bilot practical big data 101
DESCRIPTION
A 101 guide to Practical Big Data - what your enterprise needs to know to succeed with big data!TRANSCRIPT
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Practical Big Data 101Introduction to Practical Big Data in 18 slides
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What’s wrong with big data as we know it today?Is big data just hype or is there value in it for me?
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This is big data as we most commonly see it today – what’s wrong with this picture...?
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... gather it into a huge data lake...
...have it analyzed by a bunch of data scíentists...
Take all the data you can possibly get your hands on...
...and cash in your gazillions of $$$!
+ + =
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In fact, large part of big data projects have failed to deliver results
Focus on technology rather than business opportunities
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Missing clear link to frontline activity
R&D activity rather than business-supported transformation Projects staffed
primarily with data scientists and techies with little support from business
High expectations coupled with low understanding of where value would come from
Hint 1: Making big data a business project rather than a science project might be a better approach
~50% of big data projects
have turned out disappointing
- IDC global survey
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Therefore, the 3 V’s of big data is now 6 V’s
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Initially big data was just about having lots of data to play with...
Volume
Volume
Velo-city
Variety
VALUE
...since then, more attributes have been added to define big data...
..., but from enterprise standpoint the key is in VALUE!
Hint 2: Big data should have a clear business case to work against
Volume
Velo-city
Variety
Validity
Varia-bility
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Too often big data lacks a clear link to action – and therefore value!
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Real-time Analysis
Real-time Action
Big Data
Big Data
Don’t try to invent the value-creating play as the last step
– address it first!
Have a clear link between insight and action!
Big Analysis
Big Insight
Desired Business Outcome
Value
Old approachValue-creating
approach
Action (TBD)
Hint 3: Value may reside less in the data itself and more in how fast you get it into practical useValue (TBC)
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Much of big data is not fully enterprise-ready yet
Hint 4: Approaching big data with real-time analytics, potentially also combined with predictive capabilities, may get you to faster results.
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Practical Big DataThe missing link between big data and value
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Practical Big Data is about engaging your key stakeholders in real-time
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Decision maker
• New, transformative business models
• Real-time financials and analytics
• Big data -powered Business Intelligence
Frontline
• Real-time customer engagement
• Real-time service tools
• Real-time processes
• Real-time information
• Delightful interaction
• More competitive offering
• Needs anticipated and fulfilled at right time and right price
Customer
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Practical Big Data
Practical Big Data is about connecting your big data with real-time business
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4. Enterprisebig data
3. Real-time engagement
1. Business ownership
Acid test for Practical Big Data
1. Strong business ownership
2. Ties with business processes
3. Provides real-time engagement
4. Uses enterprise-ready big data tools
2. Business processes
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It’s about making big data part of your everyday business...
Bus
ines
s us
er r
each
-%
1980’s
Mainframe Client/Server Web In-memory Cloud
1990’s 2000 2010 2020
Printed reports
Ad hoc queries
OLAP
Manage-ment
All employees
BI suites
Dash-boards
Self-service BI
Mobile BI
Big data and advanced analytics
Analytics everywhere
Practical Big Data
Source: Modified from Successful Business Intelligence, 2nd edition by Cindi Howson
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...and it’s on top of the C-level agenda in global companies right now!
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69%Digital engagement of customers
Digital innovation of products, operating model, or business model
Big data and advanced analytics
Digital engagement of employees, suppliers, or business partners
Digital customer life-cycle management
Automation
Among top 3 digital trends in respondent companiesMcKinsey Global Survey to C-level executives 2014; N=850
64%
45%
44%
40%
34%
Aspects of Practical Big Data
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Practical examplesWhat Practical Big Data looks like in real life
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Three levels of Practical Big Data
A. Power up processes
B. Engage in real-time
C. Transform the industry
Ambition level
Impact
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Practical examples
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EXAMPLES
Transform the industry
• Macy’s• Hilti• Deutsche Telekom
Power up processes
Engage in real-time• LinkedIn• N.N.• Yodobashi
• Netflix, Amazon• Amadeus• John Deere
• Engaging content• Social media engagement• In-store promotions
• Price optimization• Mobile sales force analytics • Financial process
• Predictive product promotions• Big data –powered digital products• Predictive maintenance + engaging
content
A
B
C
1
2
3
4
5
6
7
8
9
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Want to learn more?
• ... a deep dive on the aformentioned big data examples?
• ... a demo of Hadoop with a practical use case?
• ... organize a half-day management workshop on Practical Big Data?
• ... further scoping and idea generation on how your organization could benefit from Practical Big Data?
Would you like...
CONTACT [email protected] www.bilot.fi READ blog
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