Top 5 Reasons to Use Code Analysis Tools with Automation to Establish Vendor Management Metrics

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As IT organizations face increasing demands from business, their IT systems have become increasingly complex. Today’s applications are typically a heterogeneous web of systems and software from an array of vendors and custom development.

Managing those vendors and dealing with those complexities has not escaped business and IT leaders. Nearly 50% of global business continuity decision-makers and influencers have called “increased reliance on technology” the number one risk to their organizations. Another 37% said the “business complexity of the organization” is their top risk. Much of this risk can be attributed to vendor management.

So, how can IT leaders address the dual challenges of managing the complexity of their IT environment, while also optimizing IT budgets and reducing IT borne risks to the business?

One way is to use code analysis tool with automation to analyze application source code and set vendor management metrics. There are big advantages to taking this approach, including:

  • Lower total cost of ownership
  • Higher availability of applications
  • Reduced downtime, planned or unplanned
  • Reduced workload on an IT organization
  • Improved application reliability, security and performance
  • Ability to proactively monitor and positively impact the customer experience

These advantages would enable IT departments to focus on innovation rather than maintenance. But are code analysis tools with automation the answer? Here are the top five reasons to consider code analysis tools:

  1.        Optimize and Increase Service Levels: Because today’s sourcing and development environments are so complex (multi-sourcing, collocation, near shore, off shore, et al), it is difficult to be sure of the root cause of lapses in service levels. This can result in dissatisfied clients and loss of productivity. In some cases, the problems are severe enough to put the organization at risk of failing to meet its own service-level agreements (SLA), creating potential business risks. With automated monitoring of ADM deliveries, the organization is able to stay on top of SLAs and is aware when there may be vulnerabilities.
  2. Move from Reactive to Proactive Risk Identification: Automated code analysis and measurement monitors the state of critical systems as well as the updates to those systems at all times. Early warning systems detect vulnerabilities prior to releasing patches, updates or new enhancements to production environments.
  3. Good Software Is Good Business: Great applications enable great companies. It is through a company’s IT system that it generates revenue and interacts with customers. When systems go down or performance slows, the business is put at risk for lost revenues, lost customers and brand image. Automated analysis and measurement tracks the reliability, stability, security and performance of applications at all times and issues alerts when key health factors exceed a threshold, allowing for remediation of issues before they impact the business and end user.
  4. Improve Efficiency: Automated code analysis tools deliver significant improvements, including the ability to measure internal and external vendor performance against SLAs.
  5. Promote Transparency: Independent, objective assessment and measurement creates transparency.  Transparency promotes accountability and provides an opportunity for clients to be better informed about what is going on. A better informed client helps create a better dialogue and results in better decision making. Transparency is also more efficient. Having an established process for creating and distributing information means less time spent performing retrospective analysis during times of crisis.

As all businesses continue to move into an era defined by the need for greater agility, the more an organization knows about its applications and systems — and the more quickly they can address problems — the more they can deliver competitive services and products to customers. Working with a third-party vendor for code analysis gives organizations better opportunities for high availability and high performance of applications and reduced downtime, all while making life much easier for IT staff.

As all businesses continue to move into an era defined by the need for greater agility, the more an organization knows about its applications and systems — and the more quickly they can address problems — the more they can deliver competitive services and products to customers. Working with a third-party vendor for advanced monitoring and resolution gives organizations better opportunities for high availability and high performance of applications and reduced downtime, all while making life much easier for IT staff.

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Jonathan Bloom Writer, Blogger & PR Consultant
Jonathan is an experienced writer with over 20 years writing about the Technology industry. Jon has written more than 750 journal and magazine articles, blogs and other materials that have been published throughout the U.S. and Canada. He has expertise in a wide range of subjects within the IT industry including software development, enterprise software, mobile, database, security, BI, SaaS/Cloud, Health Care IT and Sustainable Technology. In his free time, Jon enjoys attending sporting events, cooking, studying American history and listening to Bruce Springsteen music.
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