Today
we live in “always on, always connected” world, and use mobile for almost
everything. On our smartphone we get answers to so many questions like “I am
hungry, where can I quickly grab a bite”, “it’s time to buy new car, which
model & dealer I should go for”, “I am excited for my date, where can I get
new outfit”. We do all such research before making any purchase.
Mobile
is now considered as the Swiss Army knife of shopping, used multiple times in
multiple ways during the customers’ paths to purchase.
With
BYOD - bring your own device policies, employees are also flocking to mobile.
If you find that employees have to log off from one application to access data
from another, then you can automate that process. If you’re seeing systems lag
due to overuse at one time of day, perhaps the work can be better distributed
over time. Consider using mobile big data to look at traffic flow and use
patterns to find opportunities to streamline tasks.
On
an average as individual, we have more than 250 mobile moments a day.
More
than 50 percent of companies expect to use mobile as their primary business
platform within three years.
Starbucks has used Mobile for their Digital Transformation as they
process millions of loyalty card transactions and payments via mobile.
Airbus is using mobile technologies to
deliver insight directly to maintenance engineers on the ground, which helps
maximize flight time and revenue.
Some
of the questions they should answer before embarking on mobile:
- Do we really need a mobile app?
- How their website should look on the mobile?
- Should they have different language support considering
geographies of customers?
Smartphones
are becoming key players in the decisions that people make. The businesses they
visit, social activities they engage in, routes they take in traffic and
connections they have to brands are all managed on smartphones. You can also
get a wealth of qualitative data about how people behave from mobile devices,
making them crucial in real-time big-data projects.
Today
mobile is not just a channel but also used to collect data from Internet
of Things & Wearables and
provide insights for next best action.
Some
examples are:
- Your Fitbit device captures the data from your daily
activity, which shows you are not walking enough due to cold weather.
Further it gives you a huge discount from a nearby gym to sign up.
- Sensors
data from telematics or car engines are collected on mobile and Insurance
companies are applying Big
Data Analytics for optimal premium calculation.
- Your Smart home refrigerator sends you alerts for short supply.
- Operate your home from the smartphone
- Apple, PayPal and many others have enabled mobile for
payment.
By
creating and monitoring meaningful metrics like churn rate, customer
satisfaction, operational efficiency, your organization can grow its understanding
of business processes and engage with customers in more meaningful ways.
Mobile
is truly helping in Digital
Transformation!!
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