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 In Data Cleansing, Data Standardization

data standardizationUntil several years ago, data used by companies was limited in quantity and complexity, and was nowhere near to what is available today. With the advent of mobile applications, social media, and all the modern communication channels, companies have experienced an incredible increase in the quantity of data available to them. But simply collecting, storing and processing large amounts of data doesn’t necessarily lead to better business outcomes. To drive better business decisions, you have to be able to get a comprehensive view of your customers. A common approach that helps businesses to deal with the large amounts of data is to regularly perform data cleansing and data standardization.

What Is the Difference Between Data Cleansing and Data Standardization?

Data Cleansing

Data cleansing is the process of improving the quality of data by discarding or correcting incomplete, irrelevant, or inaccurate data. Usually, one performs data cleansing on data that is at rest. Its aim is to provide complete, consistent and accurate data. Only when you cleanse your data, you can use it to gain insights that will help your company to make better decisions.

Data Standardization

It deals with transforming the data that was acquired in different formats to a standard format. Data standardization is often used to correct and harmonize data, but it is also an important prerequisite when performing a deduplication.

How To Prepare for Data Cleansing and Data Standardization

A data audit is the first and maybe the most important step you have to perform before engaging in a data cleansing and data standardization process.  In short, it will help you identify the most common issues associated with the quality of your data.

Let’s see some common examples that you should consider when performing a data audit:

  • Company names: entered both as “Ltd” and “Limited”
  • Countries and states: entered both as “NY” and “New York”
  • Addresses: entered both as “Rd” and “Road”
  • Common mistakes: “Corpration” instead of “Corporation”, or “Engleand” instead of “England”
  • Phone numbers: entered both with an international prefix or without it

With this information on hand, the next step is to set up a software program able to correct such errors.

Performing Data Cleansing and Data Standardization

Due to the large amounts of data that businesses collect these days, it is almost impossible to cleanse and standardize your data without using automated programs.

Word Manager, one of the most important cleaning features of WinPure Clean & Match, is specially designed to correct the most common errors and help you harmonize your data. You can create custom dictionaries and spelling checkers for any language. Also, you can save the settings for later use.

Here are the main features of the Word Manager module:

  • Fix spelling errors
  • Find and replace keywords
  • Replace or remove unwanted text
  • Groups and counts all the words in selected columns
  • Allows the creation of custom dictionaries
  • Extract numbers with common prefixes or suffixes
  • Includes several standard Word Manager settings files so you can use them on your lists. You can also create new ones.
  • Allows an unlimited number of Word Manager It is important to note that Word Manager comes with several bundled files that will help you get started quickly.

Benefits of Data Cleansing and Data Standardization

Accurate, cleansed, standardized, and consistent data bring several important benefits to companies that depend on it to deliver better results.

Cost Reduction

Currently, many organizations collect data in free-format which usually leads to all kinds of errors.  These include inconsistent use of abbreviations, spelling errors, duplicates, and so on. By using Word Manager you can make significant gains in cost, time and manpower.

Improved productivity

Word Manager will save your staff’s time by providing them clean records. For example, your sales team will not have to waste their time trying to contact customers using inaccurate or obsolete information.

Improved Customer Acquisition

Accurate data, cleansed, and standardized, can help in the marketing process. It brings better returns on your email or postal campaigns.

Better decision making

Let’s say you have outdated customer data. Or maybe it is not accurate. An analytics or business intelligence software, no matter how advanced, will not bring you the much-needed insights. On the other hand, cleansed and standardized data will lead you to better decision making.

Conclusion

You can’t ignore the impact of dirty data on a company’s costs, time, and assets. Fortunately, WinPure Clean & Match and its Word Manager module are designed to help you easily solve any issues you might have with your dirty data. Moreover, WinPure Clean & Match’s friendly user interface and the Word Manager files that come bundled with any installation will help you start using it in almost no time.

Download the 30 days free trial and see for yourself how our WinPure Clean & Match can help you.

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Comments
  • Jude Kelly
    Reply

    We have been using the word manager since we bought the software last year and its a wonderful feature, keep up the good work guys!

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