data driven products

16
Data products One feature at a time May 4 th 2016 by Nataliya Nadtoka

Upload: nataliyan

Post on 23-Jan-2017

88 views

Category:

Technology


0 download

TRANSCRIPT

Page 1: Data driven products

Data productsOne feature at a time

May 4th 2016 by Nataliya Nadtoka

Page 2: Data driven products

About Centro

http://www.centro.net/ image above belongs to Centro

Page 3: Data driven products

Change the World one ETL at a time

made with

What I think I do

Page 4: Data driven products

What I really do

DATA BUGDATA BUGFEATUREBUG

Page 5: Data driven products

Challenges in Building Data products

• Business - related• Technical• Non - technical

Disclaimer: opinions expressed in this presentation are my own. They do not reflect the situation at any of my current/former/future employers.

Page 6: Data driven products

Business - related challenges

• Lack of predictability of the outcome of Data Science/ML projects

• “Just throw some data at it” approach• Scale and fault tolerance may be a solved

problem, but it comes with a hefty price-tag• Moving fast versus focusing on data quality

and then paying big for large unusable data

Page 7: Data driven products

http://www.mammothdb.com/the-big-data-landscape-by-mammothdb/

It’s only a partial picture, there is more to it

• Too much choice

• Not everything is enterprise ready

• Tech is a moving target

Technical challenges

Page 8: Data driven products

Technical challenges

Lack of standardized data formats (IOT)

Page 9: Data driven products

Technical challengesBuilding first, thinking of security and/or scalability later

I wish I thought

of it!

Page 10: Data driven products

Non - technical challenges

• Requires a strong advocacy and investment from the leadership

• Lack of focus “Too many great ideas”

• The quest for Data Scientist aka the Unicorn

Page 11: Data driven products

I’m not saying that unicorns don’t exist…

Page 12: Data driven products

Non technical challenges

• The dream of Agile Data Science• Regulations of data ownership differ by

country• Data ownership is still being defined

Page 13: Data driven products

Some solutions

• Build multidisciplinary Data team instead of searching for unicorns

• Ruthlessly prioritize ideas• Focus on actionable data, not on data size• Communicate across the organization

Page 14: Data driven products

Some solutions

• Keep an eye on the budget• Build with necessary security/scalability from

day one• Stay informed with trends, but take decisions

that work for your organization

Page 15: Data driven products

Conclusions

• Keep your focus• Design with necessary security/scalability in

mind• Communicate

Page 16: Data driven products

Do we have time for questions?..