15
MARC TORRENT MORENO, PhD & MBA Director Big Data Center of Excellence in Barcelona 6th October 2016, Club Excelencia en Gestión Buiding Data-Driven Organizations (DDOs)

Buiding Data-Driven Organizations (DDOs) · 2020-05-08 · Buiding Data-Driven Organizations (DDOs) Intuitive v and interactive user interfaces Big Data Infrastructures (3Vs) Advanced

  • Upload
    others

  • View
    2

  • Download
    0

Embed Size (px)

Citation preview

MARC TORRENT MORENO, PhD & MBADirectorBig Data Center of Excellence in Barcelona

6th October 2016, Club Excelencia en Gestión

Buiding Data-DrivenOrganizations (DDOs)

vIntuitive andinteractive

userinterfaces

Big Data Infrastructures (3Vs) Advanced Analytics

v

Base technologies2

“Big data is high-volume, high-velocity and high-

variety information assets that demand cost-

effective, innovative forms of information

processing for enhanced insight and decision

making.”

3Vs Big Data

v

Definition3

Internal andexternalSKILLS

Determine thespecific VALUE for the organization

Data SetsACCESS & QUALITY

v

Main challenges4

PARTNERS

COLLABORATING

ENTITIES

GOALS

Breake entry barriersPrototype innovative solutionsTrain supply and demand within the new data cultureCreate a reference ecosistem

v

The Big Data Center of Excellence Barcelona5

“A Data-Driven Organization realizes the great value of

rigorously processing internal and external information and

implements a data strategy across its different departments

and roles for process optimization, enhanced decision

making, and innovation.”

v

Definition and pillars of DDO

People & Organization

Data Governance & Processes

Technology

6

v 7

People & Organization

Traditional IT Teams

• Emphasis on certainty and efficiency.

• Long and sound implementation times.

Exploratory IT Teams

• Emphasis on agility and speed.

• Discovery driven and iterative.

Business User

Data Steward

Chief Data

Officer

Key

Roles

Business Data

Analyst

Data Scientist

Data Engineer

7

v

The Path towards a DDO

‘With Big Data … start small and grow BIG’

8

1.- Identify high-value opportunities

2.- Prove value to Business Leaders

through pilot programs

3.- Hire and empower people capable to

build/manage a “data science” team

4.- Scale by expanding to

additional use cases

5.- Strategy, Governance Model

and Processes

6.- Democratize the Data

v

Takeaways and final reflection

9

Big Data is a

Huge

opportunity Data is a

critical asset,

define a flexi-

ble strategy

Empower

(and hire) the

right people

‘Start ASAP, today it’s a competitive advantage…if not soon will be a competitive disadvantage’

Data Driven Organizations

• Start? Bottom up & Top down• Key: demonstrate clear business value• Data usage w.r.t. Corporate Social Responsibility• This is not a time for totalitarian standardization.

experiment now with innovative technologies, to not be left behind.

v

Key reflections of Big Data Congress 2016 (1/3)

12

Innovations• Match offline and online activities of customers

• Capture the valuable Dark Data

• Real time prizing to maximize revenues

• Multi-sourced real state “real” value

• All should be able to query your information systems

v

Key reflections of Big Data Congress 2016 (2/3)

13

Four Key statements• Big Data requires New Vision

(Liana Napalkova, Eurecat)• If pricing is a black box for you, you are loosing money

(Manu Carricano, ESADE)

• Watch out your data lake does not end like a data swamp(Alex Isakov, Pallantius)

• Big Data will enable a new generation of business models(Stephen Prentice, Gartner)

v

Key reflections of Big Data Congress 2016 (2/3)

14

Thanks!

Dr. Marc [email protected]@MTrrnt