The natural evolution of competition in general market and in some businesses in particular, the notion of the importance of increasingly satisfying customer needs and the awareness of the importance of continuous improvement processes for the continuity and growth of the business, has been to gain more and more ground. This very important and timeless topic has increasingly led to the creation of new procedures and processes, and the need for companies to reinvent themselves at different levels, namely with regard to customer service.
Products and services are no longer so “watertight”, as a result of customer profiles are no longer so adaptable, customer needs becoming the central focus, and in this way, products and services become customizables, allowing to offer customer-tailored solutions.
It is necessary to rethink and analyze the activities, the approach and the planning, in order to act efficiently and effectively. But knowing the needs and solutions to improve and promote the growth of activities and businesses, needs more than planning and management skills, it requires data analysis, in its different approaches.
Statistical analysis is widely used in Lean Six Sigma processes to reduce waste, optimize processes and create efficiencies. The strategic operationalization process should focus on performance improvement systems, products and solutions.
This process must consider some essential points, so that the development of the strategy is the most effective. It is essential to plan and execute all stages of the process rigorously, in order to obtain the best results. And it is here that Data Analytics, such as Predictive Analytics, Advanced Analytics and CRISP-DM Methodology, take on the main role.
This Analysis implies the use of appropriate software and the need to be developed by specialists in topics such as: needs diagnosis, information collection, data analysis, creation of models, development of improvement processes, evaluation of results, development of plans and reports for defining customer-focused strategies.
Thus, for approaches and methodologies to be well planned and executed, data analysis and information management must be the basis at all stages of the strategic operationalization process.
The process of creating new ways of thinking about activities, so that products and solutions are customer-centric, reinforces the importance and need for data analysis, in its different approaches, for the growth of companies and businesses.