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How it works: Big data and analytics on cloud

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Overview

Explore a scenario that shows how IBM’s unique data and analytics capabilities on the cloud function to create better outcomes for our clients’ customers.

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Transcript

0:00
the mood
0:04
this is Raj he's looking to shape up after an indulgent winter
0:08
brush searches for healthy living and he's an ad for health and fitness
0:12
products from a local department store where he is to shop
0:15
rush down lose their health and living am and registers has
0:18
old loyalty card which unlocks is basic data and preferences
0:22
with a few swipes that seems to intuitively protect what he's looking
0:26
for
0:26
and its dollar buying it doesn't seem like a normal shopping app but more of
0:30
an experience that relates to him
0:32
now let's take a look behind the scenes at Pt living
0:36
and see how they are working to become righteous trusted health adviser
0:39
Sarah PT livings app developer
0:43
is the brains behind the new app that rice download it
0:46
initially all he could have done was search for products
0:49
Sarah was frustrated because she had no way to integrate customer data
0:53
like the information on russia's loyalty card she also wanted a better way to
0:58
protect what products or services
1:00
he might mean sarah has heard good things about IBM Blue Max
1:04
a cloud-based platform that enables developers to rapidly build
1:08
deploy and manage their applications on it she finds a cloud-enabled database is
1:13
a service
1:14
Kat clouded clotting conserve is the data platform for her apt clout and also
1:19
allow Sarah to build an app that was killed quickly
1:21
and support millions abusers and interactions everything she needs in
1:25
order to integrate
1:26
enterprise data into the app is offered on Blu mix
1:29
for instance Rogers pash up inhabits on VT living dot com
1:34
or information from a heart rate monitor on his instrumented watch
1:39
with a few clicks she easily incorporate this data into our at
1:43
Sarah was able to do this because of a self-service data refinery in the cloud
1:47
com dataworks
1:49
which cleanses information ashey works
1:51
simple to use and secure enough to protect the most personal data
1:55
Sarah can enrich the app further by analyzing Twitter data
1:59
available via bank insights for he do to improve the app experience for millions
2:03
of customers globally
2:05
next Sarah moon the mobile data from a rap
2:08
to end easy to use data warehouse called Dashti be
2:11
to store her large amounts of data and perform analytics
2:15
because the warehouses cloud base and not limited by server space
2:19
she can expand in scale her analytics she receives more sources
2:23
and greater amounts of data Sarah uses analytics to accurately personalized
2:28
russia's experiences
2:29
by matching his searches location and other fitness history
2:33
against PT livings existing offerings I love this allows her to build her apt to
2:39
not only use data-driven insights
2:41
but also to create and share data with her colleagues in real time while
2:45
customers interact
2:46
well the marketing director is known for being very creative
2:50
but wants to know that the offers from its campaigns are refined for each
2:54
customer
2:55
where's previously he's relied on intuition to better target as campaigns
3:00
he signed up for a new cognitive analysis service called what's new
3:03
analytics
3:04
and Watson analytics offers powerful visualizations a customer data
3:08
well can ask questions and natural language and receive guided the answers
3:12
that reveal important drivers and customer behavior
3:14
well doesn't have to wait for his analysts to prepare data
3:18
Watson analytics assesses data quality on the fly
3:21
get the confidence rating for its results now
3:25
will can quickly show was boss how campaigns are performing across customer
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segments
3:29
and because it's on the cloud his whole team can access the information from
3:33
anywhere on any device
3:36
behind-the-scenes mining operations is Colin
3:38
BT lettings data analyst he is suspended eighty percent
3:43
up his time just searching for data he's now using predictive customer
3:46
intelligence on Cloud
3:48
and can spend time finding patterns and insights pristine
3:51
Collins job is to create predictive models that make sense for
3:55
all data coming from customer touch points and services
3:58
data pulled from Sarah zaps web sites and point-of-sale systems
4:03
are used as input so calling can combine historical
4:06
social and contextual data to discover predictive patterns
4:10
Collins models can tell well and marketing which in the top three options
4:14
out of hundreds of offers based on russia's actual behavior patterns
4:18
they incorporate cost-benefit financial information as well
4:22
said the CFR will stay happy and since they were created on the cloud
4:27
all these personalized customer interactions can happen in real time
4:30
when roger is ready to make a purchase working together
4:34
say round will and Colin find clues about how to respond to russia's
4:38
real life needs they can agree data from traditional back-end systems
4:42
social media and devices to better capture and respond to him
4:46
since downloading Sirius app rush has bought several health and lifestyle
4:51
based gadgets to enhance his workouts
4:53
each is connected to VT living sap and generate stated that Sarah
4:57
well and Colin can continue to reference by sharing select personal data with PT
5:02
living
5:03
can Abel's their team to provide a much more robust experience
5:07
the more he does and the more he connects the better his experience
5:11
and the more on target the recommendations he receives
5:14
it's a win-win mmm