Monday, October 18, 2021

5 starting points for agile transformation

The COVID-19 pandemic forced companies to move quickly to shift to remote working, reimagine how they serve customers, build new business models, enhance technology capabilities, assemble multi-disciplinary teams and expand partnerships and alliances in ways they never thought possible. Now, companies need to figure out how to keep that momentum and maintain the speed and agility they gained in a world shaped by changing customer demands and ongoing economic uncertainty.

At the heart of the issue for many companies is an outdated operating model that is too big and too slow to respond to major market and competitive changes. According to Accenture research, 85% of C-level executives say they are not very confident that their operating model can meet shifting strategic priorities. Companies need operating models that propel new strategies aimed at boosting growth and innovation. Our research also shows that the long-term EBITDA growth for truly agile organizations is 16%, compared with 6% on average for non-agile organizations.

Last year, I discussed how to reimagine your organization as an intelligent enterprise by using technology in new ways, adopting agile ways of working and transforming value chains. While it’s clear the intent is there, and company leaders are working toward putting in place intelligent operating models, many still aren’t fully achieving the speed and agility they desire. In part, that’s because they’re getting caught up on several misperceptions of what it takes to undergo agile transformation—the biggest one being that they need a blank canvas.  Yes, it’s true that legacy systems and complexity can make agility harder to attain, but it doesn’t make it impossible. Here are five key starting points that companies can take to achieve agility even without a clean slate.  

Targeted experimentation

Controlled experimentation is a great path of choice for companies that have more traditional operations and can’t immediately establish the necessary buy-in for new ways of working and technology. Prove first; then scale. Looking at ways to “hack” the organization and use data to experiment with and continuously improve the organization.

Source link

MORE Articles

ఏపీలో మరో ఎన్నికల సమరం – ఎన్నికల సంఘం సన్నాహాలు..!!

12 మున్సిపాల్టీల్లో ఎన్నికల కోసం వీటిపై ప్రజలు, రాజకీయ పార్టీల ప్రతినిధుల నుంచి అభ్యంతరాలు స్వీకరించి 23న తుది నోటిఫికేషన్‌ ఇవ్వాలని స్పష్టం చేసింది. అందులో భాగంగా...

How the tech used to make giant, ultrahigh-precision mirrors and lenses for the James Webb Space Telescope was repurposed to develop displays for mobile...

Christopher Mims / Wall Street Journal: How the tech used to make giant, ultrahigh-precision mirrors and lenses for the James Webb Space Telescope...

OzTech: CBA gets machine learning to tackle abusive messaging; Smart city tally ranks 5 Australian cities; Australia and Finland to exchange supercomputer information

Commonwealth Bank gets machine learning to solve abusive messaging issuesEighteen months after finding a large number of abusive messages attached to customers’ transactions...

Dispute resolution platform Immediation raises $3.6M AUD to expand in the U.S. – TechCrunch

The pandemic forced the legal profession to cobble together remote work strategies, often through a combination of video conferencing and emails. Founded in...

Amazon India’s brand team steals designs and artificially boosts its visibility in search results

A hot potato: Companies worldwide spend uncountable hours and dollars to...

Stay Connected