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Data Analytics as a Service
STANLEY WANG
SOLUTION ARCHITECT, TECH LEAD
@SWANG68
http://www.linkedin.com/in/stanley-wang-a2...
What is Data Analytics as a Service (DAaaS)?
Benefits of DAaaS to Business
• The provision of DAaaS analytics and operatio...
DAaaS Concept
Functional Elements of a DAaaS Solution
Analytics in Cloud Back End Components
Cloud Environment of a DAaaS Solution
Runtime Environment - the execution platform of the DAaaS solution.
Workbench Enviro...
Analytics Cloud for Industry Solution Services
• An industry-leading agile, simple and flexible Analytics Cloud.
• Ingest ...
Architecture of Smart Analytics Service
• High level architecture of Ficus Analytics Cloud.
• Dynamic large-scale IT infra...
Big Data AaaS Business Cases
• In the Oil & Gas sector, companies
could deploy predictive maintenance
solutions for device...
Units Sold, Discounts,
and Profit before Tax
10
Embrace Big Data Across Business
Revenue and Target by
Region
Departments
...
Recommen
da-tion
engines
Smart
meter
monitoring
Equipment
monitoring
Advertising
analysis
Life
sciences
research
Fraud
det...
Insurance companies can help
(and some have already
started helping) their
customers with truly
personalized insurance pla...
The vast amount of current and ever-growing
customer purchase, rating and click data can all
be collected and managed with...
Retailers – whether large, small, online or in-store –
can improve margins with more detailed pricing
analysis. When a cus...
Improve marketing results by combining public
demographic data, browser site history (or past
store purchases for store or...
To reduce churn, know each customer
individually to identify warning signs. With a
data analytics solution, demographics a...
Legal cases may
necessitate management
of a great number of
documents that must be
identified, collected,
stored, processe...
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Data analytics as a service

