The value of Big Data has found its way to the core of many organizations.NewVantage Partners’ 2021 executive survey showed that 99.0% of the companies they surveyed are investing in data initiatives while 96.0% attest that Big Data and AI efforts were generating results.
However, working with Big Data is not easy for all companies. The survey revealed that 92.2% of leading companies consider culture (people, process, organization, and change management) as the top reason why becoming a data-driven organization remains challenging.
Organizations should recognize that integrating Big Data into performance management would allow them to further improve their performance , make strategic decisions, and achieve higher efficiency in many areas of business.
How does that happen? First, it is important to know what Big Data is and what it is not.
Big Data is not about having a higher volume of data. IBM defines Big Data as “a way of harvesting raw data from multiple, disparate data sources, storing the data for use by analytics programs, and using the raw data to derive value (meaning) from the data in a whole new way.”
Mayer-Schönberger and Cukier, authors of “Big Data: A Revolution That Will Transform How We Live, Work, and Think,” wrote that Big Data can generate new insights and develop new forms of value in a manner that changes how people live.
The reason is that Big Data can reveal trends and patterns. In an ever-changing business landscape, organizations working with Big Data would allow them to make decisions based on facts. This echoes what Geoffrey Moore, a famous American organizational theorist & author of “Crossing the Chasm,” was quoted saying: “Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.”
Big Data’s Role in Performance Management and Measurement
The value of Big Data lies in improving the performance and processes of an organization.
For instance, Big Data can provide insights into customer preferences. Understanding customer preferences and using them as a basis for strategies can lead to increased sales. With better forecasting, Big Data can guide companies in determining where they need to invest. A manufacturing company would be able to accurately identify the equipment that needs replacing. Moreover, the automation of high-level business processes can make organizations more effective and efficient.
In the conference paper, “Is Big Data the Next Big Thing in Performance Measurement Systems?” the authors concluded that the presence of a variety of data could expand the horizons of PMSs due to the application of different kinds of metrics. The applications of Big Data in PMS are in planning, controlling, and improving business performance as well as in strategic planning, controlling operations, and processes improvement.
The authors found the reasons for using Big Data and PMSs similar, and they revolve around decision-making and action-taking. “PMS supports decision-making [by] providing meaningful and appropriate data [developed] through a series of activities, such as analyzing and interpreting data from past actions to influence the future performance.”
Big Data in Action
The success ofNetflix, a streaming service company, is attributed to their usage of Big Data. For content development, their objective is to determine what their audience would want to watch next. To analyze the behavior and preferences of their over 140 million subscribers, Netflix used metrics, such as “What day you watch content,” “Searches on the platform,” “User location data,” “When you leave content,” “The ratings given by the users,” and even “Browsing and scrolling behavior.”
Netflix also uses Big Data in addressing challenges in production planning, such as determining shoot locations and arranging a shoot schedule. With prediction models, Netflix can minimize their efforts and reduce their expenses.
Xerox, the world’s largest provider of digital document solutions, once faced a problem with its workforce and needed to cut employee training costs and lower the premature attrition of its employee pool. With the help of Big Data, the company executed a predictive recruiting program in order to assess and filter applicants. Big Data and Big Data analytics helped them recruit people who have more technical skills and are more likely to stay longer with them. This means lower cost of training. The reduced attrition successfully helped the enhancement of Xerox’s bottom line.
Big data is a new source of competitive edge for any organization as it permits them to provide faster and more intelligent decisions, makes information more transparent, generates unprecedented insights into market situations and customer behavior, and optimizes business performance.
If you would like to discover new knowledge and the practical application of best practices used in analyzing statistical data, sign up for The KPI Institute’s Data Analysis Certification.
Organizational processes should be designed in such a way that they effectively enable the strategic implementation of corporate objectives. Successful execution of strategy demands well execution of processes from all perspectives.
Processes that are properly understood and deeply rooted in the organizational realities will produce results that are reliable, easily controlled, and effectively managed. The documentation of processes allows for meticulous work to be conducted in relation to a company’s effort of architecting process frameworks and solutions.
