Precisely

FEBRUARY 20, 2025

Follow five essential steps for success in making your data AI ready with data integration. Define clear goals, assess your data landscape, choose the right tools, ensure data quality and governance, and continuously optimize your integration processes. Thats where data integration comes in.

Data Silos 69

Data Silos AI AI Data Quality 69

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.

Data Quality 52

Data Quality Machine Learning Machine Learning Clean Data 52

AWS Machine Learning Blog

APRIL 3, 2025

Data is one of the most critical assets of many organizations. Theyre constantly seeking ways to use their vast amounts of information to gain competitive advantages. This enables OMRON to extract meaningful patterns and trends from its vast data repositories, supporting more informed decision-making at all levels of the organization.

AWS 80

AWS Data Governance Data Silos SQL 80

IBM Data Science in Practice

APRIL 26, 2024

In this blog, we explore how the introduction of SQL Asset Type enhances the metadata enrichment process within the IBM Knowledge Catalog , enhancing data governance and consumption. Understanding Data Fabric and IBM Knowledge Catalog A data fabric is an architectural blueprint that helps transcending traditional data silos and complexities.

SQL 130

SQL Data Quality Data Governance Data Scientist 130

Alation

DECEMBER 7, 2021

Alation and Soda are excited to announce a new partnership, which will bring powerful data-quality capabilities into the data catalog. Soda’s data observability platform empowers data teams to discover and collaboratively resolve data issues quickly. Does the quality of this dataset meet user expectations?

Data Quality 52

Data Quality Data Pipeline Data Silos Data Governance 52

Tableau

OCTOBER 7, 2024

Spencer Czapiewski October 7, 2024 - 9:59pm Madeline Lee Product Manager, Technology Partners Enabling teams to make trusted, data-driven decisions has become increasingly complex due to the proliferation of data, technologies, and tools.

Tableau 138

Tableau Data Quality Analytics Analytics 138

ODSC - Open Data Science

APRIL 28, 2023

As critical data flows across an organization from various business applications, data silos become a big issue. The data silos, missing data, and errors make data management tedious and time-consuming, and they’re barriers to ensuring the accuracy and consistency of your data before it is usable by AI/ML.

ML 98

ML ML Data Silos Data Quality 98

IBM Journey to AI blog

MAY 9, 2024

Understanding data governance in healthcare The need for a strong data governance framework is undeniable in any highly-regulated industry, but the healthcare industry is unique because it collects and processes massive amounts of personal data to make informed decisions about patient care. The consequence?

Data Governance 85

Data Governance Data Silos Data Quality Predictive Analytics 85

IBM Data Science in Practice

NOVEMBER 28, 2022

Insights from data gathered across business units improve business outcomes, but having heterogeneous data from disparate applications and storages makes it difficult for organizations to paint a big picture. How can organizations get a holistic view of data when it’s distributed across data silos?

Data Pipeline 130

Data Pipeline Data Quality Data Preparation Data Governance 130

Precisely

JANUARY 17, 2023

Data integrity trends for 2023, has agility toping the list of success factors for most firms, as business leaders focus on rapid time to value and an emphasis on responding quickly to emerging opportunities and threats. With these goals in mind, access to accurate, consistent, and contextual information is critical.

Data Quality 97

Data Quality Machine Learning Machine Learning Data Silos 97

Dataconomy

APRIL 6, 2023

From lack of data literacy to data silos and security concerns, there are many obstacles that organizations need to overcome in order to successfully democratize their data. Why is data democratization important? Data democratization is important for a number of reasons. But the rewards are worth it.

Data Governance 118

Data Governance Data Silos Data Analysis Data Analysis 118

Dataversity

AUGUST 4, 2023

Generating actionable insights across growing data volumes and disconnected data silos is becoming increasingly challenging for organizations. Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360.

Data Silos 98

Data Silos Data Governance Data Quality 98

Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Data Intelligence emerges as the indispensable force steering businesses towards informed and strategic decision-making. These insights?

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Precisely

NOVEMBER 13, 2024

Challenges around data literacy, readiness, and risk exposure need to be addressed – otherwise they can hinder MDM’s success Businesses that excel with MDM and data integrity can trust their data to inform high-velocity decisions, and remain compliant with emerging regulations. Today, you have more data than ever.

Data Silos 64

Data Silos Data Observability Data Governance Data Quality 64

Alation

APRIL 13, 2021

Much of his work focuses on democratising data and breaking down data silos to drive better business outcomes. In this blog, Chris shows how Snowflake and Alation together accelerate data culture. He shows how Texas Mutual Insurance Company has embraced data governance to build trust in data.

Data Governance 98

Data Governance Data Silos Data Quality 98

Alation

OCTOBER 5, 2021

It’s on Data Governance Leaders to identify the issues with the business process that causes users to act in these ways. Inconsistencies in expectations can create enormous negative issues regarding data quality and governance. Roadblock #3: Silos Breed Misunderstanding. Picking the Right Data Governance Tools.

Data Governance 96

Data Governance Data Quality Data Silos Analytics 96

Tableau

APRIL 18, 2022

What if the problem isn’t in the volume of data, but rather where it is located—and how hard it is to gather? Nine out of 10 IT leaders report that these disconnects, or data silos, create significant business challenges.* Analytics data catalog. Data quality and lineage. Metadata management. Orchestration.

Tableau 102

Tableau Data Quality Analytics Analytics 102

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.

Data Governance 98

Data Governance Data Quality Data Silos Cloud Data 98

Tableau

APRIL 18, 2022

What if the problem isn’t in the volume of data, but rather where it is located—and how hard it is to gather? Nine out of 10 IT leaders report that these disconnects, or data silos, create significant business challenges.* Analytics data catalog. Data quality and lineage. Metadata management. Orchestration.

