Precisely

NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. AI drives the demand for data integrity.

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Snowflake

JANUARY 15, 2024

Leading companies around the world rely on Informatica data management solutions to manage and integrate data across various platforms from virtually any data source and on any cloud. Now, Informatica customers in the Snowflake ecosystem have an even easier way to integrate data to and from the Snowflake Data Cloud.

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JULY 12, 2024

When companies work with data that is untrustworthy for any reason, it can result in incorrect insights, skewed analysis, and reckless recommendations to become data integrity vs data quality. Two terms can be used to describe the condition of data: data integrity and data quality.

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JANUARY 17, 2023

Technology helped to bridge the gap, as AI, machine learning, and data analytics drove smarter decisions, and automation paved the way for greater efficiency. Data integrity trends for 2023 promise to be an important year for all aspects of data management. Read The Corinium report to learn more.

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SEPTEMBER 19, 2024

Key Takeaways: Data integrity is essential for AI success and reliability – helping you prevent harmful biases and inaccuracies in AI models. Robust data governance for AI ensures data privacy, compliance, and ethical AI use. Proactive data quality measures are critical, especially in AI applications.

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Striim

MARCH 4, 2025

These incidents serve as a stark reminder that legacy data governance systems, built for a bygone era, are struggling to fend off modern cyber threats. They react too slowly, too rigidly, and cant keep pace with the dynamic, sophisticated attacks occurring today, leaving hackable data exposed.

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Precisely

JANUARY 16, 2024

As the role of data and data-driven decision-making increases and as the overall volume and velocity of available data grows, data governance is evolving to meet a changing set of business requirements. What are the biggest trends in data governance for 2024? What’s the quality?”

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The Modern Data Company

JANUARY 22, 2024

The Modern Data Company has been given an honorable mention in Gartner’s 2023 Magic Quadrant for Data Integration. Data engineering excellence Modern offers robust solutions for building, managing, and operationalizing data pipelines.

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SEPTEMBER 18, 2024

This means it’s more important than ever to make data-driven decisions, cut costs, and improve efficiency. Get your copy of the full report for all the strategic insights you need to build a winning data strategy in 2025. What are the primary data challenges blocking the path to AI success? You’re not alone.

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Data Engineering Podcast

NOVEMBER 30, 2020

Summary The first stage of every good pipeline is to perform data integration. With the increasing pace of change and the need for up to date analytics the need to integrate that data in near real time is growing. Immuta is an automated data governance solution that enables safe and easy data analytics in the cloud.

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The Modern Data Company

JANUARY 22, 2024

The Modern Data Company has been given an honorable mention in Gartner’s 2023 Magic Quadrant for Data Integration. This encompasses the establishment of data dashboards, execution of comprehensive data quality management, and fulfillment of governance functions down to the granular level.

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JANUARY 9, 2023

Requirements for data to be more easily accessible, at even faster rates, will continue to grow in 2023, and organizations will need to adapt their data quality practices to keep pace with the demand for new modern use cases. The post Top Data Integrity Trends Fueling Confident Business Decisions in 2023 appeared first on Precisely.

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NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. AI drives the demand for data integrity.

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DECEMBER 8, 2023

In the context of this change, business leaders recognize the pressing need for data-driven decision-making. Without data integrity, however, initiatives to enable data-driven decisions will fail to meet expectations. What is data integrity ? What is Data Governance?

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Data Engineering Podcast

OCTOBER 5, 2020

Summary Analytical workloads require a well engineered and well maintained data integration process to ensure that your information is reliable and up to date. Building a real-time pipeline for your data lakes and data warehouses is a non-trivial effort, requiring a substantial investment of time and energy.

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Snowflake

NOVEMBER 19, 2024

Spark clusters needed manual maintenance to avoid waste and took 10-15 minutes to spin up, while the managed Spark platform outside Snowflake raised data governance concerns, impacting data integrity and security.

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OCTOBER 17, 2024

This year, our annual Data Integrity Summit, Trust ’24, was better than ever – and a big part of what made the event so exciting was our first-ever Data Integrity Awards ! What Can Your Business Accomplish with Data Integrity? Watch, learn, and get ready for better decisions grounded in trusted data.

