Big data refers to high-volume, high-velocity, and high-variety information that requires innovative processing for better decision-making. Small businesses gradually accumulate data, which necessitates a big data strategy over time for meaningful analytics and competitive advantages. Key challenges include data privacy, the need for effective storage and analysis, and integration with existing systems.

1. Importance of Big Data for
Business

2. Big Data
• Big data is high-volume, high-velocity and
high-variety information assets that demand
cost-effective, innovative forms of information
processing for enhanced insight and decision
making.

3. Big Hype?
0
200000
400000
600000
800000
1000000
2007
2013
Data(Exabyte)
Data(Exabytes)

4. Small to Big
• You think your data isn’t big?
• Eventually it will be, over a period of time.
• If you are a small business and say “we don’t
have big data”, it simply means you are not
collecting or just discarding data.

5. Small Business Creating big data
• Slowly but steadily small businesses are
collecting information about the user and
derive meaningful, actionable analytics.
• Start collecting data about your
customers, users, partners. Over a period of
time(few years), this data becomes really huge
and you need a big data strategy sooner or
later.

6. Guide to Big data
• Collect
• Store
• Analyze

7. Collect
• "The challenge on the flipside of that is the
risk of unintended consequences.“
- Author(Ethics of Big Data)
• Privacy of data is major factor of concern for
collection of data.

8. Store
• As data grows, agencies face increasing need
to make the most of their storage options.

9. Analyze
• Big data analytics is the process of examining
large amounts of data of a variety of types (big
data) to uncover hidden patterns, unknown
correlations and other useful information.

10. • Such information can provide competitive
advantages over rival organizations and result
in business benefits, such as more effective
marketing and increased revenue.

11. • Problem arises with unstructured data sources
such as social media login which need to be
fitted with traditional data warehouses. Which
aren’t capable of handling the such sort of
data.
Huge Unstructured Data

12. Prominent Technologies
• The technologies associated with big data
analytics include NoSQL databases, Hadoop
and MapReduce.

13. Problems
• Lack of internal analytic skills
• High cost of hiring experienced analytics
professional
• Integrating various software such as Hadoop
with Data Warehouses

14. Who Are We?
• Azuyo is the Premier destination for building Web, Mobile
and Social media apps.
• At Azuyo, we have developed various interesting web &
mobile apps for our clients.
• We have huge base of satisfied clients from different sectors
of businesses.

15. Contact Us
Please contact us for cutting edge Mobile, Web, Social
Media and TV Apps.
Azuyo Software Research &
Development Pvt. Ltd.
Survey No.56, 1st Floor,
Sai Arcade, Devarabisanahalli, Outer Ring
Road, Bangalore - 103.
sales@azuyo.com
+91 97403 80523
+91 80 4210 7637
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