Cloud Data Analytics - A Must For All Enterprise Growth Shapes

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1 Cloud Data Analytics - Technology Market Penetration and Roadmapping (Technical Insights) D2BC-TI June 2011

2 Table of Contents Executive Summary Research Outline Research Methodology Key Findings Technology Snapshot and Trends Technology Capability Technology Value Chain Impact Assessment & Analysis Market Impact of Key Innovations Impact of Technology / Business Accelerators Impact of Technology / Business Challenges Diffusion of Innovations and Needs Assessment Technology Adoption Demand Side Analysis 4

3 Table of Contents (Contd ) Opportunity Evaluation and Roadmapping Scenario Modelling & Emerging Opportunities Technology Impact Analysis Technology Management Strategies Key Patents and Contact Details Appendix About Frost & Sullivan 5

4 Cloud Data Analytics Technology Snapshot Sneak Sneak Preview Empowers Empowers enterprises enterprises to to intelligently intelligently diagnose diagnose and and analyze analyze corporate corporate data data located located on on disparate disparate servers servers across across the the globe globe Leveraging Leveraging on on the the prowess prowess of of cloud cloud computing, computing, it it could could facilitate facilitate analytics analytics to to be be executed executed in in a more more structured structured manner manner Why Why is is it it important? Promises Promises to to deliver deliver accurate accurate and and rapid rapid results results as as opposed opposed to to conventional conventional analytical analytical processes processes Could Could prove prove fundamental fundamental to to attain attain predictive predictive analysis analysis and and thus thus gain gain valuable valuable competitive competitive edge edge Key Key Strengths Cost Cost effective effective through through a pay-as-you-go model, model, which which could could enable enable smaller smaller companies companies to to gain gain access access to to business business intelligence intelligence tools. tools. Reduces Reduces the the need need to to have have in-house in-house expertise expertise and and equipment equipment for for leading leading edge edge analytical analytical capabilities. capabilities. 10

5 With the increasing digital data deluge, conventional data storing systems are perceived as costly, With the increasing digital data deluge, conventional data storing systems are perceived as costly, unstructured, less dynamic, and are unable to adequately conform to the ever-changing user requirements. unstructured, less dynamic, and are unable to adequately conform to the ever-changing user requirements. Thus, cloud developers and service providers are capitalizing on this crucial demand to offer optimal data Thus, cloud developers and service providers are capitalizing on this crucial demand to offer optimal data storage services which essentially focuses on facilitating an easier mechanism to capture, store and manage storage services which essentially focuses on facilitating an easier mechanism to capture, store and manage critical and sensitive data. critical and sensitive data. Interestingly, with this trend gaining strong momentum, users are actively seeking cloud services that could Interestingly, with this trend gaining strong momentum, users are actively seeking cloud services that could provide smarter capabilities. Via these novel services, enterprise data could be aggregated and provide smarter capabilities. Via these novel services, enterprise data could be aggregated and consequently tiered based upon their technology domain or business value. This smart data categorization consequently tiered based upon their technology domain or business value. This smart data categorization could equally cluster data according to their criticality for each application or process. Highly important data could equally cluster data according to their criticality for each application or process. Highly important data could be directly accessed with utmost speed, whilst less critical data are stored for future reference. could be directly accessed with utmost speed, whilst less critical data are stored for future reference. Subsequently, this provides a strategic platform for cloud service providers to go a step further beyond the Subsequently, this provides a strategic platform for cloud service providers to go a step further beyond the data-capture-and-manage model and offer cloud data analytics. As a result, leveraging on this service data-capture-and-manage model and offer cloud data analytics. As a result, leveraging on this service enterprises could ascertain and determine the business value of all data available within the enterprise enterprises could ascertain and determine the business value of all data available within the enterprise perimeter. perimeter. 11

6 Data traffic Web logs Applogs Syslogs Network packet Subsequently, data are Subsequently, data are authenticated and profiled. This authenticated and profiled. This could facilitate a more sturctured could facilitate a more sturctured framework for cloud analytics framework for cloud analytics services to effectuate their services to effectuate their forensic analysis. forensic analysis. After all data are distinguished After all data are distinguished and codified accordingly, the and codified accordingly, the analytics engine could thereby analytics engine could thereby execute its drilled down analysis execute its drilled down analysis in a more effective manner. in a more effective manner. Accurate results Interactive reporting Graphical interface Capture Structure Analyze Knowledge During this initial stage, all data During this initial stage, all data from the cloud servers or on from the cloud servers or on premise will be aggregated. This premise will be aggregated. This represents a crucial part of the represents a crucial part of the data analytics chain as typically all data analytics chain as typically all data are provisioned from data are provisioned from different lines of businesses or different lines of businesses or functional units from disparate functional units from disparate locations. Additionally, more often locations. Additionally, more often that not, all data acquired are in that not, all data acquired are in an unstrucutred form. an unstrucutred form. At the end of the analytical At the end of the analytical process, enterprises could gain process, enterprises could gain valuable business and valuable business and performance information based performance information based upon the myriad of data collated upon the myriad of data collated earlier. It could equally empower earlier. It could equally empower enterprises to attain predictive enterprises to attain predictive analytics which could prove analytics which could prove fundamental to streamline their fundamental to streamline their business ressources and for future business ressources and for future strategic roadmapping. strategic roadmapping. 12