Tableau 98

Tableau Data Quality Analytics Analytics 98

Dataversity

DECEMBER 24, 2020

.” The series covers some of the most prominent questions in Data Management such as Master Data, the difference between Master Data and MDM, “truth” versus “meaning” in data, Data Quality, and so much […].

Data Quality 97

Data Quality Data Silos Data Governance 97

Precisely

SEPTEMBER 8, 2023

For data teams, that often leads to a burgeoning inbox of new projects, as business users throughout the organization strive to discover new insights and find new ways of creating value for the business. In the meantime, data quality and overall data integrity suffer from neglect.

Data Governance 52

Data Governance Data Quality Data Silos Big Data 52

Dataversity

FEBRUARY 6, 2023

Organizations seeking responsive and sustainable solutions to their growing data challenges increasingly lean on architectural approaches such as data mesh to deliver information quickly and efficiently.

Data Silos 52

Data Silos Data Quality Cloud Data 52

Precisely

NOVEMBER 11, 2024

This involves integrating customer data across various channels – like your CRM systems, data warehouses, and more – so that the most relevant and up-to-date information is used consistently in your customer interactions. Focus on high-quality data. Data quality is essential for personalization efforts.

Data Silos 52

Data Silos Data Warehouse Artificial Intelligence Artificial Intelligence 52

Dataconomy

APRIL 6, 2023

From lack of data literacy to data silos and security concerns, there are many obstacles that organizations need to overcome in order to successfully democratize their data. Why is data democratization important? Data democratization is important for a number of reasons. But the rewards are worth it.

Data Governance 70

Data Governance Data Silos Data Analysis Data Analysis 70

Precisely

NOVEMBER 11, 2024

This involves integrating customer data across various channels – like your CRM systems, data warehouses, and more – so that the most relevant and up-to-date information is used consistently in your customer interactions. Focus on high-quality data. Data quality is essential for personalization efforts.

Data Silos 52

Data Silos Data Warehouse Artificial Intelligence Artificial Intelligence 52

Precisely

FEBRUARY 9, 2024

They’re where the world’s transactional data originates – and because that essential data can’t remain siloed, organizations are undertaking modernization initiatives to provide access to mainframe data in the cloud. That approach assumes that good data quality will be self-sustaining.

Data Quality 69

Data Quality DataOps Data Silos Artificial Intelligence 69

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.

Data Governance 75

Data Governance Data Quality DataOps Artificial Intelligence 75

Precisely

JANUARY 23, 2024

The report concluded that there are reliable, data-driven reasons why companies should invest in building or maturing their data governance programs. The topmost value-generating benefit, according to respondents with mature programs, is the ability of such initiatives to strengthen overall data quality.

Data Governance 69

Data Governance Data Quality Analytics Analytics 69

Precisely

AUGUST 8, 2024

But the truth is, it’s harder than ever for organizations to maintain that level of data quality. As your business applications grow, so do fragmented data silos that hold you back. How confident are you that your data management practices are up to the task of supporting your evolving objectives?

Data Silos 52

Data Silos Data Quality 52

Precisely

SEPTEMBER 12, 2023

As a proud member of the Connect with Confluent program , we help organizations going through digital transformation and IT infrastructure modernization break down data silos and power their streaming data pipelines with trusted data. Let’s cover some additional information to know before attending.

Data Silos 52

Data Silos Apache Kafka Data Pipeline Data Quality 52

Dataversity

AUGUST 7, 2023

In the era of digital transformation, data has become the new oil. Businesses increasingly rely on real-time data to make informed decisions, improve customer experiences, and gain a competitive edge. However, managing and handling real-time data can be challenging due to its volume, velocity, and variety.

Data Silos 98

Data Silos Data Quality Cloud Data Analytics 98

Precisely

JUNE 2, 2023

As companies strive to leverage AI/ML, location intelligence, and cloud analytics into their portfolio of tools, siloed mainframe data often stands in the way of forward momentum. Insufficient skills, limited budgets, and poor data quality also present significant challenges. To learn more, read our ebook.

Data Silos 52

Data Silos ETL Data Quality Data Pipeline 52

Dataversity

APRIL 23, 2021

Within the Data Management industry, it’s becoming clear that the old model of rounding up massive amounts of data, dumping it into a data lake, and building an API to extract needed information isn’t working. It’s outdated, it’s clunky, and it was built for a different era. […].

Database 90

Database Data Lakes Data Silos Data Governance 90

Precisely

OCTOBER 12, 2023

Six Principles of Proactive Data Programs Over decades of working with customers in financial services, our team at Precisely has identified six key pillars of proactive data programs. Monitoring and improving business quality rules and technical quality rules to define what “good” looks like. Privacy requirements.

Data Quality 64

Data Quality Data Governance ML ML 64

Precisely

MARCH 4, 2024

Let’s explore how to harness the full potential of AI technologies by making your data AI-ready. The Risks of Rushing Without Readiness The power of AI isn’t just in its ability to process information at an unprecedented scale but in doing so with accuracy and integrity that you can rely on.

AI 72

AI AI Data Quality Artificial Intelligence 72

Precisely

JANUARY 25, 2023

Data Integrity checks and best practices support data management as both strategic and tactical processes that enable companies to improve compliance, reduce costs, transform their customer relationships, and stay on the leading edge of innovation. This post examines the practical implications of poor data integrity.

Data Quality 52

Data Quality Machine Learning Machine Learning Data Silos 52

Alation

APRIL 12, 2022

Early CDOs largely sought to ensure compliance with regulations around financial data, taking a defensive posture to guard company and customer information. Two decades on, the role has expanded to include responsibility for analytics, and even data monetization. Data governance also extends across that life cycle.

Data Quality 52

Data Quality Data Governance Data Silos Analytics 52