Astera

APRIL 24, 2024

What is a Data Governance Framework? 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

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.

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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.

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Astera

APRIL 29, 2024

An effective data governance strategy is crucial to manage and oversee data effectively, especially as data becomes more critical and technologies evolve. What is a Data Governance Strategy? A data governance strategy is a comprehensive framework that outlines how data is named, stored, and processed.

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The BAWorld

JANUARY 19, 2025

It serves as a single, central layer for data, making it easier for everyone in an organization to access data in a consistent, fast, and secure way. This helps teams use self-service tools to analyze data and make decisions. Monitor Dataset Size: Keep the dataset size manageable to avoid memory and performance issues.

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Analysts Corner

JUNE 18, 2023

Python, Java, C#) Familiarity with data modeling and data warehousing concepts Understanding of data quality and data governance principles Experience with big data platforms and technologies (e.g., Oracle, SQL Server, MySQL) Experience with ETL tools and technologies (e.g.,

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Astera

NOVEMBER 1, 2023

Introduction   As financial institutions navigate intricate market dynamics and heighten regulatory requirements, the need for reliable and accurate data has never been more pronounced. This has spotlighted data governance—a discipline that shapes how data is managed, protected, and utilized within these institutions.

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Astera

MAY 4, 2023

Given that transparency plays an important role in document processing, it is imperative for businesses to implement measures that ensure transparency. from 2022 to 2027. Transparency: The Key Ingredient for Successful Automated Document Processing The global intelligent document processing market revenue stood at $1.1

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Astera

DECEMBER 16, 2024

Pre-Built Transformations: It offers pre-defined drag-and-drop and Python code-based transformations to help users clean and prepare data for analysis. Scalability: It can handle large-scale data processing, making it suitable for organizations with growing data volumes.

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Astera

NOVEMBER 28, 2023

This highlights the need for effective data pipeline monitoring. Data pipeline monitoring enhances decision-making, elevates business performance, and increases trust in data-driven operations, contributing to organizational success. What is Data Pipeline Monitoring?

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Tableau

OCTOBER 8, 2021

Connecting directly to this semantic layer will help give customers access to critical business data in a safe, governed manner. This partnership makes data more accessible and trusted. Combining and analyzing Shopify and Google Analytics data helped eco-friendly retailer Koh improve customer retention by 25%.

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Sisense

JULY 6, 2020

These subsystems each play a vital part in your overall EDM program, but three that we’ll give special attention to are data governance, architecture, and warehousing. Data governance is the foundation of EDM and is directly related to all other subsystems. – How do you plan to use these final data products?

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Tableau

OCTOBER 26, 2021

This is the final post in a three-part series about data and analytics governance. In case you missed them, read the first to hear from Tableau’s own data governance team , and the second to learn how good governance accelerates your Data Culture. November 2, 2021.

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Tableau

OCTOBER 26, 2021

This is the final post in a three-part series about data and analytics governance. In case you missed them, read the first to hear from Tableau’s own data governance team , and the second to learn how good governance accelerates your Data Culture. November 2, 2021.

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BI Insight

APRIL 29, 2023

Power BI is more than just a reporting tool; it is a comprehensive analytical platform that enables users to collaborate on data insights and share them internally and externally. In recent years, Power BI has become one of the most widely used business intelligence (BI) tools.

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Astera

JUNE 12, 2024

Data lineage is an important concept in data governance. It outlines the path data takes from its source to its destination. Understanding data lineage helps increase transparency and decision-making for organizations reliant on data. This complete guide examines data lineage and its significance for teams.

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Astera

JULY 12, 2024

A resource catalog is a systematically organized repository that provides detailed information about various data assets within an organization. This catalog serves as a comprehensive inventory, documenting the metadata, location, accessibility, and usage guidelines of data resources.

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Business Analysis Knowledge Share

OCTOBER 24, 2023

Data Governance Ensure that data in the warehouse is governed and properly documented. Implement data stewardship practices to maintain data quality. Stay Current The field of Data Warehousing is continually evolving. Q4: What is the role of a Data Steward in Data Warehousing?

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Tableau

OCTOBER 8, 2021

Connecting directly to this semantic layer will help give customers access to critical business data in a safe, governed manner. This partnership makes data more accessible and trusted. Combining and analyzing Shopify and Google Analytics data helped eco-friendly retailer Koh improve customer retention by 25%.

