In the age of big data, it’s a well-kept secret that an alarming majority of executives do not have the insights they need to make data-driven business decisions. There is a big data logjam of sorts occurring at most businesses, where very few executives can see across siloed systems to get the insights they need to do their job. Too often, systems collecting data within a business were implemented to automate a specific function.In most instances, no one is charged with pulling all this information together so the data continues to solve specific functional problems but does not address the larger opportunities within the business.
In the past, businesses thought that a one-time IT project approach could solve this issue. This gave birth to data quality projects or much more ambitious enterprise-wide projects such as an enterprise data warehouse or a multi-channel CRM system. However, around one year after rollout, organizations found they were running into the same problem again due to the volatility of data and the multiplication of data sources to be considered for data driven process.
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