KDnuggets

AUGUST 30, 2022

Let’s dive in and understand the ins and outs of data observability and data governance - the two keys to a more robust data foundation.

Data Governance 271

Data Governance Data Observability Data Science 271

Data Science Dojo

JANUARY 13, 2023

In this blog, we will share the list of leading data science conferences across the world to be held in 2023. This will help you to learn and grow your career in data science, AI and machine learning. Top data science conferences 2023 in different regions of the world 1.

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Data Science Data Mining Data Mining Data Mining 284

Dataconomy

AUGUST 4, 2022

To achieve business results, all businesses must establish a data governance framework that ensures that data is treated similarly across the organization. Without effective data governance, tracking when and from where erroneous data enters your systems and who is utilizing it is impossible.

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Data Governance Big Data Big Data Data Science 247

Dataconomy

MARCH 4, 2022

Data governance is becoming increasingly essential as businesses confront new data privacy regulations and rely more on data analytics to optimize operations and make business decisions. Data governance is the process of collecting, managing, and utilizing data to provide improved business decision-making.

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Data Science Blog

JULY 23, 2023

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. The integration of these technologies helps companies harness data for growth and efficiency. Each applications has its own data model.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

KDnuggets

OCTOBER 15, 2019

The way we control our data isn’t working. Data is as vulnerable as ever. Download this white paper, which outlines lessons about how data science and governance programs can, if implemented properly, reinforce each other’s objective.

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Data Governance Data Science 178

insideBIGDATA

AUGUST 6, 2024

KNIME, one of the leading open-source data science and AI companies, has raised additional funding from its longstanding investor Invus. Since the last announcement, Invus invested another $30M, bringing total funding to $50M.

Data Science 221

Data Science AI AI Data Governance 221

Analytics Vidhya

SEPTEMBER 26, 2023

Introduction In today’s dynamic financial landscape, data science has become a cornerstone of the FinTech and banking industries. It has emerged as the driving force behind informed decision-making, benefiting both customers and the financial industry as a whole.

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Data Science Dojo

FEBRUARY 13, 2025

Data Security & Ethics Understand the challenges of AI governance, ethical AI, and data privacy compliance in an evolving regulatory landscape. Hence, for anyone working in data science, AI, or business intelligence, Big Data & AI World 2025 is an essential event.

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AI AI Big Data Big Data 298

ODSC - Open Data Science

NOVEMBER 29, 2024

Artificial Intelligence (AI) stands at the forefront of transforming data governance strategies, offering innovative solutions that enhance data integrity and security. In this post, let’s understand the growing role of AI in data governance, making it more dynamic, efficient, and secure.

Data Governance 40

Data Governance AI AI Predictive Analytics 40

Data Science Blog

MAY 20, 2024

Continuous Integration and Continuous Delivery (CI/CD) for Data Pipelines: It is a Game-Changer with AnalyticsCreator! The need for efficient and reliable data pipelines is paramount in data science and data engineering. and Kimball, Inmon, 3NF, or any custom data model. Mixed approach of DV 2.0

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Data Pipeline Data Warehouse Azure Data Lakes 262

Analytics Vidhya

NOVEMBER 21, 2022

This article was published as a part of the Data Science Blogathon. Introduction Currently, most businesses and big-scale companies are generating and storing a large amount of data in their data storage. Many companies are there which are completely data-driven.

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insideBIGDATA

OCTOBER 3, 2023

However, the increasing complexity of the data landscape is making it a huge challenge to provide users and applications with fast access required, while ensuring regulatory compliance.

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Data Governance AI AI Big Data 307

Dataconomy

MAY 6, 2022

Data governance is a fundamental concept that must be addressed globally as data resources become increasingly essential in today’s world. However, there are several problems with data governance, including uneven data rights and conflicting interests between the players in the data economy.

Data Governance 239

Data Governance Data Science 239

Analytics Vidhya

JANUARY 16, 2023

This article was published as a part of the Data Science Blogathon. Introduction Artificial intelligence (AI) is rapidly becoming a fundamental part of our daily lives, from self-driving cars to virtual personal assistants. The use of AI […].

Artificial Intelligence 319

Artificial Intelligence Artificial Intelligence AI AI 319

Dataversity

DECEMBER 7, 2021

Robert Seiner and Anthony Algmin faced off – in a virtual sense – at the DATAVERSITY® Enterprise Data World Conference to determine which is more important: Data Governance, Data Leadership, or Data Architecture. The post Data Governance, Data Leadership or Data Architecture: What Matters Most?

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Data Governance Data Quality Business Intelligence Business Intelligence 95

Dataconomy

MARCH 29, 2023

In an era where data is king, the ability to harness and manage it effectively can make or break a business. A comprehensive data governance strategy is the foundation upon which organizations can build trust with their customers, stay compliant with regulations, and drive informed decision-making.

Data Governance 93

Data Governance Data Science 93

The Data Administration Newsletter

DECEMBER 1, 2021

Migrating data to the public cloud offers a wide range of benefits for enterprises; data teams can more easily access their data, write, and test data science models, evaluate new data platforms and test applications, run POCs, and deploy in production.

