Advantages of data warehousing
There are both advantages and disadvantages of data collection methods in statistics. The main advantages are the metrics and correlation one can draw from statistics. The disadvantages stem from sampling errors.
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1.) Discrete: restricted to integers; ordinal subjective
The advantage of harmonic mean is that it is used to solve situations in which there are extreme data values to true picture. The disadvantage of it is that it can be time consuming to evaluate the data.
ADVANTAGES 1. they smoothe the data and make it easier to spot trend. 2. They remove short term noise from the data set. 3. They they are easier to use than regression models. DISADVANTAGES 1. requires saving lots of past points. 2. Lags behind a trend. 3. Ignores complex relationships in data.
The advantages of warehousing is having plenty of product ready for shipment. A disadvantage is the cost associated with having that much inventory sitting in a warehouse.
disadvantages in data manual processing
Advantages of data warehousingOne consistent data store for reporting, forecasting, and analysisEasier and timely access to dataImproved end-user productivityImproved IS productivityReduced costsScalabilityFlexibilityReliabilityCompetitive advantageTrend analysis and detectionKey ratio indicator measurement and trackingDrill down analysisProblem monitoringExecutive analysis.
There are both advantages and disadvantages of data collection methods in statistics. The main advantages are the metrics and correlation one can draw from statistics. The disadvantages stem from sampling errors.
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advantages of object oriented data base
Advantages and Disadvantages of primary data are: Advantages 1. Data is basic 2. Unbiased information 3. Original data 4. Data from the primary market/ population 5. Data direct from the population. Disadvantages. 1. Large volume of data. 2. Huge volume of population. 3. Time consuming 4. Direct and personal intervention has to be there. 5. Raw data.
Flint solutions is one of the major institutes in Bangalore to teach data warehousing. Big data also now competes with Data warehousing.
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what role should HIM professionals play in data warehousing development