Even as the sudden and unprecedented switch to remote working took the world by surprise last year, BPO companies like ARDEM channeled their remote working and collaboration capabilities to help companies adapt to the changing times.
More and more businesses today are opting to outsource their data entry and transactional processes to a partner who can handle and manage data with greater accuracy while driving down their operating costs and enhancing efficiency.
Outsourcing essential but repetitive business tasks can help you streamline back-office functioning and gain competitive agility. The competitive advantage in allocating business functions like data entry and document processing to a trusted data entry company is that doing so frees your internal resources to focus on your core competencies.
Every business, whether big or small, runs on high-scale transaction processing that is essential for the smooth functioning of everyday and overall operations.
Processing large amounts of transaction data can be quite a time-consuming and expensive task. It is not just a matter of processing a large volume of data and allocating precious internal resources to do so. As you expand your services, you will need to hire more and more skilled resources to keep up with the increased volume of transactions.
In fact, simply processing the data is not enough. You need to do it with a great deal of accuracy and on time so that you can stay ahead in these competitive times.
So, what is the perfect solution for processing large volumes of transaction data swiftly and accurately?
We have all heard the phrase — “as mysterious as the dark side of the moon,” but the fact of the matter is that in today’s age of space exploration and satellite technology, there isn’t much mystery left.
So, if mankind has been able to solve the mystery of the dark side of the moon, then why hasn’t it been able to solve the mystery of dark data?
In the modern era of digitization, everything runs on data. As we make further inroads into the upcoming age of artificial intelligence and smart automation, the way we capture, extract and process data will undergo a drastic transformation and require smarter data entry services.
As more and more organizations digitize their records and more businesses start opting for real-time data processing, data entry services need to be well defined and incorporate strong process management aided by technology, especially in the outsourcing industry.
In the Survey Workstream at ARDEM, we process a very large number of Surveys daily. These surveys are for multiple different clients and each survey content and format is different. The processing of surveys requires an excess of a hundred separate steps. Starting with sorting and separating of different surveys, file encryption and decryption, data capture of hundreds of fields, data quality audits, data tabulation, creation of presentation charts and ending with data delivery. As a result, businesses often find this process to be time consuming and inefficient. ARDEM utilizes bots for collecting and reporting data from surveys to help automate this process. Read More
Ecommerce is one of the largest and most successful online businesses today, turning in massive profits daily. However, the amount of data tracking and management strategy that goes into its daily routine can be a bit overwhelming. The inventory management process is one of the most challenging aspects of running an eCommerce business. This is obviously due to a large number of products and commodities being constantly tracked, an oversight is always a possibility and this is why one must have well-structured inventory management solutions to scale availability of products, scarcity, up-sales and other parameters of the business. Read More
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