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Why Reach-Out

DID Technology

About Us

Reach-Out.Net

Reach-Out.Net

What engine do you use?

Reach-Out works with the powerful Microsoft SQL Server. Every customer has his/her own

separate database with respective names and passwords. The software cam support millions of

entries and thousands of users working simultaneously. However, very large databases may

require their own dedicated server.

Is there a limit to the amount of material that can be entered into the software?

Every database is limited to the space allotted to it by default – 200 MB on the server. Databases larger

than this will require extra payment. This space is sufficient for small and middle class businesses with

an average of up to 40,000 clients. Clients working on their own dedicated server do not have any

limitations.

How is data imported?

Currently we import all data. The client sends us data organized in an Excel file, organized consistently.

Every Excel column corresponds to the exact field name in Reach-Out, to which you wish to import the

data .Every second level table to be imported should be organized in a separate table. The first field

should be the first field in the program or another single value to serve as a index to import the data to

the correct card. To import general cards there are three options:

Import –No Check. This imports data as it is.

Import –No Update. Checks if the card exists. If the card exists it doesn't change any of the data.

Import – Update. Checks if the card exists and updates data in existing cards. New cards are opened

for entries with no existing cards.

Field types must also be identical. For instance, it is impossible to import text into a date field or to a

number field. Also, the data must be displayed in a homogeneous format – for example the same type

of date format. Data may be imported to different levels and in different ways.

The import process is complex and can damage a database if done by inexperienced users. We will

import your data for you at no additional

Expense We prefer to dedicate the time to insure the quality of your data, instead of spending the time

in support for mistakes or unsuccessful imports.