Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Astera

APRIL 2, 2023

AI-based document processing is one of the most important areas that’s becoming increasingly important for finance companies looking to streamline their document management processes and stay ahead of the competition. Learn how automated data extraction is revolutionizing the finance industry.

Finance 52

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Ntara

JUNE 26, 2023

Sometimes product data management can seem vast or vague, even to IT experts who know technology and data well. 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. Neither should your MAD.

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Data Management Documentation Data Governance Government 52

Astera

SEPTEMBER 26, 2022

Technological advancements in artificial intelligence (AI) have made it possible for businesses to unearth meaningful insights from unstructured documents more efficiently than ever. Companies must take advantage of AI-powered data extraction tools to process documents efficiently. Structuring the Unstructured Data.

Documentation 52

Documentation Artificial Intelligence Healthcare Finance 52

Astera

APRIL 28, 2023

With the ever-increasing volume of data generated and collected by companies, manual data management practices are no longer effective. Artificial intelligence (AI) and intelligent systems have significantly contributed to data management, transforming how organizations collect, store, analyze, and leverage data.

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Astera

JANUARY 2, 2024

Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place. But what exactly is data management? What Is Data Management? As businesses evolve, so does their data.

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Astera

JULY 10, 2023

They’re turning to cutting-edge technologies like AI-powered automated shipping document data extraction tools to efficiently manage this data wave. In such a scenario, automated data extraction tools can swiftly process information from shipping documents, enabling instantaneous access to critical data.

Documentation 40

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Astera

JUNE 28, 2023

One such solution gaining traction is automated legal document data extraction – a groundbreaking technology with the potential to reshape how lawyers consume data. By leveraging intelligent algorithms, automated data extraction tools swiftly analyze documents and extract specific data on their own.

Documentation 40

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Astera

JUNE 28, 2023

Revolutionize Your Law Firm’s Workflow in the Digital Age of Legal Document Management In the information age, legal firms find themselves navigating through an ocean of documents. Each document needed to be meticulously read and interpreted, requiring a great deal of effort and concentration.

Documentation 40

Documentation Digital Data Management Planning 40

Astera

DECEMBER 16, 2022

These large data volumes present numerous data management challenges for companies, especially those with outdated management systems. Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Astera Data Stack.

Data Management 52

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Astera

DECEMBER 16, 2022

These large data volumes present numerous data management challenges for companies, especially those with outdated management systems. Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Astera Data Stack.

Data Management 52

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Astera

JUNE 28, 2023

Every document holds valuable information, and a morsel of truth that can turn a case on its head. These aren’t just buzzwords; these technologies are now crucial tools that promise to transform how we manage and interpret data, ensuring precision while saving precious time.

Documentation 40

Documentation Artificial Intelligence Data Security Predictive Analytics 40

Astera

DECEMBER 2, 2022

These large data volumes present numerous challenges for companies, especially those with outdated data management systems. Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Challenge#1: Accessing organizational data.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Sisense

JULY 6, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. Employing Enterprise Data Management (EDM).

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Astera

AUGUST 22, 2023

This system promotes quick and precise transactions, thereby driving efficiency and cost-effectiveness in data management. In healthcare, managing vast amounts of data is an everyday task. Patient records, billing information, insurance details, and more all require efficient data management processes.

Healthcare 52

Healthcare Data Management Supply Chain Pharmaceutical 52

Astera

JULY 12, 2023

Human Resources (HR) departments take center stage as the driving force behind optimizing workforce management and propelling informed decision-making. 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.

Data Management 40

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Astera

JULY 6, 2023

Among them, a US-based company, a renowned player in the industry, recognized the immense potential of automating their patient data management system. For example, insurance claims often come with a myriad of supporting documents – doctors’ notes, lab results, medical invoices, and more.

Data Management 40

Data Management Documentation Innovation Healthcare 40

Astera

DECEMBER 29, 2023

Learn More The primary elements in data vault modeling are: Hubs Hubs serve as the central repositories for business keys, or identifiers, that store unique and unchanging business data and provide a solid reference point for each business entity. Links Links are entities that establish relationships between Hubs.

Data Warehouse 52

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Astera

DECEMBER 29, 2023

Learn More The primary elements in data vault modeling are: Hubs Hubs serve as the central repositories for business keys, or identifiers, that store unique and unchanging business data and provide a solid reference point for each business entity. Links Links are entities that establish relationships between Hubs.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

APRIL 3, 2023

Regulatory compliance is a top priority, yet the sheer volume of data involved can make managing it a time-consuming endeavor. AI-powered document data extraction plays a critical role in helping insurers achieve and maintain regulatory compliance by automating data retrieval and processing from various sources.

