Data security fears have been widespread for several years now, as the world has seen massive increases in the frequency of major breaches and subsequent damages associated with identity theft.
The holiday shopping season has set in, and retailers will have a range of opportunities to collect valuable data related to customer behaviors, analyze it with advanced intelligence solutions and apply the insights to future strategies.
Advanced analytics have already become common investments among a range of enterprises, small businesses, public sector entities and other organizations around the globe despite being a relatively novel trend.
Business analytics solutions have become more advanced in the past few years, while many firms have started to incorporate data from a range of other trends such as mobility to enhance their intelligence performances.
With several recent reports indicating many companies that have deployed big data have thus far not been able to meet objectives and financial goals with the technology, it is becoming clearer that more thorough planning and strategy creation needs to take place soon.
Although manufacturers and health care providers were among the first entities to really embrace big data, others are now starting to leverage the tools to ensure they can maintain a competitive edge in increasingly saturated marketplaces.
Business intelligence technology and techniques have evolved rapidly throughout the past 15 years or so, and have gone from niche capabilities to ones that are present in a growing number and diversity of organizations.
Advanced analytics began as a means to measure various aspects of corporate performance and market trends more efficiently and quickly, allowing firms to bolster decision-making in a timely fashion.
One of the overarching trends that has been present in virtually all IT transformations throughout the past few years has been the increasing inclusiveness of novel solutions and tools.
When discussing data analytics, professionals working with the technology often refer to the process of collecting raw information and turning it into "actionable intelligence" - a phrase my colleagues and I find to be overused.