Astera

MAY 25, 2023

Streamline your insurance processes and enhance efficiency with health data management solutions In today’s fast-paced industry, as a health insurance professional, it has become essential to leverage cutting-edge technology to stay ahead of the competition and streamline your operations.

Healthcare 40

Healthcare Documentation Data Quality Customer Experience 40

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

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. Continuous Data Quality Monitoring According to Gartner , poor data quality cost enterprises an average of $15 million per year.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

MAY 9, 2023

The Explosion in Data Volume and the Need for AI The global AI market today stands at $100 billion and is expected to grow 20-fold up to nearly two trillion dollars by 2030. This massive growth has a spillover effect on various areas, including data management.

Healthcare 40

Healthcare Retail Finance Data Quality 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

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

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

MARCH 31, 2023

In today’s data-driven world, businesses rapidly generate massive amounts of data. Managing this data effectively and timely is critical for decision-making, but how can they make sense of all this data most efficiently? 2. Ensuring data quality Another major challenge is improving data quality.

Data Quality 52

Data Quality Data Security Data Warehouse Monitoring 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

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. Secure your data.

Data Security 269

Data Security Healthcare Government Planning 269

Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, It supersedes Data Vault 1.0, Data Vault 2.0

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

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

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

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

Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing As businesses deal with larger and more diverse volumes of data, managing that data has become increasingly difficult. It applies selected business rules, calculations, data cleansing and data quality functions to the data.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Astera

APRIL 7, 2023

In the world of medical services, large volumes of healthcare data are generated every day. Currently, around 30% of the world’s data is produced by the healthcare industry and this percentage is expected to reach 35% by 2025. The sheer amount of health-related data presents countless opportunities.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 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

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

Smart Data Collective

JUNE 19, 2019

Aligning these elements of risk management with the handling of big data requires that you establish real-time monitoring controls. This technique applies across different industries, including healthcare, service, and manufacturing. Risk Management Applications for Analyzing Big Data.

Big Data 176

Big Data Logistics Monitoring Data Analytics 176

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

This starts with getting people up and running, which is why we simplified license management for IT and administrators. 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.

Business Intelligence 70

Business Intelligence Business Intelligence Government Visualization 70

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

Tableau

JANUARY 27, 2021

This starts with getting people up and running, which is why we simplified license management for IT and administrators. 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.

Business Intelligence 52

Business Intelligence Business Intelligence Government Visualization 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

MARCH 28, 2024

Data Catalog vs. Data Dictionary A common confusion arises when data dictionaries come into the discussion. Both data catalog and data dictionary serve essential roles in data management. How to Build a Data Catalog? Creating a catalog involves multiple important steps.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

JANUARY 24, 2024

Modern data management relies heavily on ETL (extract, transform, load) procedures to help collect, process, and deliver data into an organization’s data warehouse. However, ETL is not the only technology that helps an enterprise leverage its data. Considering cloud-first data management?

Data Warehouse 52

Data Warehouse Data Quality Data Management Data Security 52

Astera

OCTOBER 30, 2023

It allows you to cross-reference, refine, and weave together data from multiple sources to make a unified whole. Elevate Your Data Quality, Zero-Coding Required View Demo Data Enrichment Techniques So how does data enrichment really work? Be flexible and ready to adapt to enhance your data enrichment approach.

E-Commerce 40

E-Commerce Talent Acquisition Healthcare Data Quality 40

Astera

MARCH 11, 2024

According to a recent Gartner survey, 85% of enterprises now use cloud-based data warehouses like Snowflake for their analytics needs. Unsurprisingly, businesses are already adopting Snowflake ETL tools to streamline their data management processes.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

GAVS Technology

SEPTEMBER 2, 2021

Some examples of areas of potential application for small and wide data are demand forecasting in retail, real-time behavioral and emotional intelligence in customer service applied to hyper-personalization, and customer experience improvement. Master Data is key to the success of AI-driven insight. link] [link].

Master Data Management 52

Master Data Management Healthcare Big Data Data Mining 52

Astera

MARCH 30, 2023

At the fundamental level, data sharing is the process of making a set of data resources available to individuals, departments, business units or even other organizations. Incompatible Data Formats : Different teams and departments might be storing data in different structures and formats.

Data Quality 52

Data Quality Data Warehouse Data Security Finance 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). What is Data Fabric? Data Virtualization.

Healthcare 52

Healthcare Data Governance Government Data Mining 52

Astera

DECEMBER 7, 2023

Healthcare Data Management In healthcare, ETL batch processing is used to aggregate patient records, medical histories, treatment data, and diagnostics from diverse sources. This includes generating reports, audits, and regulatory submissions from diverse data sources.

Supply Chain 52

Supply Chain E-Commerce Data Warehouse Real-time Data 52

Astera

DECEMBER 7, 2023

Healthcare Data Management In healthcare, ETL batch processing is used to aggregate patient records, medical histories, treatment data, and diagnostics from diverse sources. This includes generating reports, audits, and regulatory submissions from diverse data sources.

Supply Chain 52

Supply Chain E-Commerce Real-time Data Data Warehouse 52

Astera

APRIL 10, 2023

From driving targeted marketing campaigns and optimizing production line logistics to helping healthcare professionals predict disease patterns, big data is powering the digital age. However, with monumental volumes of data come significant challenges, making big data integration essential in data management solutions.

Big Data 52

Big Data IBM Maintenance IBM cost Data Quality 52