To correctly analyze and diagnose business problems this is also the most difficult part product . Design knowledge is basically of no help in this part of the work if you . Want to do a good job in business analysis and diagnosis you must have a . Solidview details the following is a summary of variables for business background and objective laws . Some common ones are basically summarized and can be used as a reference when troubleshooting . Report data anomalies usually objective laws are more able to reflect data anomalies because data .
Have Certain Standards or Rules the Other
Have certain standards or rules the other is to explain or predict data changes in . Conjunction with business background or industry thailand email list conditions these two sets of data anomaly identification methods . Can basically be summarized by a set of decision trees business data multitable comparison verification . User behavior analysis construction usually creates a separate behavior data collection system which indicates that . There is more than one set of related data tables and generally there are business . Background data channel delivery data etc at this time we can sample and compare the .
Relevant Core Indicators or Market Data if
Relevant core indicators or market data if the data does not match it means that . There is a problem with the construction of the data report choose a platform that offers generally the interface data . Of the business background will not be wrong if you encounter data mismatches just check . The report or collection system honestly how to fix data indicator anomalies when a set . Of user behavior analysis reports is just built there are only two reasons for abnormal . User behavior indicators on the one hand there are indeed abnormal behaviors in the user .
Group That Bring Abnormal Data or Trends
Group that bring abnormal data or trends these need to be combined with business marketing . Or external factors to find the cause ca cell numbers but it is certain that the abnormal data . Is correct and does not lie for example the coupon configuration of the product is . Wrong and an amazing discount is given resulting in the order volume data and trend . Far exceeding the past the data looks abnormal but the corresponding abnormal cause can be . Found on the other hand there is an error in your data collection and calculation .