Documentation 52

Documentation Digital Transformation Data Management Data Security 52

Astera

NOVEMBER 7, 2023

Manage and Process All Incoming Files with Astera Astera’s Managed File Transfer feature is a pivotal component within Astera’s comprehensive no-code data management platform.

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Smart Data Collective

APRIL 20, 2022

Since typical data entry errors may be minimized with the right steps, there are numerous data lineage tool strategies that a corporation can follow. The steps organizations can take to reduce mistakes in their firm for a smooth process of business activities will be discussed in this blog. Make Enough Hires.

Documentation 340

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Astera

APRIL 10, 2023

However, extracting valuable information from unstructured insurance documents can be a daunting and time-consuming task. Enter Astera ReportMiner – a powerful AI-driven data extraction tool that automates the process and unlocks the true potential of insurance data. This ensures accurate and timely reporting.

Documentation 52

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Astera

APRIL 10, 2023

Harnessing the Future: Unleashing the Potential of AI in Supply Chain Management AI in supply chain management is revolutionizing the way organizations carry out the processes involved in creating, producing, and delivering goods and services. Let’s jump right in!

Supply Chain 52

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Astera

APRIL 24, 2024

It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards. The framework, therefore, provides detailed documentation about the organization’s data architecture, which is necessary to govern its data assets.

Data Governance 52

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Astera

FEBRUARY 22, 2024

The big data analytics market is moving toward an expected valuation of $655 billion in the next five years, and unstructured data processing tools will be responsible for a major chunk of this revenue. Modernizing Unstructured Data Processing AI is being increasingly integrated into data management and processing platforms.

Innovation 52

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Astera

APRIL 10, 2023

Harnessing the Future: Unleashing the Potential of AI in Supply Chain Management AI in supply chain management is revolutionizing the way organizations carry out the processes involved in creating, producing, and delivering goods and services. Let’s jump right in!

Supply Chain 52

Supply Chain Documentation Logistics Procurement 52

Astera

MARCH 26, 2023

But managing this data can be a significant challenge, with issues ranging from data volume to quality concerns, siloed systems, and integration difficulties. In this blog, we’ll explore these common data management challenges faced by insurance companies.

Documentation 52

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Astera

APRIL 24, 2024

Data ingestion is important in collecting and transferring data from various sources to storage or processing systems. In this blog, we compare the best data ingestion tools available in the market in 2024. What is Data Ingestion? Below is a list of some of the best data ingestion solutions and their key features.

Data Warehouse 52

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Astera

APRIL 24, 2024

They gather, process, and analyze data from diverse sources. From handling modest data processing tasks to managing large and complex datasets, these tools bolster an organization’s data infrastructure. What are Data Aggregation Tools? The documentation and assistance videos can be unclear and overly technical.

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Astera

FEBRUARY 6, 2024

The 5 Best Automation Claims Processing Software Astera ReportMiner Astera ReportMiner is an advanced data extraction tool designed to automate and enhance the process of extracting information from unstructured documents. Docsumo has automated cloud backup and data recovery.

IBM Maintenance 52

IBM Maintenance Documentation IBM Support IBM cost 52

Astera

FEBRUARY 15, 2024

With the inc rea sing use of automation to save time and boost efficiency , a growing number of enterprises are rea lizing the value of automating their form-processing tasks and how it can improve their data entry and management. Verify the accessibility of their customer support infrastructure.

Documentation 52

Documentation Healthcare Government Finance 52

Astera

APRIL 10, 2023

However, extracting valuable information from unstructured insurance documents can be a daunting and time-consuming task. Enter Astera ReportMiner – a powerful AI-driven data extraction tool that automates the process and unlocks the true potential of insurance data. This ensures accurate and timely reporting.

Documentation 40

Documentation Customer Experience Customer Experience Data Modelling 40

Dataversity

APRIL 26, 2022

In today’s fast-paced business world, one of the best ways for a modern enterprise to optimize processes is to rethink how to manage data. Business documents contain vital information for companies, irrespective of their size and industry.

Digital 130

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Astera

FEBRUARY 27, 2024

This abundance of data highlights the importance of streamlining the extraction process. This blog discusses the importance of data extraction in healthcare, the benefits of using AI-powered tools, and how Astera can help automate patient information extraction from registration forms to make it faster and more efficient.

Healthcare 52

Healthcare Documentation Artificial Intelligence Data Management 52

Astera

FEBRUARY 27, 2024

This abundance of data highlights the importance of streamlining the extraction process. This blog discusses the importance of data extraction in healthcare, the benefits of using AI-powered tools, and how Astera can help automate patient information extraction from registration forms to make it faster and more efficient.

Healthcare 52

Healthcare Documentation Artificial Intelligence Data Management 52

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. providing users with flexibility and extensibility in data processing.

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