Digital Transformation Priorities: UK IT Leaders Weigh In

Is your IT landscape prepared for the ever-changing demands of digital transformation? A panel of the top IT experts in the United Kingdom joined CAST at the Institute of Directors (IoD) in London on Tuesday to discuss this complex, but increasingly pertinent question. The digital transformation event was attended by many IT professionals within the financial services, telecommunications, retail, government, and IT services industries.

Scientific Resource Management

If you’re like most (don’t deny it), here’s how you do resource estimation for IT projects.
You figure out roughly how many bodies you need in which skill sets by glancing at the project description and duration. You let your experience of past projects guide you, and while you’re at it, you throw an eye of  newt into the cauldron that’s boiling out back.
But what if you could get data on application  size, technology distribution, the complexity of artifacts, the number of critical structural quality problems in these artifacts, and architectural visibility over the entire application (even as it’s evolving)?  This will let you staff much more optimally by taking into account not just the number of bodies needed for the job but the specific skills they need, and perhaps most importantly, the required  level of expertise in each skill.
Now imagine an automated system that can give you all of this information. Such a system will  increase resource efficiency in two ways:
1. It will increase resource allocation efficiency throughout the project

Optimal resourcing at the start when the project is being staffed
Resource flexibility during the course of the project: once the project is stable, you can move people in and out without productivity loss because knowledge is transferred faster
Resource substitution during the course of the project: with the additional information this automated system provides, you often don’t need an expert where previously you needed one. Since labor rates escalate rapidly the higher the expertise level (for example, 4 to 8 to 12 lakhs a month in India for the same skill at increasing expertise levels)

2. It will increase resource execution efficiency. The architectural visibility will help you:

Find problems faster, fix them faster, and fix them once and for all
Sequence activities in the right way to minimize rework and avoid bottlenecks

So the automated system described up front takes the guesswork out of resourcing. You can now staff scientifically rather than be swayed by stressful but corrosive factors like how difficult it is to work with your client and how good your project manager is.
The question is: do such automated systems exist? The answer is, yes, of course!