The value of predictive analysis in modern decision-making

Business agility will enable an organisation to quickly respond to change and adapt, but it still has a lagging element to it. If a true competitive advantage is to be gained, organisations need to be both reactive and pro-active.

Through predictive analysis, risks and opportunities are identified, supporting modern business decision-making. We, Lean Vertical, provide predictive analysis for the modern IT organisation. By leveraging readily available data, we visualize a team’s performance and are able to more accurately identify future risks and make planning more accurate and results predictable.

It’s one thing knowing what the performance was and is of a team, it’s another to know what it will be in the future.

Performance predictions will aid in resource planning and allocation. Indicating how a team’s performance is impacting a project and where additional effort is required or available.

Being able to predict performance can give a better indication if a project is feasible with a past team’s performance. And for running projects can free up resources on teams or projects that are moving towards an on-time delivery, and propel them to a team that’s lagging behind and could use the additional help.

Predictive quality

Through predictive quality analysis it’s possible to indicate the areas that expose the greatest risk of failure so resources can be directed before the risk becomes a reality. Combine this with predictive performance and it will be possible to understand how these quality risks will impact a team’s performance of project delivery.

Predictive TCO

Quality and performance will impact the total cost of ownership, predictive cost analysis helps improve better cost estimations of a team, project or product. Aiming to reduce operation costs by effectively allocating available skills and resources.

Want to know more on how we can help you leverage your data for predictive analysis so you know how the future performance and quality will be of your software teams / projects / products and at what cost?