20151016 data science for project managers

Secrets of Managing

Data Science Projects

Data Science For Project ManagersP M I - W V P R O F E S S I O N A L D E V E L O P M E N T C O N F E R E N C EO C T O B E R 2 0 1 5

T Z E - Y I U Y O N G

Topic Coverage

Exploration of data science from various contexts

Data products: Output of data science

Implications for project managers

HELLO!My name is Tze-Yiu Yong.

Technology Manager

https://www.linkedin.com/in/tzeyiuyong

More About Tze

Electrical engineer by training (semiconductor / statistics)

MBA from Duke University

Passionate about bridging the gap between technologists and non-technologists.

Currently studying for PMP – advice appreciated!

Data Generated Every Minute

How Big Is The Digital Universe?

IBM conservatively reports that we create 2.5 Exabytes of data per day!

(1EB = 1M TBs)

(1ZB = 1K EB or 1B TBs)

Michael Lesk, the Bell Labs computer scientist known for the Lesk Algorithm, wrote in 1997 (!), “There may be a few thousand petabytes (1K TBs) of information all told … the typical piece of information will never be looked at by a human being.”

Believe What You See On Television?

Dictionary Terms – Sum Of Parts

DATA• a set of values of qualitative or quantitative variables.

• pieces of data are individual pieces of information.

SCIENCE• organizes knowledge in the form of testable explanations and predictions.

• a way of pursuing knowledge, not only the knowledge itself.

www.thefreedictionary.com

Google Search Interest

Data Science evolved from Business Analytics which evolved from Data Mining.

Job Growth

Job Skills

In 2009, Drew Conway published this Venn Diagram of Data Science skills.

Job Skills

Which was then expanded on by Natalia Bilenko.

Job Skills

Now crystallized by reality.

Joel Grus Profile Pic

The Government Knows!

The Wikipedia

Data Product

“Any tool created with the help of data to make a more informed decision.”

Examples

Dashboards

Spreadsheets

Emails

‘People Also Viewed’

‘More Items To Consider’

Many others

Data Science Workflow

Hadoop / Cassandra (FB) / HBaseDB Schema

DBMSHW: Cluster / node

Big Data

Descriptive PredictiveAnalytics Analytics

(Now)Real-timeAnalytics

TIME

Unstructured dataData munging

Machine learning

Data mining

TableauDatawrapper

Time Check / Questions? [6 more slides]

(4 ME AT Y O NE S)

Implications For Project Managers

“Develop a reporting portal for internal stakeholders and customers that incorporates and aggregates machine data from a 30 unit installed base.”

“Implement a smart meter program for a major utility that enables increased accuracy of customer billings, improved outage management and reduced costs of usage collection information.”

“Analyze existing credit related customer data to develop a predictive credit scoreand risk of default model. Implement a user interface that facilitates broad usability across a wide range of internal business analysts.”

Implications For Project Managers.

“Develop a reporting portal for internal stakeholders and customers that incorporates and aggregates machine data from a 30 unit installed base.”

“Implement a smart meter program for a major utility that enables increased accuracy of customer billings, improved outage management and reduced costs of usage collection information.”

“Analyze existing credit related customer data to develop a predictive credit scoreand risk of default model. Implement a user interface that facilitates broad usability across a wide range of internal business analysts.”

Implications For Project Managers

You already have a good foundation.

Implications For Project Managers

Know your stakeholders – they are numerous. [Initiating]

Don’t let tools drive your policy or process. [Initiating / Planning]

Think about boundaries – external vs internal, functional. [Executing]

Manage up. [Monitor and Control]

Unique Considerations

Seek agreement on the quality of the data this is required for the data product.

Understand and then communicate where the data comes from and where its going.

Internalize the privacy concerns, regulations and practices for the data in your project scope.

Thanks for your interest and attention!

I AM HOPING FOR DISCUSSION …

CO NNE CT WIT H ME O N L INK E DINHT T PS:/ /WWW.L INK EDIN.COM/IN/T ZEYIUYONG