big data & analytics client examples

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© 2013 IBM Corporation Big Data & Analytics Client Examples

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© 2013 IBM Corporation

Big Data & Analytics Client Examples

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Arad Group

Challenge

• Reduce water loss, cut costs, and gain water consumption insight using analytics technology

Solution

• IBM’s analytics algorithms and Arad's Dailog3G and City-Mind software helps identify abnormal water consumption, leak/water waste, and optimized customer interactions.

Benefits

• Reduced false alerts dramatically which decreased unnecessary technician visits

• Water loss reduction saves money and yields proven return on investment

• Email or SMS alerts when a leak is detected, reduces customer service calls

• Faster leak detection cuts water waste and results in better conservation

• Future predictive algorithms expected to help manage resources (i.e. tank levels, pressure, and pump scheduling.)

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ASTRON

Challenge

• Develop a resource- and energy-efficient way for astronomers to analyze unprecedented amounts of unstructured data and gain insight into major astronomical questions

Solution

• A streaming analytics platform running on energy-efficient exascale supercomputing technology.

Benefits

• Accelerates identification of relevant images and data by approximately 99 percent making info. available to astronomers in minutes vs. days

• Streaming analytics platform facilitates daily analysis of over one exabyte of data; twice the amount generated by daily Internet traffic

• Integrates data from 3,000+ dishes and antennas

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Wimbledon Championships

Challenge

• Expand the tournament’s appeal by enhancing the experience for tennis fans with rich, engaging content in real time through social media.

Solution

• IBM analytics capabilities delivered analysis and insights direct to viewers via mobile, TV and web, combining detailed match data with sentiment analysis for the first time.

Benefits

• Gathers large volumes of data in real time (i.e. on-court sensors & scorers, off-court analysts, global social media users)

• Integrates and enriches multiple sources of structured and unstructured data & distributes info. to analytical tools, web sites, mobile apps and TV

• Real-time match analysis reveals winning play patterns; cloud infrastructure predicts demand and automatically adjust resources to match

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C Spire Wireless

Challenge

• Help account reps craft personalized offers and avoid client dissatisfaction.

Solution

• Predictive models examine customer behavior to determine optimal service mix and reduce churn.

Benefits• Enhances customer satisfaction levels, improving the

effectiveness of retention campaigns by 50 percent.

• Boosts cross-selling and up-selling, with sales of select accessories rising by 270 percent.

• Offers fine-grained control over the customer experience, increasing the effectiveness of marketing campaigns.

• Embedded insights empowered reps to optimize customer interactions

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Catalonia Dept of Health

Challenge• Enable physicians, nurses, and social workers

to collaboratively approach chronic disease and increase patient outcomes

Solution

• The new care coordination program delivers an integrated view of patient data

Benefits

• Gain a 360 degree view of each individual, which helps clinicians create care plans tailored to each individual’s needs.

• Reduction in ER visits, hospital readmissions, and program costs.

• Care plans assembled in hours rather than months.

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Consolidated Communications Holdings

Challenge

• Proactively detect unusual network behavior in near real time in order to prevent operational issues before they occur

Solution

• IBM® SmartCloud® Analytics software which uses IBM InfoSphere® Streams software to quickly ingest, analyze and correlate tens of thousands of network metrics every five minutes.

Benefits

• USD 300,000 projected annual cost avoidance

• 100 percent detection of major incidents that occurred

• Advanced warning of problems, far earlier than traditional methods

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City of Toulouse

Challenge

• Find new ways to capture its citizens concerns and use analytics to identify and prioritize urgent issues as well as understand how messages are resonating

Solution

• A social data analytics solution to analyze citizens’ needs posted on public social media, taking into account factors including context, content and sentiment.

Benefits

• Collected and analyzed more than 1.6 million comments enabling the city to identify issues with precision.

• Accelerated its average response time to road-maintenance issues by 93 percent, from 15 days to 1 day.

• Able to identify and address residents’ misconceptions and concerns and gain support of a revitalization project.

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Denihan Hospitality Group

Challenge

• Extract insightful information that allows smart, calculated risks to be taken from improving the guest experience and customizing marketing campaigns to boosting productivity

Solution

• Analytics technology applied to Big Data, allows massive amounts of information to be sifted through to understand why customers choose their hotels and decide to return.

Benefits

• Productivity savings of 40 percent

• Analytics delivers a 300 percent return on investment

• Predictive analytics maximizes overall profitability

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Challenge

• Reduce the amount of violent crime in a two square mile region of the city

Solution

• Uses historical data to create an intelligent database to establish relationships across people, places and other entities

Benefits

• Reduced the amount of crime in a two square mile region by more than 50 percent during a 4 year span

• Able to identify layers of crime, individuals involved in crime, and gang activity

• Able to solve crimes faster and stop urban flight

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Durham NC Police Department

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Shiseido Korea Co., Ltd.

Challenge

• Develop a more targeted approach to marketing leading to increased revenue through cross-sales and up-sales

Solution

• Use behavioral analytics, propensity models and segmentation to predict consumer purchases

Benefits

• 70 percent faster reporting delivers a comprehensive view of consumer behavior and sales performance

• 92 percent reduction in time spent creating direct mail target lists

• 94 percent shorter inventory reordering process leading to better demand fulfillment

• Analysis of customer data uncovers patterns of new insights helping predict trends and demand

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Honda

Challenge

• Improve product quality while minimizing money and time by conducting real-time predictive maintenance

Solution

• Using SPSS software, Honda is able to employ an IBM predictive maintenance and quality solution that leverages powerful analytics and data integration

Benefits

• Provides real-time predictive maintenance so that data streamed directly from the vehicle can be analyzed for performance

• Able to analyze and predict warranty issues which will help prevent future related problems

• Improved asset productivity and process quality

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Fluid, Inc.

Challenge

• Drive conversion, customer satisfaction, and brand loyalty for mass marketers and luxury goods merchants such as The NorthFace, Reebok, Google, Sears, and Clorox

Solution

• Fluid’s cognitive, expert personal shopper app powered by IBM Watson transforms consumer dialogue to make the best possible purchases

Benefits

• Empowers consumers to shop as they choose while helping retailers foster a consumer led experience that turns shoppers into buyers

• Replicates the best of the in-store experience online which is like putting an expert sales associate in the hands of every consumer

• Expected to help consumers make the same query online in plain English to find the perfect items

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