Astera

AUGUST 8, 2023

What matters is how accurate, complete and reliable that data. Data quality is not just a minor detail; it is the foundation upon which organizations make informed decisions, formulate effective strategies, and gain a competitive edge. to help clean, transform, and integrate your data.

Data Quality 52

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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

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

DECEMBER 16, 2024

Astera Astera is an all-in-one, no-code platform that simplifies data management with the power of AI. With Asteras visual UI, users automate workflows, connect diverse data sources, and build and manage data pipelines without writing a single line of code. Book a demo today to see what Astera is all about.

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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?

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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These large data volumes present numerous data management challenges for companies, especially those with outdated management systems.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. Lack of consistent quality.

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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These large data volumes present numerous data management challenges for companies, especially those with outdated management systems.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. Lack of consistent quality.

Data Management 52

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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

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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

JANUARY 23, 2023

Billion by 2026 , showing the crucial role of health data management in the industry. 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.

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Astera

JANUARY 1, 2025

Astera Astera is an enterprise-grade, unified, AI-powered data management platform. It automatically extracts, validates, integrates, and stores data, eliminating the need for manual intervention. Process invoices quickly: Leverage AI-powered automation to extract data accurately and promptly, regardless of format or layout.

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Astera

AUGUST 29, 2024

Setting Goals and Objectives: Defining the desired outcomes of the integration project, including data quality improvements, system efficiency gains, and business benefits. Step 2: Data Mapping and Profiling This step involves understanding the relationships between data elements from different systems.

Data Governance 52

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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

JUNE 14, 2024

But now, with the data-driven culture, modern enterprises are adopting an agile approach toward data governance that primarily centers around data accessibility and empowering business users to take responsibility for governing and managing data. Adjusting policies based on feedback and performance data.

Data Governance 52

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Astera

DECEMBER 29, 2023

Its ability to handle both types of workloads in a unified platform can simplify the overall data management process for your business. Integration of External Data Sources When you need to integrate data from diverse external sources, SQL Server’s PolyBase feature can facilitate the process.

Data Warehouse 52

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Astera

DECEMBER 29, 2023

Its ability to handle both types of workloads in a unified platform can simplify the overall data management process for your business. Integration of External Data Sources When you need to integrate data from diverse external sources, SQL Server’s PolyBase feature can facilitate the process.

Data Warehouse 52

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Astera

MARCH 19, 2024

It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle. At its core, data governance aims to answer questions such as: Who owns the data? What data is being collected and stored?

Data Governance 52

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Astera

JUNE 6, 2024

Data governance is the framework of policies, procedures, and roles responsible for ensuring data quality, security, and compliance within an organization. With proper data governance, organizations can use their data to make informed decisions and minimize non-compliance risks.

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Astera

AUGUST 13, 2024

After modernizing and transferring the data, users access features such as interactive visualization, advanced analytics, machine learning, and mobile access through user-friendly interfaces and dashboards. What is Data-First Modernization? It involves a series of steps to upgrade data, tools, and infrastructure.

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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. When data is made available to everyone, the organization risks unauthorized access and data breaches.

Data Quality 52

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Astera

AUGUST 12, 2024

Financial data integration faces many challenges that hinder its effectiveness and efficiency in detecting and preventing fraud. Challenges of Financial Data Integration Data Quality and Availability Data quality and availability are crucial for financial data integration project, especially detecting fraud.

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Inflexion Analytics

MAY 22, 2024

Overcoming Challenges: While data analytics and reporting offer numerous benefits, law firms must address challenges such as data quality, security, and skill development to fully harness their potential. Ensuring data integrity through robust governance practices and investing in secure data management systems are paramount.

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Astera

JUNE 5, 2024

This streaming data is ingested through efficient data transfer protocols and connectors. Stream Processing Stream processing layers transform the incoming data into a usable state through data validation, cleaning, normalization, data quality checks, and transformations. Request a Demo

Real-time Data 52

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Astera

APRIL 24, 2024

These tools are also flexible, as they can efficiently manage dynamic data sources, seamlessly incorporating data from new sources without requiring a complete system. This flexibility allows businesses to update and expand their data management strategies without disruption continuously.

Data Warehouse 52

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Astera

FEBRUARY 16, 2024

Customer data is strategic, yet most finance organizations use only a fraction of their data. Finance 360 is a comprehensive approach to data management that bypasses these challenges, giving you a complete and accurate picture of your financial performance and health.

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Astera

DECEMBER 28, 2023

These data pipelines enable users to establish native connectivity to a wide range of endpoints, including files such as PDFs, XML, Excel, etc., databases and data warehouses , whether on-premises or in the cloud, data lakes , cloud storages, web applications, as well as data visualization and BI tools, consolidating their company-wide data.

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Astera

DECEMBER 28, 2023

These data pipelines enable users to establish native connectivity to a wide range of endpoints, including files such as PDFs, XML, Excel, etc., databases and data warehouses , whether on-premises or in the cloud, data lakes , cloud storages, web applications, as well as data visualization and BI tools, consolidating their company-wide data.

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Astera

SEPTEMBER 4, 2024

Unified data governance Even with decentralized data ownership, the data mesh approach emphasizes the need for federated data governance , helping you implement shared standards, policies, and protocols across all your decentralized data domains. What is Data Fabric?

Data Architecture 52

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Astera

DECEMBER 23, 2022

Thankfully, we have project management and version control tools, like Jira, Trello, Git, and others, to tackle this nuisance and keep track of version history and maintain branches so that this process is simplified. This blog will discuss how Astera’s built-in Git integration helps streamline data management projects.

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Astera

AUGUST 15, 2024

One such scenario involves organizational data scattered across multiple storage locations. In such instances, each department’s data often ends up siloed and largely unusable by other teams. This displacement weakens data management and utilization. The solution for this lies in data orchestration.

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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.

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Astera

DECEMBER 21, 2022

A voluminous increase in unstructured data has made data management and data extraction challenging. The data needs to be converted into machine-readable formats for analysis. However, the growing importance of data-driven decisions has changed how managers make strategic choices. Read on to find out.

Data Mining 52

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Astera

FEBRUARY 9, 2024

Financial data integration faces many challenges that hinder its effectiveness and efficiency in detecting and preventing fraud. Challenges of Financial Data Integration Data Quality and Availability Data quality and availability are crucial for any data integration project, especially for fraud detection.

IBM Support 52

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Astera

OCTOBER 10, 2023

One of the first steps in the data management cycle is data mapping. Data mapping is the process of defining how data elements in one system or format correspond to those in another. Another benefit of data mapping in data integration is improved data quality management.

IBM Maintenance 52

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Astera

DECEMBER 16, 2022

Thankfully, we have project management and version control tools, like Jira, Trello, Git, and others, to tackle this nuisance and keep track of version history and maintain branches so that this process is simplified. This blog will discuss how Astera’s built-in Git integration helps streamline data management projects.

Data Management 52

Data Management User Experience Project Management Data Quality 52

Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

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Astera

MAY 8, 2024

Improved Data Quality and Governance: Access to high-quality data is crucial for making informed business decisions. A business glossary is critical in ensuring data integrity by clearly defining data collection, storage, and analysis terms. Sign up for a free, customized demo.

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