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Data Governance Cloud Data Data Science 83

Data Science Dojo

JANUARY 31, 2023

Similarly, volatility also means gauging whether a particular data set is historic or not. Usually, data volatility comes under data governance and is assessed by data engineers. Vulnerability Big data is often about consumers. Both Data Mining and Big Data Analysis are major elements of data science.

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Big Data Big Data Data Mining Data Mining 370

Tableau

SEPTEMBER 23, 2021

If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? We’re all trying to use more data to make decisions, but constantly face roadblocks and trust issues related to data governance. . A data governance framework.

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Data Governance Analytics Analytics Tableau 102

Dataversity

MARCH 3, 2021

The post Being Data-Driven Means Embracing Data Quality and Consistency Through Data Governance appeared first on DATAVERSITY. This is a worthy goal but is a little more complex than just putting dashboards […].

Data Quality 94

Data Quality Data Governance Business Intelligence Business Intelligence 94

Tableau

SEPTEMBER 23, 2021

If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? We’re all trying to use more data to make decisions, but constantly face roadblocks and trust issues related to data governance. . A data governance framework.

Data Governance 97

Data Governance Analytics Analytics Tableau 97

Dataconomy

MARCH 29, 2023

In an era where data is king, the ability to harness and manage it effectively can make or break a business. A comprehensive data governance strategy is the foundation upon which organizations can build trust with their customers, stay compliant with regulations, and drive informed decision-making. What is data governance?

Data Governance 70

Data Governance Data Analyst Data Quality Data Silos 70

Dataconomy

MARCH 29, 2023

In an era where data is king, the ability to harness and manage it effectively can make or break a business. A comprehensive data governance strategy is the foundation upon which organizations can build trust with their customers, stay compliant with regulations, and drive informed decision-making. What is data governance?

Data Governance 70

Data Governance Data Analyst Data Quality Data Silos 70

Dataversity

NOVEMBER 22, 2022

The public was less concerned about securing their data assets and was only fascinated by the fact that the interconnected digital world would change their lives forever. The post Data Science and Privacy: Defending Sensitive Data in the Age of Analytics appeared first on DATAVERSITY.

Data Science 98

Data Science Analytics Analytics Big Data 98

Data Science Dojo

SEPTEMBER 6, 2023

Once authenticated, authorization ensures that the individual is allowed access only to the areas they are authorized to enter. Data Governance: Setting the Rules D ata governance takes on the role of a regulatory framework, guiding the responsible management, utilization, and protection of your organization’s most valuable asset—data.

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Data Warehouse Data Governance Data Quality ETL 195

Data Science Dojo

JUNE 5, 2023

Data governance : Establishing robust data governance practices is crucial for ensuring responsible AI. Non-profit organizations should have clear policies for data collection, storage, and usage. These guidelines should address issues such as bias, privacy, transparency, and accountability.

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AI AI Data Governance Data Scientist 332

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. For analysis the way of Business Intelligence this normalized data model can already be used.

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Data Models Data Modeling Business Intelligence Business Intelligence 245

ODSC - Open Data Science

JANUARY 17, 2024

Proper data governance is crucial for long-term success. Common Smart City Data Governance Challenges Smart city data governance is the practice of managing the information generated by smart infrastructure. Insufficient Resources The first data governance challenge cities face is insufficient resources.

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Data Governance Data Silos Data Science Internet of Things 52

Data Science Dojo

FEBRUARY 25, 2025

Giants like OpenAI and Microsoft have also faced numerous lawsuits over data scraping practices (that allegedly caused copyright infringement), raising significant concerns about their approach to data governance and making it increasingly difficult to trust the company with user data.

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IBM Data Science in Practice

JANUARY 2, 2025

Conclusion Creating microsegments represents a significant advancement in data fabric capabilities in CP4D. From detecting subtle trends to optimizing data governance, this solution empowers organizations to harness the full potential of theirdata. With this, businesses can unlock granular insights with minimal effort.

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SQL Data Quality Data Profiling Data Preparation 100

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Can you have proper data management without establishing a formal data governance program?

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Data Governance Data Quality Data Analyst Data Pipeline 52

Alation

DECEMBER 15, 2021

Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information. Data governance requires a system.

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Data Governance Data Quality Analytics Analytics 52

AWS Machine Learning Blog

APRIL 3, 2025

Data governance challenges Maintaining consistent data governance across different systems is crucial but complex. The company aims to integrate additional data sources, including other mission-critical systems, into ODAP. The following diagram shows a basic layout of how the solution works.

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AWS Data Governance Data Silos SQL 81

Alation

JULY 28, 2021

As data science processes continue to become operationalized and embedded within business processes, the importance of governing those processes continues to rise. While governance has been a major focus for many years when it comes to managing data, governance focused on data science processes is still far less mature.

Data Science 52

Data Science Data Governance Analytics Analytics 52

Dataversity

JANUARY 26, 2022

The importance of data has increased multifold as we step into 2022, with an emphasis on active Data Management and Data Governance. Furthermore, thanks to the introduction of new technology and tools, we are now able to automate labor-intensive data and privacy operations.

Data Governance 52

Data Governance Data Quality Data Science 52

Data Science Connect

JULY 22, 2024

Precisely offers data integrity, integration, and enrichment solutions to help businesses ensure accurate, consistent, and contextual data. Their products and services include data quality, location intelligence, data governance, and customer engagement solutions.

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