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

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

Documentation Artificial Intelligence Data Security Monitoring 40

Smart Data Collective

AUGUST 11, 2022

How Artificial Intelligence is Impacting Data Quality. Artificial intelligence has the potential to combat human error by taking up the tasking responsibilities associated with the analysis, drilling, and dissection of large volumes of data. Data quality is crucial in the age of artificial intelligence. Conclusion.

Artificial Intelligence 322

Artificial Intelligence Data Quality Digital Transformation Big Data 322

Astera

JUNE 28, 2023

Within the intricate fabric of governance, where legal documents shape the very core of decision-making, a transformative solution has emerged: automated legal document extraction. In a world where governing bodies can extract vital data from contracts, regulations, and court rulings in mere seconds, the possibilities are boundless.

Documentation 40

Documentation Government Data Quality Data Security 40

Analysts Corner

AUGUST 13, 2023

Understand Data Structure: Data profiling helps in understanding the structure and format of the data, such as the number of columns, data types, and data format. Statistical Analysis: This step involves conducting statistical analysis on the data to identify patterns, trends, relationships, and anomalies.

Data Quality 130

Data Quality Data Warehouse Data Discovery Innovation 130

Analysts Corner

FEBRUARY 5, 2023

Data Analysis (Image created using photo and elements in Canva) Evolution of data and big data Until the advent of computers, limited facts were collected and documented, given the cost and scarcity of resources and effort to capture, store, and maintain them. Food for thought and the way ahead! What do you think?

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Big Data IBM Maintenance IBM cost Data Quality 130

Dataversity

MAY 1, 2023

Many organizations have mapped out the systems and applications of their data landscape. Many have documented their most critical business processes. Many have modeled their data domains and key attributes. But only very few have succeeded in connecting the knowledge of these three efforts.

Data Management 244

Data Management Documentation Data Modelling Data Quality 244

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

Analysts Corner

OCTOBER 31, 2023

Commercial : Customer Relationship Management (CRM) systems that integrate customer data and preferences to identify greater business opportunities in personalized campaigns and actions. Management : monitoring transactional data from business operations to generate indicators at various levels.

Artificial Intelligence 246

Artificial Intelligence Monitoring Healthcare Banking 246

Smart Data Collective

JULY 15, 2021

It helps you locate and discover data that fit your search criteria. With data catalogs, you won’t have to waste time looking for information you think you have. What Does a Data Catalog Do? Advanced data catalogs can update metadata based on the data’s origins. How Does a Data Catalog Impact Employees?

Data Discovery 317

Data Discovery Data Quality Documentation Big Data 317

Dataversity

JUNE 14, 2022

With that, I’ve long believed that for most large cloud platform providers offering managed services, such as document editing and storage, email services and calendar […]. The post Data Governance at the Edge of the Cloud appeared first on DATAVERSITY.

Data Governance 246

Data Governance Government Documentation Data Quality 246

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 Data Governance Business Intelligence 52

Timo Elliott

DECEMBER 14, 2023

Large language models are good at figuring out what we meant, and the principle applies to many real-world data problems. For example, machine learning is already used to extract information from documents such as invoices: the date, amount, supplier ID etc.

Documentation 162

Documentation Data Quality 162

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

OCTOBER 31, 2023

Data preparation (also known as data prep ) is the process of standardizing data into the desired output. By converting unstructured data into a structured format, data preparation enables comprehensive data analysis that can reveal hidden insights and opportunities. Timeliness.

Data Quality 52

Data Quality Documentation Data Warehouse Data Governance 52

Astera

FEBRUARY 26, 2024

Scalability: As businesses grow and generate more data, Azure ETL tools can easily handle the increased volume and complexity of data. Data Quality : Azure ETL tools offer built-in data cleansing and validation capabilities, ensuring that the data loaded into Azure Data Warehouse is accurate and reliable.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data Documentation 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 66

Data Analytics Data Analytics Healthcare E-Commerce 66

Astera

FEBRUARY 27, 2024

With students’ academic futures at stake, admissions staff must quickly process every transcript, document, and form — ensuring accuracy and adherence to tight deadlines. Automated data extraction and processing includes the following steps: 1.

Documentation 52

Documentation Data Security Data Quality 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

FEBRUARY 9, 2024

The data is stored in different locations, such as local files, cloud storage, databases, etc. The data is updated at different frequencies, such as daily, weekly, monthly, etc. The data quality is inconsistent, such as missing values, errors, duplicates, etc.

Data Warehouse 52

Data Warehouse Data Quality Data Security Monitoring 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

FEBRUARY 9, 2024

The data is stored in different locations, such as local files, cloud storage, databases, etc. The data is updated at different frequencies, such as daily, weekly, monthly, etc. The data quality is inconsistent, such as missing values, errors, duplicates, etc. The validation process should check the accuracy of the CCF.

