• Advanced Analytics

Advanced Analytics. What You Should Consider

Data continues to move faster than infrastructure, particularly within enterprise landscapes.

Not only is the information moving fast, there is an ever-increasing appetite for advanced analytics and machine learning applications to assist with finding trends and opportunities within these information sets.

It’s easy to think there is one advanced analytical solution for all datasets but before you choose one here’s what you should consider.

There Are Fundamentally Two Environments

In the world there are fundamentally two environments; those that involve stationary processes, and those that involve non-stationary processes.

Now, let’s apply this school of thought to data.
Stationary Processes are unlikely to change significantly over time, and have constant mean & standard deviation (think of morning tea that starts at 10.30am)

advanced analytics come with many tools to describe data, model this data, and take action following these descriptions & models.

Non-Stationary Processes, however, will most certainly change over time, and so, the mean & standard deviations differ greatly within this environment. (think of morning tea, during an unexpected fire alarm)

Advanced analytics come with many tools to describe data, model this data, and take action following these descriptions & models.
However, like any environment, the tool should be appropriately applied. (you would not use a shovel, for digging holes in asphalt)

One such tool within advanced analytics is known as Neural Networks, an integral component of artificial intelligence, and is used within data modelling.

Neural Networks as a Tool for Data Description

Let’s return to our two fundamental environments, this time, with Neural Networks as a tool.

  1. Stationary Process being Chess.
  2. Non-Stationary Process being Football.

Chess, comes with a finite number of spaces, a finite number of pieces, and therefore, a clearly defined set of rules and parameters. Using Neural Networks in this environment is appropriate for objectively modelling a chess game.

Football, however, comes with a finite playing area, a finite number of players, a defined set of rules, but, an infinite number of potential trajectories & decisions.
Using Neural Networks in this environment, is inappropriate for objectively modelling trajectories of the football, which results in scoring goals & subsequently winning, or losing the game.

From a technical standpoint, Neural Networks may be used in both environments, though careful consideration should be given to the intended outcomes of applying this tool.

Of course, from a technical standpoint, Neural Networks may be used in both environments, though careful consideration should be given to the intended outcomes of applying this tool. (think of the shovel & the asphalt)
If applied incorrectly, data model integrity becomes a factor, particularly when influencing outcomes that may carry consequences. (think of not exiting the building during the fire alarm, or missing the football in the World Cup Final)

When making decisions that have direct impacts for humans, the requirements for accuracy significantly increase, and so to, do the costs and importance of these decisions.

Healthcare is one such landscape that stands to benefit immensely from this approach.

SMG Technologies has significant expertise in improving human wellbeing & health outcomes, by providing the appropriate tools for the intended use.
We have developed a proprietary set of data modelling tools & applications that accurately include both data (objective) & human (subjective) considerations for decision making.

Our proprietary XELA solution allows you to include expert knowledge within environments that may lack data quantity, data quality, or both.
This often reveals itself as a critical ingredient when making the most appropriate decisions, at the most appropriate times.

SMG Technologies XELA. Decide Better.

Vikki O’Shannessey

Chief Marketing Officer

Vikki is a vastly experienced marketing practitioner with 25 years of working with global, industry-leading technology corporations in New Zealand, Australia and the United Kingdom. Vikki brings to SMG Technologies a track record of accomplishment in planning and delivering integrated, multi-channel marketing campaigns and is instrumental in shaping the business’ strategic direction, corporate partnerships and new business acquisition.

Newsletter

Email *
First Name*
Last Name
*Required Fields

©2017 SMG Technologies