What is BI on Cloud? - Hari Prasad Devarapalli
Agenda Business and Business Intelligence (BI) Cloud Computing Business Intelligence on cloud 2
Agenda Cloud Computing Business Intelligence on cloud 3
Business goal : A Self-Optimizing Enterprise Efficiency Q: Business & IT Error Rate Reduction C: Reduction in Business & IT Costs T: Process FTE & Cycle-Time Reduction Internal Efficiency External Efficiency (Agility and Adaptability) Agility Problem/Change Impact Analysis Time Process Cycle-Time Reduction Time-To-Market Improvement Adaptability Change Impact Analysis & Response Time Business & Infrastructure Service Reuse Level of Process Standardization Continuously adapt your business processes to seize opportunities quickly and efficiently in a dynamic marketplace
Business Intelligence BI Is User- Defined and Scalable Reporting tools, analytics, dashboards, scorecards, data modeling, data warehouse, data mining, online analytical processing (OLAP), or performance management. It is all of those, and more. The BI Market Is Saturated Each product may do some things, but not necessarily all of them; however BI can deliver many, if not all of them. When considering a BI platform, it's important to learn about BI's many embedded features and create a prioritized list for your own organization.
Business Intelligence It's Horizontal, Not Vertical Business Intelligence platforms take a horizontal approach to data that supports many vertical applications - including most of those listed above in item number one. Every organization or application with data has a potential case for using BI, no matter how many vertical uses or applications might be involved BI's Feature Set Is Complex This initial learning can include drilling down to a report, adding summarizations, or learning the best way to display data visually. For example, in data mining you may need to learn about clustering, decision trees, or regression, all-powerful features that require a higher learning curve than out-of-the box solutions. However, BI's benefits do outweigh the difficulties.
Business Intelligence BI Is a Platform, Not a "Solution" Most business applications are available as software solutions-fit for specific purposes and ready to use right out of the box. Most Business Intelligence applications rely on platforms where technical users build specific solutions in a development environment. There are a few BI vendors who are moving toward solutionbased applications. BI's Data Structure Is Flexible Data that is stored and used for Business Intelligence can be either standardized for transactional systems or optimized for reporting and analysis. BI is flexible and can provide good results using many different structures. Although most business applications rely on transactional structures for speedy record processing, in BI it can be modeled as relational, dimensional, or a hybrid that might be ROLAP (Relational) or MOLAP (Multidimensional).
Business Intelligence User Adoption Can Be Challenging Most business applications are specific to standard business processes-something users are already comfortable with. However, Business Intelligence is very flexible and doesn't follow any specific, prescribed process. Users have the ability to explore the data and develop reporting tools as they choose. This is a huge benefit that can also present challenges and intimidate many users preventing them from fully adopting a BI solution. BI Requires IT Involvement Because Business Intelligence is complex, flexible in structure, and platform-based, it depends more on IT than most business applications. Organizations where business users and IT resources work together will experience a much greater overall success rate with Business Intelligence.
