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By Fasih Khan
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.
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By Zoha Shakoor
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.
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By Fasih Khan
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 While this analytical capability remains essential, outdated legacy systems hinder insurers from competing in a rapidly changing market.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.
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By Usman Hasan Khan
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.
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By Fasih Khan
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.
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By Fasih Khan
The global API market’s value reached $5.42 billion in 2024 and is expected to grow to $34.17 billion by 2032. This exponential growth underscores the increasing reliance on APIs for digital transformation strategies. As the API economy expands, so does the complexity and volume of data exchanged through APIs. API reporting tools streamline this process by providing all the features you need to leverage APIs effectively.
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By Abeeha Jaffery
92% of enterprises are working on or planning an application modernization strategy. This trend shows a growing focus on upgrading technology. Modernizing existing systems and data infrastructure allows organizations to turn old, inefficient setups into flexible, scalable solutions that support future growth. These initiatives mitigate the risks of outdated technology and position companies to take advantage of new opportunities, such as big data analytics and integration with cloud technologies.
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By Usman Hasan Khan
Both business intelligence (BI) and data analytics help businesses make the most of their data through insights. While the two terms are related, they’re not the same and cannot be used interchangeably. The biggest difference is that business intelligence requires data analytics to generate results, but data analytics works well even independently of business data. Let’s do an in-depth comparison of the two and see if the business intelligence vs. data analytics debate is justified.
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By Abeeha Jaffery
The global EDI market, valued at USD 36.52 billion in 2023, has a projected compound annual growth rate (CAGR) of 12% from 2024 to 2032. As organizations worldwide increasingly turn to EDI to enhance their business processes, the role of VANs in facilitating seamless data interchange has garnered significant attention. This blog provides a comprehensive overview of EDI VANs, detailing their functionalities, benefits, and important aspects to consider when selecting the right EDI communication method.
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By Mariam Anwar
A resource catalog is a systematically organized repository that provides detailed information about various data assets within an organization. This catalog serves as a comprehensive inventory, documenting the metadata, location, accessibility, and usage guidelines of data resources. The primary purpose of a resource catalog is to facilitate efficient data discovery, governance, and utilization.
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By Astera
In this video, we will learn the functionality of the MariaDB Connector object within Astera Data Stack. MariaDB is a database management system used for storing data in a structured format and making it accessible for use through different tools and applications.
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By Astera
Join me as I guide you through: Centralizing your organization’s data securely Enhancing data quality with enrichment tools Deploying projects using Astera Data Pipeline Builder Managing and enriching data assets Creating glossary terms and tags for better data discoverability Generating comprehensive data profiles and automating data quality checks Approving access requests for data assets.
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By Astera
Our COO, Jay Mishra, talks with ODSC East about the possibilities of Generative AI and unstructured data management.
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By Astera
In this video, we will be learning about the File System Action Workflow Task in Astera Data Stack. The File System Action task performs actions on a file or a folder, as it is configured.
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By Astera
In this video, we will see how an EDI Message Serializer object works in Astera Data Stack. The EDI Message Serializer object is used to build an EDI Message in the required EDI partner profile before it is written to a destination.
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By Astera
Discover how Astera's AI-powered document processing solution simplifies claims handling. Learn how to automate data extraction, validation, and scheduling for faster, more efficient claims processing.
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By Astera
In this video, we will learn how to effortlessly integrate Salesforce legacy databases into your data workflows using Astera Data Stack. This video provides a comprehensive walkthrough of configuring the Salesforce Database connector, ensuring smooth data extraction and loading processes.
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By Astera
In the insurance industry, the claims process plays a vital role in shaping an insurer's reputation, customer satisfaction, and financial performance. However, this process is primarily characterized by the substantial volumes of unstructured data that insurers must adeptly handle and leverage to enhance the customer journey and streamline claims lifecycle management.
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By Astera
The big increase in data, more sources of data, and the need for quick insights mean companies have to move away from slow, fixed methods of handling data. Dynamic ETL emerges as a timely solution, offering the flexibility to process data in real time, adapt to changing formats seamlessly, and scale operations efficiently.
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By Astera
The education sector has always worked with data to guide various processes, most notably student progress. But with powerful, AI-driven data extraction tools impacting other industries, it's time for educators to leverage these tools, accelerate data extraction, and turn data into actionable insights much faster.
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By Astera
A Single Customer View (SCV) is crucial for optimizing marketing ROI from a tech standpoint as it consolidates data from diverse channels, offering a complete customer profile.
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Astera Software is a rapidly-growing provider of enterprise-ready data management solutions. Our goal is to make data-driven insights more accessible than ever through no-code, user-friendly, and automated data extraction, data integration, data warehousing, API management, and EDI solutions.
Features of Astera Centerprise:
- Support for Diverse Systems: Connectivity to a range of structured, unstructured, and semi-structured data sources, including databases, web services, data warehouses, and flat file formats, such as delimited and CSV is the basic staple of all information mapping tools.
- Graphical, Drag-and-Drop, Code-Free User Interface: A code-free environment to create mappings and a graphical, drag-and-drop UI to process data using built-in transformations.
- Ability to Schedule and Automate Jobs: The ability to orchestrate a complete workflow using time and event-triggered job scheduling is a valuable feature in a tool. This automation cuts down the manual work, improving productivity and saving time.
- Instant Preview Feature for Real-Time Testing: Intuitive features like Instant Data Preview help prevent mapping errors at the design time. This functionality lets the user view the processed and raw data at any step of the data process.
- SmartMatch Data Conversion Mapping for Resolving Naming Conflicts: Synonym-driven file reading to resolve discrepancies in field names and business data lineage function to address the challenges of naming conflicts. It can be done by defining synonyms for a word in the synonym dictionary of a particular project.
Empowering Enterprises Across the Globe to Turn Data into Insights at Lightning-fast Speed!