There’s no doubt that the quality of data counts. Your data doesn’t exist for existing sake; it is indeed important for the organization’s performance. Data will place you well above competition by guiding your business actions on sales, operations, and many more.

Keep away from making risky strategic decisions by subduing data quality. In this article, we will show you strategies you can use to improve your data quality. Then you will be able to use the data to make the right strategic decisions necessary.

Standards for Data Entry

It is vital for any organization looking to increase data quality to have an approved set of criteria for applying data to a customer relationship management (CRM) system or other business systems.

However, to complete a new record in the framework, the specific data standards’ details would be company-specific and should be defined.

Develop a Direct Marketing data collection approach

Preferably, use database or sales form post for direct marketing. Utilize minimal values, domain pre-population, and field authentication to enable users to change their form details. Having users fill-up the form instantly, you have significantly raised the chance that they will not leave the form and eventually submit it. Technology can help auto-fill those areas on the document itself and improve the remaining areas with back-end contact and business data, rendering it easier for the customer to fill out and making it straightforward for the sales representative to locate more information from users.

Utilize technology to your benefit

You will possibly notice your company collecting huge volumes of data can’t be managed without technology. One of the most significant aspects of improving data quality is the introduction of data management technology. Before applying them to your business plan, ensure you optimize the technology you use. This is because, utilizing various technologies around the organization will complicate your efforts instead of improving them.

Informing and Training

Whether or not the data entry requirements are formalized, the organization’s protocols should be made known to all. Implementing practices can be increased if employees can understand the benefits to themselves and the work. Include the instruction on these practices in the staff training program and give feedback to those concerned, following the planned data quality analysis.

Evaluate the accuracy of the existing data quality

After you understand the desired data quality measures, it’s time to look at where they are now. You can’t execute fresh data quality control strategies when you don’t know the level you are.

Find out where you stand in regards to where you ought to be and proceed from there. Momentarily, you may not even know where the data quality is. Having a grip on the present scenario would give you a significant benefit.

Enhancing data quality would yield success easily. It increases the operations of your business, which improves your result. With fantastic data, you will have the information needed to make the company more effective.

 

If you need help, iData is here! You can also check out the Getting Started with Data Quality  and Advancing Your Career in Data courses from the iData Quality Academy.

 

Your Data Quality Primer: Everything you need to know

Welcome to your Data Quality Primer from the iData Quality Academy – in this useful guide you’ll find everything you need to know to improve your understanding of data quality, assorted into useful categories for you. You don’t have to read through it in order, you can jump right to the section you’re interested in!

Your Data Quality Primer: Everything you need to know

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