¶ … envision Business Analytic impacting business society 10-20 years? (i.e. personalized
Business analytics will impact business and society tremendously in the next 10 to 20 years, a fact which is partially demonstrable via a retrospective of the role business analytics has impacted upon these two areas of life in the previous five to 10 years. Although analytics is certainly burgeoning in contemporary times, it will be nothing short of ubiquitous in the next two decades. Already there are advancements and specific use cases for analytics that were virtually unheard of as recent as the beginning of the last decade. For instance, one of the major power companies in Southern California has enabled customer intelligence -- in which individuals can access the company's warehouse and make substantial adjustments to their service and planned power usages based on real-time data and analytics which provides actionable insight. This trend in which analytics is becoming an increasingly normal part of life for people will only increase in the coming years.
Analytics will certainly impact digital media customer optimization, and provide the means for which customers can obtain increasing amounts of satisfaction and value from their media outlets and selections. Analytics has always been a part of major media outlets such as YouTube, in which analytics are readily applied to customer selections of videos in order to formulate recommendations...
Virtually every major digital media outlet does the same -- Amazon, for instance, readily offers additional media selections (and discounts) based on a customer's previous choices. Optimization will occur in the coming years in which predictive analytics applications can get so precise as to presage customer predictions before he or she even thinks of them -- enhancing the digital experience and providing a more enriched and rewarding experience for the customer.
Actually, the predictive capabilities for analytics will be one of its most powerful applications in both the business world and that for general society. End users will be able to leverage this aspect of analytics especially well when making investment portfolio predictions. Doing so will enable them to presage trends and investment strategies that will offer the greatest yields -- for both long-term and short-term goals. In fact, the financial industry is one of the verticals that most frequently utilizes analytics and business intelligence -- the aggregate of which is referred to as business analytics. The self-service components of certain of these tools -- such as data discovery options including search technologies, interactive visualizations and dashboards -- are gaining ascendency among business users. Therefore, it makes sense that customers will be the next ones to take advantage of the predictive power of analytics when looking for investment…
