Big Data Unlocking
Opportunities
February 2014
www.pwc.com.au
The world today
Welcome
What is Big Data?
How can you leverage
Big Data?
How do
you start?
What is Big Data
Big Data Fact vs Fiction
Fiction Fact is only used for unstructured data
is only used for
unstructured data …technology can cope with a wide variety structured and unstructured data
is only used for customer analytics
is only used for customer analytics
is only needed for massive data sets
is only needed for massive data sets
…provides an architectural blueprint for storing and analysing large amounts of diverse data
is only available from the open-source
community is only available from the open-source
community
is a replacement for my current
BI platform is a replacement
for my current BI platform
…can be complimentary to your existing Business
Intelligence investments
…can be used to solve end to end business issues to truly transform your business
Our point of view
Executives know that they now operate in a data rich and data complex market;
Big Data for business analytics will become non-negotiable.
Data is an asset and should be treated as an ‘Enterprise asset’ to leverage the capabilities of any organisation.
Data needs to be business led to solve real business issues, with analytics and technology as key enablers.
Data enables organisations to deliver more value for their customers and more growth to their shareholders at a faster pace than ever before.
Data requires organisations to invest in new set of skills.
These skills are scarce, but can be developed.
The term Big Data
The term Big Data encompasses large
data sets that are rapidly expanding
due to the speed
and volume in which information can now be stored and produced.
1 PwC, “Capitalizing on the promise of Big Data: How a buzzword morphed into a lasting trend that will transform the way you do business,” January 2013, www.pwc.com/us/bigdata.
Big Data goes beyond traditional data management
Volume Velocity Variety
Organisation Type What are they achieving? Who are they?
Digital Enabled Organisation
• Data is the core of the organisation.
• Data drives strategy, marketing, product & decision making.
Bricks & Mortar Manufacturing
• How to leverage data to optimize operations & better service the customer and the market.
The ‘In Between’ • Heavy digital front end with a solid manufacturing base.
• Building extensions to their existing business models to leverage data and drive strategy.
What is the landscape of Big Data organisations?
PwC has analysed the market and observed three types of organisations
Convert the data to a format for analysis.
Source the data, at times
pulling directly from the systems of record.
Extract value from data analysis.
New model
Big Data techniques allow organisations to analyse data for patterns more quickly and at a much lower cost, as opposed to more traditional business intelligence systems.
Why does Big Data matter?
Source the data from
systems of record into a data warehouse.
Convert the data to a
format for analysis. Extract value from data analysis.
Time Old model
Who is offering Big Data solutions?
How can you leverage Big Data
How are organisations transforming Big Data to Big Insights?
Customer Data
Monetisation
Operational Efficiency
Risk
Management
Real life examples
So who is doing what?
Figure: Big Data Investment by Region
Even though many organisations are aware of the potentials of Big Data, very few organisations have it on their roadmap and only few have started investing on it.
How do you start
Should I be interested in Big Data and Data Analytics?
• Reports without insight
• Competitive pressure
• Significant transformation
• Investment in new technologies
• Growing digital capability
• KPI refresh
• Customer centric use case
• IT capex/opex reduction
• Cyber attack
• Unclear data strategy
• Fragmented Centres of Excellence
Where do I begin?
Does your organisation currently:
• Collect the data you need?
• Analyse what you need?
• Discard what you do not need?
• Distribute what adds value?
1. Determine if Big Data
is the right answer for you 2. Design and establish
an organisation
3. Establish a business case evaluation
4. Pilot, assess, and operationalise
5. Evaluate and improve
If the answers to these questions are yes, then all systems are go for launch. It’s time to start your engines.
It is critical that the Big Data organisation is led by an Executive Council, has a core solution team and is governed by strong guiding principles.
How do I build the Big Data organisation?
Data innovation executive Council
Data innovation core team
Data innovation advisory board
Office of the Corporate Data Officer
Executive Council
Innovation partners
Functional CIO/CTO Vendors Business partners Service providers
Data innovation council/steering committee
Data innovation leadership Data
hygienists Data explorers
Business solution architects Data scientists
Campaign experts
Pool of specialists (Leveraged from the organisation’s different areas as needed)
Roles that might already be aligned with the Big Data innovation initiative, as they should be.
Roles that need to be aligned with the Big Data innovation initiative if they are not already.
Example: Big Data organisation
Marketing Legal Product Finance
IT delivery Business sponsor Testing Compliance
What are the new career opportunities?
“By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills”
1Companies need to spend time upfront to identify the kinds of roles they need to make the Big Data machine run. While different
companies will have different talent needs, here are five important roles to staff your advanced analytics bureau:
HygienistsData Data Explorers
Business Solution Architects
ScientistsData Campaign Experts
2
I want to be a Data Scientist – where do I start?
1. Fundamentals 2. Statistics 3. Programming 4. Machine Learning
5. Text Mining/Natural Language Processing 6. Visualisation
7. Big Data
8. Data Ingestion 9. Data Munging 10. Toolbox
Thank you
Sheetal Patole Director
PwC Australia
Office: +61 (2) 8266 3977 Mobile: 0414257516
Fax: +61 (2) 8286 3977 [email protected]
To learn more visit us at:
http://www.pwc.com.au/analytics/
www.pwc.com.au
© 2014 PricewaterhouseCoopers. All rights reserved.
