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Welcome to… The Future of Analytics In Action IBM Cloud Data Services © 2015 IBM Corporation Goals for Today • Share the cloud-based data management and analytics technologies that are enabling rapid development of new mobile applications • Discuss examples of how these technologies are being applied to transform a diverse set of industries • Hear from you about your most pressing challenges to harness the data you have to provide additional value for your customers 2 © 2015 IBM Corporation Today’s Agenda 8:30 am to 9:00 am 9:00 am to 10:00 am 10:00 am to 10:30 am 10:30 am to 10:45 am 10:45 to 11:15 am 11:15 to 11:45 am 11:45 am to 12:00 pm 12:00 pm to 1:00 pm 3 Registration and Continental Breakfast The Future of Analytics in Action: The Art of the Possible Demonstration Break Real World Insights: Morningstar & Cloudant Open Q&A Wrap-Up Lunch and Networking © 2015 IBM Corporation The Future of Analytics In Action: The Art of the Possible © 2015 IBM Corporation Why the Journey to Cloud-based Analytics? FASTER INNOVATION BETTER IT ECONOMICS LOWER RISK OF FAILURE Instant provisioning saves weeks of data center setup Pay as you go with no big up-front capital investments Fully managed 24x7 so you can focus on new development MISSION 5 To provide the best experience for developers with a comprehensive set of rich, integrated cloud data services covering content, data and analytics. © 2015 IBM Corporation The Future of Analytics – From Our DBaaS Offerings… Transactional DBaaS 6 Analytic DBaaS Cloudant SQL DB dashDB BigInsights on Cloud NoSQL DBaaS Relational DBaaS Relational Data Mart Enterprise Hadoop © 2015 IBM Corporation IBM voted #1 cloud provider by enterprise users “Who would you choose as your cloud provider?” Amazon Web Services Microsoft IBM Based on an April 2015 451 Research survey of more than 2,000 enterprise cloud users - commissioned by Microsoft 7 © 2015 IBM Corporation The IBM Cloud § IBM SoftLayer Cloud Layer § “Bare-metal” consistently outperforms virtualized - Faster, more consistent so you can do more with less SoftLayer § Dedicated hardware § 40 data centers worldwide AWS 8 © 2015 IBM Corporation IBM BlueMix Bluemix is an open-standard, cloud-based platform for building, managing, and running applications of all types (web, mobile, big data, new smart devices, and so on). Go Live in Seconds The developer can choose any language runtime or bring their own. Zero to production in one command. APIs and Services A catalog of IBM, third party, and open source API services allow the developer to stitch an application together in minutes. On-Prem Integration Build hybrid environments. Connect to on-premise assets plus other public and private clouds. DevOps Development, monitoring, deployment, and logging tools allow the developer to run the entire application. Layered Security IBM secures the platform and infrastructure and provides you with the tools to secure your apps. Flexible Pricing Sign up in minutes. Pay as you go and subscription models offer choice and flexibility. 9 © 2015 IBM Corporation IBM can help your organization deliver new insights at every level, and in every department, in your organization. Have real time visibility into stock levels Optmize staffing mix, reduce employee turnover Operations Human Resources Reduce churn by knowing what the cusotmers are saying Product Development Customer Service IT Sales Access key customer information in the office and on the road Marketing 10 Work on scenarios to align development resources Combine personal and corporate data to create fresh insights Provide discovery and planning tools to reduce errorFinance prone spreadsheet work Drive growth and profit through resource alllocation Manage rolling comply with confidence expenses © 2015 IBM Corporation IBM’s Latest Cloud Analytics Offerings and How They’re Changing Analytics & Data Management for our Clients Today. 