Data science is the term used to describe big-data management, particularly for business use. Data science incorporates data mining and data analysis, with the goal of extracting usable insights from large amounts of unstructured data. More importantly, data science gives you the opportunity to understand the clients that support your business — defining and managing client expectations in real time, for improved consumer experience that evolves along with growing consumer needs.
Of similar yet distinct purpose is marketing intelligence. Marketing intelligence puts data science into context, with its primarily focus on how the data relates to specific clients. Superior marketing intelligence provides actionable conclusions about past, current, and future consumers, business competitors, and even internal processes.
But how is it that data science and marketing intelligence are able to convert so much raw information into something useful, and to do so in real time? They rely on advanced tools.
Effective consumer relationship management (CRM) systems are capable of handling the greater portion of the data load. These specialized systems automatically capture relevant client data for analysis, track issues, and help businesses keep track of the expectations and experiences of every individual lead and client. Additionally, the best CRM systems are entirely cloud-based and include real-time analytics options, meaning that no matter where or when you decide to check up on your data, you’ll have access to the most up-to-date conclusions available. Combine these capabilities with artificial intelligence-powered predictive insights, and you have the power to understand and meet consumer expectations, even as they continue to evolve.