It is no secret that analytics and planning projects are based on data. Typically projects involve wrangling some historical datasets, each with their own peculiarities, and then adding in some projection or prediction. Because data is essential, it is also a common stumbling block as business users consider beginning a new analytics and planning project.
Topics: Data warehouse, Analytics
Most organizations realized in 2020 that their traditional, manual planning processes were inadequate at best, and a liability at worst. QueBIT and its software partners specialize in helping clients move from disconnected, siloed planning into a collaborative and agile planning process turbocharged by automation and smart use of AI. This future state is Extended Planning & Analysis – or xP&A.
Topics: Analytics, xP&A, eXtended Planning and Analysis
IBM returned to Miami this year with a renamed and somewhat-rebranded version of the conference formerly known as IBM Analytics University. The concept of this new IBM Data and AI Forum was structured around IBM’s “AI ladder” and the rungs of that conceptual ladder: Modernize, Collect, Organize, Analyze and Infuse. It should come as no surprise that “AI” was, thus, more prevalent as a topic of discussion.
