# A Robust Statistical Methodology for Measuring Enterprise Agility
## 3 Methodology
### Measuring Enterprise Agility
Analysis conclusions: Based on the results of the previous steps, we conclude whether the improvement obtained in AgilityDebt(tm) has substantial significance from a practical point of view for our organization [34]. In Figure 2, we can observe the presented methodology and its interaction with the information systems of the company in which the case study is applied in the following chapter. Figure 1: AgilityDebt(tm) dashboard by country. This panel is generated from the database that contains the operational records of TCS. It provides a double aggregated view, both by country and by evaluated factor, arriving at the overall data for TCS Latam. Figure 2: Data analysis method. A suitable data analysis method uses sampling to perform an initial exploratory analysis before conducting hypothesis testing and advanced analysis. This rigorous approach ensures accurate and reliable conclusions. The analysis of data provides scientific tools to systematically and efficiently evaluate the study samples [41]. We use the Python ecosystem tools to perform statistical analysis. Case Study on the Application of AgilityDebft(tm) and Statistical Methodology: The Latin American Challenge  
Getting started in IT: At TCS Latam, where we currently have over 27,000 employees and more than 800 IT and CBO projects, we set ourselves the challenge over three years ago of continuously improving [11] our enterprise agility with the AgilityDebft(tm) instrument, with the mission of collectively making an impact this asset within the organization [42], in order to achieve the following:  
* Promote agility with leaders and sponsors;
* Energize the agile cultural change;
* Improve our delivery;
* Positively impact the growth of our clients. In 2020, we started measuring AgilityDebft(tm). First, we did it for the IT world, where we successfully managed to reduce debt from 0.58 for the second quarter of the fiscal year 2021 (Q2-FY21) to 0.29 for the fourth quarter of the fiscal year 2021 (Q4-FY21). Figure 3 shows a graph where this reduction can be observed. As a result of the positive experience in the IT world, in 2021 we took on the challenge of scaling continuous improvement horizontally, now bringing good agility improvement practices to the world of CBO services. Escalating to CBO: In this document, we want to explain in detail the challenge of improving enterprise agility in CBO, including the methodology and results obtained. For CBO, we apply a process similar to the IT case, which involves weekly monitoring of the metric in all TCS Latam countries. After having enough data points, we conduct an initial analysis to calculate the mean and dispersion at the regional level, that is, considering all Latin American countries where TCS operates with CBO services. This analysis yields a baseline for the second quarter of the fiscal year 2022 (Q2-FY22) of 0.51 on average and 0.19 in terms of dispersion (standard deviation), as shown in Figure 4 and Table 1. As previously explained, the scale of this index ranges from 0 to 1, where 0 represents low debt and high agility, and 1 represents high debt and low agility. In this sense, having a score of 0.51 represents a medium or regular agility, and as our Agile Enterprise Vision inspires us to the Zero-For-Tomorrow (0-4-2), which means achieving zero agile debt  
Figure 3: Boxplot AgilityDebft(tm) IT: Q2-FY21, Q4-FY21. A box-plot chart with two datasets is useful for comparing the distribution of two numerical sets and can provide valuable information about the median, interquartile range, and outliers of the data (represented as asterisk in the plot). and consequently enabling high enterprise agility, we decide to create an improvement team [11; 25] with the aim of significantly reducing CBO AgilityDebt(tm) in the organization. Agile transformation journey at CBO: Setting the next milestone at a 30% reduction within six months, the initiation of the improvement process was fundamentally influenced by the individuals involved.