What is Our Approach to Analytics?

By Andrea Espíndola Pedro Olaya

Our approach to analytics is non traditional in the sense that we bring together frameworks that are normally separated and tries to fulfill the needs of our group at our university. The consulting team consists of faculty from diverse disciplines including computer science, industrial engineering, business administration and visual arts.

To take advantage from the diversity within the team, we will look at analytics from three different points of view.

A. The first, is the  holistic point of view of the enterprise. For us, analytics trascends data mining in the sense that it focuses not just in the creation of advanced models of Mathematical/stats/Artificial Intelligence /Natural Language Processing/Econometric flavors but it also includes a softer point of view. Such point of view  comprises concepts and frameworks such as :

Thomas Davenport’s DELTA, Enterprise Architecture, Human Resources , Strategic Dynamics/Systems Thinking, Change Management, etc.

And these are dealt with by professionals with competences in areas including business administration, design and industrial engineering.

B. Second, a technical perspective. This corresponds to the traditional data mining point of view. It comprises frameworks and areas such that:

CRISP DM, Model Creation and Management, Modular Ontology of Data Mining, Analytics Software and Hardware Architecture.

These tasks are usually carried out by professionals with a technical background such as Statisticians, Mathematicians, Computer Scientists, Econometricians, Economists, etc.

C. Finally, an information consumption point of view. This is intended to serve as a communication bridge between the model producers and the model users at all levels (strategic, tactical and operational) The corresponding frameworks for it are:

Graphic semiology, Information Visualization and Communication.

This point of view  is best undertaken by visual artists, business managers and communicators.

In an interdisciplinary environment like our university we have access to people with a  wide range of skills. This allows us to carefully divide the process of consulting in analytics in three different modules that best utilize these specific skills. We will explain these modules in forthcoming blog posts.

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