Through many acquisitions in the ICT and digital media space, Oracle is positioning itself to be a preferred provider of the core technologies for cloud computing, communications, content, commerce and applications. The company is also leveraging its data management experience and expanding its Cloud Computing service with its Data as a Service (DaaS) offering.
DaaS is defined as any service offered wherein users can access vendor provided databases to utilize data in a Cloud-based service environment. DaaS is expected to grow significantly in the near future due to a few dominant themes including cloud-based infrastructure/services, enterprise data syndication, and the consumer services trend towards Everything as a Service (XaaS).
This research evaluates the DaaS market opportunity with a focus on anticipated industry leader, Oracle. The report analyzes Oracle's strategy, opportunities, and outlook. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.
Telecom service providers Data integration companies Big Data and Analytics companies Wireless infrastructure companies Telecom managed service companies Cloud infrastructure and XaaS providers Intermediaries and mediation companies Enterprise, medium, and small businesses
BDaaS Forecast to 2019 Understand Data as a Service Identify DaaS issues and challenges Recognize the market potential for DaaS Understand how DaaS is leverages Oracle DB Identify Oracle's potential strategies and solutions
Table Of Contents
Oracle's Data as a Service (DaaS) Offering 1 Introduction 5 1.1 Executive Summary 5 1.2 Key Findings 7 1.3 Target Audience 8 2 Company Overview 9 2.1 Strategy 9 2.1.1 General Company Strategies 9 2.1.2 DaaS Specific Strategies 10 3 Data as a Service 12 3.1 Overview 12 3.2 Marketplace 15 3.2.1 Overview 15 3.2.2 DaaS Adoption Factors 17 3.3 Forecasts 21 4 Oracle's DaaS Products and Services 24 4.1 Overview 24 4.2 Current Services 25 4.2.1 Oracle DaaS for Marketing 27 4.2.2 Oracle DaaS for Sales 30 4.2.3 Oracle DaaS for Social 31 5 SWOT Analysis 36 6 Conclusions and Recommendations 37 6.1 Externalizing Data to Third Parties vs. Internal Data for Oracle Solutions 38 6.2 Future Oracle DaaS Solution Areas 38 6.2.1 Business Intelligence as a Service 39 6.2.2 Verification and Authorization as a Service 39 6.2.3 Reporting and Analytics 40 6.1 Oracle Specific Strategies and Offerings 41 6.1.1 Create further Barriers for Database Competitors 41 6.1.2 Create Standardized Ecosystem for DaaS 42 6.1.3 Create Industry Accepted Business Models 42 7 Appendix: Existing and Future Opportunities 44 7.1 Big Data Services 44 7.2 Analytics Services 46 7.1 Blending Data Types: Structured and Big Data 49
Figure 1: Oracle in Cloud, Coms, Apps, Content and Commerce 6 Figure 2: DaaS Model Architecture 13 Figure 3: BDaaS Forecast through 2019 22 Figure 4: DaaS Verification and Authorization 39 Figure 5: Oracle Big Data Offerings 46 Figure 6: Data Integration and Blending Architecture 51 Figure 7: Federated vs. Non-Federated Models 55