Moreover, process documentation is intended to accurately describe the landscape of a process, the activities included within that landscape, the standardized workflow associated with a particular process, and its current state by comparison with a desired one. Process templates generally reflect on the degree of process documentation within an organization.
“Process templates are created to describe some aspect of a process, a process landscape, process flow, process solution or state. […] Process templates enable the capture and relation of process-centric objects within the same template or across multiple templates, each of which promotes its own view of a process.” (Von Rosing, Von Scheel, & Scheer, 2014, pp. 175-180)
With decomposing processes into KPIs, proper documentation that involves process description and the internal procedures should be in place. Meanwhile, process management tools such as process maps are consulted for a better perspective on the process itself.
The basic process management tools and templates that can be used for an effective process design are the following:
1. Process description: The process description is a template that supports the organization in understanding the functionality of each process in turn. It is vital that the process description concentrates on the purpose of the process as a constituent part of operational activity rather than the steps in the process.
The purpose of the process becomes a focal point around which processes are defined. This is especially important due to the fact that processes around which the company is currently organized may not be the most suitable for strategy. It is not excluded that the process description includes more than one purpose for a process in place.
Purposes can be main or secondary. The main purpose refers to the strategic purpose that the process serves for the organization. Secondary purposes are the ones that are directly tied to the main purpose of the process; however, they have a more functional or operational focus that generally derives from the process steps or activities.
Such a way of working with the process description not only helps to validate the linkage to organizational objectives but also leads to a more accurate distribution of KPIs. This will be measured by levels of organizational performance.
2. Process map:The process map is a process management tool “that shows input-output relationships among process dependent operations and departments and that documents in a step-by-step process sequence the activities that are required to convert inputs to outputs for the specific process.” (Hunt, 1996, pp. 8-10)
A process map provides an illustration of organizational processes as well as the interactions between the main process steps. A process map is especially important as it helps identify the main inputs stepping into the process and the main outputs stepping out of the process, while reflecting on the “as is” or” current state” of the process itself.
One of the most important roles of the process map is it helps identify bottlenecks in the process or waste that needs to be eliminated in order for the company to achieve process optimization.
3. Internal procedures:Internal procedures are a necessary tool in breaking down processes into KPIs and process optimization thereon forward. They also deliver a standardized template for capturing specific process information.
Internal procedures provide a more detailed view of how processes are conducted for the organization as well as the Service Level Agreements instituted as part of the interactions with other processes in the organization.
Internal procedures also provide a set of detailed steps on how to perform process tasks, which significantly aid process performance measurement through KPIs.
Those basic process management tools and templates provide a simple and cost-effective solution to breaking down processes into KPIs. If used effectively, they can deliver tremendous benefits, such as preservation of process knowledge, documentary evidence of process understanding, a framework for process performance measurement, and overall improvement of business processes over time.
Working in a team can create synergy, since a good team will likely produce better results than individuals working separately. However, measuring team performance is even more challenging than measuring the performance of each employee separately, since you have to take into consideration each and every member’s performance, in relation to the others’, as well as the overall team’s.
In general, employees are members of departments. A department is a subdivision of an organization and an individual, generally, can only be part of one department. That being said, nowadays, teams are more flexible in how they are formed and how they operate: a team can be a temporary group formed to work on a specific task or project. Therefore, employees can be members of only one department, but several teams.
The first step is to link the team results to the organization’s goals, by cascading the objectives and KPIs from the organizational level to the team level. It is not very productive to have a well-performing team whose work does not help the organization reach higher performance goals.
There are many indicators and measurements that can be useful when considering measuring your team’s results. In what follows, we’ve put together a list of the most widely employed benchmarks, so that you may get a general feel for what is considered useful to keep track of.
Employee attendance: Employee attendance is an important aspect of team performance since absenteeism incurs excess costs and will have an unwanted effect on team productivity & employee morale.
Moreover, late employees can be the source of annoyance or frustration, which will reduce team cohesion and further reduce a working unit’s effectiveness. Therefore, attendance related KPIs should be the first ones to track, when we talk about team performance:
% Absenteeism: Indicates the percentage of employees within the team who are repeatedly and/or unexpectedly absent, out of the total team members.
