Difference between revisions of "DSA and Importing Data from MS Excel and/or MS Access"

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(Intro)
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Both approaches have pros and cons discussed below.
 
Both approaches have pros and cons discussed below.
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==== See Also ====
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* [[Import_Table_Wizard| Import Table Wizard]]     Import data via DataSelf ETL.
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* [[ETL MS Office Drivers]]     Required drivers for importing data from Access to DataSelf ETL .
  
 
== Import via Ultralight Data Warehouse ==
 
== Import via Ultralight Data Warehouse ==

Revision as of 19:08, 4 October 2017

Intro

There are two main ways to bring MS Excel and/or MS Access information into DSA client tools:

  • Import the data via DSA ultralight data warehouse;
  • Import the data directly to a desktop client using Tableau regular licenses.

Both approaches have pros and cons discussed below.

See Also

Import via Ultralight Data Warehouse

Pros:

  • The data integration process is validated by technical users. It's common to find data integrity issues and inaccurate information coming from Excel or Access sources. In the long run, proper data validation procedures often prove to be the most important benefit of importing via the data warehouse.
  • Licenses cost is usually lower than using Tableau regular licenses.
  • The process to import and refresh data into the ultralight data warehouse is quick and easy.
  • These data sources can be refreshed (re-imported) by running a simple batch file on the DSA server and/or by an automatic scheduled procedure.

Cons:

  • Business users will have to request IT to do a one-time procedure of integrating the data on the server before they can do analytics from it.
  • IT must have basic knowledge of MS SQL Server tables and views in order to do the job.


Import Using Tableau Regular Licenses

Pros:

  • Business users can bring data into the analytics client by themselves.
  • Business users can do the refresh of data by themselves.

Cons:

  • Licenses cost is usually higher, in some cases significantly higher.
  • Inconsistent or incorrect data may be factored into reports and dashboards. This increases the risk of losing the "one version of the truth". In the long run, this approach can prove to be a costly issue affecting your decision making process.