The Data Administration Newsletter

JULY 6, 2021

The business case for data governance has been made several times in these pages. There can be no disagreement that every company and every government office must have a data governance strategy in place. Establishing good data governance is not just about avoiding regulatory fines.

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Data Governance Government Artificial Intelligence Data Management 96

Dataversity

NOVEMBER 9, 2023

In today’s data-driven world, where every byte of information holds untapped potential, effective Data Management has become a central component of successful businesses. The ability to collect and analyze data to gain valuable insights is the basis of informed decision-making, innovation, and competitive advantage.

Data Management 147

Data Management Innovation Data Quality Data Governance 147

Dataversity

OCTOBER 23, 2023

This problem will become more complex as organizations adopt new resource-intensive technologies like AI and generate even more data. By 2025, the IDC expects worldwide data to reach 175 zettabytes, more […] The post Why Master Data Management (MDM) and AI Go Hand in Hand appeared first on DATAVERSITY.

Master Data Management 162

Master Data Management Data Management Data Quality Data Governance 162

Dataversity

APRIL 22, 2022

As the saying goes, “data is the new oil.” However, in order for data to be truly useful, it needs to be managed effectively. This is where the following 16 internal Data Management best practices come […]. The post 16 Internal Data Management Best Practices appeared first on DATAVERSITY.

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Data Management Digital Data Quality Data Governance 130

The Data Administration Newsletter

FEBRUARY 28, 2023

The project management profession, like many others, faces an emergent threat from artificial intelligence (AI)-based technologies. Project managers are likely to experience a major upheaval during the 2020s. Although 80% is arguably a bit extreme, I expect […]

Artificial Intelligence 59

Artificial Intelligence Project Management Data Governance Big Data 59

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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Government Data Warehouse Data Governance Digital 145

The Data Administration Newsletter

JULY 4, 2023

In today’s rapidly changing and advancing world of artificial intelligence (AI), generative AI, and large language models (LLMs), data has become the lifeblood of innovation. Data fuels algorithms, powers decision-making processes, and shapes the future impact of technology.

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Data Governance Government Artificial Intelligence Innovation 64

The Data Administration Newsletter

SEPTEMBER 21, 2022

Data is the viral sensation crashing the data governance capacity. Use of data is disrupting industries, economies, even some government elections. Unlocking the secrets data holds is the number one challenge in every single company regardless of the size or industry. And yet, execution, […].

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The Data Administration Newsletter

JULY 3, 2024

Terms like artificial intelligence (AI) and augmented intelligence are often used interchangeably. However, they represent fundamentally different approaches to utilizing technology, especially when it comes to data governance.

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Artificial Intelligence Data Governance Government Data Management 52

The Data Administration Newsletter

AUGUST 15, 2023

Artificial Intelligence (AI), Machine Learning (ML) and Large Language Models (LLM) have turned the world on its head. From finance to manufacturing to pharmaceuticals to retail, every industry is jumping on the AI/ML bandwagon. And for good reason. AI/ML applications can absorb […]

Data Governance 52

Data Governance Pharmaceutical Artificial Intelligence Government 52

Tableau

MAY 11, 2022

They rank disconnected data and systems among their biggest challenges alongside budget constraints and competing priorities. Data fabrics are gaining momentum as the data management design for today’s challenging data ecosystems. Throughout the years, we’ve tackled the challenge of data and content reuse.

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Data Warehouse Government Artificial Intelligence Data Discovery 98

Tableau

MAY 11, 2022

They rank disconnected data and systems among their biggest challenges alongside budget constraints and competing priorities. Data fabrics are gaining momentum as the data management design for today’s challenging data ecosystems. Throughout the years, we’ve tackled the challenge of data and content reuse.

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Astera

DECEMBER 16, 2024

What is one thing all artificial intelligence (AI), business intelligence (BI), analytics, and data science initiatives have in common? They all need data pipelines for a seamless flow of high-quality data. Astera Astera is an all-in-one, no-code platform that simplifies data management with the power of AI.

Data Warehouse 52

Data Warehouse Real-time Data Monitoring Data Quality 52

The BAWorld

MAY 25, 2024

While data has extreme potential to change how we run things in the business world, there are also cons or risks if this data is mishandled. By the time we reached the 2020s, the emphasis or the focus moved to collecting and managing high-quality data for specific requirements or purposes.

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Artificial Intelligence Data Governance Government Data Quality 52

The Data Administration Newsletter

JUNE 6, 2023

In the last few months, we have seen the wave of Artificial Intelligence break on the shores of wide-scale business adoption and mainstream media coverage of Large Language Models, most famously ChatGPT.

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Artificial Intelligence Government Data Governance Data Management 75

Domo

SEPTEMBER 25, 2023

Josh James, CEO of Domo, shares his views on present trends and the increasing significance of Artificial Intelligence (AI) within the startup ecosystem. Finally, Josh stresses the significance of data governance and positions himself away from the habit of businesses blindly utilizing AI applications.

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Artificial Intelligence Data Governance Government Data Management 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.

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Data Governance Government Data Discovery Data Quality 52

The Data Administration Newsletter

MARCH 20, 2024

Organizations often struggle with finding nuggets of information buried within their data to achieve their business goals. Technology sometimes comes along to offer some interesting solutions that can bridge that gap for teams that practice good data management hygiene.

