Key Data Cleansing Tips for Businesses

Key Data Cleansing Tips for Businesses

For businesses dealing with huge piles of data, cleansing data is important to achieve process efficiency and customer satisfaction.

Accurate data is important for the proper functioning of any business. Identifying and validating data quality issues at an early stage can help organizations to improve operational efficiency, and help manage financial losses and missed opportunities. Irrelevant data includes duplicate records, lexical errors, misspellings, misfielded value problems, domain format errors, missing values, cryptic value and abbreviations and contradictory data. Data cleansing services help maintain high data quality by identifying and correcting inaccurate data in a dataset. Once the process is done, all outdated or incorrect information disappears and only the highest quality information is retained.

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Data cleansing tips – Set a Data Quality Plan • • •

Create data quality key performance indicators (KPIs) Develop a plan to keep your data clean Identify areas where errors occur and the root cause of incorrect data

Data Assessment • • •

Identify areas that may need updating Compile the data and initiate the data assessment process The assessment will provides information on how much data cleansing must be done

Create a Spreadsheet to Cleanse the Data • • •

Make a copy of the spreadsheet and make changes to the data in the copy After cleansing the data, copy the updated sections into the original sheet This will help secure critical information if any mistake or error occurs

Use Functions to Ease the Task • •

Make use of functions in the spreadsheet to let the program work for you Using data cleansing software can ease the task

Data Standardization and Normalization • •

Ensure the consistency of data throughout the database Create a standard operating procedure (SOP)

Verify Data Accuracy • •

Verify records and match them against up-to-date sources of information Take steps to identify duplicate data records

Easy Data Mapping • •

Correctly map data from source to transformation and then to the destination Easy data mapping enhances the usability of a data scrubbing tool

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Update Data • •

Keep your database clean, accurate and consistent Identify missing details and update related information to ensure reliability of data

Clean data helps reduce unexpected costs. Choosing the right data cleansing method depends on the type of data businesses deal with. Incorrect data issues can be easily avoided by following proper procedures during the design and execution of cleansing. Outsourcing the data cleansing task to an experienced data entry company is an ideal option to ensure that the data is as accurate and consistent as possible.

www.managedoutsource.com

1-800-670-2809