The presentation talk about how utilizing the big data can give marketers an edge over its competition, and win customers trust....credits google research

1. " Using Big Data to enhance customer
relationship"

2. Know Thy Customer: Strategies for
Using Big Data to Enhance the
Customer Experience

3. Why Do We Need Big Data?
Big Data doesn't include simply more data, but also new streams of it, collected by
digital sensors on connected devices beyond phones that make up the "Internet of
Things." I(e.g., credit card information), browsing and search history, and data collected
by GPS technology, tools such as artificial intelligence, in-memory computing, pattern
recognition, and highly scalable NoSQL data storage systems can empower marketers
to capture and analyze data on customer activity in real time, and respond as
appropriate

4. Doing Big Data Right
Here are eight strategies for capitalizing on Big
Data to enhance the customer experience

5. 1. Start with what you have
There's no need to throw out the baby with the bathwater. Most mature businesses
have already accumulated years of valuable data and models to represent customer
behavior. Take stock of existing data sets, develop a strategy to improve collection and
analysis models, and build new ones as appropriate.

6. 2. Know what you're looking for
Because Big Data is derived from a multitude of structured and unstructured data
sources, speak with other departments to understand the sources that contain
customer engagement data and information: CRM data, Web analytics,
contact/support center data, and business intelligence systems data.
The old 80/20 rule still applies: Most of the value will come from a relatively small
subset of your data. Part of the analysis process is identifying the most useful data
sets

7. 3. Use your intuition, but also test your assumptions
Computer analysis can only augment human intelligence, and all good processes are
rooted in offline communications with customers and staff. Your staff is still one of
the best sources of information on your customers. Rely on experience to define
business goals, create hypotheses, and identify problems and opportunities.

8. 4. Understand your options
To understand how its customers consume competing services, such as
Hulu, on its networks, cable giant Time Warner uses sophisticated
correlation solutions that meld publicly available data with local viewing
habits to help clients launch custom campaigns tailored to geographic or
demographic micro-segments of users

9. 5. Home in on the customer journey
Marketers often lean on customer journey maps to identify areas for improving the
customer experience. Big Data has the opportunity to help replace static, descriptive
models of the customer journey with dynamic, prescriptive dashboards that respond in
real time to the slightest shift in customer behavior

10. 6. Empower the business user
The proliferation of data sources can increase the burden on business users when
paired with too many tools and user interfaces. Manage data centrally and use a
single tool for creating online experiences that can integrate content from a variety
of sources and display real-time analysis from more than one platform

11. 7. Blend data with content
Content marketing has emerged as a top strategy for marketers to enhance
customer engagement. Data collected on digital channels and social
networks can provide valuable insight into the types of information most
engaging to audiences. Combine actionable data with content, and apply
those insights directly

12. 8. Understand the limitations
Big Data is not a panacea for all problems, and it can't replace human intuition
and intervention.
Keep in mind, too, that more data doesn't necessarily mean better data—and that
the more there is, the more difficult it might be to identify the information that
really matters.

13. How to Use Big Data to Improve
Your Company’s Customer Service

14. 1.Keep Customers happy
Providing high quality customer service is vital to keep customers happy.
Knowing what they want and need from you is the first step in making your
services as top-notch as possible. To fully understand your customer base,
you’ll need to conduct in-depth research

15. 2.Product Returns
Product returns can seriously damage the trust and confidence of
customers. The complete history of all returns should be stored and
categorized to be better understood

16. 3.Spam-Like Emailing
Regular client contact via automated emails helps maintain customer
relationships. It can also spark interest in new or old products and services.
However, mistakes in the frequency and content of these emails may cause
negative reactions. Clients may eventually view your emails as spam

17. 3 ways companies are using big data
to help their customers

18. 1.Predict what customer wants
Remember when that shopkeeper had your loaf of bread all wrapped up and
ready to go before you even told her that’s what you wanted? Providing that same
service for online shoppers based on their past behavior is exactly how companies
are using big data to increase customer satisfaction

19. 3. Improve customer service interactions
For many companies, leveraging big data is the hot ticket to more effective
marketing and product development. But those who are using data to improve
their customer service are taking it one step further

20. 4. Identify customer pain points and solve them
Most companies know what some of their customers’ pain points are (if they don’t,
they aren’t paying attention to their customers) @ Delta airlines, the “Track My
Bag” feature on their app keep tabs on their luggage as it makes its way to the final
destination

21. It starts — but doesn’t end with — big data
Companies that use big data well excel in sorting through the white
noise of data, filtering out the relevant information and drawing insight
from its analysis

22. Twitter Handle: @vkyayan
http://in.linkedin.com/pub/ayan-chatterjee/99/401/a76/
Ayan Chatterjee
Phone: +918652220925
Vky.ayan@gmail.com