11 © 2015 IBM Corporation IBM Cloudant 12 © 2015 IBM Corporation IBM Cloudant § Cloudant is a data management solution that leverages the availability, elasticity, and reach of the cloud to create a global data delivery network that enables applications to scale larger and remain available to users wherever they are. For apps that need: ² Elastic scalability ² High availability ² Data model flexibility ² Data mobility ² Text search ² Geospatial Available as: ² Fully managed DBaaS ² On-premises private cloud ² Hybrid architecture 13 © 2015 IBM Corporation IBM Cloudant – Supporting Applications at Web Scale § Cloudant helps make your web and mobile applications more scalable and more available to users wherever they are • Operational JSON NoSQL data store Powerful DBaaS With custom coding that enables unique data needs to be developed in days, not weeks • RESTful CouchDB API • Advanced APIs • Replication & Sync • Incremental MapReduce • Geospatial • Lucene Full-text Search • Scalable, Highly Available Performance with cross-data center data distribution & fail over • Geo load balancing • Offline access to the data 14 • Available as a fully managed cloud service and an on-premises software product – enabling hybrid deployments © 2015 IBM Corporation Payment Processor leverages the advanced geospatial capabilities of Cloudant to build a new mobile application 15 The combination of Cloudant’s advanced geospatial capabilities, security, and managed service give Comdata a competitive advantage in terms of the experience they can deliver to their end users © 2015 IBM Corporation IBM Internal Use Only Use Case: Comdata Company Background - Payment processor and issuer of fleet fuel cards headquartered in Tennessee. Need - A mobile app that delivers a better experience for end users of Comdata’s payment processing system. Success Criteria - Show locations of vendors that use Comdata’s payment processing, enable offline usage, and optimize routes. - Complete within 20 months Solution & Results - A new mobile application launched in 9 months! - Advanced geospatial capabilities give Comdata a competitive advantage - Cloudant’s managed service means Comdata can keep overhead costs down 16 20 months 9 months - Comdata avoids the costs, overhead, or latencies of ETL by with the schema flexibility Cloudant’s JSON document store provides © 2015 IBM Corporation Use Case: Comdata - Reference Architecture Mobile Devices Local Storage MobileFirst on Softlayer Cloudant User profiles, preferences, point of interest, etc. MobileFirst adapter Geolocation information originally stored in DB2 Comdata Firewall 17 Relational Database © 2015 IBM Corporation An Insurance Company uses Cloudant Local to create a persistent data store to manage customer policy information. Having a need to have real-time visibility to customer data from different Systems of Record, the Insurance Company values Cloudant’s ability to manage data from different systems and navigate the data with embedded search capabilities. 18 © 2015 IBM Corporation IBM Internal Use Only Use Case: Insurance Company Company Background - Global insurance company with annual revenues of over $40B and locations in the US, Europe, Latin America, China, and more Need - Improve customer experience for roughly 40 million customers by enabling the ability to efficiently search all data such as: personal information, policies, claims, etc. Success Criteria Cloudant Managed or Local deployment - To manage and search data from different Systems of Records without having to design a web app with a schema-first mentality - A solution that can be managed on-premises for sensitive customer information but still have the ability to move to the Cloud in the future Solution & Results - Implemented Cloudant Local on-premises and then will move some applications to a public cloud deployment - Provided the ability to manage all the data in one location while enabling the full-text search capabilities • Previously, the company struggled using SOLR with their existing solutions. 19 JSON Auto Policy JSON Life Policy JSON Home Policy © 2015 IBM Corporation 20 © 2015 IBM Corporation IBM dashDB § Fast, fully managed, cloud data warehouse that leverages integrated analytics to deliver answers as fast as you can think. dashDB’s unique built-in analytics, R predictive modeling and business intelligence tools free you to analyze your data to get precise insights, quicker. § Built-in performance with in-memory technology § Predictive modeling built into the database (linear regression, k-means clustering, Esri compatible, and more) § Works with an ecosystem of apps and tools § Integrated security and maintenance 21 © 2015 IBM Corporation The Future of Cloud Based Analytics: A foundation with dashDB § Fully managed data warehouse in the cloud § In-memory acceleration capabilities with columnar technology, advanced compression, and buffer pool technology § In-database predictive analytics & R-support § Integrated with Cloudant for analytics on JSON data from web & mobile apps § True “Load & Go” approach – no need to predefine indexes § Built-in Netezza analytic algorithms Coming in 2Q! § Enhanced Netezza Compatibility § Oracle compatibility mode § MPP 22 BLU ! Acceleration! Netezza ! In-Database Analytics! Cloudant Database ! as a Service! © 2015 IBM Corporation A Food Distributor had been using Oracle but required better insight into streamlining sales operations through their various channels/businesses 23 © 2015 IBM Corporation IBM Internal Use Only Use Case: Food Distributor Company Background - An international food distributor with zero analytics or insight around financial data from different areas of the business Need - Required better insight into streamlining sales operations through their various channels (consumer, wholesale, pet food, retail)] Success Criteria - - Traditionally, an Oracle Shop, but the marketing department brought in and required integration with Tableau Someone to perform rapid provisioning of the data warehouse on the cloud without requiring any DBA expertise Solution & Results - They were able to access the data seamlessly using Tableau. - Without a DBA, they were able to load data into the dashDB data warehouse and used Watson Analytics in along with dashDB to perform even deeper analytics 24 © 2015 IBM Corporation Use Case: Food Distributor– Architecture Details Softlayer Dallas Public Cloud The company’s team created their own scripts to load the data Oracle database environment • Arkansas datacenter • Financial data 25 © 2015 IBM Corporation Watson Analytics 26 © 2015 IBM Corporation Watson Analytics Single Interface … Explore > Predict > Assemble Quick start intuitive interface Guided discovery & visualization Easy data upload and search capabilities 27 Key business driver insights Natural language dialogue Dashboard and storytelling authoring © 2015 IBM Corporation A Car Manufacturer requires a data management or analytic solution to understand campaign effectiveness. 28 © 2015 IBM Corporation IBM Internal Use Only Use Case: Car Manufacturer Company Background - A multinational car manufacturer is equipping their 2015 and later models with an "interactive" infotainment system. Need - A data management or analytic solution to understand campaign effectiveness. Success Criteria - Take unstructured data, automatically format it, and report against it in the cloud, allowing the company’s marketing team & merchants to segment customers and measure campaign effectiveness. Solution & Results 29 - Provisioned a prototype environment of dashDB with Cloudant in 24 hours illustrating the speed and agility possible - Flexibility and power of the IBM portfolio was critical for the project’s success - The car manufacturer is getting a lot of value and analytics from their infotainment systems. © 2015 IBM Corporation Use Case: Car Manufacturer– Architecture Details Vehicle Data - Bulk load of 6-8 million accounts, 28 millions cars (~1TB of data) - Deltas continued to be load for user/vehicle Other Data Sources data IBM Datastage - Softlayer Dallas - Data movement into SFDC and into dashDB JSON data to relational Cloudant Schema Discovery Protocol 30 IBM Cloudant - Softlayer Dallas - 3 node production cluster - 3 node dev cluster IBM dashDB - Softlayer Dallas - 4 TB production system - 4 TB dev system © 2015 IBM Corporation IBM BigInsights on Cloud 31 © 2015 IBM Corporation IBM BigInsights on Cloud § Provision enterprise-scale, multi-node clusters on the cloud to meet your business needs. Access your provisioned clusters for simple database transactions, to augment your data warehouse, or to perform rich analytics.. With BigInsights on Cloud, our clients can manage less and analyze more § For Production and POC deployments at scale in the cloud § Delivers flexibility and efficiency with subscription pricing § Scales to meet spikes in demand without on-premise infrastructure § Drives enterprise-class, complex analytics on Big Data sets § Available via the IBM Cloud Marketplace and Bluemix 32 © 2015 IBM Corporation BigInsights on Cloud – Enterprise Hadoop as a Service Big Data – easier, faster, richer IBM BigInsights Cloud • Analyze petabytes of any kind of data on elastic compute clusters • Easy to integrate • Connect common 3rd party BI tools 33 Enterprise Capabilities • Native Hadoop enriched with: • Faster performance • ~4x faster than open source Hadoop • Visualization tools • Built-in R, streaming & text analytics • Data protection & governance Development Tools Advanced Engines Connectors Workload Optimization Administration & Security Open source • Easy to adopt • Provisioned, hosted, scaled for you Visualization & Exploration Open source Hadoop components © 2015 IBM Corporation A Pharmaceutical Company embarks on treatment analytics with an IBM cloud-based solution 34 © 2015 IBM Corporation IBM Internal Use Only Use Case: Pharmaceutical Company Company Background - A globally distributed $10+ billion pharmaceutical company Need - An analytics platform to execute against a time-sensitive project focused on the benefits of a pharmacological treatment of obesity - Analysis to be performed on Electronic Medical Records (EMR) data that the organization owns, but cannot fully analyze given system constraints. Success Criteria - - Apply big data technologies and analytical techniques without having to manage an analytical environment on-premises Gain the necessary insights regarding the relevance of pharmacological treatment of obesity, which would allow the organization to build an economic model for obesity treatments. Solution & Results - The environment was provisioned and made available to the customer in less than 48 hours to begin executing against the project - An analysis to inform discussion about the relevance of pharmacological treatment of obesity, and to obtain costs estimates to build an economic model for obesity treatments. 35 © 2015 IBM Corporation IBM Cloud-based analytics summary 100s of Paying Customers Global Operations 50,000+ Users 300% Growth Y2Y 300+ CDS Team Members 36 © 2015 IBM Corporation What can you do now? § Go to bluemix.net and get an IBM ID to work with our Cloud Data Services offerings and many other IBM cloud and SaaS offerings § Contact your IBM Analytics sales rep to secure a deeper discussion into how our Cloud Data Services offerings can drive value and transformative projects within your organization § Come find us at lunch J 37 © 2015 IBM Corporation Questions? 38 © 2015 IBM Corporation Demonstration © 2015 IBM Corporation Let’s Take a Break © 2015 IBM Corporation Real World Insights: Morningstar © 2015 IBM Corporation Data Pla<orm Enablement ©2015 Morningstar, Inc. All rights reserved. To create great products that help investors reach their financial goals. 43 Business View Research Design Technology 44 Technology View u CalculaGons u Availability u InteracGon and design 45 Dependent Calcula7ons 46 MetaData + SQL Genera7on Engine + Rule Engine SQL 47 Sources 48 Implementa7on Initial talks to major product shipment in record time < 6 months 49 Questions? 50 © 2015 IBM Corporation 51 © 2015 IBM Corporation Backup 52 © 2015 IBM Corporation …To our Business Analytics and Intelligence Offerings Predictive Analytics n n n SPSS Data Collection SPSS Modeler Gold Social Media Analytics Watson n n Watson Analytics Watson Curator Content Management n Navigator Risk n n n n n n Algo Managed Services Algo Risk Content Algo Risk Reports Algo Risk Service Algo Pension Monitoring IBM Open Pages GRC Business Intelligence n Cognos Business Intelligence Performance Management n n n n n n 53 Cognos TM1 Cognos Concert Cognos Disclosure Management Cognos Quota Management Cognos Territory Management Cognos Incentive Management Compensation © 2015 IBM Corporation A Large Investment Research & Management Firm needed a persistent data store to maintain and access financial analytical reports Cloudant’s schema-less architecture and horizontal scalability enables their users users to have real-time access to reports and analytics generated by IBM PureData for Analytics 54 © 2015 IBM Corporation IBM Internal Use Only Use Case: Investment Research & Management Firm Company Background - Global Investment & financial services research firm Need - Provide real-time access to data for a new system of engagement application for accessing and visualizing reports from Netezza through a custom API Success Criteria - Support for high volume of user concurrency – something a warehouse environment like Netezza cannot provide - Integration with other IBM products – like Netezza Solution & Results - Schema-less architecture enables the ability to store the data without needing a schema definition prior to inserting the data from Netezza. - Does not require time consuming schema changes when different data must be captured and processed - With Cloudant, the firm is transforming how their users access data 55 © 2015 IBM Corporation Extending your warehouse environment 5. 1. An end user requests a dataset to be visualized by a Customer Service. 4. 2. The request is processed through a Customer API which queries Netezza (or any other data warehouse) for the requested data. Customer API 3. 