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

APRIL 4, 2024

However, according to a survey, up to 68% of data within an enterprise remains unused, representing an untapped resource for driving business growth. One way of unlocking this potential lies in two critical concepts: data governance and information governance.

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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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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

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

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

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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Tableau

OCTOBER 8, 2021

Read on to learn more: Tableau is integrating with Looker to help customers connect with governed data and build a flexible data environment that scales and adapts with their evolving needs. Governed, self-service with Tableau and Looker. This partnership makes data more accessible and trusted.

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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.

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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.

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Tableau

OCTOBER 8, 2021

Read on to learn more: Tableau is integrating with Looker to help customers connect with governed data and build a flexible data environment that scales and adapts with their evolving needs. Governed, self-service with Tableau and Looker. This partnership makes data more accessible and trusted.

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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 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

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

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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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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ElegantJ BI

OCTOBER 24, 2016

In the new world of government regulation, the technology (IT) team and accounting team are both required to monitor, manage and report on financial and regulatory and business process compliance. These auditing requirements are meant to ensure that financial, planning and operational systems are adequately controlled and protected.

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ElegantJ BI

OCTOBER 24, 2016

In the new world of government regulation, the technology (IT) team and accounting team are both required to monitor, manage and report on financial and regulatory and business process compliance. These auditing requirements are meant to ensure that financial, planning and operational systems are adequately controlled and protected.

Data Governance 130

Data Governance Government Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 24, 2016

In the new world of government regulation, the technology (IT) team and accounting team are both required to monitor, manage and report on financial and regulatory and business process compliance. These auditing requirements are meant to ensure that financial, planning and operational systems are adequately controlled and protected.

Data Governance 130

Data Governance Government Business Intelligence Business Intelligence 130

Astera

FEBRUARY 27, 2024

It also simplifies data management and maintenance, reducing the risk of errors and conflicts. Performance Optimization Boosting the speed and efficiency of data warehouse operations is the key to unleashing its full potential. It is a valuable tool for managing and tracking changes and impacts.

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Astera

APRIL 24, 2024

Real-Time Data Streaming Tools : These tools ingest data continuously as it appears, making it available for immediate analysis. They are ideal for scenarios where timely data is critical, like financial trading or online services monitoring. Users often complain about outdated documentation with new version releases.

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Astera

FEBRUARY 27, 2024

It also simplifies data management and maintenance, reducing the risk of errors and conflicts. Performance Optimization Boosting the speed and efficiency of data warehouse operations is the key to unleashing its full potential. It is a valuable tool for managing and tracking changes and impacts.

Data Warehouse 52

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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)? Data breaches and regulatory compliance are also growing concerns.

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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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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

JANUARY 15, 2024

Look for vendors that offer robust documentation and high-quality support, highlighted by industry awards, while adopting an expensive software for sensitive tasks like data migration and ETL. It helps organizations break down data silos, improve data quality, and make trusted data available to users across the organization.

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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.

Data Quality 52

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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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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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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.

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Smart Data Collective

AUGUST 14, 2019

The rise of AI-powered chatbots , virtual assistants, and the Internet of Things (IoT) are driving data complexity, new forms and sources of information. “ Big data analytics: solutions to the industry challenges. Big data storage.

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Astera

OCTOBER 10, 2023

These capabilities enable businesses to handle complex data mapping scenarios and ensure data accuracy and consistency. Data Governance: Data mapping tools provide features for data governance, including version control and data quality monitoring.

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Ntara

JANUARY 11, 2023

Data governance – Form an ongoing committee to monitor data ownership. They set criteria for data origins, owners, and help avoid redundancy or unnecessary complexity. Learn more about data governance. Document training for each user role. This group can work outside of PIM over many systems.

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Astera

OCTOBER 12, 2023

million to the US government when their lack of proper screening mechanisms led to 500 PayPal transactions worth $44,000, violating sanctions against Iran, Cuba, and Sudan. Data Preparation: Informatica allows users to profile, standardize, and validate the data by using pre-built rules and accelerators.

Data Quality 52

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Astera

JULY 13, 2023

Unlike a data warehouse, a data lake does not limit the data types that can be stored, making it more flexible, but also more challenging to analyze. One of the key benefits of a data lake is that it can also store unstructured data, such as social media posts, emails, and documents.

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Clarasys

JANUARY 5, 2022

In this blog, Aneesha Harindran explores the topic of data ethics that has been brought to light during the pandemic. In these times of epidemiological crises, governments have taken emergency measures to collect, use and share population data in order to support the medical community – track, trace and eradicate COVID-19.

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Monday

JUNE 28, 2021

For example, monitoring how much time your team is spending collating a client’s financial data. Governance and security. Governance and security are especially important for modern accountants. Automating client and team communication: streamline team communication and keep clients informed during the entire process.

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