Database Migrations Made Easy for You by Mergemill Pro

A good database migration tool restores your freedom of choice on the database management system (DBMS) most suitable for each of your purposes. When you need to move data between them, use Mergemill Pro to connect to these databases via ODBC and migrate the data easily.

As a database migration software, Mergemill Pro can directly read data from and write data to ODBC-compliant SQL data sources via appropriate drivers. What makes Mergemill Pro much more useful than other tools is its powerful data processing features. A good application is to read data from and write them back to the same DBMS, and manipulate the data in transit to perform a roundtrip processing of the data to improve their quality.

Why use a database when you can so easily store contents in spreadsheets and plain files? You will soon discover that, by managing data in a database from day one, you save a lot of data quality headaches down the road, and reap plenty of long-term benefits in the ease of extracting valuable information from a database. When the time comes to repurpose your data to meet a new business goal, a DB migration and data processing tool like Mergemill Pro helps tremendously.

To ensure the best return on your investment of resources, you need to know when a database is called for, and how you may best use it:

• Gain in Data Storage, Maintenance, or Retrieval Efficiency: A database is immediately useful if a large volume of data is involved. In those cases, efficiency gains in data storage, maintenance and retrieval are already significant and obvious benefits.
• Data Access Flexibility: Great value is returned if the data can be accessed by many users with different access devices regardless of location.
• Workflow Automation or Productivity Boost: Any series of repetitive or time-consuming tasks is a prime target for automation, which is far easier to do with databases.
• Structuring and Relating Data: A good data storage structure makes possible the interpretation of seemingly meaningless data, and brings to the surface patterns, trends, and tendencies in the data. RDBMS (Relational Database Management Systems) makes it a lot easier to structure data and build application logic to extract valuable information. One obvious benefit of an RDBMS is that you only need to enter the same information once and related tables can all use it.
• Decision Support and Data Warehousing: A relational database system can be critically important to the success of an organization if tools and facilities are available to extract information essential for formulating strategies and making important decisions. Such strategic analysis of the data typically focuses on trends, factors driving those trends, and insights gained by different perspectives in looking at the data.
• Data Mining: It is the use of mathematical algorithms and techniques to discover relationships in the data that wouldn't be made apparent by other tools. This needs to be done only when analysts believe there are still undiscovered relationships that may affect the business, and all current data warehousing tools have been used. Areas in which data mining has been most successfully used include micro-opportunity marketing. Discovering clusters of unusual buying patterns within certain small groups might drive marketing campaigns aimed at small audiences with a high probability of purchasing products or services.

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