Continual Modernization Programs Are Key to IT Success
January 14, 2021
Share this

Modernization projects using an incremental and continuous improvement model achieve superior results when compared to other project-based approaches including the ripping and replacing of core business applications, according to the CHAOS2020 Report from Micro Focus and Standish Group.


The report indicates that this infinite flow method to modernizing core business applications has a number of benefits in regards to return of value, customer satisfaction, sustainable innovation and longer application lifespans.

"As we see in our latest research with Standish Group, a continuous and multi-phased modernization methodology delivers incremental value and reduces risk when compared to the alternatives of rewriting or replacing," said Neil Fowler, GM of Application Modernization and Connectivity at Micro Focus. "With application modernization typically being an important first step in an enterprise's larger digital transformation journey, an incremental flow-based model provides a methodology capable of matching the flexibility of today's business climate while ensuring continuous transformative activity."

Multi-decade Standish Group research of over 50,000 participants shows that an infinite flow model ensures ongoing modernization activity, while narrowing the gap between project management and delivery teams. This research is consistent with Micro Focus' own findings where 92 percent of core applications are strategic and 70 percent see modernization as their preferred option.

Key findings of the Endless Modernization research include:

Modernization Projects Yield Significantly Higher Success Rates

Companies replacing a software application and starting from scratch had a 26 percent success and 20 percent failure ratio as opposed to a 71 percent success and 1 percent failure ratio for teams choosing to modernize an existing application rather than fully replacing it.

Rip and Replace Projects Struggle

Only 27 percent of companies choosing a rip and replace strategy saw a high return, with 41 percent reporting a low or very low return on their investment. In comparison, a flow-based modernization methodology returned twice the value on average than other types of software development approaches.

Modernization is a Preferred Path over Ripping and Replacing

45 percent of enterprises ripping and replacing their application software were ultimately disappointed or not satisfied by their results as opposed to 55 percent of organizations choosing modernization responding as satisfied.

Incremental Flow-Based Modernization Approaches Have Numerous Benefits

Rather than running one large modernization project, research shows that enterprises incorporating a series of smaller, microservices or microprojects achieved much better outcomes.

"The demand is for more value, higher customer satisfaction, and lower costs," said Jim Johnson, founder, The Standish Group. "It is our opinion — based on our extensive research and observation of role models — that the move to infinite flow satisfies all three of these demands."

Share this

The Latest

September 23, 2021

The Internet played a greater role than ever in supporting enterprise productivity over the past year-plus, as newly remote workers logged onto the job via residential links that, it turns out, left much to be desired in terms of enabling work ...

September 22, 2021

The world's appetite for cloud services has increased but now, more than 18 months since the beginning of the pandemic, organizations are assessing their cloud spend and trying to better understand the IT investments that were made under pressure. This is a huge challenge in and of itself, with the added complexity of embracing hybrid work ...

September 21, 2021

After a year of unprecedented challenges and change, tech pros responding to this year’s survey, IT Pro Day 2021 survey: Bring IT On from SolarWinds, report a positive perception of their roles and say they look forward to what lies ahead ...

September 20, 2021

One of the key performance indicators for IT Ops is MTTR (Mean-Time-To-Resolution). MTTR essentially measures the length of your incident management lifecycle: from detection; through assignment, triage and investigation; to remediation and resolution. IT Ops teams strive to shorten their incident management lifecycle and lower their MTTR, to meet their SLAs and maintain healthy infrastructures and services. But that's often easier said than done, with incident triage being a key factor in that challenge ...

September 16, 2021

Achieve more with less. How many of you feel that pressure — or, even worse, hear those words — trickle down from leadership? The reality is that overworked and under-resourced IT departments will only lead to chronic errors, missed deadlines and service assurance failures. After all, we're only human. So what are overburdened IT departments to do? Reduce the human factor. In a word: automate ...

September 15, 2021

On average, data innovators release twice as many products and increase employee productivity at double the rate of organizations with less mature data strategies, according to the State of Data Innovation report from Splunk ...

September 14, 2021

While 90% of respondents believe observability is important and strategic to their business — and 94% believe it to be strategic to their role — just 26% noted mature observability practices within their business, according to the 2021 Observability Forecast ...

September 13, 2021

Let's explore a few of the most prominent app success indicators and how app engineers can shift their development strategy to better meet the needs of today's app users ...

September 09, 2021

Business enterprises aiming at digital transformation or IT companies developing new software applications face challenges in developing eye-catching, robust, fast-loading, mobile-friendly, content-rich, and user-friendly software. However, with increased pressure to reduce costs and save time, business enterprises often give a short shrift to performance testing services ...

September 08, 2021

DevOps, SRE and other operations teams use observability solutions with AIOps to ingest and normalize data to get visibility into tech stacks from a centralized system, reduce noise and understand the data's context for quicker mean time to recovery (MTTR). With AI using these processes to produce actionable insights, teams are free to spend more time innovating and providing superior service assurance. Let's explore AI's role in ingestion and normalization, and then dive into correlation and deduplication too ...