Data cleaning problems and current approaches ppt

Data cleaning is a crucial part of data analysis, particularly when you collect your own quantitative data. After you collect the data, you must enter it into a computer program such as SAS, SPSS, or Excel. During this process, whether it is done by hand or a computer scanner does it, there will be errors.

Arial Times New Roman Wingdings Verdana Symbol Courier New Arial Unicode MS Default Design Microsoft Word Document Data Quality and Data Cleaning: An Overview Based on: PowerPoint Presentation Tutorial Focus Overview PowerPoint Presentation Meaning of Data Quality (1) Example Data Glitches Conventional Definition of Data Quality Problems …

Data Cleansing: Problems and Solutions. It is more important for any organization to have the right data as compared to a large data set. Data cleansing solutions can have several problems during the process of data scrubbing. The company needs to understand the various problems and figure out how to tackle them. Data cleansing or data cleaning is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data.

Dec 21, 2015 · • Data quality problems occur anywhere in information systems. • These problems are solved by Data Cleaning: • Is a process used to determine inaccurate, incomplete or unreasonable data and then improve the quality through correcting of detected errors => reduces errors and improves the data quality. Data Cleansing: Problems and Solutions. It is more important for any organization to have the right data as compared to a large data set. Data cleansing solutions can have several problems during the process of data scrubbing. The company needs to understand the various problems and figure out how to tackle them.