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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 $$$!

+ + =

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

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

7

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

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

...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 info@bilot.fiSEE www.bilot.fi READ blog

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