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To continue innovating in the competitive smartphone industry, the
Motorola Mobility Service and Repair organization created a novel
approach to capturing and distilling the most meaningful market
data. Motorola Mobility’s custom solution, designed and built in
partnership with the data science experts at Datascope, rapidly
aggregates and algorithmically analyzes smartphone customer
feedback data from a broad spectrum of Internet sources, including
consumer sites, user forums, media outlets, social media and product
review sites. With a new perspective on product performance,
Motorola Mobility gains immediate insight into customer satisfaction
and the intelligence needed to rapidly respond to engineering issues
that could otherwise harm brand perception and loyalty.
Motorola Mobility Follows the Data
to Engineer Better Smartphones
“We see no limit to this tool.
It lets us keep a pulse on our
customers in a way we actually
understand, and with accuracy
we never thought possible before
we worked with Datascope.
We look forward to expanding it
across our entire product line.”
–	Ahmad Shabazz, Sr. Manager of Business 	
Operations & Strategy, Motorola Mobility
case study
case study: Motorola
Big Data for Humans: Transforming
Data into Simple Business Insights
By thinking differently about how market data
can be used, Datascope and Motorola Mobility
built a unique analytics and visualization
engine that distills assessments of product
performance from a mess of hundreds of
millions of phrases and Internet references from
around the world. The custom tool created
by Datascope gives the Motorola Mobility
Service and Repair organization the means to
immediately identify and address issues on the
manufacturing lines and directly with consumers.
Beyond aggregating and analyzing product
performance data, the solution uses custom-
designed algorithms to assess customers’
emotional reactions: How do customers like/
not like the phone? What are they saying
about the phone? Are they recommending or
disparaging the phone? Culled from vast data
sources, this compact and crystallized insight
provides opportunities for customer support
and marketing teams to engage directly
with customers, improving satisfaction and
strengthening brand loyalty. The data-driven
tool complements the Service and Repair team’s
intensive focus on reshaping the consumer
service experience worldwide.
Bringing Data Science to Smartphone
Engineering: How It Began
Motorola Mobility first came to Datascope in
their search for data science expertise that
could help transform the Big Data potential
of digital consumer insights into a tool for
better addressing smartphone product issues
and customer needs. “We wanted to minimize
service and repair failures and believed we
could become more proactive in addressing
our customers’ needs following a smartphone
launch,” said Ahmad Shabazz, Sr. Manager of
Business Operations & Strategy at Motorola
Mobility. “We turned to Datascope to find
out if it was possible to leverage real-time
conversations among smartphone users across
the Web to know immediately when they
encountered problems.”
Wanting to build on the Reverse Logistics
team’s recent studies around consumer
behavior that were released in June 2014
with B2X, the Motorola Mobility Service and
Repair organization researched and found
that existing tools could not accomplish their
goals. In acknowledging that customers were
posting valuable product insight on forums,
in comments, and on social media from the
moment a new smartphone release became
known to the public, Motorola Mobility made
aggregating and understanding customer
data at a deeper level its primary objective.
By gauging consumer sentiment and providing
feedback to service engineering, Motorola
Mobility is unlocking the value of readily
available data.
Ideation Workshops: The Foundation
of Human-Centered Data Science
The Motorola Mobility engagement began
like many Datascope projects, with an ideation
workshop. A collaborative and human-centered
engagement, the ideation workshop brought
together members of Motorola Mobility
engineering, R&D, IT, marketing and leadership
teams with Datascope data scientists. Datascope
guided the Motorola Mobility team through
creative brainstorming exercises that explored
Motorola Mobility’s big goal of engineering better
smartphones and applied data science to consider
and frame the many ways it could be achieved.
Beyond the Hype of Big Data:
Determining What Is Possible
Throughout the course of the three-day ideation
workshop, participants shared numerous ideas
“We wanted to learn if we could
extract actionable insight from
this giant, global vat of consumer
and market chatter that would
help us to rapidly deliver fixes
or make improvements in the
engineering process.”
more >>
contact
information@datascopeanalytics.com if you have an inquiry.
work@datascopeanalytics.com if you are interested in joining us.
