Big Data created an incredible hype in the market by establishing a whole new level of data exploration and analysis applications. It’s not a secret anymore that in order to keep up with the pace business world is moving today, organizations need to more easily and quickly access, interpret and distribute real-time analysis from a growing array of internal and external data to achieve their corporate objectives. With the development of SQL Server 2012 and Panorama Necto, organizations have gained the ability not only to get a simple and secure access to Big Data, but to make it useful and meaningful for further exploration and advanced analysis. The application of Business Intelligence 3.0 capabilities enables them to master the vast amounts of unstructured data in a matter of minutes.
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1. Business Intelligence 3.0Master the World of BIG Data
2. We Live in a Data Explosion Era Data explosion caused by:
Cloud computing, Rise of mobility, Globalization, Social media,
machine data, web logs, sensor networks, RFID tags In 2012, the
data overload will reach 2720 exabytes In 2015, the data overload
will reach 7910 exabytes By 2020, the prediction is 35
Zettabytes.
3. Main trends in BI today: Big data It is easy to collect
data, but difficult to make sense of it using traditional BI tools.
The useful life of information has decreased, and so has the
utility of BI tools Consumerization of Enterprise BI Use to get
everything from the internet Access to analysis on their daily job
Social & Contextual BI Mobile BI
4. The Challenge: Decision Window isNarrowing, while data is
growing.. Lots of data need to be digested quickly, or risk of
being irrelevant Decision need to be taken faster than competitors
do The holy grail is to shorten the time from Data to Action Time
Decision Window
5. BI 3.0 helps business users make sense of Big Data
Consumerization Big Data BI 3.0 Of Enterprise BI Shortening the
time from Data to Action
6. Gartner: Analytics & BI are back to #1 Top technologies
selected by CIOs
7. Gartner 10 top trends for 2012 Analytics Social &
Contextual Tablets Cloud In memory Big data* more: mobile, apps
store, internet of thing, low energy servers
8. What is BIG Data?
9. BIG Data is:Data sets of extreme volume and varietyThe Vs
Volume exceed physical limited of scalability Velocity - decision
window small compared to data change rate Variety many formats
makes the integration expensive. Variability many options for
analysis
10. Market sizing and growth In 2011 Big Data was a 9B$
business, which represents only 2% of 407B$ spent on Enterprise IT.
By 2021 Big Data will become a huge 86B$ business, which will
represents 11% of spent on Enterprise IT. 10 years CAGR of 25% for
BigData compared to Enterprise IT CAGR of only 5%
11. Whats in it for Business People?
12. The best Return on Investment fromBig data is Analytics
Organizations collects huge amount of data The most common use case
for such data is to analyze and find hidden insights, correlations,
etc
13. Storing and processing Big Data with the Hadoop Framework
Map SQLBigData HDFS Hbase Hive BI Reduce Server Hadoop framework BI
Suite
14. + Enterprise-Ready Native connector Enhanced Security Ease
of deployment Integration to the Enterprise Data Warehouse
Simplified programming Seamless connectivity via BI tools and
Excel
15. When you have a World of Data.. You need a better
Compass
16. Panorama NectoTM BI 3.0: Build Your Corporate
IntelligenceADVANCED ANALYTICS Easy-to-use analytics for business
users and advanced analytical SOCIAL BI capabilities for power
users Engaging platform for collaborative decision making Self
Service CONTEXTUAL DISCOVERY Intelligent BI engine
thatautomatically pushes relevant insights by understanding users
behavior
17. Contextual discovery helps you focus on whats relevant
INTERESTS GRAPH - Tags - Likes - Visits This is what I likeSOCIAL
GRAPH Example: Amazon, netflix- Friending- Discussions- Annotations
DATA - Insights - Exceptions - Models This is who I know Example:
Facebook, linkedin
18. Social BI, your essential tool for Big Data Leverage the
Power of Many to get better Insights Work collaboratively for
better and faster insights and decision making Create add-hoc teams
to discuss subjects at hand Add unstructured knowledge layer Follow
others work Enables you to work in an ever evolving data
generation
19. Advanced Analytics on Big DataSlice and diceDrill-ups,
drill-downs and drill-throughsAdvanced filteringSimple and bubble
up exceptionsFormulas and parametersInstant calculated
membersSliding filtersInteractive ChartingOne click interactive
reportingLarge dimension handlingAdvanced MDX and DAX toolsAnd
much, much more
20. True Self Service on Big Data Users can create their own
Workboards or easily find the WorkBoard they should work on With
Necto and SQL 2012 you can easily add your own sources of
information and connect them to the organizational data for better
and deeper insight
21. Big Data Example
22. Azure and Hadoop Windows Azure is Microsoft computing and
storage Cloud Azure provides the Hadoop framework as storage and
processing layer and solves the two issues of the data explosion
Moving data to Azure removes the need of managing hardware and data
maintenance Dealing with massive data analysis using the Azure
hadoop framework
23. Public data Analyzing organizational data help business
users understand WHAT has happened. Mashing up this data with
public Big Data sources can help business users understand WHY
things happened
24. Demonstration
25. The Big Data Demonstration Flow 1 2 3 4 Azure Hadoop
Publish to Insights Data Cluster SQL 2012 through Market Necto
26. Try it yourself Download Necto from
http://go.panorama.com/trial-1 Request access to Hadoop on Azure
https://www.hadooponazure.com/ Use those slides to guide you
through the process, connect Necto to Hadoop and enjoy the
experience.