what is bi on cloud

What is BI on Cloud?- Hari Prasad Devarapalli

9 February 2011TCS Confidential 2

Agenda

Business and Business Intelligence (BI)

Cloud Computing

Business Intelligence on cloud


Agenda

Cloud Computing


9 February 2011TCS Confidential

External Efficiency(Agility and Adaptability)

Internal Efficiency

EfficiencyQ: Business & IT Error Rate

ReductionC: Reduction in Business &

IT CostsT: Process FTE & Cycle-Time

Reduction

AgilityProblem/Change Impact Analysis

TimeProcess Cycle-Time ReductionTime-To-Market Improvement

AdaptabilityChange Impact Analysis &

Response TimeBusiness & Infrastructure Service

ReuseLevel of Process Standardization

Continuously adapt your business processes to seize opportunities quickly and efficiently in a dynamic marketplace

Continuously adapt your business processes to seize opportunities quickly and efficiently in a dynamic marketplace

Business goal : A Self-Optimizing Enterprise


Business Intelligence

• 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.

BI Is User-Defined and

Scalable

• 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.

The BI Market Is Saturated



• 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

It's Horizontal, Not Vertical

• 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.

BI's Feature Set Is Complex



• 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 solution-based applications.

BI Is a Platform, Not a "Solution"

• 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).

BI's Data Structure Is

Flexible



• 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.

User Adoption

Can Be Challenging

• 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.

BI Requires IT Involvement


Agenda




What is Cloud Computing?

• 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

• 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

TCS DefinitionTCS Definition

• Pay-Per-Use• On-demand Self-Service • Ubiquitous Network Access• Resource Pooling

• Location Independence• Homogeneity

• Rapid Elasticity• Measured Service

• Pay-Per-Use• On-demand Self-Service • Ubiquitous Network Access• Resource Pooling

• Location Independence• Homogeneity

• Rapid Elasticity• Measured Service

Characteristics (from NIST)Characteristics (from NIST)

• Software as a Service (SaaS)• Platform as a Service (PaaS)• Infrastructure as a Service (IaaS)

• Software as a Service (SaaS)• Platform as a Service (PaaS)• Infrastructure as a Service (IaaS)

Service ModelsService Models

• Private Cloud • Public Cloud• Hybrid Cloud

• Private Cloud • Public Cloud• Hybrid Cloud

Deployment ModelsDeployment Models

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9 February 2011TCS Confidential - 11

Cloud Delivery Models

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

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.

IT Level“Infrastructure-as-a-Service”

System administration, obtain general processing, storage, database management, and other resources and applications through the network and pay only for what gets used

Google Docs, acrobat.com, Zoho, salesforce.com, animoto, Oracle on demand, Windows Office Live, …

Amazon Web Services, IBM, GoGrid, Sun Grid Compute Util ity, Google Base, …

Azure Services Platform, Oracle SaaS platform, Coghead, force.com, Yahoo developer network, Google App Engine, …


What does pay-as-you-go mean?

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ServiceModel

Typical Unit of Measure Typical values

SaaS Per user per monthPer location per month, etc.

No norm. The vendor is free to set his pricing and the unit of measure!

PaaS Per GB per month for DBsPer connection per month for integration layerData Transfer In/Out

10 USD/GB-month

IaaS Instance-hours per monthData Transfer in/OutGB per month for storage

10 cents/hour10 cents/GB – in, 15 cents/GB-out10 cents/GB-month


Cloud Computing Deployment Models

• Mega-scale Infrastructure and Services• Sold publically• Pay-Per-Use• Multitenant applications and services• Access virtually unlimited resources

• Mega-scale Infrastructure and Services• Sold publically• Pay-Per-Use• Multitenant applications and services• Access virtually unlimited resources

Public CloudPublic 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.

• 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.

Private CloudPrivate 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.

• 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.

Hybrid CloudHybrid Cloud

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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 :

Agility

No Capex.

Scalability

dynamic provisioning,

location independent availability,

Pay Per use.

Challenges/Risks :

* Confidentiality

* Integrity

* Availability

* Multitenant s/w/resources.

* Policy migration

* Auditing limitations

* Changing cloud vendor


Agenda


Cloud Computing


Typical Use Case for Cloud

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• Infrastructure Transformation

• SaaS (e-mail, collaboration, etc.)

• Dev and Test

• Hosted solutions

• Content Delivery Networks

• High Performance Computing

• POCs

• Backup

• DR

• VPCs / Private Clouds


Advantages of Cloud over hosted Service

• Massive computing power on demand available immediately Demand

• Infinitely scalable on demand and resources can be released as well when not required

Unlimited Elasticity

• Pay as you use for minutes , hours or days based on capacity used. Affordable

Low cost of ownership,


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

Data Warehouse as a Service (DWaaS)

Business Intelligence as a Service (BIaaS)

Data Integration as a Service (DIaaS)

Uses a proprietary columnar data structure, allowing granular data to be stored to support extensive analysis of KPIs.

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 a virtul world platformCrowdStar a Facebook based social gaming company,


Analyst Groups Analysis• .

• 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

IDC

• 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.

Gartner

TCS Public 9 February 2011

Thank You


Analytics

•Customer Analytics•Data Mining & Predictive Analytics •Finance & Accounting Analytics•Human Capital Analytics• IT Analytics•Supply Chain Analytics •Retail & CPG Analytics•Other Industry Vertical Analytics

TCS Analytics Platform BPO Solution




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• Understanding customer behavior becoming key for organization’s success

• 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

Business Drivers

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

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

• TCS investments in prebuilt multi-tenant solution; Global shared services DW, BI and Advanced Analytics competency center

• 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 solution; Global shared services DW, BI and Advanced Analytics

competency center

Value Proposition


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

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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”

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what is bi on cloud

Technology

business applications

business users

business goal

business processes

cloud tcs confidential9

bis data bi

bi platform

bi solution