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.

Data Governance 52

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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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GAVS Technology

NOVEMBER 8, 2024

It is also important to understand the critical role of data in driving advancements in AI technologies. While technology innovations like AI evolve and become compelling across industries, effective data governance remains foundational for the successful deployment and integration into operational frameworks.

Supply Chain 40

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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.

Real-time Data 52

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Astera

MAY 9, 2023

In such a scenario, it becomes imperative for businesses to follow well-defined guidelines to make sense of the data. That is where data governance and data management come into play. Let’s look at what exactly the two are and what the differences are between data governance vs. data management.

Data Governance 40

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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

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. Integrate.io

Data Warehouse 52

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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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Sisense

JULY 6, 2020

Like any complex system, your company’s EDM system is made up of a multitude of smaller subsystems, each of which has a specific role in creating the final data products. 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.

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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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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.

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Business Analysis Knowledge Share

OCTOBER 27, 2023

Enhanced Data Governance : Use Case Analysis promotes data governance by highlighting the importance of data quality , accuracy, and security in the context of specific use cases. Incomplete or inaccurate data can lead to incorrect conclusions and decisions.

Business Intelligence 52

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Astera

MAY 25, 2023

That’s how it can feel when trying to grapple with the complexity of managing data on the cloud-native Snowflake platform. They range from managing data quality and ensuring data security to managing costs, improving performance, and ensuring the platform can meet future needs. So, let’s get started!

Data Quality 52

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Astera

JULY 12, 2024

A resource catalog provides a unified view of all data assets, regardless of where they are stored. This centralization simplifies data management while ensuring that users can seamlessly find and utilize data from different sources. It involves establishing processes and responsibilities to ensure proper data management.

Data Governance 52

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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.

Data Architecture 40

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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.

Data Management 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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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

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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

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

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

AUGUST 22, 2024

Data Migration: Moving data from legacy systems to new platforms requires accurate and complete data to avoid data loss or corruption. Data Validation: Verifying the accuracy and completeness of migrated data is essential to ensure data integrity.

Data Quality 52

Data Quality Data Governance Government Monitoring 52

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

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Astera

AUGUST 8, 2023

Reusable Scripts: Astera streamlines data preparation with efficient, reusable scripts across workflows, promoting automation, efficiency, and consistency. Data Security and Compliance: The tool has security and compliance features, safeguarding your data and ensuring adherence to relevant regulations.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

NOVEMBER 28, 2023

Promoting Data Governance: Data pipelines ensure that data is handled in a way that complies with internal policies and external regulations. For example, in insurance, data pipelines manage sensitive policyholder data during claim processing.

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.

Supply Chain 52

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Clarasys

JANUARY 5, 2022

The key is through the ethical collection and use of data where necessary, safeguarded by robust data privacy rules and overseen by dedicated governing bodies to ensure data security and prevent misuse. Data ethics – data collection vs utility – it’s a balancing act .

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Astera

NOVEMBER 13, 2023

For instance, marketing teams can use data from EDWs to analyze customer behavior and optimize campaigns, while finance can monitor financial performance and HR can track workforce metrics, all contributing to informed, cross-functional decision-making.

Data Warehouse 52

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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.

Data Warehouse 52

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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.

Data Warehouse 52

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Astera

JULY 13, 2023

Master Data Management (MDM) Master data management is a process of creating a single, authoritative source of data for business-critical information, such as customer or product data. One of the key benefits of MDM is that it can help to improve data quality and reduce errors.

Data Warehouse 40

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Astera

OCTOBER 12, 2023

Data Preparation: Informatica allows users to profile, standardize, and validate the data by using pre-built rules and accelerators. Data Monitoring: The solution provides users with visibility into the data set to detect and identify any discrepancies.

Data Quality 52

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Astera

MAY 4, 2023

Similarly, in the European Union, the General Data Protection Regulation (GDPR) requires that businesses ensure the lawful, fair, and transparent processing of personal data. There are also several industry-specific regulations that may apply to the use of AI-based document processing.

Documentation 40

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Astera

JUNE 3, 2024

A database secures sensitive information through access controls Using a modern database management system (DBMS) enhances data security by restricting access to unauthorized users through various access controls. Astera is one such platform; it’s an AI-powered data management platform with built-in data governance features.

Data Warehouse 52

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Astera

AUGUST 5, 2024

It examines historical and current data to understand past performance and operational trends. ” It helps organizations monitor key metrics, create reports, and visualize data through dashboards to support day-to-day decision-making. BI answers questions like “What happened?”

Supply Chain 40

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Whizlabs

JUNE 29, 2021

Azure IoT Suite provides many alternatives for the connection and monitoring of devices and the provision of analytics and telemetry services. The Azure Redis Cache is a managed variant of the Redis data structure server. Azure Search provides managed search services based on OData. Estimating The Growth.

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ElegantJ BI

JANUARY 8, 2016

Myth #2: True Self-Serve BI Tools Will Compromise Data Governance Data Anarchy exists because the enterprise does not have a manageable method of achieving data security while allowing for dynamic user access. With ElegantJ BI, you can make your developers AND business users happy!

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