How to Build Competitive Advantage with Customer Intelligence – From data to

dialogue!

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

Manufacturing

“Noisy”“Voluminous”

Data

Why???

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

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

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!

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

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.

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.

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

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