Government 98

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Astera

MAY 8, 2024

A business glossary is critical in ensuring data integrity by clearly defining data collection, storage, and analysis terms. When everyone adheres to standardized terminology, it minimizes data interpretation and usage discrepancies. They also monitor resource allocation and ensure that risks are managed effectively.

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Data Pine

SEPTEMBER 29, 2022

Once this data is tallied, it can be connected to an online reporting software to report on the state of quality and the exceptions that exist within a data quality dashboard. Reporting and monitoring are the crux of enterprise data quality management ROI, as they provide visibility into the state of data at any moment in real time.

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Astera

MAY 20, 2024

Data Provenance vs. Data Lineage Two related concepts often come up when data teams work on data governance: data provenance and data lineage. Data provenance covers the origin and history of data, including its creation and modifications. Why is Data Lineage Important?

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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

MAY 14, 2024

Let’s look at some of the metadata types below: Operational metadata: details how and when data occurs and transforms. This metadata type helps to manage, monitor, and optimize system architecture performance. Examples include time stamps, execution logs, data lineage, and dependency mapping. Image by Astera.

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Astera

JUNE 6, 2023

The best data pipeline tools offer the necessary infrastructure to automate data workflows, ensuring impeccable data quality, reliability, and timely availability. Empowering data engineers and analysts, these tools streamline data processing, integrate diverse sources, and establish robust data governance practices.

Data Warehouse 52

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Astera

MAY 13, 2024

Consolidating, summarized data from wide-ranging sources ensures you aren’t considering just one perspective in your analysis. Performance Monitoring Data aggregation facilitates you in monitoring key performance indicators (KPIs) more effectively.

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Astera

JUNE 6, 2023

Technology Selection: Choose suitable tools and technologies based on data volume, processing needs, compatibility, and cloud options. Data Flow and Integration Design: Design the overall data flow and integration processes, including sequencing, transformation rules, and data governance policies.

Data Quality 52

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Astera

FEBRUARY 28, 2024

Given the generally complex nature of the data warehouse architecture, there are certain data warehouse best practices that focus on performance optimization, data governance and security, scalability and future-proofing, and continuous monitoring and improvement.

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Astera

NOVEMBER 27, 2023

Data Migration and System Development: Before migrating data from one system to another or developing new software systems, data profiling helps identify potential data issues and ensures seamless data transfer and system interoperability.

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Astera

MARCH 20, 2024

For example, with a data warehouse and solid foundation for business intelligence (BI) and analytics , you can respond quickly to changing market conditions, emerging trends, and evolving customer preferences. Data breaches and regulatory compliance are also growing concerns. Data Quality Management Not all data is created equal.

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Astera

JANUARY 2, 2024

When data is organized and accessible, different departments can work cohesively, sharing insights and working towards common goals. Data Governance vs Data Management One of the key points to remember is that data governance and data management are not the same concepts—they are more different than similar.

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Astera

FEBRUARY 16, 2024

These tools and frameworks provide features and functionalities that can enhance the performance and efficiency of the ETL process, such as data cleaning, data aggregation, data merging, data analysis, data visualization, web scraping, data movement, workflow management, scheduling, logging, and monitoring.

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Astera

JANUARY 1, 2024

This eBook is your guide to ensuring data quality across your organization for accurate BI and analytics. 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.

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Astera

JANUARY 1, 2024

This eBook is your guide to ensuring data quality across your organization for accurate BI and analytics. 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.

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Astera

AUGUST 16, 2024

Importance of Workflow Automation Workflow automation allows tasks, documents, and information to flow automatically across work-related activities. Measure Key Performance Indicators Use your system’s analysis tools to monitor your workflow’s performance. HIPAA, GDPR) for protecting sensitive data.

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Astera

JULY 3, 2024

It creates a space for a scalable environment that can handle growing data, making it easier to implement and integrate new technologies. Moreover, a well-designed data architecture enhances data security and compliance by defining clear protocols for data governance.

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Astera

FEBRUARY 27, 2024

Best Practices for Data Warehouses Adopting best practices tailored to optimize performance, fortify security, establish robust governance, ensure scalability, and maintain vigilant monitoring is crucial to extract the maximum benefits from your data warehouses.

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