Dataversity

MAY 26, 2023

How can you ensure that your data meets expectations after every transformation? That’s where data quality testing comes in. Data testing uses a set of rules to check if the data conforms to […] The post Testing and Monitoring Data Pipelines: Part One appeared first on DATAVERSITY.

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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.

Data Governance 52

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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

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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Domo

JUNE 22, 2023

If this sounds familiar to you, it’s because the same things have been said about data for decades. 3 AI Governance Tips Given the similarities between data governance and AI governance, what data governance learnings can we apply to AI governance?

Government 98

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Astera

APRIL 18, 2024

Prioritizing both aspects allows insurers to improve risk management practices, increase operational efficiency, and uphold the security and reliability of sensitive data throughout their operations. It operates under a well-structured governance framework, ensuring accountability and consistency in data management.

Data Quality 52

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Smart Data Collective

APRIL 24, 2023

We hear a lot about the fundamental changes that big data has brought. However, we don’t often hear about the server side of dealing with big data. Servers Play a Crucial Role in Big Data Governance In today’s digital age, the data stored on servers is critical for businesses of all sizes.

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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.

Data Quality 52

Data Quality Data Governance Government Monitoring 52

BizAcuity

APRIL 14, 2022

For example, one company let all its data scientists access and make changes to their data tables for report generation, which caused inconsistency and cost the company significantly. The best way to avoid poor data quality is having a strict data governance system in place. Big Data Storage Optimization.

Big Data 130

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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.

Data Governance 52

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Domo

FEBRUARY 1, 2024

For example, think about everything your channel owners could do when they can monitor their own analytics and make decisions without having to get on your analysts’ calendars. Ensuring data governance and security. This makes sure that your sensitive business data is managed securely and in compliance with regulatory standards.

Government 133

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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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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

JANUARY 29, 2024

Their perspectives offer valuable guidance for enterprises striving to safeguard their data in 2024 and beyond. These insights touch upon: The growing importance of protecting data. The role of data governance. Resolving data security issues. The impact of industry regulations. Emergence of new technologies.

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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.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

MAY 13, 2024

This blog offers an in-depth look at data aggregation to help you understand what it is, how it works, and how it benefits your business when done right. Understanding Data Aggregation What is Data Aggregation? Enhance Data Quality Next, enhance your data’s quality to improve its reliability.

Supply Chain 52

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Domo

JUNE 8, 2021

They also spoke to the virtues of customization and data governance, which Swire Coca-Cola’s senior vice president of strategy and planning, Genevieve LeBlanc, described as “critical to helping everyone win.” The post Virtual Event Recap: Revolutionizing Embedded Analytics first appeared on Blog.

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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.

Government 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.

Data Warehouse 52

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Domo

AUGUST 24, 2023

In our AI in Business: The Importance of Responsible Innovation webinar , Brad Kasell, Principal Technology Strategist, and Karl Altern, Principal Program Manager of Data Governance, cut through the mania and share their perspectives on AI—where it came from, where it is, where it’s going, and how we can innovate with AI responsibly.

Artificial Intelligence 52

Artificial Intelligence Innovation Government Data Governance 52

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.

Data Management 52

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Domo

MAY 24, 2023

Continuous model optimization —Businesses can keep perfecting model performance through constant tracking and monitoring. Easy deployment —Businesses can easily deploy AI models into low-code and no-code data experiences. Businesses get all the benefits of AI while adhering to strict data governance standards.

Innovation 98

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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.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

ElegantJ BI

MAY 10, 2022

Preparing the Organization for Data Democratization Data Democratization is a concept that must be cascaded throughout the organization, in order to provide access to data for all business users. Data can then be used to perform daily tasks, test assumptions, monitor and manage, solve problems, etc.

Business Intelligence 130

Business Intelligence Business Intelligence Government Data Governance 130

ElegantJ BI

MAY 10, 2022

Preparing the Organization for Data Democratization Data Democratization is a concept that must be cascaded throughout the organization, in order to provide access to data for all business users. Data can then be used to perform daily tasks, test assumptions, monitor and manage, solve problems, etc.

Business Intelligence 130

Business Intelligence Business Intelligence Government Data Governance 130

Astera

NOVEMBER 28, 2023

Therefore, it is imperative for your organization to invest in appropriate tools and technologies to streamline the process of building a data pipeline. This blog details how to build a data pipeline effectively step by step, offering insights and best practices for a seamless and efficient development process.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

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.

Data Quality 52

Data Quality Data Governance Government Data Warehouse 52

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.

Data Quality 52

Data Quality Data Governance Government Data Warehouse 52

Astera

AUGUST 8, 2023

Data quality tools make it easier for you to deal with the challenges of moder data: volume and velocity. Using these tools, you can easily automate your data quality measures and ensure you consistently get reliable insights.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

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.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

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. Once the workflow is established, you must monitor the pipeline.

IBM Support 52

IBM Support Data Quality IBM Maintenance Data Governance 52

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.

Data Mining 52

Data Mining Data Quality Data Governance Business Intelligence 52

Domo

SEPTEMBER 27, 2021

As someone whose role at Domo is to provide data governance advice to the company’s largest customers, I have lots of conversations with IT leaders about data lakes. At its core, a data lake is a centralized repository that stores all of an organization’s data.

Data Architecture 52

Data Architecture Finance Government Visualization 52

Dataversity

FEBRUARY 14, 2022

We’ve seen data and databases grow exponentially with each passing year. This added growth also brings added complexity, resulting in increased difficulty for database professionals to monitor application performance and mitigate issues as […].

Chief Data Officer 130

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Domo

NOVEMBER 4, 2021

In my 20 years working with data, I have often pushed my teams to “manage our data work like a website.” I mean that we need to monitor how data is being used, who is engaging with our data, how often they are engaging with our data, and then be prepared to field the many questions that are sure to follow.

Government 59

Government Monitoring Data Governance Data Management 59

ElegantJ BI

JANUARY 5, 2022

But, you will also need to understand what type of training or access your individual team members and teams will need, and at what level the access should be provided, so that you can design appropriate security and data governance policies.

Monitoring 130

Monitoring Planning Data Governance Vision 130

ElegantJ BI

JANUARY 5, 2022

But, you will also need to understand what type of training or access your individual team members and teams will need, and at what level the access should be provided, so that you can design appropriate security and data governance policies.

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