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Data analytics as a service

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Data analytics as a service

  1. 1. Data Analytics as a Service STANLEY WANG SOLUTION ARCHITECT, TECH LEAD @SWANG68 http://www.linkedin.com/in/stanley-wang-a2b143b
  2. 2. What is Data Analytics as a Service (DAaaS)? Benefits of DAaaS to Business • The provision of DAaaS analytics and operations offers small and mid size organizations an alternative to perform business analytics, just in time, rather than building on premise deployment infrastructure. • Analytics in Cloud can ease the adoption of advanced analytic capabilities over the heterogeneous data sources, letting companies benefit of the insights derived from it. • Analytics as a Service is becoming a valuable option for businesses to bypass upfront new capital costs and adopt new business process requirements easily.
  3. 3. DAaaS Concept
  4. 4. Functional Elements of a DAaaS Solution
  5. 5. Analytics in Cloud Back End Components
  6. 6. Cloud Environment of a DAaaS Solution Runtime Environment - the execution platform of the DAaaS solution. Workbench Environment – a set of tools to customize the solutions to the specific needs of the end-user.
  7. 7. Analytics Cloud for Industry Solution Services • An industry-leading agile, simple and flexible Analytics Cloud. • Ingest data flowing in from various sources. • Form the foundation of smarter solutions services. • Provide rapid time-to-value, pay-as-you-go model to reduce upfront capital and operational expense .
  8. 8. Architecture of Smart Analytics Service • High level architecture of Ficus Analytics Cloud. • Dynamic large-scale IT infrastructure orchestrator. • Big Data ingestion and analytics for prediction, optimization and visualization.
  9. 9. Big Data AaaS Business Cases • In the Oil & Gas sector, companies could deploy predictive maintenance solutions for device fleets in remote installations, without deploying very complex solutions in-house. The solution could be rented for short- term specific analysis. • In the Electrical Utilities sector, DAaaS is the basis of a specific solution to detect Non-Technical Losses, which cover among others, fraud detection. The customer can upload Smart Meter information into the system where it is processed by specific analytical services created and configured by experts in this kind of business analysis. • In Smart City solution, the DAaaS service provides analytic capabilities for the very different data sources that are provided by the city, like the sensor networks deployed in the city. • In Retail, a DAaaS model can be used for campaign management and customer behavior and customer activities. • In Manufacturing, DAaaS can use the ever growing data coming from connected fabrication machines and when matched with demand it can allow optimal production with minimizing scrap and redundancies. Data Analytics as a Service, as a general analytic solution, has potential use cases in very different vertical sectors.
  10. 10. Units Sold, Discounts, and Profit before Tax 10 Embrace Big Data Across Business Revenue and Target by Region Departments Headcount XT2000 Status List Show Only Problems Indicator Preliminary Budget Materials and Packaging Review Book Advertising Slots Fall Showcase Event Analysis End User Survey Technical Review Milestone Status 2M 1.5M 1M 0.5M 0M Discounts(Millions) 50K 60K 70K 80K 90K 100K 110 Product A Product D Product C Product F Product G 0 10 20 Accounting Administrati… Customer… Finance Human… IT Marketing R&D Sales Sales Improve revenue performance HR Maximize employee engagement Marketing Build deeper customer relationships Finance Impact your company’s bottom line 0 5 10 15 0 5 10 15 (Thousands) Nort h Sout h Region: South Target: 13450 Highlighte d: 4900 Revenue Target
  11. 11. Recommen da-tion engines Smart meter monitoring Equipment monitoring Advertising analysis Life sciences research Fraud detection Healthcare outcomes Weather forecasting for business planning Oil & Gas exploration Social network analysis Churn analysis Traffic flow optimizatio n IT infrastruct ure & Web App optimizatio n Legal discovery and document archiving Big Data Analytics is needed Everywhere Intelligenc e Gathering Location- based tracking & services Pricing Analysis Personalize d Insurance
  12. 12. Insurance companies can help (and some have already started helping) their customers with truly personalized insurance plans tailored to their needs and risks Personalized Insurance $1,600/y r. US national avg. car Personalized policies can reduce costs & better meet customer needs Insurance Companies can collect real-time data from in-car sensors and combine it with geolocation and in-house systems. With information such as distance and speed, provide personalized insurance offers based on driving amount, risk, and other factors, for a truly personalized plan that may often save drivers money
  13. 13. The vast amount of current and ever-growing customer purchase, rating and click data can all be collected and managed with an Hadoop- based solution, to pinpoint preferences based on purchase history and demographics, and be able to serve useful and compelling cross-sell and up-sell recommendations. Recommendation Engines Significantly improve up- sell and cross- sell opportunities Retailers can use customer purchase & rating information to serve recommendations to current customers, based on similarities across many dimensions 158 Items sold/second by Amazon.com on 11/29/2010 (Cyber Monday)
  14. 14. Retailers – whether large, small, online or in-store – can improve margins with more detailed pricing analysis. When a customer is in range of a transaction (either in the store, online or perhaps passing by), offer personalized offers, real-time price quotes, or other frequent-buyer perks to help bring more customers to the store and improve repeat business. Pricing Analysis Significantly improve sales and customer satisfaction Retailers can use customer past purchase, preference, and demo-graphic information to serve real-time custom pricing, instant discounts when near the store. up to 30% Additional price Mac users accepted for travel from
  15. 15. Improve marketing results by combining public demographic data, browser site history (or past store purchases for store or coupon campaigns), and advertising history into meaningful data analytics that serves relevant advertisements and provides tools for analysis and reporting. Advertising Analysis Improve return on marketing with improved advertisemen t response Marketers can use current page information, past purchase, preference, and demographic information to serve real-time, compelling advertisements that are more likely to be viewed. 8% Click through rate with targeted Hotmail ads
  16. 16. To reduce churn, know each customer individually to identify warning signs. With a data analytics solution, demographics and history data can be reviewed and monitored, and proactive efforts can be made to avoid customer churn before it happens. Customer Churn Analysis Reduce churn with proactive customer campaigns Customers churn happens for a lot of reasons, including quality, service, or feature issues, or new offers from competitors. Individual analysis can help reduce each. 9% Rate of wireless subscribers switching services in Europe and USA, 2009
  17. 17. Legal cases may necessitate management of a great number of documents that must be identified, collected, stored, processed and reviewed, then turned over to opposing counsel Legal Discovery and Document Archiving Large organizations and governments collect a vast number of documents that need to be shared internally or publicly. These need to be organized, searchable, and periodically reviewed Find docu- ments more quickly; don’t miss needed information Manage documents and content with a data warehouse & analytics solution to find the right content based on searches, semantics analysis and pattern matching >50% Of organizations do not track legal hold processes (US, 2012)

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