Data entry is an essential part of any business. When data is analyzed, it can provide valuable insight to help drive business initiatives. In order for data to be valuable, it must be accurate. Many businesses implement a manual data entry process but find that trying to balancing both data quality and consistency is a difficult task. Large volumes of data entry need to be organized and completed with quick cycle time in order to maintain its value and achieve accurate data entry. Since human error is one of the most common reasons for inaccurate data, how do businesses ensure the accuracy of their data entry tasks? Read More
Data entry is the most commonly implemented method of utility bill processing. However, traditional data entry methods are incredibly inefficient. While there have been improvements over time, many businesses are still inefficiently entering utility bills by hand. This slow and redundant process has a higher likelihood for errors and a slower cycle time increases the chance of late payments. With the rise in automation technology, businesses have been finding solutions to utilize technologies impacting utility bill processing. Read More
The need for data has been rising in demand for utility and sustainability providers. Utility data provides important historical and trend data that allows businesses to analyze and forecast usage as well as flag any discrepancies that may arise in a bill. As a result, there is increasing pressure for these companies to build a growing database of utility data that provides greater visibility. The challenge many of these companies are facing comes from the manual nature of collecting bills and entering them into a system. Utility bill management often requires collecting and normalizing data. In order to overcome the challenges of utility data collection, utility solution providers are searching for a more automated solution. Read More
Machine learning and artificial intelligence greatly increased the efficiency of businesses by automating various back-end processes. Using tools such as data capture and bots allows a larger volume of data to be extracted and verified to reduce the turnaround time. By utilizing a set of rules, it allows a more uniform and consistent set of data to be extracted. While these modern technologies such as RPA have been shown to increase efficiency, there are often variables that are overlooked which can easily lower accuracy and quality. Read More
In today’s business world, there is a greater need for increased efficiency to capture, understand, and utilize large sets of data. Automated data capture optimizes the ability to extract data through automated means. Simply put, it helps reduce the amount of time and effort required to process data-intensive processes. Automation of the data extraction process also helps streamline and maintain data consistency to reduce manual errors. Read More
What is the number one goal of a business? The most common answer you will hear is that businesses want to make a lot of money. While it is not entirely false, making money is only the byproduct of the main goal of achieving success in a business. Read More
With the correct blend of skilled technical people, Machine Learning, and AI technologies, leading businesses are rapidly transforming their back-office operations. Enter robotic process automation services where software is being used along with artificial intelligence (AI) tools and machine learning capabilities to handle high-volume repeatable tasks that previously may have been purely manual effort driven. Read More
The technological age demands businesses to constantly increase efficiency when it comes to accuracy, quality, and productivity. Paper forms and applications are still being used in many industries such as the financial, medical, and legal industry. Two of the most common challenges of application form processing is efficiency and accuracy. Read More
In order to stay ahead in the competitive business market, there is a stronger reliance on modern technologies to optimize work processes. However, many businesses lack the resources to efficiently manage their data due to the many challenges of data entry. As a result, businesses often look for data entry outsourcing companies as a solution. Read More
One of the most common questions any business comes across is: when should you outsource? While your business is growing, certain in-house tasks become difficult to keep efficient such as data entry or document processing. With tight budgets and deadlines, businesses start looking towards a BPO as a strategic move towards increasing productivity and reducing costs. Read More