Astera

JANUARY 1, 2024

What Is Data Quality? Data quality is the measure of data health across several dimensions, such as accuracy, completeness, consistency, reliability, etc. In short, the quality of your data directly impacts the effectiveness of your decisions.

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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.

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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). References [IIBA NE]. Leave a comment here or connect on LinkedIn. IIBA North East Wisconsin.

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Ntara

JUNE 26, 2023

At Ntara, we remove the mystery by clearly defining what each data engagement involves and how it helps your business. One such deliverable is a master attribute document, or MAD. What is a master attribute document? It’s important to know that a MAD is a living document, not a one-and-done project.

Data Management 52

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Business Analysis Knowledge Share

OCTOBER 24, 2023

This article will delve into the fundamental concepts of Data Warehousing, its importance for Business Analysts, and how it can be leveraged to extract valuable insights. What is Data Warehousing? Data Warehousing is the process of collecting, storing, and managing data from various sources into a central repository.

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Astera

MAY 30, 2024

Data Governance Principles Data governance principles act as a blueprint for managing the data, and facilitate decision-making regarding data storage, access, and use. This article will focus on five basic data governance principles essential in implementing a practical framework. 1.

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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.

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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.

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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.

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Astera

APRIL 28, 2023

The sheer volume of data makes extracting insights and identifying trends difficult, resulting in missed opportunities and lost revenue. Additionally, traditional data management systems are not equipped to handle the complexity of modern data sources, such as social media, mobile devices, and digitized documents.

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Astera

DECEMBER 3, 2024

One popular use case is AI to extract data from PDF files. PDF, short for portable document format, is a ubiquitous format used for reports, invoices, statements, and many other types of documents. Despite their ubiquity in document storage and sharing, PDFs pose certain challenges when it comes to data extraction.

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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?

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Astera

MARCH 19, 2024

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle. What data is being collected and stored?

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Astera

MARCH 12, 2024

A Smartsheet report found that over 40% of workers spend at least a quarter of their workweek manually extracting data. Tax specialists in many organizations spend hours or even days sorting through piles of paper or PDF documents, looking for relevant information, and entering it into spreadsheets or databases.

Documentation 52

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Data Pine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. 4) How can you ensure data quality? Who are they?

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Astera

JULY 20, 2023

By aligning data elements and formats, EDI mapping brings clarity, efficiency, and simplicity to business networks, streamlining operations and fostering seamless communication. Understanding EDI Mapping EDI mapping refers to the process of matching the data structure and format of two systems that are exchanging EDI documents.

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Astera

JUNE 12, 2024

This complete guide examines data lineage and its significance for teams. It also covers the difference between data lineage and other important data governance terms and common data lineage techniques. What is Data Lineage? Enhance data trustworthiness, transparency, and reproducibility. Where is it used?

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Astera

FEBRUARY 27, 2024

Even your interactions with mapping or weather apps involve APIs, facilitating access to location and weather data from diverse sources. While API refers to the interface, API architecture involves designing and implementing APIs. It also facilitates the documentation and testing of APIs and applications prior to deployment.

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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.

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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.

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Astera

MARCH 20, 2024

Enterprise data management (EDM) is a holistic approach to inventorying, handling, and governing your organization’s data across its entire lifecycle to drive decision-making and achieve business goals. It provides a strategic framework to manage enterprise data with the highest standards of data quality , security, and accessibility.

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Astera

SEPTEMBER 20, 2023

Data Movement Data movement from source to destination, with minimal transformation. Data movement involves data transformation, cleansing, formatting, and standardization. Data Quality Consideration Emphasis is on data availability rather than extensive data quality checks.

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Astera

SEPTEMBER 20, 2023

Data Movement Data movement from source to destination, with minimal transformation. Data movement involves data transformation, cleansing, formatting, and standardization. Data Quality Consideration Emphasis is on data availability rather than extensive data quality checks.

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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.

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Astera

JANUARY 11, 2024

Understanding the Shift from Siloed Data to Centralized Data Many organizations still operate with siloed financial data, limiting their ability to harness analytics’ power fully. In such cases, data isn’t easily accessible or shared across the organization.

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Astera

OCTOBER 12, 2023

The platform also allows you to implement rigorous data validation checks and customize rules based on your specific requirements. Furthermore, by providing real-time data health checks, the platform provides instant feedback on the data quality, enabling you to keep track of changes.

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Astera

MAY 14, 2024

Metadata refers to the information about your data. This data includes elements representing its context, content, and characteristics. It helps you discover, access, use, store, and retrieve your data, having a wide spread of variations. This metadata variation ensures proper data interpretation by software programs.

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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.

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Astera

JUNE 4, 2024

Key Features of Data Catalog Inventory of All Data Assets The data catalog encompasses structured data (e.g., relational databases), semi-structured data (e.g., JSON, XML), and even unstructured data (e.g., text documents, images, and videos).

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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?

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Astera

JUNE 3, 2024

The right database for your organization will be the one that caters to its specific requirements, such as unstructured data management , accommodating large data volumes, fast data retrieval or better data relationship mapping. These databases are suitable for managing semi-structured or unstructured data.

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Astera

FEBRUARY 20, 2023

This data is cleansed and transformed during the process to be usable for reporting and analytics, so healthcare practitioners can make informed, data-driven decisions. This data may include, but is not limited to, a patient’s medical history, EHR records, insurance claims data, demographic data, lab results, and imaging systems.

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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.

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Actian

JULY 9, 2019

It makes sense in the era of digital-transformation initiatives that integration of IT systems and data sharing across companies have become high-priority strategic initiatives. Integration is great, but it raises a new set of issues about data quality, security and governance companies must now address.

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Astera

JANUARY 18, 2023

API lifecycle management refers to the various stages an API goes through, from design and development to deployment, maintenance, and retirement. Developing API’s security measures: Determining how an API will protect sensitive data and how users will be authenticated and authorized to access an API.

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Astera

AUGUST 11, 2023

By using EDI transactions, healthcare organizations can improve their data quality, accuracy, and security, while saving time and money. For instance, healthcare EDIs allow users to exchange clinical documents, such as Continuity of Care Documents (CCDs).

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Astera

JANUARY 23, 2023

Since traditional management systems cannot cope with the massive volumes of digital data, the healthcare industry is investing in modern data management solutions to enable accurate reporting and business intelligence (BI) initiatives. What is Health Data Management ?

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