2. 56% Of Enterprises Will Increase Their
Investment In Big Data Over The Next Three
Years
70% of IT decision-makers consider their
organization’s ability to exploit value from big
data as critical to their future success.
65% say they risk becoming irrelevant and/or
uncompetitive if they do not embrace big data.
64% are seeing big data changing traditional
business boundaries, enabling non-traditional
providers to move into their industries.
53% are seeing increased competition from
data enabled start-ups.
Why the new interest in data?
Source: http://www.forbes.com/sites/louiscolumbus/2015/03/22/56-of-
enterprises-will-increase-their-investment-in-big-data-over-the-next-
three-years/
4. Data in all forms & sizes
is being discovered,
generated and used to
make strategic
decisions faster than
ever before.
Organizations are
capturing and
combining it for new
insights, better
innovation and faster
decisions.
5. Data analytics has become the technology driver of this decade.
Companies such as IBM, Oracle, Microsoft, and others are creating new
organizational units focused on analytics that help businesses become
more effective and efficient in their operations.
Decision makers are using more computerized tools to support their
work.
Even consumers are using analytics tools directly or indirectly to make
decisions on routine activities such as shopping, healthcare, and
entertainment.
6. (2012, October 22). Sizing “Mobile + Social” Big Data Stats. Retrieved from http://practicalanalytics.wordpress.com/
7.
8. What was the problem
they were trying to solve?
How did data solve their
problem?
The new team beat all the
odds, won 20
consecutive games, and
set an American League
record.
https://www.youtube.com/watch?v=yGf6LNWY9AI
9. To make data useful
… we need to ask the
right questions.
Insights:
http://www.information
week.com/big-data/big-
data-analytics/6-ways-
to-ask-smarter-
questions-of-big-
data/d/d-id/1322028
11. Let’s do a multi-media exercise to demonstrate the application of
business intelligence.
This multimedia excursion provides an example of how additional
information available through an enterprise data warehouse can
assist in decision making.
https://www.youtube.com/watch?v=NXEL5F4_aKA
12. Data Warehouse
Collection of data from all parts of the company
Data Analytics
Collection of tools for manipulating, mining, and analyzing the data in
the data warehouse
Business Performance Management
KPI’s for monitoring and analyzing performance
User interface
A “dashboard” to monitor data, progress, performance, etc.
13. Enhanced strategic planning
New and innovative business models
Restructured business processes
Participate in business alliances
Improve corporate information systems
Encourage innovation and creativity
14. Improve customer service and relationships
Move to electronic commerce
Improve communication, data access, and
collaboration.
Respond quickly to competitors' actions
Improve decision making
Key Points:
Data is currency in the twenty-first century
Companies that take advantage of data opportunities have the potential to outperform those that do not
Talk Track:
What asset is most leveraged by today’s thriving companies? Data.
We believe data will be a key differentiator for businesses today and in the future.
You constantly hear in the news about new ways in which businesses are using data as a competitive advantage.
You hear how people in those organizations are making fast, informed decisions like never before possible.
So the question is, what are these thriving companies doing with data?
Let’s ground ourselves in the meaning of Big Data so we’re on the same page.
Data is everywhere—in all forms and sizes, from online transaction data, to video, to social media, and the amount of data being generated is astounding.
Big Data is about capturing that information in real-time and empowering people to put it to use, by combining data in new ways, to generate new insights, and make better, faster business decisions.
"big data," which is a buzzy term used to describe a set of technologies that makes it easier to collect and make sense of massive amounts of data generated by things like people visiting web pages, or sensors in millions of networked industrial devices. Read more: http://www.businessinsider.com/microsoft-power-bi-gives-big-data-power-2015-1#ixzz3Q2sOYrKd