Banking 52

Banking Data Warehouse Data Quality Data Security 52

Astera

JULY 12, 2023

With a multitude of contracts to handle, the complexity and diversity of these documents necessitate a sophisticated yet user-friendly solution to effectively manage and extract vital data. A robust automated contract data extraction tool should be capable of handling unstructured documents efficiently.

Data Management 40

Data Management Documentation Data Quality Monitoring 40

Dataversity

JANUARY 4, 2023

This document describes the rights that should be protected when implementing automated systems using AI technology. The Office of Science and Technology Policy (OSTP) of the White House has issued the blueprint of the AI Bill of Rights. The paper lists the following five principles that define these rights: 1.

Documentation 130

Documentation Data Governance Data Quality Artificial Intelligence 130

Astera

FEBRUARY 2, 2024

Form processing can extract relevant information like policy details, incident descriptions, and supporting documentation, streamlining the claims processing workflow. Handwriting styles differ widely, and some can be difficult to decipher, leading to errors in data extraction.

Healthcare 52

Healthcare Documentation Banking Data Quality 52

Astera

FEBRUARY 28, 2024

Data Governance and Documentation Establishing and enforcing rules, policies, and standards for your data warehouse is the backbone of effective data governance and documentation. This not only aids user comprehension of data but also facilitates seamless data discovery, access, and analysis.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

NOVEMBER 1, 2023

This structure prevents data quality issues, enhances decision-making, and enables compliant operations. Transparency: Data governance mandates transparent communication about data usage i n the financial sector. Data Quality: Data governance prioritizes accurate, complete, and consistent data.

Data Governance 40

Data Governance Government Data Quality Banking 40

Astera

APRIL 3, 2023

Data entry in healthcare is extremely common for one major reason: the number of documents – patient information, medical records, insurance forms, billing forms, lab reports, prescriptions, consent forms, medical charts, and that’s just the beginning. However, it is not the most efficient.

Healthcare 52

Healthcare Documentation Data Quality Planning 52

Smart Data Collective

SEPTEMBER 22, 2021

These platforms essentially prevent the need to regularly transfer files by storing them in a shared repository featuring access and privacy controls and ensuring users always have the most recent iteration of the document when collaborating on a document.

Pharmaceutical 284

Pharmaceutical Healthcare Documentation Retail 284

Astera

JUNE 21, 2023

Import PDF files and extract data to Excel in bulk Whether you’re at work handling documents or gathering material for your research proposal, the information you need is mostly stored in a variety of different formats, from webpages and documents to images on Google.

Documentation 52

Documentation Artificial Intelligence Visualization Data Quality 52

Astera

JUNE 6, 2023

This architecture effectively caters to various data processing requirements. How to Build ETL Architectures To build ETL architectures, the following steps can be followed, Requirements Analysis: Analyse data sources, considering scalability, data quality, and compliance requirements.

Data Quality 52

Data Quality Monitoring Data Warehouse Data Security 52

Astera

DECEMBER 21, 2022

A research study shows that businesses that engage in data-driven decision-making experience 5 to 6 percent growth in their productivity. These data extraction tools are now a necessity for majority organizations. Extract Data from Unstructured Documents with ReportMiner. What is Data Extraction? Data Mining.

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52

Astera

FEBRUARY 16, 2024

These tools and frameworks provide features and functionalities that can enhance the performance and efficiency of the ETL process, such as data cleaning, data aggregation, data merging, data analysis, data visualization, web scraping, data movement, workflow management, scheduling, logging, and monitoring.

Data Warehouse 52

Data Warehouse Monitoring Data Quality Government 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

Analysts Corner

NOVEMBER 24, 2022

Business analysts’ skills comprise both soft skills (facilitation skills, interpersonal, and consultative skills) as well as hard skills (for example, documentation skills, process modeling, requirements engineering, and stakeholder analysis).

Data Governance 130

Data Governance Business Analysis Business Analysis Government 130

Astera

JULY 18, 2023

Data wrangling tools are powerful solutions designed to simplify and automate the process of data preparation. They enable data professionals to clean, transform, and organize raw data efficiently, saving countless hours of manual work while ensuring data quality and consistency.

Data Quality 52

Data Quality Visualization Data Visualization Documentation 52

Astera

OCTOBER 11, 2023

Whether it’s optimizing supply chains, predicting customer behavior, or enhancing marketing strategies, a well-defined goal serves as a compass, guiding the course of data preparation endeavors. Is the data accurate, complete, and suitable for the project? Data quality is the foundation of reliable analysis.

Supply Chain 52

Supply Chain Documentation Data Quality Business Intelligence 52