Technology Developments And Transformations In The Quality Management System
“I f you can’t measure it, you can’t improve it.” – Peter Drucker
Quality Management System is all about strategizing, planning, creating, doing, checking and improving the business performance, adding a new dimension to the Plan, Do, Check, Act (PDCA) model of W. Edward Deming
Games like football, baseball, etc. have shown that strategizing and improving performance is directly related to the quality of the data measured. The same is true for the businesses in the present day.
Digitalization is the new transformation tool for the all industries, which is driven by Data Quality, the backbone of the Quality Management System.
A single event, no matter how small, can change the belief of one’s life. Data management functions in a similar fashion: the quality of the data impacts decision-making and determines business outcomes and their speed.
Data Quality is, therefore, imperative to be talked about and worked on. It can offer many benefits to the business and to the customers. When we think about the millions of data being collected and processed by companies across the globe, this impact is exponential. Accurate and complete data leads to appropriate understandings and choices at the workplace, as well as increased possibilities and opportunities for business developers, digital and information managers, to use the data as a basis for decision-making and work optimization.
Data Quality is all about a large volume of data collection, sampling, analyzing, reviewing the structured and unstructured data for continually improving the performance, which sets the tone for future decision making. The results of the accurate data analytics give insights, previously unavailable to businesses, due to the limited processing capabilities and less focus on complex statistical models.
Everything a company does generates data, from tasks and processes in engineering to production, logistics, operations, and customer interactions. Over the years, the organizations have been recording this data, which puts a massive data pool in our hands.
So, for the top managers of the companies, the quality of the data is the biggest concern as the newly created records needs to be error-free / within the minimum acceptable range of quality standards which will help them save the revenue / improve the bottom line because they’re basing their decisions on this data quality.
Digitalization, for a company, is the constant realignment of business models, company culture, and technology. It helps in tapping deeply into this data pool and fully leverage our data assets. The result is a completely new value creation for the customers. Advancement in data storage technologies (paper to the cloud), complex data analysis techniques with high computation abilities, a shrinking data world helps to make it possible for the companies to get a new perspective to their business operations, leading to better and faster decision making.
I conclude by stressing that this is just a beginning of reshaping our Quality Management System by creating a smooth and consistent customer journey across all touchpoints; we maximize convenience for our customers and build stronger relationships. Digitalization is making it possible to connect resources (people, assets, and devices), and our data pool continues to grow —and that means additional information to help us get closer to our customers and create value-adding services.
Digitalization, along with Data Quality, will constantly re-align our business models, continually evolve our core processes, company culture, and technology to satisfy the needs of our customers, the core pillars of the Quality Management Systems.