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Reduce costs and eliminate waste

Poor data quality can be costly. With data being collected across multiple channels for a wide range of uses, it’s no surprise that most companies believe their business performance is limited by inaccurate and incomplete data. Leveraging data quality tools within your organization can save wasted time, money, and resources. Consider where those extra dollars or employee hours could be used when they aren’t being spent on manual rework. 

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Without trusted data, you waste valuable resources on reactively solving for business problems.

of organizations trust their data to make important business decisions. 

of organizations rely on educated guesses or gut feelings to make decisions based on their data. 

of organizations believe that inaccurate data is undermining their ability to provide excellent customer experience. 

* Source: 2017 Global Research Report

Proactively manage your data.

Just because you can’t see it, doesn’t mean it’s not there. Some of the negative side effects associated with bad data, like hard operational costs, are easily identified. Poor data quality also negatively affects areas of your business like the customer experience or employee time spent. By leveraging the right data quality solutions, you can be sure to reduce costs and eliminate wasted resources that could be better used elsewhere in your business. 

  • Reduce returned mail and speed up delivery times
  • Reduce call handling times
  • Limit operational costs
  • Ensure your customer communication is effectively delivered

Make the most of every interaction.

of retailers believe that data quality issues impact customer trust and perception.

  • Clean data to improve email personalization programs.
  • Avoid returned mail by ensuring customer addresses are accurate.
  • Accurate information is the key to effective marketing.

Increase business performance.

With a foundation of data you trust, you can accomplish short and long term business objectives. With quality data you can focus less of your organization’s time, money, and resources on correcting data errors and identifying business problems. Instead, with the right data management tools you can allocate those business resources to more impactful projects. 

Be certain you are only working with accurate data, and that you have an effective way to manage the information.

With the right data quality solutions, you can be sure that you are only working with data you can trust. Save your business time and money by only collecting deliverable addresses, emails, and phone numbers. A foundation of quality data means you’ll see a healthier bottom line and happier customers. 

With an effective data management strategy, you can be certain that all of your company’s resources are allocated to the most important areas. Proactively profile your data, discover relationships between siloed information, and create business specific definitions so you can more effectively make data-driven decisions. With our best in class data management practices, you can be sure to maximize your organizations resources. 

Saving wasted resources is the first step to improving overall business performance. Next, you need to leverage your data for future business opportunity. This can only come by appending additional insights to your data. Power growth opportunities by ensuring the information your organization collects reaches its full potential.  With our help, your organization can maximize data insights to be certain you are getting the best possible return on investment. 

 

Saving your organization time, money, and resources in the long run. Invest in your data quality today.

At Experian, it is our goal to help you and your business reach its full potential. By investing in data quality solutions, you are saving your organization time, money, and resources in the long run. We realize the importance of maximizing business performance. With our help, you can be sure that every resource is going towards an impactful business goal, and will positively impact your bottom line.