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Data Management Services :: Data anlysis |
| Data Analysis |
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Data analysis is a business process which
runs by setting some business objective through project
planning, data assembly, data cleaning, data structuring, data
analysis and data mining to get better results in knowledge
process outsourcing. Web data analysis is no more different in
its basic theme from data analysis but there are significant
differences on an operational level. |
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Specific outside expertise and experience may
be needed at each or every stage of a data analysis. Extensive
in-house IT support teams often find the impact of the data
cleaning and structuring task to be a particularly challenging
workload in the field of knowledge process outsourcing. Some
organizations require one particular outsource package in the
form of the focused application of a specific practical skill to
get a job done to meet deadlines to complete their targeted part
of data management. Other organizations prefer to outsource the
whole data management and analysis process. |
| There are some major aspects which
must be considered in Data Analysis |
| Data Relevancy |
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The quality of data is most important factor
in data analysis for knowledge process outsourcing. You must
clear how relevant your data is for use in a specific context
and how any deficiencies can be corrected. |
| Data correctness |
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Your data must be correct (free from errors)
and may need to be transformed (re-structured) prior to analysis
and to allow it to be shared between computer systems and
applications. |
| Data Flexibility |
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Flexibility is another important criteria in
data analysis. Data from operational systems and normalized data
warehouses is seldom efficiently usable, if useable at all, by
analytical algorithms and processes. Your data may need to be
re-structured to facilitate analysis. |
| Data integrity |
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Complex IT environments are common with
systems and software from many suppliers being deployed across
the organization. You may need to migrate the right data to the
right place in the right form and the integrity of data must
remain constant. |
| Data Analytics Design |
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You should regularly check and edit your
business processes and operations in the light of your strategic
and commercial objectives to ensure that no key goal or
indicator is remaining unsupported by appropriate, timely and
accurate data. |
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Designing data analytics into your business
processes enables you to further empower your business from data
and allows you to gain an enhanced commercial position in the
outsource market. |
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