What project risks do Big Data Scientists carry naturally?

The explorative work of the Data Scientist is just done on an assumption that they likely will find value. There is no certainty for a catch in each execution.

What is Chicken-Egg problem of Data Science?

There needs to be evidence that there is value to get full commitment, sponsorship and unswerving support from business departments. Without evidence and full management commitment, it is hard to get sponsors and support. Data driven projects need results, but in order to generate this sponsorship is needed.

How can Data Science project results overcome the chick-egg problem?

They need to provide the first value in form of Big Data Analysis results as quickly as possible as it has a real impact on the sponsors.

What is the role of tooling in Data Science projects?

Automated Big Data Tools and defined processes are essential to run in production. This is necessary to esure testability and reliability.

Author: Tim | iunera

by Tim

What can Big Data Analysis learn from Indian fishermen?

Procuring my very own shell was similar to uncovering, and appreciating, the value of Big Data Analysis; this shell origins from an ocean of artifacts, and the value of Big Data ocean is an ocean of data. Data scientists’ casts their own lift nets, just like these fishermen with their large nets....

by Tim

What can Big Data Analysis learn from Indian fishermen?

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