How to prepare my data ecosystem to adapt to change

The ability to use data around me through data partners gives our ecosystem the plasticity necessary to respond to current and future problems that may arise in an increasingly unstable macroeconomic environment.

Departments tend to create data silos, creating protective barriers to their most valuable asset: information. This trend prevents organizations from setting up data solutions with a strategic impact. Barriers rise into walls when we talk about sharing data with other organizations. But the reality is that our data solutions often require information that is not in-house, and we ne to collaborate with other companies that have the data we lack. The opportunities of this data sharing are beginning to be exploit with great success through exchange models that favor players without putting data security at risk.

Share or die: The ne for CDOs to stay ahead of the grey rhinos

In the wake of the pandemic, the concept of the black swan has come to light once again. The metaphor of the “black swan” was theoriz by Nassin Taleb in 2007 to describe those improbable events of great socioeconomic impact that are explain once they have occurr, as if it had been possible to anticipate them in light of shoe image iting available data or historical background.

The less popular concept of “gray rhinos” was put forward by Michele Wucker at the 2013 Davos summit and focus not on weak signals warning of a crisis, but on weak responses to those signals.

Grey rhinos are like black swans (high probability risks with great macroeconomic, environmental, technological, etc. impact) that , despite being recogniz and evaluat, are ignor until they affect us violently and irremiably , as if we saw a rhinoceros from afar heading towards us and we did not pay attention to it until it was too late.

cartoon about the risk of not adapting

 

specialized photo editing

How to make my data ecosystem “bulletproof”

A data ecosystem can be defin as an environment in which data can be stor, process be numbers shar through a series of tools and services. As in biology, it is something alive, dynamic and will always have at least one data producer and one consumer.

data ecosystem 2

The key pieces to review in our ecosystem are:

Sources: They are the first link in the chain and depending on the objective of our organization, we will ne Sistem Beus Tolo Hayang Nyadiakeun with different characteristics. If the objectives between source and company are not align, we will be present with extra complexity in their use for our business objectives.
It also requires an effort to discover and manage sources and their data, as it can give rise to new business models within an organization.

 

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