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The return of the narratives
Venkataraman Ramachandran
Consultant – Information,
Media & Entertainment
Cognizant Business Consulting

25th January 2014

@venkinesis
www.venkinesis.in
www.venkinesis.in

www.bigdatainnovation.org
Which is the primary key that unlocks the business
value of the data?

A: Big Data

B: Algorithms

C: Data Visualization

D: Narratives
Which is the primary key that unlocks the business
value of the data?

A: Big Data

D: Narratives
Which is the primary key that unlocks the business
value of the data?

A: Big Data

D: Narratives
“Consulting, a profession grounded in building
narratives [and naïve rationalization] “
-

Image courtesy: Wikipedia
content is subservient to context
Narratives

1. Narratives
‱ Spoken or written account of story
‱ Homo narrans

Takeaway

Datagrounded
narratives

Sideeffects

The story
of best
practices
Balvinder is married, outspoken and deeply
engaged with social issues.
Which of the following is more likely?
Balvinder is a bank manager
OR
Balvinder is a bank manager who is an active
volunteer at an NGO
Image courtesy: Freedigitalphotos.net
Hero meets the
assassin
Hero is suffering
from <Insert the
latest syndrome>

Rockstar hero
wakes up to his bad
dream where his
uncle is killed

Hero kills the
assassin

Assassin was the
hero’s dad’s best
friend

Image Courtesy: IMDB, Wikipedia
Narratives

2.The story of “Best Practices”
Takeaway

Datagrounded
narratives

Follow “the best
practices” based on
our tested and proven
methodology
What’s your BIG
DATA Strategy??

There is too
much data out
there.

Sideeffects

The story
of best
practices

Deliver Roadmap
and ensure
strategic alignment
between business
and IT

Voila! Welcome
to Big Data 2.0
Narratives

3.Side-effects
Takeaway

Datagrounded
narratives

Sideeffects

The story
of best
practices

‱ Trapped by cultural voeyurism
‱ Organizations are the same!
‱ Strategy ends up in tinkering and IT infrastructure tends to “drift”*
‱ Denial of complexity

*Source: Claudia Cibora 1997 Scandinavian Journal of Information Systems
Intermission

Image Courtesy: Google Images
Content is subservient to context
Narratives

4. The return of the narratives
Takeaway

Datagrounded
narratives

Sideeffects

The story
of best
practices
Turning Numbers into Narrative for an audience of one

Data

Facts

Angles

Narrative

Structure

Source: Narrative Science Website
Data products ecosystem
Vertical search
products
Eg. Cars.com

Reporting &
Visualizations
Eg. Tableau,
Cognos, Palantir,
Good Data

Value-added
data
Eg. Experian,
Navteq

Data Collection, Storage & Transmission
Eg. NYSE, Teradata, Hadoop, Market Trends

Source: Narrative Science – Larry Adams Presentation at Big Data Week
Old narrative

New narrative
What-if
realities
Reality

Reality

Meaning

Media

Narrative

Data

Algorithm

Meaning-n

Narrative-n

Meaning-1

Media

Narrative -1

Data

Algorithm
4. Takeaway

The new story of best practices
‱ All answers are statistically significant
‱ Causality doesn’t equal correlation
‱ Appropriate practices are debunked until proven
4.When does Big Data make(s) sense?

‱ Can your business model survive data-scarcity?
‱ Do you see data-ubiquity as a problem or a predicament?

‱ What’s your meta-narrative??
In a world full of answers, do you have the right
question??

Image courtesy: Freedigitalphotos.net
www.unicomlearning.com

Topic:

Thank You
Venkataraman Ramachandran
venky@venkinesis.in
Organized by
UNICOM Trainings & Seminars Pvt. Ltd.
contact@unicomlearning.com
www.bigdatainnovation.org

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Unicom Big Data Innovation Conference - The return of the narrative

Hinweis der Redaktion

  1. This talk comes from my blogger hat, as opposed to my consulting hat, although I will be wearing consulting hat towards the fag end of the presentation.
  2. “we create as much information in 48 hours—five billion gigabytes worth—as was created “between the birth of the world and 2003.”We are talking about 3Vs – But strangely no one seems to be talking about Value..intentionally capitalized.