Data Migration
Migrate data from legacy to modern systems quickly and efficiently

Providing new functionality to existing systems often involves migrating data from legacy to newly deployed applications.  Successfully managing the deployment, implementation and testing of new applications is challenging enough without having to worry about the successful migration of data from old systems to the new ones.  In fact, data migration is one of the most frequently ignored aspects of new application deployments and is often one of the costliest mistakes an organization can make.

Application deployment costs can escalate due these unplanned and often poorly executed migrations – to as much as 10 times the originally projected budgets, putting added stress on the organizations finances and often resulting in partially deployed systems that adversely affect the organization’s financial performance.
With data integration packages that start below $2500 for small businesses and $10,000 for mid-sized organizations, EMANIO can solve your Data Migration challenges.

Challenges
Data migration is often expensive and risky because of several key reasons:

• Accessing legacy systems often requires key skill sets that are difficult to find and can be expensive
• Lack of up-to-date documentation
• Migrating multiple systems requires resolving redundancies and inconsistencies in data
• Iterative "try and learn" design processes expose the unmanageability and delays associated with hand-coding

EMANIO Data Migration Solutions
EMANIO helps organizations successfully deploy new systems and migrate data from legacy applications under budget and with greater accuracy through the use of a highly scalable data integration platform that provides enterprise grade performance and capabilities at affordable prices.
By leveraging EMANIO’s data integration platform for data migration organizations benefit from:

• On-time, on-budget deployments of data migration projects
• Minimized risk of cost overruns, or project delays
• Improved data accuracy across systems and organizations
• Improved bottom line performance through lower deployment costs and improved data accuracy and responsiveness

Key capabilities include:

• Easy access to multiple data types through an architecture that supports both modern and legacy systems
• Powerful features to discover content, structure and quality of data in all systems and reuse of those findings in the transformation process
• Sophisticated transformation capabilities to reconcile all data
• Enterprise-class engine capable of processing over 20,000 data items per minute
• Rapid deployment through the use of pre-build Application “packs”