Explore How to Improve Customer Experience with Big Data Analytics. Gain insights from webinar led by Murtaza Nargis Adenwala- Digital Marketing Head, Mahindra Holidays & Resorts.

2. ______ AND ______ BOTH LIE IN THE
DATA
DEVIL ANGEL

3. Why BDA?
 BDA is about extracting valuable
insights from data
 Empowering decision makers with
analytics that will eradicate gut
feel decision-making and enable
the Data Driven organization of
the future.

4. BIG DATA DIAMONDS
 Business Drivers
 At the start of the project it is critical to understand the business drivers for the company in order to focus data
analytics efforts on those goals.
 Is the company in cost-cutting mode and trying to uncover where it is wasting money?
 Is it in growth mode, trying to identify new channels and customers?
 Or is there an area of risk that the company wants to identify and mitigate?
 Insight Objectives
 Clean up legacy data from vendor feeds
 Build new campaign effectiveness reports
 Identify characteristics and behavior of the most loyal customers
 Identify strengths weakness and opportunities
 Identify effectiveness of spends
 Guiding Principles
 Clean and consistent data
 Access to a variety of data
 Speed to market
 Agility
 Ease of use for end-users
 Scalable and high performance platform

5. BIG DATA – VISUALIZATIONS
 Business Intelligence
 Quality of customer experience
 Challenges
 Milestones
 Opportunities
 Strengths
 Weakness
 Strategic direction
 Personalization
 Transformation of digital business
 Predictions
 Segmentation and modeling
 Changing the way consumers buy/oultook towards the brand
 Personify

6. UNSTRUCTURED DATA
 Predict the type of analytics for analysis and driving insights from
unstructured data
 HINTS
 EMAILS, MENTIONS, BLOGS
 Unveil the insights

7. DISCOVER
 Text Analytics
 Identify patterns of customer dissatisfaction/satisfaction or a potential
product defect so that corrective action can be taken before it is too late.
 Relevant information, and transforming it into structured information that
can be leveraged in various ways.
 Sentiments -> image->bond->loyalty

8. Big Data – Mental blocks
 Right people with the right skills
 Getting the technology right
 Identifying right problems
 Process challenges
 Data discovery
 Integrating Big Data platforms with other data platforms in your
environment
 User adoption

9. There are four types of big data BI that
really aid business
 Prescriptive – This type of analysis reveals what actions should be taken. This is the most
valuable kind of analysis and usually results in rules and recommendations for next steps.
 Predictive – Predictive analysis identifies past data patterns and provides a list of likely
outcomes for a given situation. By studying recent and historical data, predictive analysis
presents you with a forecast of what may happen in the future
 Diagnostic – A look at past performance to determine what happened and why. Businesses
use this type of analysis to complete root-cause analyses and uncover patterns in their
business processes. Ultimately, it can help identify factors that directly or indirectly affect
their bottom line.
 The most common application is in social media, where you can use this type of analysis to
assess the number of posts, shares, mentions and fan interactions to figure out what worked
in past campaigns and what didn't.
 Descriptive – What is happening now based on incoming data. To mine the analytics, you
typically use a real-time dashboard and/or email reports.

10. Big Data Analytics
 Webtrends Infinity
 Oracle Big Data
 IBM Big Data

11. HOPE THE SESSION SPARKED VIZUALIZATION
OF HOW BIG DATA IS IMPLEMENTED AND
VALUE IS EXTRACTED