10 top BI trends for 2016 – by Panorama Its all about the insight Visual perception rules The learning suggestive system - AI gets real The data product chain becomes democratized Cloud (finally) “Mobile” Automated data integration Interned of things data accelerating into reality Hadoop accelerators are the last chance for Hadoop Fading of the centralized on–premise DWH

1. Panorama’s Experts
Top BI Trends for -

2. Your Presenter of the Future
 Tomer is a key leader in defining the
future of BI.
Tomer holds a B.Sc. in Engineering and
an MBA from Tel Aviv University.

3. Cross-Industry Predictions for 2016

4. CIO Priorities for 2016

6. Fading of the centralized on–premise DWH
 Valar Marghulis (“All men must die”)
• Agility  it is not
• Scalability tough
• Price  expensive to set up and operate
• Automation <- what?
• Versatility of data types <- so let’s make it into a table
 Valar Dohaeris (“All men must serve”)
• Continuously add data sources of a verity of types
• Grow, change - static
• Price ties to use, benefits
• Automation!!! (or pay-up)
• Versatility of data types <- so let’s use it

7. Hadoop accelerators are the last chance for Hadoop
 Hadoop was seen by many as having triple
benefits
• A new age DWH capability
• Addresses the Big Data 4-Vs
• Standardized acceptance
• Started in 2005, gained traction 3 years ago
 BUT – many issues have arisen
• A complex assembly of different products
• Too slow for analytics
• Search based indexes are a must (for search and
classification)
 Solutions?
• Hadoop accelerators (cloudera, Ignite etc.) and
search methodologies
• Other options – Hadoop NG, NoSQL, TBD…

8. The Internet of Things – Accelerating into reality

9. The Internet of Things – Accelerating into reality
 The Internet of things is accelerating
• More data sources
• More data
• More software to take advantage of it
 Organizations want to use this data to gain competitive advantages
• More data == better analysis
• Adding external data sources
• Monetizing the data. Moving beyond pure collection
 Implications
• Tools to collect, store, model and analyze
o Otherwise you just collect virtual “dust”
• A new industry – M2M
o Car -> Schedule -> alarm clock
• Cloud deployments
o Scalability, location

10. Automated Data Integration
 The Internet of things is accelerating
• More data sources
• More data
• More software to take advantage of it
 Other data sources you have are also accelerating in size and
complexity
• Customer interactions
• Operational data
• Regulatory requirements
 Blending the data is essential to derive the needed insights
 Car + traffic+ weather + school + work calendar + partner calendar +
refrigerator -> “something” -> alarm clock + task list
 How many people do you have for this? Will you accelerate your
hiring?
 The Answer – automated data ETL, handling, integration and
publishing
• Without it – no IOT, no Big Data, no Insights, no value

11. “Mobile”
 There is not such thing
• Just a temporary location technicality
• Actually – there is no such thing as “desktop”
 Mobile BI
• There is no such thing – like mobile mail accounts or
mobile spreadsheets
• Mobile BI is BI
• Offline – what is it good for?
• Everything at your fingertips
• Anywhere, Anytime
• Disruptive work methods
 In 2016
• More form factors (watches, all inch #s)
• The new desktop
• Integration and assimilation of form factor
specific solutions

12. Cloud (finally…)
 Impediments for cloud (IDC)

13. Cloud (finally…)
 The new normal – we finally seeing interest
 BI is still one of the least cloudized IT markets
• Why? If your data is on premise so will your BI
 Innovation is in the cloud
 Good for cost cutting – mostly in small companies
 There is no cloud (?)
• Who cares about the location?
• Cloud gives benefits beyond just a deployment structure
o Cross corporate implementation
o Social algorithms for automating processes
o 3rd party data
o 3rd party services
 So what will change in 2016
• Offering uniqueness
• New types of automation (back and front)

14. The data product chain becomes democratized
 So the person with the best understanding of the underlying information
about the data is furthest away from it!
 Distance from the business user to the data MUST get reduced
• Business agility and speed
• Workload of IT
• Data enablement
 The solution – Self Service by using automated and suggestive BI
• Cloud
• Mobile
• Automated data integration
• A learning suggestive system
Data IT DBA Modeling Analyst
Business
User

15. The learning suggestive system - AI gets real
 The problem – New data keeps coming in – but it
is not cleansed or prioritised
 The solution - Intelligent systems that learn and
can suggest what would be of interest to you
based on (for example):
• Your previous operations
• Your colleagues operations
• Collaboration history
• Data that has interesting attributes
 The result – See what you need
!

