Astera

APRIL 23, 2024

To do so, they need data quality metrics relevant to their specific needs. Organizations use data quality metrics, also called data quality measurement metrics, to assess the different aspects, or dimensions, of data quality within a data system and measure the data quality against predefined standards and requirements.

Data Quality 52

Data Quality Monitoring Data Modelling Data Warehouse 52

Astera

AUGUST 11, 2023

Healthcare organizations deal with huge amounts of data every day, from patient records and claims to lab results and prescriptions. However, not all data is created equal. Different systems and formats can make data exchange difficult, costly, and error-prone. What Does EDI Stand for in Healthcare?

Healthcare 52

Healthcare Documentation Planning Data Quality 52

Astera

JUNE 14, 2023

What is Document Data Extraction? Document data extraction refers to the process of extracting relevant information from various types of documents, whether digital or in print. The process enables businesses to unlock valuable information hidden within unstructured documents.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

Business Analysis Knowledge Share

NOVEMBER 10, 2023

Data cleaning and transformation In another scenario, you have received a messy dataset with missing values and inconsistent formatting. ChatGPT can help clean and transform the data by automatically filling in missing values, standardizing formats, and ensuring data quality. Q2: Can ChatGPT create interactive dashboards?

Data Analytics 67

Data Analytics Data Analytics Healthcare E-Commerce 67

Astera

MAY 4, 2023

Given that transparency plays an important role in document processing, it is imperative for businesses to implement measures that ensure transparency. from 2022 to 2027. Transparency: The Key Ingredient for Successful Automated Document Processing The global intelligent document processing market revenue stood at $1.1

Documentation 40

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Astera

FEBRUARY 27, 2024

Insurance companies and third-party administrators are increasingly turning to automated data extraction to expedite the processing of medical insurance claims. Leveraging AI technology allows them to efficiently extract crucial data from documents, eliminating manual data entry errors and significantly reducing processing times.

Healthcare 52

Healthcare Documentation Pharmaceutical Data Quality 52

Astera

MAY 20, 2024

Data provenance answers questions like: What is the source of this data? Who created this data? This information helps ensure data quality, transparency, and accountability. Why is Data Provenance Important? Data provenance allows analysts to identify corrupted data on time.

Data Governance 52

Data Governance Healthcare Government Data Quality 52

Astera

JANUARY 23, 2023

The healthcare industry has evolved tremendously over the past few decades — with technological innovations facilitating its development. Billion by 2026 , showing the crucial role of health data management in the industry. and administrative data (insurance claims, billing details, etc.) trillion in 2020, making it 19.7

Data Management 52

Data Management IBM Maintenance Healthcare IBM cost 52

Astera

APRIL 4, 2024

Data governance’s primary purpose is to ensure organizational data assets’ quality, integrity, security, and effective use. The key objectives of Data Governance include: Enhancing Clear Ownership: Assigning roles to ensure accountability and effective management of data assets.

Data Governance 52

Data Governance Government E-Commerce Data Quality 52

Astera

FEBRUARY 15, 2024

What is Automated Form Processing and How It Works Automated form processing uses software to streamline how your organization handles its forms and documents. By using dedicated applications, your business can eliminate the time and manual effort spent on performing associated tasks—such as extraction, validation, and data entry.

Documentation 52

Documentation Healthcare Government Finance 52

Astera

NOVEMBER 27, 2024

Every day, your business needs access to data tucked away in a variety of document formats—from Word documents to PDFs to Excel spreadsheets. Unless, of course, you’ve got LLM data extraction at your disposal. You’ll see this data in emails, customer feedback forms, legal documents, reports, or invoices.

Documentation 52

Documentation Healthcare Finance Data Quality 52

Astera

OCTOBER 29, 2024

Information extraction is the process of extracting requisite structured data from semi-structured or unstructured text-based data sources, such as PDF documents, web content, AI/large language model (LLM) generated content, etc. What is information extraction? How does NLP information extraction work?

Documentation 52

Documentation Healthcare Artificial Intelligence Financial Analysis 52

Astera

MAY 25, 2023

These templates should be customizable and reusable, allowing you to streamline the extraction process for different document types, such as medical reports, prescriptions, and claims. With AI-driven templates, your insurance company can reduce manual effort, minimize errors, and enhance data extraction speed.

Healthcare 40

Healthcare Documentation Data Quality Customer Experience 40

Astera

MAY 13, 2024

Government: Using regional and administrative level demographic data to guide decision-making. Healthcare: Reviewing patient data by medical condition/diagnosis, department, and hospital. Besides being relevant, your data must be complete, up-to-date, and accurate.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

FEBRUARY 2, 2024

Form processing can extract relevant information like policy details, incident descriptions, and supporting documentation, streamlining the claims processing workflow. Healthcare Forms: Patient intake forms, medical history forms, and insurance claims in healthcare involve a lot of unstructured data.

Healthcare 52

Healthcare Documentation Banking Data Quality 52

Astera

MAY 30, 2024

Digitalization has led to more data collection, integral to many industries from healthcare diagnoses to financial transactions. For instance, hospitals use data governance practices to break siloed data and decrease the risk of misdiagnosis or treatment delays.

