The document discusses Dell's strategies for leveraging big data to drive organizational growth and efficiency. It highlights the importance of integrating data from various sources, enhancing analytics capabilities, and fostering a partnership between business and IT. Key achievements include significant reductions in report generation time and enhanced automation, ultimately aiming to make data actionable and meaningful for the company and its stakeholders.

1. Turning Data into Insights
Leveraging the power of Big Data
Max Zieky: Director, Sales BI - Performance Analytics Group
Attila Finta, Chief Architect for Enterprise Data
SessionMT101
@texbruin

2. Dell - Internal Use - Confidential
Data is the new currency.
Invest wisely.

3. Dell - Internal Use - Confidential
Organizations actively
using data grow 50%
faster than laggards

4. Dell - Internal Use - Confidential
44% of
organizations
still aren’t sure
how to approach
big data
The second biggest barrier is securing the data, 28%...

5. Dell - Internal Use - Confidential
What is big (and small) data?
“Big Data”
(about machines)
So large or complex that
traditional data processing
applications are inadequate
Challenges include analysis, capture,
data curation, search, sharing, storage,
transfer, visualization, querying, updating
and information privacy
“Small Data”
(about people)
Small enough for human
comprehension, in a volume and
format that makes it accessible,
informative, and actionable

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Big
data and
analytics
trends
Business & IT partnership is
vital to success
Marriage of the old and new
Predictive analytics takes
center stage
Focus is shifting from
infrastructure to outcomes

7. Dell - Internal Use - Confidential
Transform the business
• Connect the intelligence
• Build analytics capabilities
• Deliver agile, secure BI
The all data journey:
Start with the end in mind
Align IT and the business
Build a scalable all-data
strategy
• Adapt to changing needs
• Optimize performance
• Lower costs
• Address security
• Define objectives
• Set KPIs
• Assess environment
• Anticipate needs
Business
becomes
data-driven

8. Mission:
Make data meaningful to Dell, our partners
and our customers
Strategy:
Build a data platform that empowers
innovation, provides insight and inspires action
Big data at Dell
Technologies

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Dell’s Business Intelligence Architecture
• Enterprise data integration ecosystem
• Informationfrom all systems of record –
internal and external
• The value of integrated data –
“the whole is greater than the sum
of its parts”
• Write once,read many
• Multiple storage & processing platforms
• Copy/move data only if filtered,
transformed +/or aggregated
• Enable memory-residentprocessing and
real-time analytics to drive business
operations and decisions

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BI capabilities & enabling business/IT partnership
• Enterprise BI IT
• Define & execute BI strategy & roadmap
• Collaborate with BI COE’s on data
governance and access
• Create and support pan-Dell IT environment
to enable big data and analytics
• Leverage agile methodology for new/enhanced
BI capabilities
• BI Centers of Excellence (COE)
• Define & execute pan-Dell BI strategy and
initiatives to transform use of data, reporting
& analytics
• Drive business engagement and governance for
defining standards, usage, and access
• Define and drive requirements for pan-Dell
processes and BI tools
• Results
• Nearly 100 sprints completed in last two years
• Launched big data platforms & technology
supporting Sales, Marketing, Operations,
and Services

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Prescriptive
analytics
Predictive
analytics
Business reporting
& analysis
Data integration & consolidation
Data collection & basic analysis Who are my
top customers?
How do they compare?
How are they
performing vs. plan?
What will they
need next?
CRM to
targeted accounts
Increasingmaturity
The key is turning data insights into action

12. Big Data and Analytics Use
Cases…a few examples

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• Single source of HR truth
• Improved security
• Customizable , fast and
scalable
• Self-service reporting
capabilities
• Enhanced analytics
capabilities
Hadoop-based
architecture
Outdated HR
data analytics &
infrastructure
– 800 sources
Tableaudashboardwith
drill-down capability
No single pane of class
for customer
performance metrics
• Single source of truth
for operational health
and performance
• Drives fact-based
customer briefings
• Faster recognition of systemic
issues to drive corrective
action at the source
Transform complex data
landscape with 13B
records& add
standardizationand
governance
Partnerwith the business
to develop management
system built on Dell SAP Hana,
servers, storage, and networking
• 60% faster response
• 40% increase in automation
of sales reports and
dashboards
• Eliminated shadow IT
A few examples of our progress

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• 11M unique customers
identified across multiple
marketing platforms
• Mapped journey for more than
2M accounts
CreatedX-platform universal
identifier (Identity Key Ring) and
JourneyData Martto map
Difficult to identify and track
customersor individuals
accessing variousdigitaland
online platforms
Difficult to track variationin
parts and commodity
availability vs.forecastat a
detailed productlevel
Big data solution for
“traceability” tracking
• Covers 33 commodity types,
3200 part families, 5700 products,
and 1.3B rows of data
• Unprecedented visibility and
ability to rapidly “drill down” to
identify problems or opportunities
A few examples of our progress

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What’s next
• End-to-end data integration
• Real-time dashboards &
mobile solutions
• Executive boardroom to field
• Embed analytics and
machine learning into decision-
making tools, processes &
transaction systems
• Real-time, near-real time
dashboards and predictive,
prescriptive alerts
• Pervasive use of predictive
analytics and machine learning
throughout our operations
• Personalized business
intelligence
• Self-service everything
Near term Future vision

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Results so far
50% reduction in non-
standard reports/KPIs
50% increase in
automation of sales reports
and dashboards
>20% increase
in analytics capability
60% faster response
time for predictive and
prescriptive analytics
50% reduction in pan-Dell
business intelligence spend
>80% reduction
in access to enterprise
data sources