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Topic: Data Migration
Key Considerations for Boosting IT Productivity: An Informatica Webinar Featuring Gartner
Today, operational intelligence and eliminating costly decisions based on bad data, is top of mind for business and IT stakeholders. To do this, you need a way to identify potential opportunities or threats early enough and take action, and reduce the time and costs of data validation testing.
So, if you are involved in data integration projects, it’s critical that you look at your software development life cycle (SDLC), and look for ways to reduce time, cost and risk across development, test and production. However, there is no single solution that can offer significant savings with proactive monitoring and alerting based on operational and development issues, or provides automated data integration testing.
In this webinar, Ted Friedman – VP Distinguished Analyst, Gartner Research and David Lyle – VP Product Strategy, Informatica, will discuss the key considerations that you need to keep in mind for enforcing development best practices, automating data integration testing and delivering operational intelligence to stakeholders.
During this Informatica webinar you will learn about:
- How to reduce ETL testing cycles by 50 to 80 percent
- How to proactively identify and respond to data integration development and operations risks before they become issues
- How leveraging a single solution can significantly reduce time, cost and risk across development, test and production.
Informatica Public Sector Resource Centre: Best Practices for Delivering Customer-centric Public Services
This Informatica Public Sector Resource Centre provides valuable insight into best practices for integrating information and delivering it to any system in any context – so departments and agencies can rapidly overcome almost any data-centric challenge. These best practices will help eliminate all the different barriers that prevent government organisations from meeting their data requirements for information sharing, transparency, and accountability.
Find out more about the Informatica Public Sector Resource Centre
Data and the dedicated people who use it are the two most important assets for any public sector organisation. Whether data is in unstructured, structured, or archived forms – and regardless of whether it resides inside the enterprise, in partners’ systems, or in the cloud – the ability to get to it, trust it, and use it to drive effective actions is key to increasing operational efficiency and providing truly customer-centric public services.
What you will learn from this Public Sector Resource Centre:
- Best practices for rapidly integrating new form-based online applications with back office databases
- How to mitigate the potential risk of “unmanaged” data input to corporate data quality
- Best practices for integrating cloud data
- How to address the challenges of data being derived from customers/citizens, partners and suppliers in a variety of languages and even different countries
- How high-precision Identity Data can help create a true single view of the customer/citizen
- How to rapidly build data services so data, rules and policies can be reused throughout the enterprise
- The role of an Integration Competency Center within a shared service environment
- How to maximise the value of existing technology investments
- Why collaboration between business and IT is pivotal in delivering truly customer-centric public services
- How pervasive data quality helps create and maintain a true single view of customer/citizen
Find out more about the Informatica Public Sector Resource Centre
| Topics Covered | Data Integration, Data Migration, Data Quality, Identity Resolution, Master Data Management (MDM) |
Ovum Research Report: Informatica Company Assessment
This Ovum Research Report gives an independent assessment of Informatica – with specific focus on how and why the Informatica single unified platform enables a variety of data management initiatives which include: enterprise data integration, data quality, cloud data integration, B2B data exchange, low-latency messaging, Information Lifecycle Management (ILM), Complex Event Processing (CEP), and Master Data Management (MDM).
The detailed report also assesses Informatica’s product roadmap, acquisition strategy and the significance of Informatica’s alignment with evolving trends in Service-Oriented Architecture (SOA) and cloud computing.
The detailed report also assesses Informatica’s product roadmap, acquisition strategy and the significance of Informatica’s alignment with evolving trends in Service-Oriented Architecture (SOA) and cloud computing.
Informatica Water Industry Resource Centre
This Informatica Water Industry Resource Centre is for companies interested in finding out more about best practices for increasing operational efficiency, modernising the business, and ensuring compliance with regulatory and industry standards.
Register for Informatica Water Industry Resource Centre
The water industry has undergone massive changes in the last decade – including deregulation, consolidation, reduced margins and tighter regulation.
These changes have spawned significant information management challenges surrounding the growing volume of data, its complexity and quality. Whether this data is in unstructured, structured, or archived forms – and regardless of whether it resides inside the enterprise, in external systems, or in the cloud – the ability (more…)
Informatica Telecom Data Migration Resource Centre
This Informatica Telecom Data Migration Resource Centre Includes an extensive list of white papers from the industry’s leading thinkers, independent analyst reports, case studies from some of the World’s top companies, product demonstrations, and web seminar replays.
Register for Informatica Telecom Data Migration Resource Centre
Traditionally data migration projects in the telecom sector have been slow, complicated, error-prone, costly, inconsistent, and unpredictable. These projects have also been prone to failure due to five key issues: internal expertise gap, poorly understood systems, development constraints, validation not just migration, and the need to synchronise. Analysts Bloor* state that 84 per cent of data migration projects fail to meet expectations, 37 per cent experience cost overruns, with an average of 30 per cent increase on budget, 67 per cent are not delivered on time – on average overrunning by an additional 41 per cent of project timescale.
| Topics Covered | Application Retirement, Data Migration, Data Quality, Data Services, Database Archiving |
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