Spreadsheet & Database Conversion Service
Convert Excel Spreadsheet to Microsoft Access Database
Converting Microsoft 2000 Access to 2003 to Access 2007 to
Access 2010 to 2013 is a hot topic at Fortune 1000 companies. Many
companies have delayed expenditures over the last few years and as a result are
looking at a major hurdle to installation of the new Microsoft Office suite of
products and the new Microsoft operating systems.
Microsoft Access is a fully capable database and it's primary limitations is the number of concurrent users it will support. Generally, we recommend a limit of 10 to 15 users.
We create databases large and small. Some of our databases help run entire small businesses. We also handle unique businesses such as flyrod manufacturing, cheese making, marina management, and cable tv inventory.
There are thousands of companies out there who are about to convert their Microsoft Access 97 and
Access 2000 databases to Access 2010 or Access 2013. Our consultants can
facilitate the conversion process for you. Please
contact us to discuss your specific circumstances.
We perform database, program and spreadsheet conversion to Microsoft Access. Our Access developers will review
your existing relational database design and recommend improvements or we will recommend a complete design for flat-file data and
spreadsheets. We can usually migrate all of your data as we convert your program. During this process we often find inconsistencies
and errors in the design that we can resolve with your input.
If you have tried to convert an application from Access 2000 to
Access 2010 and received some errors about the visual basic code or about some component being corrupt, don't be alarmed, we can help you fix the problem or do the conversion for you.
Excel spreadsheet conversion to MS Access is not an automated
process. The code and sheet/cell relationships cannot be retained so the
new database must be design from the beginning.
Usually the layout of
spreadsheet data with columns for different data categories, such as years, part
numbers, categories, months, etc. must be reorganized in the tables of a
relational database. Typically column headings such as categories, months and years will be changed to field values in the records on
the database. The result is a flexible and more efficient design.