Building
database is quite costly these days. But then we have better ways to
fetch required data for free, provided, your a good googler. It is
hard to define the range for database for a specified task. The
important step in building a database is understanding the need and
future result.
- For what we need data?
- What range of data is fine to fine tune the desired task?
- What are the attributes to consider while building and maintaining data/database, etc,.
Internet
made world as a global village, and possible we can get the things we
need right at our eye sight. Sources may differ, but not the result.
Mostly
the activity start from scratch, And it should not expects a fruit
after immediate plantation. The process stats with finding the
suitable sites to fetch the suitable information. It would require
expertise, business understanding, and ambitiousness in building
effective database. For instance, if your a electrical manufacturer,
you would require a data of good established dealers/resellers. For
deal conversion, you would require the basic contact details. Based
on the need, you would increase the attributes, in order to fine tune
your process. Since it is open source, the chances of wrong/duplicate
data is quite high. It would require a professional verification.
By
having a keen idea on data utilization (fetched data from sources in
relevance with business), one can opt better results in terms of
business growth and better profitability.
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