The starting place for unconstrained analytics is the ability to run any analytics, any time. Beyond that, an analytic platform should be able to support any analyst, anywhere. The truth is that most analysts spend most of their time looking for data or waiting for queries to run. What is the impact of wait time? It’s a significant hit when you consider that most of these analysts are highly paid individuals and the work that they are doing is strategic in nature and vital to the success of the company.

Wait time may be costly, but refusal is even worse. Companies are taking a bigger hit when their highly paid analysts come to them with projects that would significantly impact the bottom line of the business and they are told they can’t do it. Unconstrained analytics is all about building a platform that allows companies to support any analyst, anywhere.

The analytic-driven enterprise makes analytics available to anyone making critical decisions. That includes analytic consumers, business analysts, and analytic modelers:

Analytic consumers.  Users who use traditional reporting products to mine information, but also need transparent access to data and advanced analytic capabilities They need quick, timely responses to business questions.

Business analysts.  Users who spend the bulk of their time doing analytics for the business and need freedom to explore large sets of data They need access to large, complex data often stored in many different places.

Analytic modelers.  Users who build complex analytic models for applications like affinity, business optimization, or predictive analysis. They need access to large complex data sets and hefty computing power.

Data scientists.  Highly educated and decorated users who understand, create, and use advanced analytic functions and data mining algorithms to make discoveries beyond human capability. They need access to large complex data sets, a library of advanced functions, and massive compute power.

My next post will be on analyzing any way.