Agile Big Data Practices

19
Agile [Big Data] Practices Atif Abdul Rahman 26 th – 27 th April, 2016, Marriot Hotel, Riyadh, Saudi Arabia Kingdom Big Data & Analytics Summit, www.bigdata-saudi.com …A Cultural Journey I was like her according to Pearson-R; We were both outliers www.About.me/atifabdulrahman

Transcript of Agile Big Data Practices

Agile [Big Data] PracticesAtif Abdul Rahman

26th – 27th April, 2016, Marriot Hotel, Riyadh, Saudi ArabiaKingdom Big Data & Analytics Summit, www.bigdata-saudi.com

…A Cultural Journey

I was like her according to Pearson-R;We were both outliers

www.About.me/atifabdulrahman

Why BigData?

Grumpy Mr. Hadoop

Why BigData?

Grumpy Mr. Hadoop

• Not for every other problem• Objectives and expectations are not set• Mythical nuggets of wisdom are still Mythical• Are we there yet Syndrome?

Why BigData?

Grumpy Mr. Hadoop

• Not for every other problem• Objectives and expectations are not set• Mythical nuggets of wisdom are still Mythical• Are we there yet Syndrome?

Series of Experiments

Series of Experiments

Series of Experiments

Learning Organizations are more likely to success with Big Data Projects

Learning Organizations are Agile

• Appetite to Take Plunges (for Lagging Indicators)• Learn by Doing (and from mistakes)• Ability to Pivot from predictable decisions

“Culture Eats Strategy for Breakfast”

Drucker

Data Driven Culture

Who makes the most decisions?

How fast & frequent are

actions taken on those decisions?

How are the feedback from actions taken?

Data Driven Culture

Who makes the most decisions?

How fast & frequent are

actions taken on those decisions?

How are the feedback from actions taken?

Data Literacy Sprints Nudges

How many Data Expeditions does your organization run every Year?

How many Data Retreats does your executives take each year?

Do you have continuous training programs to spread data literacy in your organization?

Data Literacy

Iterations don’t reveal the solutions as much as they help refine the questions

Iteration 1 Iteration 2 Iteration 3 Iteration 4 Iteration N

• First time a lot of experiments must be undertaken with variations

• Clearly irrelevant experiments will filter out

• The problem statement starts to become more prominent

• Potential close solutions are in sight

• Winning recipes are converged!

Growth Hacking: A Series of Nudges to reach the best questions (and solutions)

Minimum Viable Insight to take that Decision & Act

18

Science is Agile by Design

There is a thing called Gravity

Gravity warps space and time

Gravitational Waves are Real

Refinements of understanding takes place in increments

Riyadh Agile & Scrum User Grouphttp://www.meetup.com/rascrummer/

Riyadh Data Geekshttp://www.meetup.com/DataGeeks/