Combining Business Process Re-engineering and Data Analytics

With the rise of Big data, a data-driven approach to business is transforming enterprises. Firms today are thinking about using data in myriad new ways to drive business values; from enhancing productivity by reducing business processing time. In order to do so with organisation data, we need to harvest the power of Data analytics to identify the bottlenecks and to combine with business process re-engineering to offer innovative services to the public or customers. One the other hand, business processes also need to be re-engineered for data analytics and a data-driven decision making.

What is Business Process Re-engineering (BPR)?

It is a business management strategy that focuses on analysing and redesigning business workflows and processes in an organisation. It leverages various frameworks from design-thinking to lean Six sigma to propose solutions that remove waste and streamline processes The following diagram summarises the steps to carry out BPR. If you like to know more, click on the BPR tap or icon above.

What are some of the Data Analytics Techniques?

Before we select any analytical model (e.g knn, regression, moving average), we will need to know what are we trying to find out (e.g what happened, or what will happen?) The following help us to better understand which analytical tool can help us better at different situations.