7 Customized Customized Pricing Pricing Minimizes Minimizes capital capital outlay outlay Real Real time time capabilities capabilities Negates Negates the the need need for for ininhouse house expertise expertise Advantages of Cloud Analytics Highly Highly Scalable Scalable Enhances Enhances competitive competitive position position Helps Unlock the business Helps Unlock the business value of data value of data Flexible Flexible 13

8 Customized Pricing Leveraging on cloud-based data analytics services, all Leveraging on cloud-based data analytics services, all data processing are shifted to the cloud environment. data processing are shifted to the cloud environment. Most cloud operating conditions employ a pay as you go Most cloud operating conditions employ a pay as you go model where the user only pays for resources consumed model where the user only pays for resources consumed instead of a fixed financial rate. instead of a fixed financial rate. User only pays for the resources consumed, resultantly User only pays for the resources consumed, resultantly this could vastly decrease OPEX for enterprises opting for this could vastly decrease OPEX for enterprises opting for cloud-based analytics. cloud-based analytics. Real Time Capabilities As all analytical processes are executed via the cloud, it As all analytical processes are executed via the cloud, it thereby promises to provide faster and granular results. thereby promises to provide faster and granular results. Leveraging on the robustness of cloud capacity, it could Leveraging on the robustness of cloud capacity, it could analyze and diagnose countless digital data with utmost analyze and diagnose countless digital data with utmost efficiency. efficiency. This in turn could offer accelerated and more structured This in turn could offer accelerated and more structured results for the customers. results for the customers. Highly Scalable Another fundamental advantage of leveraging the cloud Another fundamental advantage of leveraging the cloud framework is that it could easily scale according to real framework is that it could easily scale according to real time demands. time demands. As opposed to conventional in-house IT infrastructure, As opposed to conventional in-house IT infrastructure, this alternative offers increased scalability and could this alternative offers increased scalability and could respond instantly to the monumental amount of user respond instantly to the monumental amount of user requests. requests. Flexible Similar to scalability, cloud computing offers a higher Similar to scalability, cloud computing offers a higher degree of flexibility for processing myriad of IT degree of flexibility for processing myriad of IT applications. Irrespective of the nature of the application, applications. Irrespective of the nature of the application, cloud services could allocate adequate with just minimal cloud services could allocate adequate with just minimal delay. delay. Hence, whenever there is a peak in requests from the Hence, whenever there is a peak in requests from the users, cloud-based analytics could resolve the problem users, cloud-based analytics could resolve the problem effectively. effectively. 14

9 Unlock the business value of data Another immense advantage of leveraging the cloud Another immense advantage of leveraging the cloud technology is that it could effectively decipher the technology is that it could effectively decipher the business value of critical enterprise data. business value of critical enterprise data. With numerous types of technologies and applications With numerous types of technologies and applications embedded in the cloud platform, enterprises could embedded in the cloud platform, enterprises could precisely ascertain the business intensity of each data. precisely ascertain the business intensity of each data. Enhance competitive position This service equips enterprises, irrespective of size, to This service equips enterprises, irrespective of size, to assess and determine whether their actual business assess and determine whether their actual business strategies are aligned with growing business trends. strategies are aligned with growing business trends. Further to this, it could assist enterprises to self-evaluate Further to this, it could assist enterprises to self-evaluate their current competitive position and offer strategic their current competitive position and offer strategic roadmaps moving forward. roadmaps moving forward. Thus, it could facilitate enterprises to retain their unique Thus, it could facilitate enterprises to retain their unique competitive edge against their competing peers. competitive edge against their competing peers. Negates the need for in-house expertise Leveraging on the cloud could negate the need for Leveraging on the cloud could negate the need for internal expertise to develop proprietary tools and internal expertise to develop proprietary tools and software to facilitate the development of data analytics software to facilitate the development of data analytics and the underlying hardware architecture to support it. and the underlying hardware architecture to support it. Enterprises could rely on external expertise to maintain Enterprises could rely on external expertise to maintain and support technical queries in order to concentrate on and support technical queries in order to concentrate on their core areas of expertise internally. their core areas of expertise internally. Minimizes capital outlay Utilizing the cloud environment does not require the Utilizing the cloud environment does not require the purchase of servers and the necessary equipment to purchase of servers and the necessary equipment to support such analytics. support such analytics. Thus, it negates the crucial need for proprietary software Thus, it negates the crucial need for proprietary software development or integration of costly hardware development or integration of costly hardware infrastructures. infrastructures. Resultantly, this could vastly decrease CAPEX and OPEX Resultantly, this could vastly decrease CAPEX and OPEX for enterprises opting for cloud-based analytics. for enterprises opting for cloud-based analytics. 15