Agenda Business and Business Intelligence (BI) Business Intelligence on cloud 9
What is Cloud Computing? TCS Definition A Cloud is a set of IT optimization techniques rolled into capabilities offered as a shared service to customers, providing extremely large scale through a very simple and easy-to-consume interface, in an extremely granular, usage-based pricing model Characteristics (from NIST) Pay-Per-Use On-demand Self-Service Ubiquitous Network Access Resource Pooling Location Independence Homogeneity Rapid Elasticity Measured Service Service Models Software as a Service (SaaS) Platform as a Service (PaaS) Infrastructure as a Service (IaaS) Deployment Models Private Cloud Public Cloud Hybrid Cloud - 10
Cloud Delivery Models IT Level Infrastructure-asa-Service System administration, obtain general processing, storage, database management, and other resources and applications through the network and pay only for what gets used Amazon Web Services, IBM, GoGrid, Sun Grid Compute Utility, Google Base, Developer Level Platform-as-a- Service Developers can design, build and test applications that run on the Cloud provider s infrastructure and then deliver those applications to end-users from the providers servers. Azure Services Platform, Oracle SaaS platform, Coghead, force.com, Yahoo developer network, Google App Engine, User Level Software-as-a- Service Companies host applications in the cloud that many users access through internet connections. The services being sold or offered is a complete end-user application Google Docs, acrobat.com, Zoho, salesforce.com, animoto, Oracle on demand, Windows Office Live, - 11
What does pay-as-you-go mean? Service Model SaaS PaaS IaaS Typical Unit of Measure Per user per month Per location per month, etc. Per GB per month for DBs Per connection per month for integration layer Data Transfer In/Out Instance-hours per month Data Transfer in/out GB per month for storage Typical values No norm. The vendor is free to set his pricing and the unit of measure! 10 USD/GB-month 10 cents/hour 10 cents/gb in, 15 cents/gb-out 10 cents/gb-month 12
Cloud Computing Deployment Models Public Cloud Mega-scale Infrastructure and Services Sold publically Pay-Per-Use Multitenant applications and services Access virtually unlimited resources Private Cloud Finite Infrastructure and Services Enterprise owned or leased Charge-back to LOBs or Users Cloud Computing model in a company's own datacenter or providers Access limited resources that must be managed by LOBs or Central IT. Hybrid Cloud Composition of two or more clouds Mixed usage of both public and private clouds Enables application components to be spread between multiple public and/or private clouds. - 13 -
Cloud Deployment Models Source: Security Guidance for Critical Areas of Focus in Cloud Computing, Cloud Security Alliance, April 2009
Amazon Web Services Customer Agreement Source: http://aws.amazon.com/agreement/ - Updated December 6, 2010 and retrieved on 3rd Feb 2011
Benefits & Challenges in Cloud Benefits : Challenges/Risks : Agility No Capex. Scalability dynamic provisioning, location independent availability, Pay Per use. * Confidentiality * Integrity * Availability * Multitenant s/w/resources. * Policy migration * Auditing limitations * Changing cloud vendor
Agenda Business and Business Intelligence (BI) Cloud Computing 17
Typical Use Case for Cloud Infrastructure Transformation High Performance Computing SaaS (e-mail, collaboration, etc.) POCs Dev and Test Backup Hosted solutions DR Content Delivery Networks VPCs / Private Clouds - 18
Advantages of Cloud over hosted Service Demand Massive computing power on demand available immediately Unlimited Elasticity Infinitely scalable on demand and resources can be released as well when not required Low cost of ownership, Pay as you use for minutes, hours or days based on capacity used. Affordable
Cloud BI Platforms Informatica Cloud Microsoft SAP SAP BusinessObjects OnDemand IBM Cognos Business Intelligence 10.1 on the cloud. Blue Insight, IBM s own business intelligence (BI) and analytics private cloud deployment Oracle Cloud ready Business Intelligence with Oracle Business Intelligence 11g
SaaS BI Pure Play vendors SaaS-based end-to-end BI and data integration platform. It provides customers with the option of either uploading data to Birst or leaving data locally, with only the analysis happening in the cloud. the analytic platform uses a proprietary columnar data structure, allowing granular data to be stored to support extensive analysis of KPIs. an open platform integration strategy that will allow its clients to access data now stored in its system and combine it with other data in the enterprise for combined analysis and reporting. built-in business user-oriented statistical capabilities for identifying trends, forecasts with error ranges, and patterns with support for drilling into the data while context is maintained to identify the root cause of a problem. Moreover, users can perform real-time what-if analysis to determine the impact of various scenarios, while alerts are shown based on variance from goals or best practice.
SaaS BI Pure Play vendors Uses a proprietary columnar data structure, allowing granular data to be stored to support extensive analysis of KPIs. Data Warehouse as a Service (DWaaS) Business Intelligence as a Service (BIaaS) Data Integration as a Service (DIaaS) The Oco product is used to augment installed BI capabilities already in place. The company has designed an innovative data model that supports standard analysis for supply chain, sales, marketing, customer and finance operations, but will also work with clients to build out customized analytic applications tailored to their needs.
