IT&T Performance Audit. Benchmarking & KPI Management Services
We provide assessment and validation of current technology landscape’s KPI’s alignment with business outcomes. We benchmark technology performance and productivity against leading cross industry metrics, define action plan on what and how people. process governance and technology initiatives, programs and projects can deliver higher productivity and reduce benefit leakage without additional technology or business risk.
We know, tech does not improve things automatically; it must be relevant and applied intelligently. Enemy of improvement is most end user organisations is due to comfort zone operating model that is averse to change, adopts path of least resistance, maintains status quo, and believes in learned helplessness bias that things cannot be done better. We help organisations adopt performance culture by making technology mainstream and aligning closely with business KPI’s.
We help customers to measure, audit, benchmark and manage tech KPI’s against business outcomes across all stages and functions of technology life cycle covering budget, risk, quality, performance, governance, processes, and practices with cross industry best in class data and provide unbiased tech performance audit, benchmark, and management report.
Our PoV: We believe an independent performance watchdog is a necessity to improve performance standards across the industry. Absolute numbers, benefit measurements don’t mean much unless they are benchmarked against best in class. As everyone takes the journey towards tech transformation in some form supported by Cloud, Digital, Automation, AI/ML. AR/VR/PR, Unified CX, Microservices, Intelligent Analytics, 5G, SDWAN, Edge Compute, Blockchain, Nano Technology, Quantum Computing, OT-IT convergence, COTs solutions…. it becomes imperative to understand relevant new performance KPI’s and its correlation to business performance, further what to measure and how to measure, their audit and benchmarking requires moving away from traditional input centric measurements and benchmarking to an output/outcome centric measurement and benchmarking.
For us, the outcome is not one-off point output it’s a journey of several performance outputs, we use business-technology combo lens for understanding the range of good and bad outcomes, blind spots and share new ideas to fix them. We often see when measure becomes the target, it ceases to be a good measure, and when proxies optimised the performance improvements get compromised. Counter intuitive relationship between efficiency measurements and outcomes occurs in technology domain including AI and ML. Therefore, we focus on performance data that is unbiased and measured properly with relevance like academics not coloured with a lens to retrofit else it will lead to mis information and misleading insights like statistics manipulated by biased filter and cherry picking.
For example, “When business wants a thing that’s important to business and need to be optimised, sometimes become immeasurable and at times unusable, because tech looks at things that are so near with close similarity to the original thing business wanted and what is relatively easy to measure that instead”. And we have often seen organisations where business goal is compromised more in large scale transformation investments.
We have also seen many organisations spend millions to billions of dollar budgets on technology every year and several multiples cumulatively as life cycle spend in hope and anticipation to improve technology performance and translate that into significant business benefit realisation e.g. increased market share, revenue & profitability growth, shorter time to create and market new offerings, improved quality of goods and services, efficient distribution, resilient operations, maximisation of asset utilisation, waste reduction, higher employee wellbeing, retention and employee productivity, increased customer retention and wallet share, higher level of ESG compliance…etc. Yet history has shown only a few are able to achieve this.
