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. Start a Free Trial

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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

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

AUGUST 29, 2024

Step 6: Ongoing Data Governance The final phase focuses on maintaining data quality and consistency over time. Continuous data governance is essential for preserving the value of the integrated data and preventing data degradation over time.

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Astera

APRIL 3, 2024

As important as it is to know what a data quality framework is, it’s equally important to understand what it isn’t: It’s not a standalone concept—the framework integrates with data governance, security, and integration practices to create a holistic data ecosystem. Why do you need a data quality framework?

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Astera

MARCH 28, 2024

So, organizations create a data governance strategy for managing their data, and an important part of this strategy is building a data catalog. They enable organizations to efficiently manage data by facilitating discovery, lineage tracking, and governance enforcement.

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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

AUGUST 22, 2024

For a successful merger, companies should make enterprise data management a core part of the due diligence phase. This provides a clear roadmap for addressing data quality issues, identifying integration challenges, and assessing the potential value of the target company’s data.

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Astera

SEPTEMBER 4, 2024

This feature automates communication and insight-sharing so your teams can use, interpret, and analyze other domain-specific data sets with minimal technical expertise. Shared data governance is crucial to ensuring data quality, security, and compliance without compromising on the flexibility afforded to your teams by the data mesh approach.

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Astera

MAY 8, 2024

When everyone adheres to standardized terminology, it minimizes data interpretation and usage discrepancies. Moreover, a well-defined glossary supports effective data governance practices by establishing guidelines for data management, access controls, and compliance with regulatory requirements.

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Astera

JANUARY 1, 2024

Free Download Data Governance and Data Quality When it comes to managing your data, two crucial aspects to keep in mind are data governance and data quality. Think of data governance as the rulebook for data management.

Data Quality 52

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Astera

JANUARY 1, 2024

Free Download Data Governance and Data Quality When it comes to managing your data, two crucial aspects to keep in mind are data governance and data quality. Think of data governance as the rulebook for data management.

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Astera

AUGUST 30, 2024

Once the migration is complete, you can verify data integrity by conducting a data validation check. Role of Data Governance in Cloud Migration When migrating your data from on-prem to the cloud, you may overlook the documentation and design of data governance processes.

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Astera

AUGUST 8, 2023

The drag-and-drop, user-friendly interface allows both technical and non-technical users to leverage Astera solutions to carry out complex data-related tasks in minutes, improving efficiency and performance. Astera offers a comprehensive set of data quality features to ensure data accuracy, reliability, and completeness.

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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. Request a Demo

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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

DECEMBER 21, 2022

Whether you are running a video chat app, an outbound contact center, or a legal firm, you will face challenges in keeping track of overwhelming data. Managing and keeping track of all of this data is not easy. While organizing data effectively can be difficult, the rewards of doing so can be significant.

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Astera

APRIL 27, 2023

Data Stewardship: The Core of DaaS Solutions Now that you know what DaaS is, it’s important to understand the idea of data stewardship that DaaS providers use for structuring their services and improving the user experience for their users.

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Astera

OCTOBER 10, 2023

Managing data effectively is a multi-layered activity—you must carefully locate it, consolidate it, and clean it to make it usable. 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.

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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. Moreover, data sharing leads to better data governance by centralizing their data and ensuring that it is consistent, accurate, and updated.

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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

AUGUST 12, 2024

Fraudsters often exploit data quality issues, such as missing values, errors, inconsistencies, duplicates, outliers, noise, and corruption, to evade detection and carry out their schemes. According to Gartner , 60% of data experts believe data quality across data sources and landscapes is the biggest data management challenge.

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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

FEBRUARY 9, 2024

Enhancing data governance and customer insights. According to a study by SAS , only 35% of organizations have a well-established data governance framework, and only 24% have a single, integrated view of customer data.

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Ntara

JANUARY 11, 2023

These tools optimize and automate your advertising, social, commerce, content, and data management. Of these solutions, product information management (PIM) is the catalyst for ecommerce sales. Once your data is in PIM, it may not look like the demos you’ve seen. Learn more about data governance.

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Astera

JANUARY 23, 2024

Accuracy through Data Governance : Information marts empower data owners and stewards to control and maintain data quality within their domains. Governance practices, including data quality rules and security policies, are enforced at the mart level. Click here to start your free trial or schedule a demo.

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Astera

NOVEMBER 1, 2023

Businesses rely heavily on various technologies to manage and analyze their growing amounts of data. Data warehouses and databases are two key technologies that play a crucial role in data management. It is important to understand the goals and objectives of the data management system.

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Astera

JUNE 3, 2024

So, whether you’re checking the weather on your phone, making an online purchase, or even reading this blog, you’re accessing data stored in a database, highlighting their importance in modern data management. Concurrency problems and incomplete transactions lead to data corruption.

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Astera

OCTOBER 30, 2023

Elevate Your Data Quality, Zero-Coding Required View Demo Data Enrichment Techniques So how does data enrichment really work? How do you enhance the quality of your data and make sure that it provides value? Be flexible and ready to adapt to enhance your data enrichment approach.

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Astera

JUNE 14, 2024

Automated data governance is a relatively new concept that is fundamentally altering data governance practices. Traditionally, organizations have relied on manual processes to ensure effective data governance. This approach has given governance a reputation as a restrictive discipline.

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Astera

APRIL 23, 2024

A 2021 Educase report shows that 75% of surveyed institutions have started or are planning extensive digital transformation strategies to improve their data utilization. The importance of a strategic approach to data utilization in this context cannot be overstated.

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Astera

APRIL 24, 2024

The platform leverages a high-performing ETL engine for efficient data movement and transformation, including mapping, cleansing, and enrichment. Key Features: AI-Driven Data Management : Streamlines data extraction, preparation, and data processing through AI and automated workflows.

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Astera

AUGUST 15, 2024

For modern organizations, data is a commodity almost always in flux, which exposes it to risk-related challenges. This makes proper data access management even more critical. What Is Data Access Management? Data access management is crucial to an organization’s overall data management strategy.

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Insight Software

MARCH 4, 2024

Navigating the Data Maze: Challenges in the SAP Landscape For SAP users, data management can feel like a labyrinth, fraught with obstacles and frustrating dead ends. The burden of manual data entry looms large, with endless spreadsheets consuming valuable time and resources.

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Insight Software

AUGUST 15, 2024

In today’s fast-paced business environment, having control over your data can be the difference between success and stagnation. Leaning on Master Data Management (MDM), the creation of a single, reliable source of master data, ensures the uniformity, accuracy, stewardship, and accountability of shared data assets.

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Insight Software

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

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Insight Software

DECEMBER 17, 2021

Automating Data Management to Transform Reporting Processes. The combination of a lack of data governance and control, coupled with insufficient automation has a negative impact on the productivity and timeliness of the group reporting process. Automation and data management go hand-in-hand. Enable cookies.

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