This document summarizes the key findings of the 2015 Big Data End User Study conducted by BigInsights. The study explored how organizations in the Asia Pacific region are adopting and using big data technologies. It found that data volumes are growing rapidly across industries and organizations are pursuing big data initiatives to drive business benefits like improved customer insights and supply chain optimization. However, challenges remain around integrating diverse data types and delivering big data infrastructure. The report provides insights into how organizations are applying big data analytics, the benefits they expect to achieve, and the challenges they face.

1. 2015 Big Data End User Study
Raj Dalal
Founder and Principal
www.BigInsights.co

2. About Us
BigInsights is an research & advisory firm focused
on Big Data Analytics. We help enterprises &
vendors with:
– Best practices and ROI on using Big Data technologies for
Customer and Operational Insights with focus on cases
across industries such as FSI, Telecoms,
Manufacturing/Distribution/Retail and Social commerce
– Emerging trends in new Big Data technologies and Big Data
vendor evaluation

3. Purpose of Big Data Study
To understand the implications and impact of the Big Data
phenomenon on the Asia Pacific region (focus on Australia)
through in depth study and analysis
Some key themes explored include:
• Growth – How fast data is growing in the region.
• Use Cases – What are the main business purposes for Big Data
adoption
• Technology Awareness – Knowledge of the different
technologies and platforms available in the market.

4. Big Data & Analytics Applications on
Next Gen Data Platform
Security / IT Infrastructure Ops
Industry Application
FSI * Manufacturing * Retail, * Government * Healthcare * Telecoms/Media *
Utilities
Acquire, Grow & Retain Customers
Personalisation * Profitability * Acquisition * Retention * 720 degree view of customer
Optimize Supply Chain * Reduce Fraud * Predictive Maintenance
Next Gen Data Platform
Data Warehouse / ETL re-architecture / Replatforming BI

5. Big Data = Transactions + Interactions +
Observations + IoT
Increasing Data Variety & Complexity
GigabytesTerabytesPetaBytes
> 60%
40-50% 30-40%
20-30%
Biz Activity
(ERP/CRM)
Commercial
Txn/ POS
Logfiles/
Text
Web/
Clickstream
Email/
Documents
Machine
/Sensor
Social
Networks
Geospacial/
Location
Based
Image/
Audio/
Video
Scientific/
biometric
Legend:
% of Respondents
What data
being stored
In centralised
Hub for
Analytics?
Source: 2015 BigInsights Big Data Study

6. Perceived Benefits of Big Data & Analytics
Source: 2015 BigInsights Big Data Study

7. Source: 2015 BigInsights Big Data Study
What are we doing with Big Data Analytics

8. The Top Challenges of Big Data & Analytics
Source: Big Data End User Study 2014/2015, BigInsights

9. Report Content
Contents:
- Methodology
- State of Play
- Company Size, Data Volumes, Unstructured Data, Data Growth, Data Types
- Business Benefits & Business Focus
- Key Stakeholders, Big Data Projects
- Business Challenges of Big Data Projects
- Technology Challenges of Big Data Projects
- Big Data Infrastructure, Vendor Awareness, NoSQL Databases , Hadoop Distribution
- Big Data Delivery Infrastructure
- Future Outlook
- Advice for Vendors & Service Providers
Investment: - Report USD $1997 ($2997 with 2 hour workshop)
Purchase report (Credit Card)
http://biginsights.co/2015bigdatastudy/
Questions: Pls contact us via service@biginsights.co

10. Methodology – Online Survey in conjunction with CIO
Magazine
Targeted Audience of organisations engaged or investigating a Big Data
project (Not random sample of companies)
Number of Respondents – 130
Target Audience – CIO/CTO, IT Director/Manager, Other Senior IT, Business
Analyst
Geography – Australia/NZ, SE Asia
Industries – Government, Education, Healthcare, Communications, Media,
Banking, Insurance, Retail, Manufacturing, Transportation, Distribution.
Mining, Construction, Energy, Utilities, Professional Services

11. Raj Dalal – Founder & Principal
raj@biginsights.co
@BigInsights
Thank You