Precisely

AUGUST 29, 2024

Key Takeaways Data quality ensures your data is accurate, complete, reliable, and up to date – powering AI conclusions that reduce costs and increase revenue and compliance. Data observability continuously monitors data pipelines and alerts you to errors and anomalies. stored: where is it located?

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IBM Journey to AI blog

SEPTEMBER 5, 2024

Everything is data—digital messages, emails, customer information, contracts, presentations, sensor data—virtually anything humans interact with can be converted into data, analyzed for insights or transformed into a product. Managing this level of oversight requires adept handling of large volumes of data.

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Precisely

JANUARY 9, 2024

Data can only deliver business value if it has high levels of data integrity. That starts with good data quality, contextual richness, integration, and sound data governance tools and processes. This article focuses primarily on data quality. How can you assess your data quality?

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Precisely

NOVEMBER 14, 2023

When speaking to organizations about data integrity , and the key role that both data governance and location intelligence play in making more confident business decisions, I keep hearing the following statements: “For any organization, data governance is not just a nice-to-have! “ “Everyone knows that 80% of data contains location information.

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Dataversity

OCTOBER 9, 2024

Despite advancements in tools like ChatGPT and Google’s Gemini, fundamental issues with data governance – such as high costs, poor data quality, and security concerns – continue to hinder progress.

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Dataversity

MARCH 3, 2021

The post Being Data-Driven Means Embracing Data Quality and Consistency Through Data Governance appeared first on DATAVERSITY. They want to improve their decision making, shifting the process to be more quantitative and less based on gut and experience.

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Dataversity

JULY 1, 2024

This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. This month we’re talking about Non-Invasive Data Governance (NIDG).

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Dataversity

SEPTEMBER 4, 2024

National security aside, the […] The post The Data Governance Wake-Up Call From the OpenAI Breach appeared first on DATAVERSITY. The breach, which involved an outsider gaining access to internal messaging systems, left many worried that a national adversary could do the same and potentially weaponize generative AI technologies.

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Pickl AI

JULY 24, 2024

Summary: Data quality is a fundamental aspect of Machine Learning. Poor-quality data leads to biased and unreliable models, while high-quality data enables accurate predictions and insights. What is Data Quality in Machine Learning? Bias in data can result in unfair and discriminatory outcomes.

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DagsHub

AUGUST 23, 2024

As such, the quality of their data can make or break the success of the company. This article will guide you through the concept of a data quality framework, its essential components, and how to implement it effectively within your organization. What is a data quality framework?

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Dataversity

APRIL 22, 2024

So why are many technology leaders attempting to adopt GenAI technologies before ensuring their data quality can be trusted? Reliable and consistent data is the bedrock of a successful AI strategy.

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Precisely

AUGUST 8, 2023

Data governance is rapidly shifting from a leading-edge practice to a must-have framework for today’s enterprises. Although the term has been around for several decades, it is only now emerging as a widespread practice, as organizations experience the pain and compliance challenges associated with ungoverned data.

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Precisely

SEPTEMBER 8, 2023

In the meantime, data quality and overall data integrity suffer from neglect. According to a recent report on data integrity trends from Drexel University’s LeBow College of Business , 41% reported that data governance was a top priority for their data programs.

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Pickl AI

OCTOBER 19, 2023

Data quality plays a significant role in helping organizations strategize their policies that can keep them ahead of the crowd. Hence, companies need to adopt the right strategies that can help them filter the relevant data from the unwanted ones and get accurate and precise output.

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Dataversity

MAY 17, 2024

In today’s data-driven world, organizations face increasing pressure to manage and govern their data assets effectively. Data governance plays a crucial role in ensuring that data is managed responsibly, securely, and in accordance with regulatory requirements.

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The Data Administration Newsletter

SEPTEMBER 19, 2023

Information technology (IT) plays a vital role in data governance by implementing and maintaining strategies to manage, protect, and responsibly utilize data. Through advanced technologies and tools, IT ensures that data is securely stored, backed up, and accessible to authorized personnel.