Cloud Platforms for Business Intelligence RightScale is the cloud management platform that manages the underlying cloud infrastructure Clients: Sibblingz CrowdStar a virtul world platform a Facebook based social gaming company,
Analyst Groups Analysis. IDC A new IDC report finds the SaaS BI market will experience triple the growth of the market overall, soaring at a compound annual growth rate of 22.4 percent through 2013, although actual revenue totals will remain small compared to on-premise BI applications Gartner According to research conducted by Gartner, BI platform SaaS and cloud adoption is currently very low, with only around 30% of the current users of BI expecting to adopt either SaaS or cloud in the future. Gartner inquiries suggest that BI SaaS has had the most adoption in specific analytic application areas, such as Web analytics or social media analytics, or embedded as part of other SaaS applications. As data volumes become extreme and must be combined with internal and cloud-based sources, the need for on-demand scalability may change the trajectory of demand and growth for BI platform SaaS and cloud.
Thank You TCS Public
TCS Analytics Platform BPO Solution Analytics Customer Analytics Data Mining & Predictive Analytics Finance & Accounting Analytics Human Capital Analytics IT Analytics TCS Analytics Platform BPO Solution Supply Chain Analytics Retail & CPG Analytics Other Industry Vertical Analytics TCS Public
TCS Analytics Platform BPO Solution Business Drivers Objective Solution Each offering comes with pre-built industry standard data model, KPIs, role based dashboards/reports, ETL scripts, data integration templates Service oriented Core Platform Architecture Integrated Advanced Analytics Analytics Shared Services/KPO Exponential growth in data volumes coupled with the need for timely, better & deeper insights Increased acceptance & adoption of SaaS solutions in the market to drive down costs Understanding customer behavior becoming key for organization s success To provide cost-effective, value enhancing analytics outsourcing solutions that helps organizations build customer intimacy, reduce customer churn, reduce operating cost, increase revenue and provide excellent customer experience Value Proposition Unique Powered by Oracle Analytics BPO alliance in the world World class analytics; Comprehensive, fully managed, hosted and integrated solution integrating BI, PM and advanced analytics TCS investments in prebuilt multi-tenant - 27 - solution; Global shared services DW, BI and Advanced Analytics TCS Public competency center
Key Characteristics Agility - improves with users able to rapidly and inexpensively re-provision technological infrastructure resources Cost (Pay as You Go) cost is greatly reduced and capital expenditure is converted to operational expenditure. Also you can convert fixed cost to variable. Device and location independence - enable users to access systems using a web browser regardless of their location or what device they are using, e.g., PC, mobile. Multi-tenancy - enables sharing of resources and costs among a large pool of users, allowing for: Centralization of infrastructure in areas with lower costs (such as real estate, electricity, etc.) Peak-load capacity increases (users need not engineer for highest possible load-levels) Utilization and efficiency improvements for systems that are often only 10-20% utilized. Reliability - improves through the use of multiple redundant sites, which makes it suitable for business continuity and disaster recovery. Scalability - via dynamic ("on-demand") provisioning of resources on a fine-grained, self-service basis near real-time, without users having to engineer for peak loads. Sustainability comes about through improved resource utilization, more efficient systems, and carbon neutrality. Nonetheless, computers and associated infrastructure are major consumers of energy Virtualized: Applications are decoupled from the underlying hardware. Multiple applications can run on one computer (virtualization a la VMWare) or multiple computers can be used to run one application - 28
Cloud Computing Concerns Loss of control Integration: enterprise & federated authorization Interoperability: with key enterprise applications Accessibility and UI limitations of web apps Reliability, performance, security; offline access Features; changes; vendor lock-in Policy/compliance concerns (privacy) Breach forensics and mitigation Business surprises ; Support; More Logins Consequences of Creative Destruction - 29