Oracle's Data as a Service (DaaS) Offering
Overview:
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.
Target Audience:
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.
Target Audience:
- 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
1 INTRODUCTION
1.1 Executive Summary
1.2 Key Findings
1.3 Target Audience
2 COMPANY OVERVIEW
2.1 Strategy
2.1.1 General Company Strategies
2.1.2 DaaS Specific Strategies
3 DATA AS A SERVICE
3.1 Overview
3.2 Marketplace
3.2.1 Overview
3.2.2 DaaS Adoption Factors
3.3 Forecasts
4 ORACLE'S DAAS PRODUCTS AND SERVICES
4.1 Overview
4.2 Current Services
4.2.1 Oracle DaaS for Marketing
4.2.2 Oracle DaaS for Sales
4.2.3 Oracle DaaS for Social
5 SWOT ANALYSIS
6 CONCLUSIONS AND RECOMMENDATIONS
6.1 Externalizing Data to Third Parties vs. Internal Data for Oracle Solutions
6.2 Future Oracle DaaS Solution Areas
6.2.1 Business Intelligence as a Service
6.2.2 Verification and Authorization as a Service
6.2.3 Reporting and Analytics
6.1 Oracle Specific Strategies and Offerings
6.1.1 Create further Barriers for Database Competitors
6.1.2 Create Standardized Ecosystem for DaaS
6.1.3 Create Industry Accepted Business Models
7 APPENDIX: EXISTING AND FUTURE OPPORTUNITIES
7.1 Big Data Services
7.2 Analytics Services
7.1 Blending Data Types: Structured and Big Data
1.1 Executive Summary
1.2 Key Findings
1.3 Target Audience
2 COMPANY OVERVIEW
2.1 Strategy
2.1.1 General Company Strategies
2.1.2 DaaS Specific Strategies
3 DATA AS A SERVICE
3.1 Overview
3.2 Marketplace
3.2.1 Overview
3.2.2 DaaS Adoption Factors
3.3 Forecasts
4 ORACLE'S DAAS PRODUCTS AND SERVICES
4.1 Overview
4.2 Current Services
4.2.1 Oracle DaaS for Marketing
4.2.2 Oracle DaaS for Sales
4.2.3 Oracle DaaS for Social
5 SWOT ANALYSIS
6 CONCLUSIONS AND RECOMMENDATIONS
6.1 Externalizing Data to Third Parties vs. Internal Data for Oracle Solutions
6.2 Future Oracle DaaS Solution Areas
6.2.1 Business Intelligence as a Service
6.2.2 Verification and Authorization as a Service
6.2.3 Reporting and Analytics
6.1 Oracle Specific Strategies and Offerings
6.1.1 Create further Barriers for Database Competitors
6.1.2 Create Standardized Ecosystem for DaaS
6.1.3 Create Industry Accepted Business Models
7 APPENDIX: EXISTING AND FUTURE OPPORTUNITIES
7.1 Big Data Services
7.2 Analytics Services
7.1 Blending Data Types: Structured and Big Data
FIGURES
Figure 1: Oracle in Cloud, Coms, Apps, Content and Commerce
Figure 2: DaaS Model Architecture
Figure 3: BDaaS Forecast through 2019
Figure 4: DaaS Verification and Authorization
Figure 5: Oracle Big Data Offerings
Figure 6: Data Integration and Blending Architecture
Figure 7: Federated vs. Non-Federated Models
Figure 1: Oracle in Cloud, Coms, Apps, Content and Commerce
Figure 2: DaaS Model Architecture
Figure 3: BDaaS Forecast through 2019
Figure 4: DaaS Verification and Authorization
Figure 5: Oracle Big Data Offerings
Figure 6: Data Integration and Blending Architecture
Figure 7: Federated vs. Non-Federated Models