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Dataversity

JANUARY 24, 2022

Business users want to know where that data lives, understand if people are accessing the right data at the right time, and be assured that the data is of high quality. But they are not always out shopping for Data Quality […].

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phData

OCTOBER 25, 2024

“Quality over Quantity” is a phrase we hear regularly in life, but when it comes to the world of data, we often fail to adhere to this rule. Data Quality Monitoring implements quality checks in operational data processes to ensure that the data meets pre-defined standards and business rules.

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Precisely

MAY 18, 2023

According to IDC , 50% of enterprises in the United States say that using data and intelligence strategically to create competitive differentiation is critical to running a successful digital business. Data governance has emerged as a key success factor for companies aiming to innovate, improve efficiency, and drive competitive advantage.

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Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Why is your data governance strategy failing?

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Dataversity

SEPTEMBER 16, 2024

Public sector agencies increasingly see artificial intelligence as a way to reshape their operations and services, but first, they must have confidence in their data. Accurate information is crucial to delivering essential services, while poor data quality can have far-reaching and sometimes catastrophic consequences.

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Dataversity

JUNE 21, 2024

Data governance is crucial for businesses aiming to maximize the value of their data, yet several common issues can significantly hinder its effectiveness. Let’s dive straight into these challenges and outline actionable strategies for overcoming them.

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Pickl AI

OCTOBER 10, 2023

In this blog, we are going to unfold the two key aspects of data management that is Data Observability and Data Quality. Data is the lifeblood of the digital age. Today, every organization tries to explore the significant aspects of data and its applications.

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Dataversity

JANUARY 8, 2024

However, the sheer volume and complexity of data generated by an ever-growing network of connected devices presents unprecedented challenges. This article, which is infused with insights from leading experts, aims to demystify […] The post IoT Data Governance: Taming the Deluge in Connected Environments appeared first on DATAVERSITY.

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Dataversity

JULY 14, 2023

Data Governance is a strategic approach to managing, protecting, and using a firm’s data assets. It encompasses processes, policies, strategies, and tools that govern how a firm collects, stores, accesses, and leverages data.

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Precisely

SEPTEMBER 6, 2023

However, fewer than half of survey respondents rate their trust in data as “high” or “very high.” ” Poor data quality impedes the success of data programs, hampers data integration efforts, limits data integrity causing big data governance challenges.

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Dataversity

NOVEMBER 6, 2023

This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. This month we’re talking about Data Quality (DQ). Read last month’s column here.)

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Dataversity

OCTOBER 25, 2021

It’s common for enterprises to run into challenges such as lack of data visibility, problems with data security, and low Data Quality. But despite the dangers of poor data ethics and management, many enterprises are failing to take the steps they need to ensure quality Data Governance.

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Dataversity

SEPTEMBER 11, 2023

This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. This month, we’re talking about the interplay between Data Governance and artificial intelligence (AI). Read last month’s column here.)

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IBM Journey to AI blog

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

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Precisely

FEBRUARY 12, 2024

Read our eBook Data Governance 101 Read this eBook to learn about the challenges associated with data governance and how to operationalize solutions. Read Common Data Challenges in Telecommunications As natural innovators, telecommunications firms have been early adopters of advanced analytics.

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Dataversity

AUGUST 12, 2024

We live in a data-driven culture, which means that as a business leader, you probably have more data than you know what to do with. To gain control over your data, it is essential to implement a data governance strategy that considers the business needs of every level, from basement to boardroom.

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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.

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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.

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IBM Journey to AI blog

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. Data quality Data quality is essentially the measure of data integrity.

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Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

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Dataversity

JULY 29, 2024

Implementing a successful data governance program is essential for any organization that wants to manage its data effectively. In the pursuit of effective data management, many organizations overlook the practical realities and challenges that can significantly impact their success.

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