The phrase "analytics of business" is correct and usable in written English.
It can be used when discussing the analysis of data and metrics related to business performance and decision-making.
Example: "The analytics of business have become essential for companies looking to improve their strategies and outcomes."
Alternatives: "business analytics" or "business analysis".
Other high-profile departures listed on LinkedIn from the last six months include Clinkle's Director Of Finance, Head Of Analytics, Director Of Business Operations, Engineering Director and Compliance Officer.
They have gone from nothing to using BI. in this tool they can see the analytics of their business: the average basket size, what's selling, what isn't.
What's different about Harriman's approach from that of traditional aid efforts is that he combines the gritty realism of the warfighter with the data-driven analytics of the business entrepreneur.
These are specific tool trainings and should not be confused with general analytics training in the fields of business analytics, predictive analytics and testing.
Cloud9 Analytics, a provider of SaaS business analytics for line-of-business managers, today announced it has closed its Series C financing for $8 million.
More recently, business intelligence has been conceived as a set of methodologies, techniques and tools that were mainly utilized in order to compute analytics on top of business data and enable its representation under forms that enabled decision-makers to establish diagnostics and prediction related to their business [8].
In summary, I want to emphasize the importance and power of business analytics (non-Predictive Analytics) and encourage solving any data-driven decision process using BA because it delivers strong ROI with limited effort.
The foundation has three main parts dealing with the whence and whither of business analytics: identification of dimensions along which business analytics possibilities can be examined, derivation of a six-class taxonomy that covers business analytics perspectives in the literature, and design of an inclusive framework for the field of business analytics.
In addition, new field-based insights on data visualization and algorithm innovation from the field of business analytics have direct application for auto-analytics practitioners and toolmakers.
This Viewpoint paper considers the mechanisms underlying how digitization and big data analytics drive the transformation of business and society and outlines the potential effects of digitization and big data analytics on employment – especially in the context of cognitive tasks.
