- Application ILM
- Application Retirement
- B2B Data Exchange
- Big Data
- Business Intelligence
- Cloud Computing
- Complex Event Processing
- Data Archive
- Data Governance
- Data Integration
- Data Masking
- Data Migration
- Data Privacy
- Data Quality
- Data Replication
- Data Services
- Data Validation
- Data Virtualization
- Data Warehousing
- Database Archiving
- Identity Resolution
- Informatica 9.5
- Informatica Events and Webinars
- Lean Data Management
- Master Data Management (MDM)
- Metadata Management
- Oil and Gas
- Oracle Business Intelligence Applications (OBIA)
- Proactive Monitoring
- SAP BW
- Service-Oriented Architecture (SOA)
- Test Data Management
- Ultra Messaging
Topic: Data Services
This Informatica Resource Centre features interviews and detailed case studies of how leading transportation companies around the world maximise operational efficiency, increase regulatory compliance, and improve responsiveness to industry changes.
The transportation business generates vast amounts of data about its passengers and cargo. This data is spread over disparate systems – from scheduling, staffing, and supply chain applications to maintenance records, customer relationship management systems, and financial databases.
Transportation companies are grappling with challenges that stem from this data – its massive volumes, its complex formats, its questionable quality, and its many sources.
Leading transportation companies around the world have adopted Informatica’s solutions to address these key issues – empowering them to:
- Reduce IT infrastructure cost and complexity by unlocking data from its original applications and promoting reuse across the enterprise.
- Maximise operational efficiency by streamlining and automating processes.
- Optimise customer service initiatives, identify new customer sectors, and better understand customer preferences.
- Increase profitability by responding more quickly to shifting transportation and passenger demands.
- Improve productivity by optimising fleet capacity and maximising speed.
- Reduce compliance costs through accurate, timely reporting of data.
In this report, Forrester evaluated each vendor’s Current Offering against 40 criteria that focus on core and advanced functionality. In addition, Forrester also scored each vendor’s Strategy by assessing six criteria including data services vision, development roadmap, commitment, financial resources to support strategy, pricing structure, and development cost. Informatica received the highest scores across both categories.
This Forrester report covers:
- How data virtualization is gaining momentum across industries
- A comprehensive data virtualization evaluation
- Global data virtualization deployments
View the Informatica 9.1 online launch event, and find out how you can convert Big Data into trustworthy, actionable, and authoritative data that can be used to gain competitive insights and improve operations.
Rick F. van der Lans White Paper: Developing a Data Delivery Platform with Informatica Data Services – A Technical White Paper on Next Generation Data Virtualization
The Data Delivery Platform (DDP) is a modern architecture for developing Business Intelligence systems where data consumers – such as reporting and analytical tools – are decoupled from data stores.
This White Paper, by independent analyst Rick F. van der Lans describes how to develop such a Business Intelligence (BI) architecture using Informatica Data Services. The concepts and facilities of Informatica Data Services are described in great detail and with real-life scenarios so developers and BI specialists get a true feeling of how it works, what its features are, and what it would mean to develop a DDP-based Business Intelligence architecture using this product.
Informatica Webinar Replay: Data Virtualization Best Practices for a Complete View of Enterprise Data
Join Informatica for a webinar replay featuring Simon Slocombe, Director of Consulting at Evaxyx. During this webinar replay you will learn about architectural best practices to help deliver the complete view of enterprise data.
Many companies struggle to get a single, complete view of the customer and their overall business. Master Data Management (MDM) is often implemented to ensure a single, consistent master data, such as a customer profile or product summary information, across the many systems that exist in an enterprise. But it is not just the data needed for the complete view.