2019 saw many of our informative blog posts getting extremely popular among readers. Our blog section deals with various topics in relation to data entry, document conversion and scanning, data indexing, imaging, storing, etc. All through 2019 our posts have enlightened readers from information technology, legal, medical and other industries. So let’s take a look back at our top 10 most popular posts of the year.
1. What Are the Benefits of Using OCR in the Insurance Industry?
OCR refers to Optical Character Recognition, and is an important aspect of electronic document conversion where handwritten or typed text is converted to machine text. Recognizing characters from documents is essential for perfection in effectively converting them to a digital format that is searchable and editable. In this blog we tell you how important OCR is for document conversion and processing for insurance companies.
2. What Is the Difference between Data Migration & Data Conversion?
Data migration & conversion are integral for business projects. You may need to migrate data from one CRM to another or from various databases to a single database. Data conversion is a different task and involves converting or transforming data from one format to another one. Despite the differences in the tasks, the terms “data migration” and “data conversion” are often erroneously used interchangeably. We clear the air and shed light on their differences.
3. Benefits of Reading Traditional Books and EBooks
eBooks are the rage these days, and we find eBook readers commonly used, which is why eBook conversion is in much demand. eBooks only need an SD card to store tons of books. They make downloading books and digitally buying them easy too, and the lit screen of the reader makes reading in the dark also possible. But conventional books aren’t exactly getting extinct, and there is a special feeling of reading a physical book and turning the pages. We decided to get deeper into both the experiences.
4. How to Reduce Data Entry Errors with Machine Learning
By nature, data entry is prone to errors. This task of converting documents into convenient digital formats is essential for businesses, but errors can be detrimental to the intended goal. That’s why you need advanced machine learning which can help reduce the errors in data entry. We show you how.
5. How Machine Learning Can Assist In Data Entry Automation
Data entry is quite a time-consuming and tedious process. That makes it prone to imperfections and errors. Automating data entry helps reduce the errors and raise the level of accuracy while doing it fast. One of the key aspects of data entry automation is machine learning. We examine how machine learning contributes to the success of automating data entry.
6. 2019 Key Digital Transformation Trends for the Retail Industry
The retail industry has long been under the digital transformation cycle. The rise and immense popularity of online retailers such as Amazon is proof of that. Digital trends involve the use of innovative tools for engaging customers and making their online shopping experience more convenient from their home, office or wherever they are. Convenient, quick and secure payment gateways are also part of the process. In fact, there are a lot of trends and factors that make digital retail a success, be it online or even in the physical store. We take a look at some of the most important digital transformation trends shaping retail.
7. Benefits of Business Process Outsourcing in the Insurance Industry
The insurance industry is governed by strict regulation, but is also influenced by changing market drivers. The intense competition has put pressure on insurance companies to raise the bar with regard to increasing their turnover ratios. But they also need to maintain a pricing model that is competitive. In short, the insurance industry is going through a transformation, and business process outsourcing can help the players in the industry perform efficiently and sustainably.
8. Healthcare Data Aggregation and Integration Vital to Deploy AI Solutions
Business data, or healthcare data in this case, helps assess various activities in the organization for internal as well as external applications. But data can be exhaustive and it therefore needs to be meaningfully presented and interpreted so it can be really used for decision making. That’s where innovations such as robotization, digitization and artificial intelligence (AI) come to the fore. We analyze the importance of these technologies in effective healthcare data aggregation.
9. DataOps: A New Approach to Data Management
The DataOps technology is in its initial stages, but its potential in automating data management is already being realized. With automated data delivery, businesses can be made more agile and efficient. The technology can also contribute to improving the quality and security of data. We analyze this technology in detail in this post.
10. Why Businesses Should Outsource & Outsourcing Trends in 2019
2019 witnessed many outsourcing trends. Analyzing these trends proves the importance of outsourcing for businesses in various industries. There is always a balance that needs to be maintained between performing the core tasks and the non-core ones. Customer service is one of these non-core tasks. Striking the balance is tough though, and it is therefore essential for outsourcing services to help businesses streamline themselves.
As you enter a New Year and a new decade, it is interesting to just imagine the trends and technology we would be talking about decade or even a year later. Looking back on these blogs gives you insight on what to expect in the future in the field of digitization, AI, document scanning and conversion, and data entry.
