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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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?

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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. What is data governance?

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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.

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IBM Journey to AI blog

JANUARY 25, 2023

In our last blog , we introduced Data Governance: what it is and why it is so important. In this blog, we will explore the challenges that organizations face as they start their governance journey. Organizations have long struggled with data management and understanding data in a complex and ever-growing data landscape.

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IBM Journey to AI blog

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

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Dataversity

FEBRUARY 13, 2023

The key to being truly data-driven is having access to accurate, complete, and reliable data. In fact, Gartner recently found that organizations believe […] The post How to Assess Data Quality Readiness for Modern Data Pipelines appeared first on DATAVERSITY.

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Pickl AI

APRIL 14, 2023

In this blog, we are going to discuss more on What are Data platforms & Data Governance. Key Highlights As our dependency on data increases, so does the need to have defined governance policies also rises. Here comes the role of Data Governance. Thus reducing the risk and misuse of data.

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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?

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Dataversity

JANUARY 21, 2022

This is especially true when it comes to Data Governance. According to TechTarget, Data Governance is the process of managing the availability, usability, integrity, and security of the data in enterprise systems, based on internal data standards and policies.

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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.

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Dataversity

NOVEMBER 1, 2021

Whether through acquisition or organic growth, the amount of enterprise data coming into the organization can feel exponential as the business hires more people, opens new locations, and serves new customers. The post Building a Grassroots Data Management and Data Governance Program appeared first on DATAVERSITY.

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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?

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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.

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Precisely

JUNE 26, 2023

Those who have already made progress toward that end have used advanced analytics tools that work outside of their application-based data silos. Successful organizations also developed intentional strategies for improving and maintaining data quality at scale using automated tools. The biggest surprise?

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Precisely

JANUARY 17, 2023

As they do so, access to traditional and modern data sources is required. Poor data quality and information silos tend to emerge as early challenges. Customer data quality, for example, tends to erode very quickly as consumers experience various life changes.

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Alation

MAY 31, 2023

The state of data governance is evolving as organizations recognize the significance of managing and protecting their data. With stricter regulations and greater demand for data-driven insights, effective data governance frameworks are critical. What is a data architect?

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Pickl AI

DECEMBER 4, 2023

Exploring technologies like Data visualization tools and predictive modeling becomes our compass in this intricate landscape. Data governance and security Like a fortress protecting its treasures, data governance, and security form the stronghold of practical Data Intelligence.

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Heartbeat

DECEMBER 7, 2023

What are the new data governance trends, “Data Fabric” and “Data Mesh”? I decided to write a series of blogs on current topics: the elements of data governance that I have been thinking about, reading, and following for a while. Advantages: Consistency ensures trust in data governance.

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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 […].

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Precisely

FEBRUARY 2, 2023

This requires access to data from across business systems when they need it. Data silos and slow batch delivery of data will not do. Stale data and inconsistencies can distort the perception of what is really happening in the business leading to uncertainty and delay.

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Dataversity

OCTOBER 22, 2021

.” 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 more. […].

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Alation

APRIL 27, 2023

It’s a subject that’s giving many of us from the data warehouse generation a serious case of agita. Concerns about an unmanageable explosion of data silos , inconsistent data quality , and multiple versions of universal data that should be common to all domains, are justified.

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Alation

APRIL 27, 2023

It’s a subject that’s giving many of us from the data warehouse generation a serious case of agita. Concerns about an unmanageable explosion of data silos , inconsistent data quality , and multiple versions of universal data that should be common to all domains, are justified.

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Dataversity

AUGUST 5, 2021

According to Gartner, data fabric is an architecture and set of data services that provides consistent functionality across a variety of environments, from on-premises to the cloud. Data fabric simplifies and integrates on-premises and cloud Data Management by accelerating digital transformation.

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Alation

MARCH 21, 2023

While this industry has used data and analytics for a long time, many large travel organizations still struggle with data silos , which prevent them from gaining the most value from their data. What is big data in the travel and tourism industry? What are common data challenges for the travel industry?

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phData

SEPTEMBER 20, 2023

A data mesh is a decentralized approach to data architecture that’s been gaining traction as a solution to the challenges posed by large and complex data ecosystems. It’s all about breaking down data silos, empowering domain teams to take ownership of their data, and fostering a culture of data collaboration.

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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. The post Why Graph Databases Are an Essential Choice for Master Data Management appeared first on DATAVERSITY.

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Dataversity

AUGUST 18, 2022

When the United States and the European Commission together announced a new Trans-Atlantic Data Privacy Framework earlier this year, the news didn’t raise too many eyebrows.

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IBM Journey to AI blog

JANUARY 17, 2023

IBM Cloud Pak for Data Express solutions provide new clients with affordable and high impact capabilities to expeditiously explore and validate the path to become a data-driven enterprise. IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture.

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Dataversity

APRIL 25, 2022

Data collection, while crucial to the overall functionality and health of a business, does not automatically lead to success. If data processes are not at peak performance and efficiency, businesses are just collecting massive stores of data for no reason. Effective use […].

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Dataversity

MARCH 28, 2022

Businesses today collect and store an astonishing amount of data. According to estimates from IDC, 163 zettabytes of data will have been created worldwide by 2025. However, this data is not always useful to business leaders until it is organized to be of higher quality and reliability.

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Dataversity

AUGUST 26, 2022

Businesses that realize the value of their data and make the effort to utilize it to its greatest potential are quickly outcompeting those that do not. But like any complex system, the architectures that utilize big data must be carefully managed and supported to produce optimal outcomes.

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Dataversity

FEBRUARY 11, 2022

As organizations enter a new year, leaders across industries are increasingly collecting more data to drive innovative growth strategies. Yet to move forward effectively, these organizations need greater context around their data to make accurate and streamlined decisions.

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Dataversity

FEBRUARY 22, 2021

Click to learn more about author Emily Washington. Forty-two percent of the U.S. workforce is working from home full-time, according to the Stanford Institute for Economic Policy Research — almost twice as many employees as this time last year.

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Pickl AI

NOVEMBER 15, 2023

This centralization streamlines data access, facilitating more efficient analysis and reducing the challenges associated with siloed information. With all data in one place, businesses can break down data silos and gain holistic insights.

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Alation

MARCH 28, 2023

These cover managing and protecting cloud data, migrating it securely to the cloud, and harnessing automation and technology for optimised data management. Central to this is a uniform technology architecture, where individuals can access and interpret data for organisational benefit.

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