16. Visual Language Rules
 With so much data thrown at the user – tables and chart have
outlived their purpose
 Users need to get information using their own terms
 A new language BI is emerging
• Image-based business metrics
• Speak a “business language” with intuitive, contextual imagery (not just
graphs)
• linked to live data
• Dynamic and highly visual
• Context aware, within self service Dashboards

17. What is a New Visual Language

18. It is all about the insights
 Users are baffled by the amount of data thrown at
them
 Trivial KPIs fail to deliver competitive edge
 Users really need Insights
• Automatic
• Suggestive analytics
• Predictive
• Value driving

19. 10 top BI trends for 2016 – by Panorama
1. Its all about the insight
2. Visual language rules
3. The learning suggestive system - AI gets real
4. The data product chain becomes democratized
5. Cloud (finally)
6. “Mobile”
7. Automated data integration
8. Interned of things data accelerating into reality
9. Hadoop accelerators are the last chance for Hadoop
10. Fading of the centralized on–premise DWH

20. Contact Us
(http://www.panorama.com/company/contact-us/)
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Would you like to discuss this further?

21. meet
SMARTDATA DISCOVERY
by

22. Product
NECTO AT A GLANCE
Customers
Thousands Customers,
hundreds of thousands users
Company
#1 System of insights for business
users
 Sold OLAP/BI to
 Developed first analytics in the
cloud with
 Known Visionary & Thought
Leader
 Killer User Experience
 Unique Suggestive Engine
 Collaborative BI Leader
 Self Service yet Governed
 Patented technology
“Clients gave PanoramaSoftware a high
score for its product vision.”
Analysts Opinion
“uniquely offering a suggestive BI functionality
that suggestsbest BI content based on popular
usage by your peers.” -

23. WE LIVE IN EXPONENTIAL TIMES
Endless data, multiple sources
and wealth of information
could be incredible -
yet overwhelming.
What happenswhen we
wantto take an optimal
datadriven decision,
and take it FAST?

24. IT'S VIRTUALLY IMPOSSIBLE
TO ACT, AT THE RIGHT TIME, ON THE RIGHT DATA
IT
(Data Access)
Database guy
(Data Preparation)
Business
Intelligence
guy
(Data modeling)
Analyst
(Data
Analysis)
The current BI
infrastructure from
the data source to the
business user is:
 Time consuming
 Broken
 Expensive
 Labor Intensive
 Complex
Resultingin a Big Fat &
Ugly Reportwith no
insights to Make the
right decision.
DATA
BIG FAT REPORTS

25. Proactively pushing the right
insight to the right user at the
right time
IMAGINE A MAGICAL SOLUTION
DATA BUSINESS INSIGHT
Smart Data Discovery
is shortening the
distance from data to
the user:
 Fast
 Easy
 Automatic
 Secure
 affordable
Resulting in insights to
make the right decisions
every second.
BUSINESS INTELLIGENCE
GUY

26. MEET NECTO
The next generation self-service
Smart Data Discovery Solution.
The ultimate decisions platform
for the everyday business user.

28. THE COMPETITIVE LANDSCAPE
COMPETITORSNECTO
NECTO QLIK TABLEAU MICROSOFT
Automated Insights
Governed & Self Service –
Fully Web Based
Recommendation Engine
Proactive Alerts
Smart Data Discovery
Contextual Collaboration
Unique Visualization

29. WHAT’S BEHIND OUR PATENTED TECHNOLOGY?
Data
Preparation
Insights
Generation
Data
Discovery Recommendation
Engine
Social
Engine
Insights
Delivery
 Collaborative decisions
 Posts
 Discussions
 Sharing data & insights
 Dashboards
 Reports
 Web, portals, iPad, Androids
 Notifications & Alerts, by email, PDF,
links
 Embedded in apps
 Full API/SDK
 Behavior analysis
 Preference analysis
 Right insights, Right
person, Right time
 Insights Finding
 Insights Correlation
 Insights
recommendation
 Visualization
 Infographics
 Analysis
 Exploration
 Exceptions
 Geo-Analysis
 Data Connections ( Relational, Cubes,
BI reports, CSV)
 Data Modeling
 Data mashup
 Data Optimization
 Data Security

30. Challenge
 Support thousands of users
 Enable different users to collaborate
 Effectively manage information and knowledge
 Provide patients with good outcomes
 Become the enterprise “BI system of choice” for 74,000
employees
USE CASE: QUEENSLAND HEALTH
QueenslandHealth provideshealth services for more than 30,000patientsevery day
Achieved
 Rapid response to iterative complex analytical queries
 Reduce costs and offer incredible performance
 More than 5,000 Users
“We revampedour BI solution in order to manageandmost importantly extract value
fromthe massive amountsof data we generateevery month”
- John Kelly, Director of Development -

31. Request a Demo
“Panorama is in the Visionaries
quadrant because of its product
vision, innovation and strong
market understanding” - Gartner
Request a Demo on
your own data here