How can Google improve on their data storage and processing?
The folowing steps will help and ensure the improvement of data
storage and processing
1.Reduce Data Redundancy:
There has to be a periodic review of forms, applications and other
data documents to check for the relevant data content. Forms that
bring up obsolete data should be redesigned so as to involve only
relevant data. Redundant data must be removed.
2.Data analytics:
The process of analysis of data for completeness, correctness,
uniqueness, reasonability and consistency.If this is not done,will
lead to wrong predictions and analysis. It is the process of
identification of defects in the data.Sometimes, even in valid
accepted data, there can be instances where data is wrongly
entered. This incorrect information has to be restricted from
flowing downstream as it would result in rework .
The basic Analysis methods are:
Error cluster analysis:
approach, which tries to narrow down the sources of errors. Here,
the inaccurate data set is analyzed to arrive at the source
error.
Data event analysis:
approach, where the events where data is created and changed are
studied in detail to identify the root causes of problems.
3.Prevent Data Defects:
Defect prevention involves taking steps that reduces the entry of
wrong data. It is a continuous process, critical to improvement in
data entry.Steps like creating intelligent forms which can validate
entered data, identify wrong data and ask operator for re-entry,
should be taken.
Ennsuring above will also improve the processing...
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