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MT60: Fight the status quo and discover
how to do more with all data
Uday Tekumalla, Marketing Director
Panelists
Timothy Alosi
Head of Global Data
Analytics Solution
Center
@timalosi
Paul Calleja
Deputy Director
Research & Institutional
Services
@Cambridge_Uni
Dr. John Cromwell
Associate Chief Medical
Officer, Director of
Surgical Quality & Safety
@uihealthcare
Organizations actively using data grow 50%
faster than laggards.
50%
39% 42%
( 2 0 14 ) ( 2 0 1 5 )
The number of
organizations who
understand the
benefits of big data
grew slightly.
Source: 2015 Dell Global Technology Adoption Index
Data is the new
currency.
Invest wisely.
Only 16% of projects are championed by IT.
Finance
17%
Marketing
16%
C-Suite
16%
Source: 2015 Dell Global Technology Adoption Index
IT
16%
LoB
16%
Sales
16%
Addressing
data
challenges
holistically,
yet modularly
Where are you on the Dell All Data Maturity Model?
Data Aware
Manually compile
non-standardized
reports from
different systems
Data Proficient
Standardized
reporting on an
organization wide
reporting platform
Data Savvy
Use data to
make critical
business decisions
Data Driven
Embed data into all
business processes.
No data -> no
decision
Goal: Standardized
reporting
Goal: Track org
KPIs using BI
platform
Goal: Data based
decisions for key
initiatives
Goal: Add scale and
take out cost
Recap of challenges and capabilities to build at each
stage of maturity
Data Aware
• Challenges: No
standardized BI
and budgetary
constraints
• Capabilities: Data
modeling, reporting
dashboards
Data Proficient
• Challenges: Data
quality, BI data
sources and LOB
demands
• Capabilities:
Integration, new
data tech like
Hadoop & NoSQL
Data Savvy
• Challenges:
Technical skillset
and lack of
executive support
• Capabilities: Text
Mining, predictive
modeling,
managing &
integrating data
platforms
Data Driven
• Challenges: data
process
optimization,
prescriptive
analytics
• Capabilities:
Machine Learning,
presecriptive
analytics, Natural
Language
Processing,
Personalized UX,
3 things to do next
Get inspired. Talk to other Dell customers, learn what
they’re doing, and translate that into relevant use cases
for your organization.
Get going. Partner with the business to address the
challenges in the “wheel” one by one or holistically to
build a future-ready data architecture.
Get prepared. Collaborate with your colleagues in IT
and the business to assess your data maturity using
Dell’s model.
Thanks!

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Fight The Status Quo And Discover How To Do More With All Data

  • 1. MT60: Fight the status quo and discover how to do more with all data Uday Tekumalla, Marketing Director
  • 2. Panelists Timothy Alosi Head of Global Data Analytics Solution Center @timalosi Paul Calleja Deputy Director Research & Institutional Services @Cambridge_Uni Dr. John Cromwell Associate Chief Medical Officer, Director of Surgical Quality & Safety @uihealthcare
  • 3. Organizations actively using data grow 50% faster than laggards. 50% 39% 42% ( 2 0 14 ) ( 2 0 1 5 ) The number of organizations who understand the benefits of big data grew slightly. Source: 2015 Dell Global Technology Adoption Index
  • 4. Data is the new currency. Invest wisely.
  • 5. Only 16% of projects are championed by IT. Finance 17% Marketing 16% C-Suite 16% Source: 2015 Dell Global Technology Adoption Index IT 16% LoB 16% Sales 16%
  • 7. Where are you on the Dell All Data Maturity Model? Data Aware Manually compile non-standardized reports from different systems Data Proficient Standardized reporting on an organization wide reporting platform Data Savvy Use data to make critical business decisions Data Driven Embed data into all business processes. No data -> no decision Goal: Standardized reporting Goal: Track org KPIs using BI platform Goal: Data based decisions for key initiatives Goal: Add scale and take out cost
  • 8. Recap of challenges and capabilities to build at each stage of maturity Data Aware • Challenges: No standardized BI and budgetary constraints • Capabilities: Data modeling, reporting dashboards Data Proficient • Challenges: Data quality, BI data sources and LOB demands • Capabilities: Integration, new data tech like Hadoop & NoSQL Data Savvy • Challenges: Technical skillset and lack of executive support • Capabilities: Text Mining, predictive modeling, managing & integrating data platforms Data Driven • Challenges: data process optimization, prescriptive analytics • Capabilities: Machine Learning, presecriptive analytics, Natural Language Processing, Personalized UX,
  • 9. 3 things to do next Get inspired. Talk to other Dell customers, learn what they’re doing, and translate that into relevant use cases for your organization. Get going. Partner with the business to address the challenges in the “wheel” one by one or holistically to build a future-ready data architecture. Get prepared. Collaborate with your colleagues in IT and the business to assess your data maturity using Dell’s model.