Smart Data Collective

SEPTEMBER 28, 2022

Big data management increases the reliability of your data. Big data management has many benefits. One of the most important is that it helps to increase the reliability of your data. Data quality issues can arise from a variety of sources, including: Duplicate records Missing records Incorrect data.

Big Data 265

Big Data Data Management Data Quality Healthcare 265

Analysts Corner

OCTOBER 31, 2023

Healthcare : sharing patient records and examination histories. Commercial : Customer Relationship Management (CRM) systems that integrate customer data and preferences to identify greater business opportunities in personalized campaigns and actions. Banking sector : integrating credit information, accounts, and financial transactions.

Artificial Intelligence 246

Artificial Intelligence Monitoring Healthcare Banking 246

Astera

FEBRUARY 27, 2024

A medical insurance claim is a bill that healthcare providers submit to the patient’s healthcare insurance company after they receive treatment or care. Medical Bills Medical bills are the invoices or statements healthcare providers issue after providing care.

Healthcare 52

Healthcare Documentation Pharmaceutical Data Quality 52

Smart Data Collective

SEPTEMBER 22, 2021

For example, businesses have used information derived from unstructured data to improve safety, advance healthcare outcomes, and automate business facilities based on worker insights – but let’s take a closer look. One type of unstructured data common in the healthcare industry is imaging, whether that’s a CT, MRI, or an X-ray.

Pharmaceutical 287

Pharmaceutical Healthcare Documentation Retail 287

Astera

MARCH 10, 2023

This alarming statistic highlights the importance of maintaining data quality in healthcare. As healthcare data volume increases, ensuring the accuracy and completeness of the information obtained has become a challenge. Each year, medical errors in the US alone claim 100,000 lives.

Data Quality 52

Data Quality Healthcare Digital Planning 52

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 Retail 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

MAY 11, 2023

Artificial Intelligence and RWE The transformative effect of Artificial Intelligence (AI) on RWE in healthcare is undeniable. By using AI in RWD analysis, policymakers can better understand the impact of different interventions and make informed decisions about healthcare spending.

Healthcare 40

Healthcare Artificial Intelligence Pharmaceutical Data Quality 40

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

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

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

Astera

OCTOBER 24, 2023

Data scientists commit nearly 80% of their time to data preparation, but only 3% of company data fulfills basic data quality standards. This highlights the critical importance of investing in data quality and efficient data preparation processes; they form the foundation for successful machine learning projects.

Data Quality 40

Data Quality Supply Chain Healthcare Real-time Data 40

Astera

APRIL 28, 2023

For example, GE Healthcare leverage AI-powered data cleansing tools to improve the quality of data in its electronic medical records, reducing the risk of errors in patient diagnosis and treatment. Predictions As artificial intelligence continues to rapidly advance, its potential applications are constantly expanding.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

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

Business Analysis Knowledge Share

OCTOBER 27, 2023

Enhanced Data Governance : Use Case Analysis promotes data governance by highlighting the importance of data quality , accuracy, and security in the context of specific use cases. The data collected should be integrated into a centralized repository, often referred to as a data warehouse or data lake.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 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 Data Governance Business Intelligence 52

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

Analysts Corner

JANUARY 12, 2023

In this article, we present a brief overview of compliance and regulations, discuss the cost of non-compliance and some related statistics, and the role data quality and data governance play in achieving compliance. The average cost of a data breach among organizations surveyed reached $4.24

Data Quality 130

Data Quality Data Governance Government IBM cost 130

Astera

FEBRUARY 15, 2024

Data Extraction Data extraction s oftware obtains pertinent information from the form or document using techniques such as PDF document parsing, data querying, reusable pattern-based extraction templates , AI- based algorithms, natural language processing (NLP ) and Optic al Character Recognition (OCR).

Documentation 52

Documentation Healthcare Government Finance 52

Astera

APRIL 19, 2024

Data governance and data quality are closely related, but different concepts. The major difference lies in their respective objectives within an organization’s data management framework. Data quality is primarily concerned with the data’s condition. Financial forecasts are reliable.

Data Governance 52

Data Governance Data Quality Government Monitoring 52

Astera

MARCH 31, 2023

Consolidating data from these many sources is a formidable challenge on its own, and this is precisely where an automated data integration platform can help. 2. Ensuring data quality Another major challenge is improving data quality.

Data Quality 52

Data Quality Data Security Data Warehouse Monitoring 52

Astera

JANUARY 23, 2024

Data vault goes a step further by preserving data in its original, unaltered state, thereby safeguarding the integrity and quality of data. Additionally, it allows users to apply further data quality rules and validations in the information layer, guaranteeing that data is perfectly suited for reporting and analysis.

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

FEBRUARY 19, 2024

For example, intelligent form extraction can structure the data extracted from a contract into a table that shows the parties, terms, dates, and amounts involved. Intelligent form data extraction employs AI to enhance data quality. It can also add metadata, such as the source, format, and location of the contract.

Supply Chain 40

Supply Chain Documentation Banking Healthcare 40

Smart Data Collective

APRIL 30, 2021

Most businesses think about data security when they hear the words represented by GDPR or new blockchain technology. However, maintaining data integrity can also be a requirement in law. 3 key components of high-quality data integrity that you should establish include: 1. And regardless of any legal requirements.

Data Security 273

Data Security Healthcare Government Planning 273

Astera

OCTOBER 25, 2023

Data transformation is a process that can help them overcome these challenges by changing the structure and format of raw data to make it more suitable for analysis. This improves data quality and facilitates analysis, enabling them to leverage more effectively in decision making.

Data Quality 52

Data Quality Supply Chain Healthcare Planning 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

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

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 Security 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

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

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 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

The Data Administration Newsletter

FEBRUARY 17, 2021

.” – “When Bad Data Happens to Good Companies,” (environmentalleader.com) The Business Impact of an organization’s Bad Data can cost up to 25% of the company’s Revenue (Ovum Research) Bad Data Costs the US healthcare $314 Billion. (IT IT Business […].

Data Management 59

Data Management Healthcare Data Quality Data Modelling 59

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 Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Astera

APRIL 3, 2024

What is a data quality framework? A data quality framework is a set of guidelines that enable you to measure, improve, and maintain the quality of data in your organization. It’s not a magic bullet—data quality is an ongoing process, and the framework is what provides it a structure.

Data Quality 52

Data Quality Data Governance Government Monitoring 52

Astera

DECEMBER 2, 2022

What is Healthcare Data Migration? With 30% of world’s data volume produced from the medical industry, most healthcare organizations are using a data migration strategy to migrate their healthcare data from their on-premise legacy systems to advanced storage solutions. Some of those reasons are: 1.

Healthcare 52

Healthcare Documentation Data Quality Data Architecture 52

Domo

MARCH 12, 2021

Improve data quality. With the right tools , users can easily combine data sources and cleanse data to ensure quality. Commercializing data isn’t a core capability for most enterprises. Konica Minolta Healthcare , a leader in medical diagnostics solutions, recognized the need to explore new business models.

Digital Transformation 52

Digital Transformation Healthcare Digital Data Quality 52