Question 1

What project risks do Big Data Scientists carry naturally?

Accepted Answer

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.

Question 2

What is Chicken-Egg problem of Data Science?

Accepted Answer

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.

Question 3

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

Accepted Answer

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.

Question 4

What is the role of tooling in Data Science projects?

Accepted Answer

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

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What can Big Data Analysis learn from Indian fishermen?

Bundestagswahlanalyse in Baden TV

Twitter Analyse der Bundestagswahl – Berichte & Deutung

Recent Posts

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