International Data Corporation (IDC) projects that by 2025, fresh data generation will have increased by 61% from 2019 levels to reach 175 zettabytes. According to this analysis, between 80 and 90 percent of this data is unstructured, making it difficult for machines...
Key Customer Data Collection Techniques
Companies collect a wide range of information from their customers, encompassing personal data, engagement data, behavioral data, and financial information. Personal data includes contact details, residential information, and government-issued identification....
5 Best Practices to Implement a Successful Data Entry System
Accurate and timely data is a basic requirement for every business. Sales reports, customer records, inventory, billing, compliance reports, and analytics all depend on the data entry process. When execution is weak, errors spread across systems, decisions slow down,...
AI in EHRs – How Usage of AI Helps Improve Electronic Health Records
The adoption of advanced technologies such as Artificial Intelligence (AI) and Data Science has brought significant changes to the healthcare industry. Reports suggest that physicians tend to devote about 62 percent of their valuable time per patient reviewing...
What is Data Integration and Why is it Important?
Data integration is the process of combining data from different sources and formats to provide a consolidated view of the data. It involves extracting data from various sources, converting it into a standardized format, and loading it into a target system, such as a...
10 Tips for Optimizing Document Processing Workflows for Increased Efficiency
Documents play a crucial role in an organization's daily operations by allowing them to store, manage, and share information internally and externally. From invoices, purchase orders, and contracts to reports, memos, training manuals, policies, software documentation,...





