Avoid Deadly Overload #IN Predictive Mobile Data Analytics, Learn from the Resonance of Flocks and Swarms

Nature shows us how to avoid deadly data overload illustrated in the extreme in recent The New York Times article that describes how soldiers are swamped by great bursts of data and the deadly consequences that may follow.

Flocks and Swarms Resonate to 3 Simple Rules

Flocks and swarms of animals, fish or bacteria gather to avoid predators or find food faster, though the group must somehow coordinate and synchronize movements so group members act in unison without confusion or deadly consequences from collisions and prevent preditors easy access.

Studies show that individuals in flocks and swarms use 3 simple rules to stay together;

  1. collision avoidance – maintain a minimum distance from others;
  2. velocity matching – matches its own velocity others;
  3. attraction – moves towards individuals within a short radius.

…indicates that complex behavior, like flocking, need not have complex rules. Indeed, increasingly complex behaviors are created by very simple rules that govern the relationships of individuals to each other.

Individuals in flocks or swarms resonate as a group and when ‘shocked’ they quickly re-form the flock or swarm.

Great Mobile Data Overload Challenges

There are two great mobile data overload challenges caused by the legacy systems in mobile data business models;

  1. Search Engine Optimization (SEO) Results don’t fit Mobile Phone platforms
  2. Mobile phone users demand privacy and content to fit constantly changing perspectives

As people move from personal computers and laptops to mobile phones as their interface of choice for internet interactions they no longer settle for old style mobile phone interfaces and search results focused on volume rather than quality and focus.

‘Cookies’ or other means of tracking computer users to understand user perspectives are no longer an option.

Transgressions related to privacy are also top of mind for people worldwide and internet ‘giants’ Google and Facebook when citizens and legislators in Germany and Canada said NO to the privacy violations embedded in their software processes which may have been designed to maximize ‘transparency’ and relied on ‘best practices’ but still out bounds from a privacy perspective.

Facilitate Swarms, Don’t Herd Cats

A popular metaphor to describe the difficulty in coordinating individuals in North America is the phrase ‘herding cats’ because cats are extremely individual and it is extremely difficult to get them to move in a coordinated manner.  And while cats may classically exhibit ‘anti-swarm’ behaviour they also provide a lesson — perspective matters, and if you take a cat’s perspective you would not attempt to herd cats, they don’t like it.  However, cats are social and form into groups with their own operating imperatives.

Mobile Predictive Analytics

The most common shared characteristic of people globally is a mobile phone somewhere on their body. 

Mobile telephone handset users are about to change the rules of the data game as they will drive innovation in content delivery by the simple act of using mobile telephones to access the internet. 

The service providers that anticipate the needs and perspectives of mobile phone users will facilitate their ability to swarm and interact without the stress of data overload, either to the mobile telephone user or the service provider that serves them.

Predictive Analytics and SpeedSynch Resonance Maps

Predictive analytics is an important tool that helps us understand patterns in large data sets and helps us distil the simple rules that we use to align people, content, products or processes with SpeedSynch Resonance Maps.

Cheers,

Nick Trendov @SpeedSynch @ResonantView nick@scenario2.com

 

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