Astera

MAY 25, 2023

This would ensure that you can efficiently extract unstructured or semi-structured data from the medical records of any healthcare chain. Implementing Data Quality Rules for Reliable Extraction Accurate data extraction in health insurance can yield numerous benefits for you.

Healthcare 40

Healthcare Documentation Data Quality Customer Experience 40

Astera

MAY 31, 2024

Here are the critical components of data science: Data Collection : Accumulating data from diverse sources like databases, APIs , and web scraping. Data Cleaning and Preprocessing : Ensuring data quality by managing missing values, eliminating duplicates, normalizing data, and preparing it for analysis.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Astera

MAY 9, 2023

These algorithms can identify patterns in data and use machine learning (ML) models to learn and adapt to new data sources. The perfect application of this would be in industries such as healthcare, where medical images such as X-rays and MRIs contain important diagnostic information.

Healthcare 40

Healthcare Retail Finance Data Quality 40

Astera

FEBRUARY 19, 2024

Intelligent Form Data Extraction Intelligent form data extraction is a better alternative to form processing as it overcomes the limitations of OCR. Intelligent form data extraction employs AI to enhance data quality.

Supply Chain 40

Supply Chain Documentation Banking Healthcare 40

Astera

MAY 4, 2023

This, in turn, enables businesses to automate the time-consuming task of manual data entry and processing, unlocking data for business intelligence and analytics initiatives. However , a Forbes study revealed up to 84% of data can be unreliable. Luckily, AI- enabled data prep can improve data quality in several ways.

Business Intelligence 40

Business Intelligence Business Intelligence Predictive Analytics Supply Chain 40

Astera

FEBRUARY 2, 2024

Healthcare Forms: Patient intake forms, medical history forms, and insurance claims in healthcare involve a lot of unstructured data. Form processing extracts patient details, medical history, and insurance information to improve the efficiency of healthcare processes.

Healthcare 52

Healthcare Documentation Banking Data Quality 52

Astera

JUNE 14, 2023

Legal Documents: Contracts, licensing agreements, service-level agreements (SLA), and non-disclosure agreements (NDA) are some of the most common legal documents that businesses extract data from. Healthcare Records: These include medical documents, such as electronic health records (EHR), prescription records, and lab reports, among others.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

Astera

JUNE 13, 2023

Acting as a conduit for data, it enables efficient processing, transformation, and delivery to the desired location. By orchestrating these processes, data pipelines streamline data operations and enhance data quality. Techniques like data profiling, data validation, and metadata management are utilized.

E-Commerce 52

E-Commerce Data Quality Real-time Data Data Warehouse 52

Astera

NOVEMBER 30, 2023

Adaptibility Adapaptability is critical because business requirements, data sources, and data structures are subject to change. For instance, a healthcare organization may need to incorporate new types of patient data or adapt to evolving regulations. Data Vault 2.0 Data Vault 2.0’s Data Vault 2.0’s

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Astera

MAY 4, 2023

For example, the healthcare industry is subject to the Health Insurance Portability and Accountability Act (HIPAA), which ensure s privacy and security of personal health information. Poor data quality can lead to biased or inaccurate results, undermining the system’s transparency and fairness.

Documentation 40

Documentation Artificial Intelligence Data Security Monitoring 40

Astera

MAY 8, 2023

Here are some of the obstacles that organizations face when integrating unstructured data using traditional methods: Increased costs: Traditional data management methods require extensive manual labor to extract insights from unstructured data, resulting in higher business costs.

Vision 40

Vision Data Quality Big Data Healthcare 40

Astera

MARCH 28, 2024

It facilitates data discovery and exploration by enabling users to easily search and explore available data assets. Additionally, data catalogs include features such as data lineage tracking and governance capabilities to ensure data quality and compliance.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

MAY 6, 2024

Whether it’s choosing the right marketing strategy, pricing a product, or managing supply chains, data mining impacts businesses in various ways: Finance : Banks use predictive models to assess credit risk, detect fraudulent transactions, and optimize investment portfolios. Data quality is a priority for Astera.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

SEPTEMBER 28, 2023

Data Quality: ETL facilitates data quality management , crucial for maintaining a high level of data integrity, which, in turn, is foundational for successful analytics and data-driven decision-making. ETL pipelines ensure that the data aligns with predefined business rules and quality standards.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Data Pine

DECEMBER 4, 2019

With technologies such as natural language processing, machine learning, pattern recognition cognitive computing is considered as a next-generation system that will help experts to make better decisions throughout industries such as healthcare, retail, security, and e-commerce, among others. With the expected generated revenue of $13.8

Business Intelligence 84

Business Intelligence Business Intelligence IBM Support IBM Maintenance 84

Insight Software

MAY 9, 2024

ETL pipelines are commonly used in data warehousing and business intelligence environments, where data from multiple sources needs to be integrated, transformed, and stored for analysis and reporting. This high-quality data is then loaded into a centralized data repository for reporting and analysis.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52