$ Lost time accounting: Measures the potential revenue lost because of idle workers or wasted hours within the team.
# Time lost by starting work late: Measures the volume of time lost due to employees starting their working hours late.
Client satisfaction: Every team has an internal/external customer, which is why satisfaction can be a good measurement unit. Improving customer satisfaction will eventually result in a more efficient production process, better service and ultimately, lead to more satisfied external customers. The most important KPI to measure in this regard is the following:
% Customer satisfaction: Measures the level of satisfaction exhibited by the team’s customers (current employees, distributors, vendors, departments, or external clients), towards the inter-functional services provided, be it communication, productivity and/or responsiveness.
Employee retention within the team: A low retention level or a high turnover level is usually connected with low levels of efficiency and productivity, which in the end can lead to a negative impact on an organization’s overall results.
This aspect can be influenced not just by the team performance, but also by the HR department’s performance, the working environment and work policies, the supervisor, as well as the promotion and professional development opportunities for the future. However, high level of employee turnover within a specific team could indicate team-related problems.
The most important employee retention KPIs to measure are the following:
% Employee turnover: Measures the rate at which employees leave the team in a given time period (e.g., month, quarter, year).
% Employee retention rate: Measures the total number of employees retained at the end of the reporting period, expressed as a percentage from the total number of employees that were in the team at the start.
Employee satisfaction: Studies suggest a direct correlation between employee satisfaction, employee engagement and increased performance. Employee engagement can be increased through various company efforts, such as facilitating the development of skills for its employees, giving them a sense of trust and integrity, and clarifying their opportunities for future career development. The most important indicators to take into consideration, when looking to improve or maintain employee satisfaction, are the following:
% Employee satisfaction: Measures the employees’ satisfaction and motivation level, with aspects regarding their job and working environment: job responsibilities, team and management, workplace, and professional development.
# Employee Engagement Index: Measures the engagement level of employees in their work activities and responsibilities, in terms of enthusiasm, commitment and discretionary effort.
Productivity of individuals: Productivity of individuals is a key element of team performance. The following KPIs help measure a team’s contribution to the organizational goals, and the contribution of its members to the general team results:
$ Profit per employee: Measures the team’s contribution to the overall profit pool. It is a particularly important ratio in customer-focused businesses, such as those in the service sector.
$ Sales per employee: Measures a team member’s productivity and efficiency in generating sales.
% Human Capital Return on Investment (ROI): Measures the return on investing in a team’s human capital, after adjusting for the cost of financial capital.
$ Human capital value added: Measures the value added through productive activities, by a team’s members. Reflects the adjusted operating profitability figure, calculated by subtracting all expenses except for labor expenses, from revenue, and dividing the adjusted profit figure by the total headcount.
In some specific cases, where the productivity of a team is not directly linked to the organizational revenue or profit (ex. support teams), it is more advisable to use OKRs (Objectives and Key Results), instead of KPIs (Key performance indicators), to measure productivity.
OKRs contain a well-defined objective and one or more key results. OKRs help define how to achieve a goal through concrete, measurable actions. So, in case of the support teams, these results should be measured to track team performance, as they will be able to paint a more accurate picture of their efforts.
Conclusion
It is a complex process to measure team performance; therefore, it should be analyzed from numerous angles, according to each team’s specialization and workload. It should be noted that the aforementioned indicators are not the only ones which can portray a group’s results. However, if you are looking for a quick introduction into this topic, these KPIs will serve as a sustainable foundation on which you can build your employee management system.
David Norton and Robert Kaplan introduced the Balanced Scorecard in 1992 to the private sector, as a methodology of measuring a company’s performance beyond its financial outcomes, like profit margins.
There is a wide contradiction on whether to have or not performance measurements in universities and to what extent should they be applied, in the event of them being used. Peter Scott, professor of Higher Education Studies at the Institute of Education, University of London argues that everything is now reduced to a simple number and this may be harmful to students and staff alike.
3. Internal procedures: 