4. 1. 2. 3. Netezza returns the requested dataset back to the Customer API. 4. The Customer API internally prepares the data for visualization and storage by converting it into JSON format. A small subset of the data will be sent to the calling application for visualization while the full dataset will be persisted into Cloudant. 5. The initial requesting application can now query, page, sort, etc against the data in Cloudant until they are finished. 56 © 2015 IBM Corporation Use Case: Cloud Analytics for Web & Mobile § Build an app and analyze usage to: Cloudant Sync - Understand user behavior - Increase monetization § Millions of users transact with Cloudant via REST (iOS & Android) Data Center 1 Continuous, filtered replication & sync (Active DR) HTTPS HTTPS § Off-line mobile data access enabled by Cloudant Sync Continuous, filtered replication & sync HTTPS § Perform analytics with dashDB Data Center 2 Continuous sync (Active DR) - Data is continuously synched with Cloudant - Accessed by BI Tools such as Watson Analytics via Dataworks 57 Dataworks dashDB data mart BI Tool User © 2015 IBM Corporation Use Case: Cloud Analytics for Agility § How quickly can you create a 1TB data mart? Web & Mobile users - Average Oracle & Teradata data marts take >50 days to implement (ITG) § What are you spending on QlikView per year? - Cloud faster, cheaper? § Equip users with dashDB and Big Insights for modern, agile analytics SQL DB Aggregations Big Insights on the Cloud ODBC dashDB data mart ODBC BI Tool Users 58 © 2015 IBM Corporation Use Case: Insurance Company – Architecture Details 3: Develop apps leveraging Cloudant's API & enable systems of engagement to operate at webscale 2: Push 360o data to Cloudant for mobile workers 1: Cloudant JSON data sent to Watson Explorer to index Watson Explorer Cloudant Managed or Local deployment JSON 59 Auto Policy JSON Home Policy JSON Billing Data CRM FILE SHARES HTML RDMS SOCIAL EMAIL SHAREPOINT © 2015 IBM Corporation Use Case: Pharmaceutical Distributor – Deeper Look New data warehouse environment. - Customer does not have an existing analytics / warehouse solution. - This is often coupled with lack of skills/resources, preference to opex environments, needs something quickly, does not have 100+TB environment. Extend / Modernize! 60 • Extend on-premises data warehouse environments to the cloud! • Flexible, cost-effective growth! • Hybrid cloud models support ground to cloud! © 2015 IBM Corporation Use Case: Food Distributor– Deeper Look COMPLETE CLOUD BASED ANALYTICS - New analytics project that leverages our offerings, Cloudant, dashDB, and SaaS based Analytics through Cognos. 61 Cloudant Analytics! • Easy synchronization of JSON to structured data! • Allows analytics via standard BI tools! • In-database predictive algorithms allow greater insight for Cloudant users than ever before! Data Warehouse & Analytics Service! • Data warehousing and analytics in the cloud! • Cloud agility and flexibility! • Analytics for cloud data, data marts, and development & test environments! © 2015 IBM Corporation IBM Watson Analytics for smarter data discovery 100’s of new ques7ons asked each day through explora7on and discovery Watson Analy7cs Business user led analy7cs 62 10’s of insighKul discoveries presented to, and evaluated by decision makers 1 change, improves alignment, opera7ons and repor7ng; governed and scalable Analy7c plaKorms and database sources Advanced user and IT managed analy7cs © 2015 IBM Corporation Use Case: Insurance Company – Deeper Look TIME SENSITIVE ANALYTICS PROJECT: Seasoned analytics and warehouse customer, but looking at new analytics project that must get off the ground quickly. Time to value, speed, simplicity, reduced risk of project failure are all important. Data Warehouse & Analytics Service! 63 • Data warehousing and analytics in the cloud! • Cloud agility and flexibility! • Analytics for cloud data, data marts, and development & test environments! © 2015 IBM Corporation Use Case: Pharmaceutical Distributor – Architecture Details Pharma UK branch Netezza Rancho Cordova, USA Infinium/ MBA Montreal, Canada 1 1 SAP Stuttgart, Germany 1 6 Softlayer Dallas Private Network 2, 3 Information Server Tableau Server 4 Softlayer Dallas Public Cloud 5 64 1. 2. 3. 4. 5. 6. Connect to company Extract from sources Transform into target model Load into warehouse Analyze Report & visualize © 2015 IBM Corporation
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