There is no denial that the unprecedented growth of the volume, velocity and variety of data has necessitated high performance analytics that can tackle new business challenges. In the fast paced age of IoT, innovative solutions followed by new predictive and advanced analytics trends are being adopted by enterprises to get value from the data. The presentation attempts to highlight emerging business intelligence analytics trends of 2016 that can aid faster business insights and facilitate superior business decisions.

1. How to Build Competitive
Advantage with Customer
Intelligence – From data to
dialogue!

2. Data variety, NOT volume is the biggest bottleneck today…
Enterprise data is insufficient to provide support to competitive digital
business in areas such as…
Marketing
Financial
Healthcare
Manufactu
ring
“Noisy”
“Voluminous”
Data
Why???

3. To filter out the data noise, all you need is a deep understanding of
each and every customer …
Connecting with the customer
• Behavior
• Context
• Preferences
• Affinities

4. New Findings = New Solutions
74% of businesses want to
blend data from multiple
sources
70% of businesses wants to
explore insights faster
76% of businesses use Emails
to share insights; while 64%
uses Excel

5. Here are the top business intelligence trends of 2016 that will help
marketers get value from ever growing customer databases…
Data governance is the key.
A clean, centralized & fast data source will help nurture
data analytics to utilize for faster business performance
Visual analytics will bring critical
customer-centric data to life.
Information processing via images and videos will help
businesses communicate information to audiences
more intuitively to quickly arrive at business actions
Big Data Trends of 2016 – New Findings!

6. Cloud data & cloud analytics to
analyze data faster.
A Cloud-built private set-up, public Cloud set-up, or a
hybrid solution to capture, analyze and faster scaling of
industrial data
New technologies will open huge
potential for insights.
IoT data integration, Hadoop accelerators, improved
social media and many more new technologies will
facilitate each byte of data integration in the same
place
Data analytics will go collaborative.
Dynamic data collaboration will enable business
decisions based on shared data insights
No static platforms, now interactive
story telling on fresh data.
Storytelling and self-service data discovery of insights
will aid consistencies in data insights
Business Intelligence Trends of 2016

7. Big Data Trends of 2016
By 2020, business data
will be used to digitalize,
re-invent & eliminate
80%of business processes
By 2017, more than
30%of enterprise access to big
data will be via
intermediary data broker
services
By 2017, more than
20%of analytic systems will
provide product tracking
information.

8. What’s different with real-time data analytics?
Traditional
analytical
systems
• What has happened?
• Why?
• What will happen?
• What needs to be
done?
Structured Data
Batch Systems
Unstructured & structured
Data
Real-time Systems
Big data Real-
Time
analytical
Augmenting the traditional analytical systems, real-time
data analytics will help break down raw customer data
to gain insights on customer interactions and integrate
them all in one place.

9. Identify unique customer behaviors &
preferences in real time
View thousands of metrics for each
customer
Monitoring customer changing
preferences to identify opportunities
Bring analytics to data for result-
driven insights
Adding Value to Customer data

10. Empowering Customer Intelligence data – Bringing the customer’s voice back!
Execute single view of the customer
Agile & real-time customer profiling employing a
spectrum of approaches to segmentation
Deliver seamless cross channel experiences, merge data
analysis & deployment
Provide 360 degree customer experience that connects
emotionally
Provide the right offer at the right time and right place