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FEBRUARY 9, 2024

In 2023, organizations dealt with more data than ever and witnessed a surge in demand for artificial intelligence use cases – particularly driven by generative AI. They relied on their data as a critical factor to guide their businesses to agility and success.

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MARCH 18, 2025

If attendees learn from the shared experiences offered by Gartner and many of the customer speakers and practitioners, theyll be better equipped to drive greater value from their organizations data strategies. Source: 2024 Gartner AI Mandates for the Enterprise Survey) Build and scale your data governance program.

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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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MAY 23, 2024

Key takeaways: Quickly adapt to market changes by easily adding new data sources and targets, ensuring your IT landscape evolves at the pace of your business. Gain a competitive edge with real-time data integration, crucial for time-sensitive decisions and actions in fraud detection and customer interactions.

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Wayne Yaddow

MARCH 28, 2025

First: It is critical to set up a thorough data inventory and assessment procedure. Organizations must do a comprehensive inventory of their current data repositories, recording the data sources, kind, structure, and quality before starting data integration.

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phData: Data Engineering

NOVEMBER 1, 2024

In an effort to better understand where data governance is heading, we spoke with top executives from IT, healthcare, and finance to hear their thoughts on the biggest trends, key challenges, and what insights they would recommend. Get the Trendbook What is the Impact of Data Governance on GenAI?

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MARCH 7, 2024

However, that is rarely the case, falling far short of true data integrity that delivers accuracy, consistency, and context. As part of a holistic data integrity approach, companies implement data governance programs to build trust in the data.

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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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Snowflake

JANUARY 23, 2023

Marketing data integration is the process of combining marketing data from different sources to create a unified and consistent view. If you’re running marketing campaigns on multiple platforms—Facebook, Instagram, TikTok, email—you need marketing data integration. What Problems does Data Integration Solve?

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Knowledge Hut

APRIL 20, 2023

Data governance refers to the set of policies, procedures, mix of people and standards that organisations put in place to manage their data assets. It involves establishing a framework for data management that ensures data quality, privacy, security, and compliance with regulatory requirements.

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MARCH 13, 2023

Despite that understanding, many organizations lack a clear framework for organizing, managing, and governing their valuable data assets. In many cases, that realization prompts executive leaders to create a data governance program within their company. In many organizations, that simply isn’t the case.

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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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SEPTEMBER 15, 2023

Data governance is no trivial undertaking. When executed correctly, data governance transitions businesses from guesswork to data-informed strategies. For those who follow the right roadmap on their data governance journey, the payoff can be enormous.

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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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Striim

AUGUST 31, 2023

Showing how Kappa unifies batch and streaming pipelines The development of Kappa architecture has revolutionized data processing by allowing users to quickly and cost-effectively reduce data integration costs. Stream processors, storage layers, message brokers, and databases make up the basic components of this architecture.

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AUGUST 29, 2024

Data observability continuously monitors data pipelines and alerts you to errors and anomalies. Data governance ensures AI models have access to all necessary information and that the data is used responsibly in compliance with privacy, security, and other relevant policies. stored: where is it located?

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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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MAY 31, 2023

To innovate, compete, and grow in the current macroeconomic environment, enterprises must approach data strategically. A sound data strategy doesn’t happen by accident; it’s built on a foundation of data integrity , including accuracy, consistency, and rich context. Many organizations still struggle with data integrity.

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MAY 13, 2024

Key Takeaways: Data integration is vital for real-time data delivery across diverse cloud models and applications, and for leveraging technologies like generative AI. The right data integration solution helps you streamline operations, enhance data quality, reduce costs, and make better data-driven decisions.

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MAY 23, 2024

Key takeaways: Quickly adapt to market changes by easily adding new data sources and targets, ensuring your IT landscape evolves at the pace of your business. Gain a competitive edge with real-time data integration, crucial for time-sensitive decisions and actions in fraud detection and customer interactions.

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