Data is helping businesses move forward at an astounding speed. Companies are gathering and storing data from various sources rapidly for making essential decisions. But what if the data is outdated, bad, or poor?

Poor quality data can prove to be dangerous for any business. Making decisions on such data results in inaccurate analysis, incorrect decisions, deprived customer relations, and much more. And hence, the overall performance of the business is damaged. The data gathered by the companies from various sources is used for marketing purposes. When the data quality is poor, it results in communication errors, accidental insulting processes, and skewed conclusions. This harms the sales, profits, and overall development of the business.

Still doubtful? Let’s take a quick look at certain points describing how a bad or outdated database can be harmful to any marketing campaign.

• Loss of profits

When companies use poor data for marketing purposes, they not only lose their potential customers but other clients as well. This has a negative impact on the company’s revenue. The sales team focuses on bad data and hence wastes their time and efforts on leads that wouldn’t generate profits. Again, they might also fail to reach the right customer if the data isn’t upgraded. Hence, the marketing campaign fails resulting in reduced sales and profits.

• Deluded decisions

Companies collect data for forecasting the future of various marketing campaigns. When poor-quality data is used, it leads to inaccurate predictions. The analysts fail to make accurate decisions, and this has become quite common for companies dealing with huge data sets. Poor data gives incomplete information about the customers, their interests, the products and services they purchase, and much more. With poor data, companies fail to reach the right customers and hence, end up with deluded decisions.

• Damages the company’s reputation

If the bad data is used for one time by any company while working on any marketing campaign, the company loses profits and resources. However, if this happens regularly, the company loses its brand value in the market. When the company fails to protect, identify, and organize the consumer’s data, it affects the reliability and integrity of the company adversely. Again, fixing the data to work on the company’s brand value can be time-consuming.

• Trailing new opportunities

Bad or poor data surely brings out opportunities that are hard to compute and subtle, yet overlooked. Outdated data is a huge loss for business growth as it generates situations where wrong leads are identified or acted on, pre-qualifying leads are not recognized, and probable prospects are left unidentified. The analysts fail to analyze feedback or address issues that help in improving the offering for a successful marketing campaign.

• Waste of time and efforts

Any business succeeds when the marketing, sales, and operational team members spend hours together to handle new opportunities. However, when the analysts use old or poor data, all the efforts of the team members go in vain. On the other hand, ascertaining and correcting poor or incomplete data manually is a hectic and time-consuming job. Poor data obstructs the ability of the company or team members when solve a potential issue. Companies might also miss out on important opportunities as they waste their time and efforts on false issues resulting in loss.

Conclusion:

Is your company lacking the required growth due to an unproductive database? Give your database a productive boost with Data Plus Value, one of the most reliable data mining services providers. We help companies adopt new trends and stand the competition firmly by working over their uncreative database. For further details, get in touch with our team at the earliest.