www.datascopeanalytics.com
© 2014 Datascope Analytics
follow meet
180 W. Adams, Suite 801
Chicago, IL 60603
and hopes for how data could be used to
optimize smartphone engineering and Motorola
Mobility’s marketplace success. The Datascope
team worked with Motorola Mobility through
each consideration and idea, clarifying what was
and was not feasible to achieve. By the end of the
three-day workshop, Datascope and Motorola
Mobility outlined exactly what they knew they
could do using consumer and market data:
•	Identify specifics about product problems that
engineering can use to fix in imminent product
releases and that R&D can use to improve
future product development
•	Identify user issues on existing products that
can be addressed quickly
•	Identify and assess user sentiments related to
the product and brand in order to influence
marketing and customer service efforts
From Questions to Answers: Valuable
Customer Sentiments Identified from
Shared Insights
The Datascope design team, led by PhD-level
data scientists, finalized wireframes and built the
custom tool that would collect and streamline
customer insights. To extract worthwhile product
and customer insights from an expansive and
dynamic data set, Datascope developed custom
algorithms for categorizing all inputs. The tool
was well received internally primarily because
it provided the opportunity to take a proactive
versus reactive approach and address issues
before they bubbled to the surface.
In one case, customers were struggling to
use voice and data features at the same time
with Motorola Mobility’s RAZR M. Immediately
aware of the issue as a result of the solution’s
strategic data capture, the Motorola Mobility
customer support team posted responses to
customers in every forum and site where the
issue arose, rapidly eliminating a potential
customer satisfaction problem while boosting
brand loyalty. In subsequent releases of the
phone, Motorola Mobility has relied on the
solution to support and address customer issues
while giving engineering teams the knowledge
needed to improve products and implement
fixes right away.
Future Plans for Data-Driven Product
Development
With the success supporting smartphone
launches, Motorola Mobility now uses the
solution as an integral part of the Motorola
Mobility product development and optimization
process. The data captured is actively being
utilized and communicated via the Supply Chain
Reverse Logistics Control Tower, an innovative
internal team focused on overseeing the supply
chain process. Starting with the Moto 360,
Motorola Mobility will use the platform to assess
performance and sentiment for products outside
of smartphones. “We see no limit to this tool,”
said Ahmad. “It lets us keep a pulse on our
customers in a way we actually understand, and
with accuracy we never thought possible before
we worked with Datascope. We look forward to
expanding it across our entire product line.”
“The application provides
meaningful insights on what
customers experience with our
products and helps serve as a
leading indicator to a lot of our
operational metrics.”
–	Jeremy Ong, Director of Business 		
Intelligence & Strategy at Motorola Mobility
case study: Motorola

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datascope-motorola

  • 1. To continue innovating in the competitive smartphone industry, the Motorola Mobility Service and Repair organization created a novel approach to capturing and distilling the most meaningful market data. Motorola Mobility’s custom solution, designed and built in partnership with the data science experts at Datascope, rapidly aggregates and algorithmically analyzes smartphone customer feedback data from a broad spectrum of Internet sources, including consumer sites, user forums, media outlets, social media and product review sites. With a new perspective on product performance, Motorola Mobility gains immediate insight into customer satisfaction and the intelligence needed to rapidly respond to engineering issues that could otherwise harm brand perception and loyalty. Motorola Mobility Follows the Data to Engineer Better Smartphones “We see no limit to this tool. It lets us keep a pulse on our customers in a way we actually understand, and with accuracy we never thought possible before we worked with Datascope. We look forward to expanding it across our entire product line.” – Ahmad Shabazz, Sr. Manager of Business Operations & Strategy, Motorola Mobility case study
  • 2. case study: Motorola Big Data for Humans: Transforming Data into Simple Business Insights By thinking differently about how market data can be used, Datascope and Motorola Mobility built a unique analytics and visualization engine that distills assessments of product performance from a mess of hundreds of millions of phrases and Internet references from around the world. The custom tool created by Datascope gives the Motorola Mobility Service and Repair organization the means to immediately identify and address issues on the manufacturing lines and directly with consumers. Beyond aggregating and analyzing product performance data, the solution uses custom- designed algorithms to assess customers’ emotional reactions: How do customers like/ not like the phone? What are they saying about the phone? Are they recommending or disparaging the phone? Culled from vast data sources, this compact and crystallized insight provides opportunities for customer support and marketing teams to engage directly with customers, improving satisfaction and strengthening brand loyalty. The data-driven tool complements the Service and Repair team’s intensive focus on reshaping the consumer service experience worldwide. Bringing Data Science to