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Data Management Data Governance Artificial Intelligence Big Data 105

The Data Administration Newsletter

MAY 15, 2024

Artificial intelligence (AI) is rapidly reshaping our world, influencing everything from the way we work to the way we live. At the heart of this transformation lies data, the fuel that powers AI systems. How we manage this data can determine whether […]

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Artificial Intelligence Data Governance Cybersecurity Government 52

The Data Administration Newsletter

SEPTEMBER 4, 2024

However, while solutions like ChatGPT continue growing in popularity among everyday users, the most significant potential of artificial intelligence lies in […] And considering the wide range of use cases for AI tools, that’s not much of a surprise.

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Artificial Intelligence Data Governance Government Data Management 52

Domo

MARCH 27, 2024

SILICON SLOPES, Utah – Today Domo (Nasdaq: DOMO) announced at Domopalooza: the AI + Data Conference the expansion of its partnership with Snowflake , the Data Cloud Company, including the launch of Domo’s award-winning Magic ETL capabilities on the Snowflake Data Cloud.

Artificial Intelligence 52

Artificial Intelligence Government Data Governance Business Intelligence 52

Domo

MARCH 27, 2024

SILICON SLOPES, Utah – Today Domo (Nasdaq: DOMO) announced at Domopalooza: the AI + Data Conference the expansion of its partnership with Snowflake , the Data Cloud Company, including the launch of Domo’s award-winning Magic ETL capabilities on the Snowflake Data Cloud.

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Artificial Intelligence Government Data Governance Business Intelligence 52

The Data Administration Newsletter

OCTOBER 3, 2023

I also participated in an executive dinner and roundtable to focus on artificial intelligence (AI). During the CDM Media’s September 2023 Houston CDO and CIO/CISO Summit, I joined a group of business and IT leaders across various industries to share perspectives and best practices.

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Artificial Intelligence Data Governance Cybersecurity Government 52

The Data Administration Newsletter

FEBRUARY 21, 2024

Explainable AI refers to ways of ensuring that the results and outputs of artificial intelligence (AI) can be understood by humans. It contrasts with the concept of the “black box” AI, which produces answers with no explanation or understanding of how it arrived at them.

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Artificial Intelligence Data Modelling Data Governance Data Visualization 52

Astera

AUGUST 13, 2024

After modernizing and transferring the data, users access features such as interactive visualization, advanced analytics, machine learning, and mobile access through user-friendly interfaces and dashboards. What is Data-First Modernization? It involves a series of steps to upgrade data, tools, and infrastructure.

Data Governance 52

Data Governance Data Architecture Data Quality Real-time Data 52

Astera

JULY 13, 2023

Data integration involves combining data from different sources into a single location, while data consolidation is performed to standardize data structure to ensure consistency. Organizations must understand the differences between data integration and consolidation to choose the right approach for their data management needs.

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Data Warehouse Data Quality Data Governance Master Data Management 40

Domo

OCTOBER 9, 2019

Q: What are the greatest data management challenges facing large organizations conducting business across the world? That improvement comes in the form of greater transparency and communication, allowing for individual choice, and more thoughtful data management practices generally. What could they do to be better?

Government 52

Government Cybersecurity Data Governance Data Management 52

Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, It supersedes Data Vault 1.0, Data Vault 2.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Astera

MAY 14, 2024

Data Provenance is vital in establishing data lineage, which is essential for validating, debugging, auditing, and evaluating data quality and determining data reliability. Data Lineage vs. Data Provenance Data provenance and data lineage are the distinct and complementary perspectives of data management.

Supply Chain 52

Supply Chain Data Quality Artificial Intelligence Documentation 52

Astera

AUGUST 15, 2024

One such scenario involves organizational data scattered across multiple storage locations. In such instances, each department’s data often ends up siloed and largely unusable by other teams. This displacement weakens data management and utilization. The solution for this lies in data orchestration.

Data Quality 52

Data Quality Monitoring Artificial Intelligence Government 52

Astera

FEBRUARY 16, 2024

Customer data is strategic, yet most finance organizations use only a fraction of their data. Finance 360 is a comprehensive approach to data management that bypasses these challenges, giving you a complete and accurate picture of your financial performance and health.

Finance 52

Finance Banking Data Quality Artificial Intelligence 52

Astera

JANUARY 18, 2024

Data Quality : It includes features for data quality management , ensuring that the integrated data is accurate and consistent. Data Governance : Talend’s platform offers features that can help users maintain data integrity and compliance with governance standards.

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IBM Support IBM Maintenance IBM cost Data Warehouse 52

Astera

JUNE 3, 2024

So, whether you’re checking the weather on your phone, making an online purchase, or even reading this blog, you’re accessing data stored in a database, highlighting their importance in modern data management. Concurrency problems and incomplete transactions lead to data corruption.

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Data Warehouse Documentation E-Commerce Data Management 52

The Data Administration Newsletter

JUNE 19, 2024

AI governance has become a critical topic in today’s technological landscape, especially with the rise of AI and GenAI. Implementing effective guardrails for AI governance has become a major point of discussion, with a […]

Government 98

Government Data Governance Artificial Intelligence Data Management 98

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. The significance of EDWs lies in their capacity to turn raw data into actionable insights.

Data Warehouse 52

Data Warehouse E-Commerce Supply Chain Real-time Data 52

Astera

JUNE 13, 2023

Machine Learning and AI Data pipelines provide a seamless flow of data for training machine learning models. This enables organizations to develop predictive analytics, automate processes, and unlock the power of artificial intelligence to drive their business forward. Find out How

E-Commerce 52

E-Commerce Data Quality Real-time Data Data Warehouse 52

Astera

AUGUST 5, 2024

Data Quality and Integration Ensuring data accuracy, consistency, and integration from diverse sources is a primary challenge when analyzing business data. Implementing robust data governance frameworks and quality assurance processes is essential to address this.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40