The reality of working with an outsourced team in the Philippines

Published by Fair Trade Outsourcing on October 14, 2022

In today’s overworked, understaffed working environment, outsourcing has become the most potent option for enterprises in the U.S. to overcome industry challenges. Outsourcing services have quickly become popular for many large and mid-market businesses with no limitation on tasks, operating hours, and skills. BPO services excel in helping businesses with Read more…

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outsourcing services

The reality of working with an outsourced team in the Philippines

In today’s overworked, understaffed working environment, outsourcing has become the most potent option for enterprises in the U.S. to overcome industry challenges. Outsourcing services have quickly become popular for many large and mid-market businesses with no limitation on tasks, operating hours, and skills. BPO services excel in helping businesses with Read more…

The Importance of Accurate Data Entry in the Logistics Process

The Importance of Accurate Data Entry in the Logistics Process

Why does data quality matter? It matters because it increases business efficiency. Second, it reduces costs. And third, it enhances customer satisfaction.

Improving data accuracy has been the major goal of companies to avoid delay and paying out of the budget costs for bad data. Furthermore, it was more expensive to pay for the wrong data than producing clean data at the first try.

Your financial reporting and business planning can also be affected by bad data. An accurate data entry yields good results making the supply chain operation successful. It boosts the companies productivity, resulting in a business that provides quality service to its customers.

3 Big Benefits of Data Cleansing and Data Enrichment to Your Company

3 Big Benefits of Data Cleansing and Data Enrichment

Regardless of the technology that we have now, either data cleansing or data enrichment remains a tedious task, but one that keeps your company standing firm on solid ground. It comes as no surprise, therefore, that many companies resort to outsourcing to make sure that critical data-related processes continue to run smoothly.

You may be using powerful software for data analysis or running your own algorithms, but remember that they can only give answers based on the quality of data entered. And, you can only get quality raw data through high-volume collection methods done by humans connecting with your customers and interacting with them in a meaningful way. As of now, humans remain the cheapest, most accessible, and most reliable tools for that.

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