved millions of dollars by using Informatica MDM to virtually eliminate maintenance and support costs for a complex web of point-to-point integrations. If you’re using or considering MDM, it’s a smart idea to assess the costs of unintegrated data systems and examine cost-saving strategies and tactics available through a multidomain, model-driven MDM solution.

We’ve just published a new white paper, “Seven Ways to Reduce IT Costs with Master Data Management,” that drills down into using MDM to target the redundancy, waste, inefficiency, and unnecessary maintenance and licensing typical of a heterogeneous data infrastructure. A sampling of these seven critical areas includes:

  • Interface costs: How you can minimize costly point-to-point integrations that support key business processes
  • Redundant third-party data: How you reduce acquisition costs of duplicate data from third-party providers such as Dun & Bradstreet or Acxiom
  • Data cleanup: How you can efficiently centralize data quality to eliminate expensive manual efforts (more…)
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Posted in Business Impact / Benefits, CIO, Data Quality, Enterprise Data Management, Master Data Management, Operational Efficiency | Tagged , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , | Leave a comment