We are all familiar with the potential benefits of big data analytics to a company’s future success, but how do we start laying the groundwork to support it? Here are some starting points from Information Management.
Data. First, define all your data sources. Determine where all your data currently lives and how it flows through your operation. You should also prioritize and categorize your data, identifying the critical pieces.
Infrastructure. How will your system move and support all of this data? How does your system handle structured and unstructured data? Evaluate the infrastructure in place and what would need to be developed or integrated to ensure data flows well between collection, processing and ultimately to your analytics applications for decision making. Another key part of infrastructure is its processing speed. Your platform also needs to be able to support rapid processing of raw data to ready it for analysis.
Storage. The sheer volume and formats of big data and the rate at which it can change can be daunting. You need a solid storage strategy in place. Utilize solutions that help you manage capacity, performance and cost.
Security. Part of building a solid foundation means thinking through data security. Be sure to explore the processes for securely transferring data in, out and around your data center and big data analytics applications.
Checks and balances. Analytical insights are only as good as the data put into the analysis. Discuss what oversight and review is needed to ensure data quality and integrity.
Big data analytics gives companies the ability to make more informative, real-time decisions, but it all starts with a solid foundation to operate on.