ElegantJ BI

DECEMBER 15, 2015

Debunking Common Business Intelligence Myths Myth #2 – True Self-Serve BI Tools Will Compromise Data Governance Today’s business intelligence market offers many options! In this, the second of the article series, we delve into data governance and separate fact from fiction.

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ElegantJ BI

DECEMBER 15, 2015

Myth #2 – True Self-Serve BI Tools Will Compromise Data Governance. In this, the second of the article series, we delve into data governance and separate fact from fiction. In many BI implementation scenarios, accessibility, trust and usability of Business Intelligence (BI) solutions is hampered by Data Anarchy.

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Astera

FEBRUARY 28, 2024

They’re the interactive elements, letting users not just see the data but also analyze and visualize it in their own unique way. Best Practices for Data Warehouses Adopting data warehousing best practices tailored to your specific business requirements should be a key component of your overall data warehouse strategy.

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Tableau

MAY 11, 2022

If you are tasked with enforcing data management, you can have access to metrics on what data is being used, by whom, and at what frequency to make data source cleanup easier. . Connect and manage disparate data securely. The average enterprise has data in over 800 applications, and just 29% of them are connected.

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Tableau

MAY 11, 2022

If you are tasked with enforcing data management, you can have access to metrics on what data is being used, by whom, and at what frequency to make data source cleanup easier. . Connect and manage disparate data securely. The average enterprise has data in over 800 applications, and just 29% of them are connected.

Data Warehouse 92

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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

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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Dataversity

SEPTEMBER 20, 2021

Click to learn more about author Balaji Ganesan. Sources indicate 40% more Americans will travel in 2021 than those in 2020, meaning travel companies will collect an enormous amount of personally identifiable information (PII) from passengers engaging in “revenge” travel.

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ElegantJ BI

JANUARY 7, 2020

Modern BI supports collaboration, while providing appropriate data governance and data security. ’ Modern BI solutions allow for and support user adoption, and deliver more benefit, better ROI and lower TCO to the organization by empowering business users and holding each team member accountable for results.

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ElegantJ BI

JANUARY 7, 2020

Modern BI supports collaboration, while providing appropriate data governance and data security. ’ Modern BI solutions allow for and support user adoption, and deliver more benefit, better ROI and lower TCO to the organization by empowering business users and holding each team member accountable for results.

Data Discovery 130

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ElegantJ BI

JANUARY 7, 2020

Modern BI supports collaboration, while providing appropriate data governance and data security. ’ Modern BI solutions allow for and support user adoption, and deliver more benefit, better ROI and lower TCO to the organization by empowering business users and holding each team member accountable for results.

Data Discovery 130

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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.

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Astera

FEBRUARY 27, 2024

Data Governance and Documentation Establishing and enforcing rules, policies, and standards for your data warehouse is the backbone of effective data governance and documentation. This not only aids user comprehension of data but also facilitates seamless data discovery, access, and analysis.

Data Warehouse 52

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Astera

FEBRUARY 27, 2024

Data Governance and Documentation Establishing and enforcing rules, policies, and standards for your data warehouse is the backbone of effective data governance and documentation. This not only aids user comprehension of data but also facilitates seamless data discovery, access, and analysis.

Data Warehouse 52

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ElegantJ BI

JULY 25, 2018

Data Discovery Tools and Data Governance: A Dynamite Combination! If your organization is planning to implement advanced analytics tools or to democratize the use of data discovery tools, your IT staff and senior management are probably concerned about losing control of data access and about data security.

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ElegantJ BI

JULY 25, 2018

Data Discovery Tools and Data Governance: A Dynamite Combination! If your organization is planning to implement advanced analytics tools or to democratize the use of data discovery tools, your IT staff and senior management are probably concerned about losing control of data access and about data security.

Data Discovery 130

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ElegantJ BI

JULY 25, 2018

Data Discovery Tools and Data Governance: A Dynamite Combination! If your organization is planning to implement advanced analytics tools or to democratize the use of data discovery tools, your IT staff and senior management are probably concerned about losing control of data access and about data security.

Data Discovery 130

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ElegantJ BI

NOVEMBER 29, 2018

One of the most common excuses used to avoid data democratization and self-serve augmented data discovery is that the organization cannot guarantee data integrity and that, if business users have access to dated, incorrect or incomplete data, the resulting decisions will not be better but rather worse than the decisions made today.

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ElegantJ BI

NOVEMBER 29, 2018

One of the most common excuses used to avoid data democratization and self-serve augmented data discovery is that the organization cannot guarantee data integrity and that, if business users have access to dated, incorrect or incomplete data, the resulting decisions will not be better but rather worse than the decisions made today.

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ElegantJ BI

NOVEMBER 29, 2018

One of the most common excuses used to avoid data democratization and self-serve augmented data discovery is that the organization cannot guarantee data integrity and that, if business users have access to dated, incorrect or incomplete data, the resulting decisions will not be better but rather worse than the decisions made today.

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ElegantJ BI

SEPTEMBER 6, 2015

When business intelligence vendors talk about democratizing data discovery, they can have very different interpretations about ‘democracy’ If a business intends to provide self-serve BI tools to its employees for daily use and data discovery, it must provide true data democratization.

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ElegantJ BI

SEPTEMBER 6, 2015

When business intelligence vendors talk about democratizing data discovery, they can have very different interpretations about ‘democracy’ If a business intends to provide self-serve BI tools to its employees for daily use and data discovery, it must provide true data democratization.

Data Discovery 130

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ElegantJ BI

SEPTEMBER 6, 2015

When business intelligence vendors talk about democratizing data discovery, they can have very different interpretations about ‘democracy’ If a business intends to provide self-serve BI tools to its employees for daily use and data discovery, it must provide true data democratization.

Data Discovery 130

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ElegantJ BI

NOVEMBER 30, 2015

Do self-serve BI tools support data governance, integral data security and organizational IT standards and policies? The question isn’t whether the integrity of data governance can be preserved when using self-serve BI tools.

Data Governance 130

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ElegantJ BI

NOVEMBER 30, 2015

Do self-serve BI tools support data governance, integral data security and organizational IT standards and policies? The question isn’t whether the integrity of data governance can be preserved when using self-serve BI tools.

Data Governance 130

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ElegantJ BI

NOVEMBER 30, 2015

Do self-serve BI tools support data governance, integral data security and organizational IT standards and policies? The question isn’t whether the integrity of data governance can be preserved when using self-serve BI tools.

Data Governance 130

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Dataversity

NOVEMBER 27, 2023

However, making the right data available to the right people at the right time is becoming more and more challenging. While the ability to perform analytics on huge volumes of data is beefing up […] The post 7 Data Democratization Trends to Watch appeared first on DATAVERSITY.

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Astera

JANUARY 12, 2024

Modern data architecture is characterized by flexibility and adaptability, allowing organizations to seamlessly integrate structured and unstructured data, facilitate real-time analytics, and ensure robust data governance and security, fostering data-driven insights.

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Insight Software

MARCH 14, 2024

With Jet’s extensive capabilities for data validation, enrichment, and cleansing, it ensures that the data used for analysis is accurate and dependable. Data Discovery and Semantic Layer By facilitating effective data discovery and the development of a semantic layer, Jet gives Fabric users more control.

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