Big Data, Continual Improvement and Effective Operational Risk Management Analyses

Big Data is the IT phrase of the moment in almost every industry. The concept of collecting huge amounts of data to learn, manage and gain a competitive edge can be attractive to business leaders. In order to better manage operational risk and continuous improvement, collecting data effectively, identifying high value targets, and efficiently using a proper volume of information are critical elements. Collecting data can be time consuming and costly. Gaining optimum value from data you have is paramount, as is ensuring the data you collect is seen as a valuable asset by everyone in your organization. Turning data into valuable intelligence to guide businesses on
their path to Operational Excellence are not without challenges. 

In this paper we examine the core principles of making data produce the most valuable intelligence possible supported by industry best practice change management automation systems.