Smartphone Engineering: How It Began Motorola Mobility first came to Datascope in their search for data science expertise that could help transform the Big Data potential of digital consumer insights into a tool for better addressing smartphone product issues and customer needs. “We wanted to minimize service and repair failures and believed we could become more proactive in addressing our customers’ needs following a smartphone launch,” said Ahmad Shabazz, Sr. Manager of Business Operations & Strategy at Motorola Mobility. “We turned to Datascope to find out if it was possible to leverage real-time conversations among smartphone users across the Web to know immediately when they encountered problems.” Wanting to build on the Reverse Logistics team’s recent studies around consumer behavior that were released in June 2014 with B2X, the Motorola Mobility Service and Repair organization researched and found that existing tools could not accomplish their goals. In acknowledging that customers were posting valuable product insight on forums, in comments, and on social media from the moment a new smartphone release became known to the public, Motorola Mobility made aggregating and understanding customer data at a deeper level its primary objective. By gauging consumer sentiment and providing feedback to service engineering, Motorola Mobility is unlocking the value of readily available data. Ideation Workshops: The Foundation of Human-Centered Data Science The Motorola Mobility engagement began like many Datascope projects, with an ideation workshop. A collaborative and human-centered engagement, the ideation workshop brought together members of Motorola Mobility engineering, R&D, IT, marketing and leadership teams with Datascope data scientists. Datascope guided the Motorola Mobility team through creative brainstorming exercises that explored Motorola Mobility’s big goal of engineering better smartphones and applied data science to consider and frame the many ways it could be achieved. Beyond the Hype of Big Data: Determining What Is Possible Throughout the course of the three-day ideation workshop, participants shared numerous ideas “We wanted to learn if we could extract actionable insight from this giant, global vat of consumer and market chatter that would help us to rapidly deliver fixes or make improvements in the engineering process.” more >>
  • 3. contact information@datascopeanalytics.com if you have an inquiry. work@datascopeanalytics.com if you are interested in joining us. www.datascopeanalytics.com © 2014 Datascope Analytics follow meet 180 W. Adams, Suite 801 Chicago, IL 60603 and hopes for how data could be used to optimize smartphone engineering and Motorola Mobility’s marketplace success. The Datascope team worked with Motorola Mobility through each consideration and idea, clarifying what was and was not feasible to achieve. By the end of the three-day workshop, Datascope and Motorola Mobility outlined exactly what they knew they could do using consumer and market data: • Identify specifics about product problems that engineering can use to fix in imminent product releases and that R&D can use to improve future product development • Identify user issues on existing products that can be addressed quickly • Identify and assess user sentiments related to the product and brand in order to influence marketing and customer service efforts From Questions to Answers: Valuable Customer Sentiments Identified from Shared Insights The Datascope design team, led by PhD-level data scientists, finalized wireframes and built the custom tool that would collect and streamline customer insights. To extract worthwhile product and customer insights from an expansive and dynamic data set, Datascope developed custom algorithms for categorizing all inputs. The tool was well received internally primarily because it provided the opportunity to take a proactive versus reactive approach and address issues before they bubbled to the surface. In one case, customers were struggling to use voice and data features at the same time with Motorola Mobility’s RAZR M. Immediately aware of the issue as a result of the solution’s strategic data capture, the Motorola Mobility customer support team posted responses to customers in every forum and site where the issue arose, rapidly eliminating a potential customer satisfaction problem while boosting brand loyalty. In subsequent releases of the phone, Motorola Mobility has relied on the solution to support and address customer issues while giving engineering teams the knowledge needed to improve products and implement fixes right away. Future Plans for Data-Driven Product Development With the success supporting smartphone launches, Motorola Mobility now uses the solution as an integral part of the Motorola Mobility product development and optimization process. The data captured is actively being utilized and communicated via the Supply Chain Reverse Logistics Control Tower, an innovative internal team focused on overseeing the supply chain process. Starting with the Moto 360, Motorola Mobility will use the platform to assess performance and sentiment for products outside of smartphones. “We see no limit to this tool,” said Ahmad. “It lets us keep a pulse on our customers in a way we actually understand, and with accuracy we never thought possible before we worked with Datascope. We look forward to expanding it across our entire product line.” “The application provides meaningful insights on what customers experience with our products and helps serve as a leading indicator to a lot of our operational metrics.” – Jeremy Ong, Director of Business Intelligence & Strategy at Motorola Mobility case study: Motorola