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

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

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 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 4, 2024

Data governance focuses on the technical and operational aspects of managing data, while information governance looks at the wider policies, procedures, and strategies guiding data usage. They are different, yet they complement each other, providing a holistic approach to managing data.

Data Governance 52

Data Governance Government E-Commerce 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

MAY 8, 2024

Understanding the Business Glossary A business glossary is a repository of data-related terms and definitions specific to a company’s industry, processes, and products. It includes industry-specific jargon, acronyms, and business-specific terminologies, all systematically organized for easy reference.

Data Governance 52

Data Governance Government Healthcare Data Quality 52

GAVS Technology

SEPTEMBER 2, 2021

With the growth of Hyper Scale Cloud Data Platforms, the term ‘massive data’ has taken a back seat. Hence, Big Data can now be referred to as unstructured data which is not in conformance with enterprise business rules, quality constraints and formats.

Master Data Management 52

Master Data Management Healthcare Big Data Data Mining 52

Astera

JUNE 5, 2024

Streaming ETL is a modern approach to extracting, transforming, and loading (ETL) that processes and moves data from source to destination in real-time. It relies on real-time data pipelines that process events as they occur. Events refer to various individual pieces of information within the data stream.

Real-time Data 52

Real-time Data Data Warehouse Healthcare Monitoring 52

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. This may involve data from internal systems, external sources, or third-party data providers.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

Astera

FEBRUARY 2, 2024

This growth is largely due to the crucial role played by Form Processing, a technology that has emerged as a fundamental element in the efficient extraction and processing of valuable insights from both structured and unstructured data. Ensuring data accuracy and completeness becomes a challenge when dealing with inconsistent data quality.

Healthcare 52

Healthcare Documentation Banking 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

Astera

MARCH 31, 2023

Within the realm of data management, a single source of truth is a concept that refers to a centralized repository containing an organization’s most accurate, complete, and up-to-date data. This data serves as the organization’s master data and is accessible by anyone who needs it. What is a Single Source of Truth?

Data Quality 52

Data Quality Data Security Data Warehouse Monitoring 52

Astera

MARCH 28, 2024

Additionally, data catalogs include features such as data lineage tracking and governance capabilities to ensure data quality and compliance. On the other hand, a data dictionary typically provides technical metadata and is commonly used as a reference for data modeling and database design.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

MARCH 26, 2023

Manual data entry can be time-consuming, resulting in delays in processing claims and increased costs. Siloed Data Data silos refer to the separation of data into isolated and disconnected systems or repositories.

Documentation 52

Documentation Data Quality Data Warehouse Data Management 52

Astera

DECEMBER 7, 2023

Now, imagine taking this powerful ETL process and putting it on repeat so you can process huge amounts of data in batches. ETL refers to a process used in data integration and warehousing. This includes generating reports, audits, and regulatory submissions from diverse data sources. That’s ETL batch processing.

Supply Chain 52

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

Astera

DECEMBER 7, 2023

Now, imagine taking this powerful ETL process and putting it on repeat so you can process huge amounts of data in batches. ETL refers to a process used in data warehousing and integration. This includes generating reports, audits, and regulatory submissions from diverse data sources. That’s ETL batch processing.

Supply Chain 52

Supply Chain E-Commerce Real-time Data Data Warehouse 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. It involves identifying and retrieving specific data points such as invoice and purchase order (PO) numbers, names, and addresses among others.

Documentation 52

Documentation Supply Chain Healthcare Logistics 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

Astera

OCTOBER 30, 2023

It does more than just fill in the blanks by including missing data, and addressing inaccurate information. It allows you to cross-reference, refine, and weave together data from multiple sources to make a unified whole. AI-powered auto mapper to easily map your data from sources to destinations.

E-Commerce 40

E-Commerce Talent Acquisition Data Quality Healthcare 40

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

FEBRUARY 19, 2024

OCR, or Optical Character Recognition, is a technology that converts different types of documents, such as scanned paper documents and pdfs into editable and searchable data. 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

NOVEMBER 30, 2023

Raw Vault: In contrast to the Business Vault, the Raw Vault serves as the primary storage for original source data. It preserves the integrity of the data, ensuring that the original, unaltered data is always available for reference or further processing. Business Vault: This component of Data Vault 2.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Astera

MAY 25, 2023

Big Data Security: Protecting Your Valuable Assets In today’s digital age, we generate an unprecedented amount of data every day through our interactions with various technologies. The sheer volume, velocity, and variety of big data make it difficult to manage and extract meaningful insights from.

Big Data 40

Big Data Data Security Monitoring Data Quality 40

Astera

MARCH 11, 2024

This is facilitated by the automatic handling of indexing and optimization, which removes the traditional administrative overhead associated with managing a data warehouse. Transform and shape your data according to your business needs using pre-built transformations and functions without writing any code. What are Snowflake ETL Tools?

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Astera

OCTOBER 28, 2024

Natural language search has a very specific use case in data management and analytics, where it’s used to query structured data. In fact, when used for these purposes, you will find that it’s often referred to as natural language query (NLQ)—yes, another term using the “ natural language ” prefix.

Data Warehouse 52

Data Warehouse Documentation Healthcare Artificial Intelligence 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. This data analytics buzzword is somehow a déjà-vu.

Business Intelligence 84

Business Intelligence Business Intelligence IBM Support IBM Maintenance 84

Analysts Corner

NOVEMBER 18, 2024

The Role of AI in Enhancing Data Processes So how does AI fit into all of this? As Mike noted, what many people refer to as AI is really automation. This isn’t some trendy term; it’s a practical solution that transforms how we process data. Machine Learning algorithms analyze data patterns that humans might overlook.

Data Analytics 130

Data Analytics Data Analytics Visualization Healthcare 130

Insight Software

MAY 9, 2024

ETL is a specific type of data pipeline that focuses on the process of extracting data from sources, transforming it, and loading it into a destination, such as a data warehouse or data lake. ETL is primarily used for data warehousing and business intelligence applications. How is ELT different from ETL?

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52