With organizations prioritizing data-driven decision-making, the amount of collected and stored data is reaching historic highs. Meanwhile, organizations are democratizing access across all functions to convert this data into actionable insights. Since more users will work with sensitive data, ensuring secure access is more important than ever. Organizations must regulate and maintain the relationship between their data assets and users. Why?

Process orchestration, also called business process orchestration, is an approach to manage and organize multiple automated tasks or workflows within a business process, like ETL process orchestration. It involves coordinating data extraction, transformation, and loading tasks across various systems to create a unified data source.

Data modernization transforms an organization’s data into more usable and accessible formats, making it usable by modern applications and systems, such as cloud-native applications, IoT devices, and mobile applications. Data modernization also includes extracting, cleaning, and migrating the data into advanced platforms.

Do you know proactive fraud detection and prevention could save organizations up to a staggering $5.9 billion annually? However, gathering relevant data for this purpose is no easy task. Financial data integration plays a crucial role in the fight against fraud, enabling organizations to merge data from various sources and formats into a unified, consistent view. However, gathering relevant data for this purpose is no easy task.

Business analytics is analyzing data to find insights that inform business decisions. Fundamentally, it involves applying data analytics tools and techniques to a business setting to simplify decision-making and improve business outcomes. Often shortened to BA, business analytics includes: With the right tools and techniques, enterprises can turn raw data into actionable insights, driving strategic decision-making and sustainable growth.

Legacy systems have been important in the growth and success of several organizations. However, as these systems and applications age, they slow down and become increasingly costly to operate and manage. As per the U.S. Government Accountability Office, operating and maintaining legacy systems consumes over 80% of IT expenses. Organizations must scale and update these systems to accommodate their evolving business needs. This is where legacy application modernization can help.

The Health Insurance Portability and Accountability Act (HIPAA), established in 1996, keeps individual health information private. It introduced HIPAA EDI (Electronic Data Interchange) Standards to secure electronic health data sharing among healthcare providers, insurers, and related entities. Healthcare EDI sets rules for how data should be formatted when electronically exchanged to ensure secure and efficient communication and reduce manual tasks.

Insurers’ success has always hinged on their ability to analyze data effectively to price and underwrite policies accurately. While this analytical capability remains essential, outdated legacy systems hinder insurers from competing in a rapidly changing market. According to McKinsey, modernizing legacy systems can reduce IT costs per policy by 41%, increase operations productivity by 40%, improve claim accuracy, increase gross written premiums, and reduce churn.

PostgreSQL APIs let applications interact with Postgres databases, perform CRUD (Create, Read, Update, Delete) operations, and manage database schemas. Keep reading to learn more about how APIs help you maximize your databases.

Staying competitive requires embracing change and innovation. Modernizing legacy ERP is one such change that can equip enterprises with the tools they need to thrive. According to Gartner, 45% of CIOs seek to decrease investments in legacy infrastructure. Understanding this transition’s importance and navigating it can position businesses for sustained growth and success.