Data Governance 52

Data Governance Government Data Management Data Quality 52

Astera

APRIL 24, 2024

A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Tableau

JANUARY 27, 2021

And our unique approach to data management provides valuable metadata, lineage, and data quality alerts right in the flow of users’ analysis, while providing the security and governance you need. This means increased transparency and trust in data, so everyone has the right data at the right time for making decisions.

Business Intelligence 99

Business Intelligence Business Intelligence Government Visualization 99

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

MARCH 26, 2023

Common Data Management Challenges in the Insurance Industry Data trapped in Unstructured sources Managing the sheer volume of data scattered across various unstructured sources is one of the top data management challenges in the insurance industry. These PDFs may vary in format and layout.

Documentation 52

Documentation Data Quality Data Warehouse Data Management 52

Astera

NOVEMBER 27, 2023

Clean and accurate data is the foundation of an organization’s decision-making processes. However, studies reveal that only 3% of the data in an organization meets basic data quality standards, making it necessary to prepare data effectively before analysis. This is where data profiling comes into play.

Data Mining 52

Data Mining Data Quality Business Intelligence Data Governance 52

Astera

OCTOBER 26, 2023

The more data we generate, the more cleaning we must do. But what makes cleaning data so essential? Gartner reveals that poor data quality costs businesses $12.9 Data cleansing is critical for any organization that relies on accurate data. Interactive Data Profiling: Gain insights into your data visually.

Data Quality 52

Data Quality Healthcare Retail Visualization 52

GAVS Technology

JUNE 2, 2021

In the recently announced Technology Trends in Data Management, Gartner has introduced the concept of “Data Fabric”. Here is the link to the document, Top Trends in Data and Analytics for 2021: Data Fabric Is the Foundation (gartner.com). Srinivasan Sundararajan.

Healthcare 52

Healthcare Data Governance Government Data Mining 52

Astera

FEBRUARY 19, 2024

As businesses continue to deal with an ever-increasing volume of forms, invoices, and documents, the need for accuracy, speed, and adaptability in data extraction has never been more pronounced. OCR form processing specifically refers to the application of OCR technology to extract data from forms.

Supply Chain 40

Supply Chain Documentation Banking Healthcare 40

Astera

MAY 8, 2024

All three have a unique purpose in organizing, defining, and accessing data assets within an organization. For instance, in a healthcare institution, “Patient Admission” might be “the process of formally registering a patient for treatment or care within the facility.”

Data Governance 52

Data Governance Government Healthcare Data Quality 52

Astera

MARCH 11, 2024

Transformation Capabilities: Some tools offer powerful transformation capabilities, including visual data mapping and transformation logic, which can be more intuitive than coding SQL transformations manually. Transform and shape your data according to your business needs using pre-built transformations and functions without writing any code.

Data Warehouse 52

Data Warehouse Documentation Monitoring 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

NOVEMBER 30, 2023

Additionally, Data Vault 2.0 Data Vault 2.0 establishes comprehensive standards and guidelines for naming, modeling, loading, and documenting data. This ensures a foundation of quality, clarity, and manageability, making Data Vault 2.0 a comprehensive solution for modern data warehousing.

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Astera

FEBRUARY 14, 2024

It applies selected business rules, calculations, data cleansing and data quality functions to the data. These examples show the high level of flexibility and adaptability provided by data vault. Scalability As the healthcare providers grow or add more source systems, data vault scales easily.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Astera

NOVEMBER 28, 2023

The primary goal is to maintain the integrity and reliability of data as it moves across the pipeline. Importance of Data Pipeline Monitoring Data pipeline monitoring is crucial for several reasons: Data Quality: Data pipeline monitoring is crucial in maintaining data quality.

Monitoring 40

Monitoring Data Quality Government Healthcare 40

Tableau

JANUARY 27, 2021

And our unique approach to data management provides valuable metadata, lineage, and data quality alerts right in the flow of users’ analysis, while providing the security and governance you need. This means increased transparency and trust in data, so everyone has the right data at the right time for making decisions.

Business Intelligence 52

Business Intelligence Business Intelligence Government Visualization 52

The BAWorld

MAY 14, 2024

Key skills for data analyst: Python/R language SQL Excel (pivoting, formulas etc) Machine Learning Statistics Data Mining PowerBI / Tableau / QlikView Problem-Solving Critical Thinking Communication Domain knowledge like finance, e-commerce, banking, healthcare, Insurance etc 6.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Visualization 52

Astera

OCTOBER 28, 2024

Data lakes and data catalogs: To search vast repositories of unstructured and semi-structured data without knowing file names. By the time someone gathers the data and compiles the results, you’ll already have made a well-informed decision. Read more: intelligent document processing in healthcare.

Data Warehouse 52

Data Warehouse Documentation Healthcare Artificial Intelligence 52

Astera

APRIL 24, 2024

Business analysts, data scientists, IT professionals, and decision-makers across various industries rely on data aggregation tools to gather and analyze data. Essentially, any organization aiming to leverage data for competitive advantage will benefit from data aggregation tools.

IBM Support 52

IBM Support IBM cost IBM Maintenance Visualization 52