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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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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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. Let’s break […].

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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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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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Alation

SEPTEMBER 9, 2021

Internal and external auditors work with many different systems to ensure this data is protected accordingly. This is where data governance comes in: A robust program allows banks and financial institutions to use this data to build customer trust and still meet compliance mandates. What is Data Governance in Banking?

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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. It enables organizations to seamlessly access and utilize data assets irrespective of their location or format.

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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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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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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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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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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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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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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.

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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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Tableau

OCTOBER 14, 2021

IT faces hurdles in equipping people with the necessary insights to solve strategic problems quickly and act in their customers’ best interests; likewise, business units can struggle to find the right data when it’s needed most. Data management processes are not integrated into workflows, making data and analytics more challenging to scale.

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Alation

DECEMBER 9, 2021

Then, we’ll dive into the strategies that form a successful and efficient cloud transformation strategy, including aligning on business goals, establishing analytics for monitoring and optimization, and leveraging a robust data governance solution. Leverage a Data Governance Solution. What is Cloud Transformation?

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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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Tableau

OCTOBER 14, 2021

IT faces hurdles in equipping people with the necessary insights to solve strategic problems quickly and act in their customers’ best interests; likewise, business units can struggle to find the right data when it’s needed most. Data management processes are not integrated into workflows, making data and analytics more challenging to scale.

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IBM Journey to AI blog

OCTOBER 30, 2023

Modernizing data warehouse with IBM watsonx.data Modernizing a data warehouse with IBM watsonx.data on AWS offers businesses a transformative approach to managing data across various sources and formats. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability.

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Precisely

JANUARY 17, 2023

In reality, data quality is an ongoing discipline that often begins with data governance (but certainly should not end there). The one-off approach tends to deliver short-term improvements, followed by medium-term decline and long-term erosion of confidence.

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Alation

DECEMBER 7, 2021

With this integration, organizations can fully harness the power of their metadata to maintain pristine data pipelines and serve high quality data to a broader range of users. One major obstacle presented to data quality is data silos , as they obstruct transparency and make collaboration tough. Unified Teams.

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IBM Journey to AI blog

JANUARY 5, 2023

Meaning, data architecture is a foundational element of your business strategy for higher data quality. Perform data quality monitoring based on pre-configured rules. Taking an inventory of existing data assets and mapping current data flows.

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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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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

OCTOBER 25, 2023

We exist in a diversified era of data tools up and down the stack – from storage to algorithm testing to stunning business insights.

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IBM Journey to AI blog

APRIL 15, 2024

Organizations gain the ability to effortlessly modify and scale their data in response to shifting business demands, leading to greater agility and adaptability. A data virtualization platform breaks down data silos by using data virtualization.

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Dataversity

FEBRUARY 13, 2023

For growth-minded organizations, the ability to effectively respond to market conditions, competitive pressures, and customer expectations is dependent on one key asset: data. But having just massive troves of data isn’t enough. The key to being truly data-driven is having access to accurate, complete, and reliable data.

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phData

FEBRUARY 14, 2023

Insurance companies often face challenges with data silos and inconsistencies among their legacy systems. To address these issues, they need a centralized and integrated data platform that serves as a single source of truth, preferably with strong data governance capabilities.

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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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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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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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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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phData

APRIL 18, 2023

This is due to a fragmented ecosystem of data silos, a lack of real-time fraud detection capabilities, and manual or delayed customer analytics, which results in many false positives. Snowflake Marketplace offers data from leading industry providers such as Axiom, S&P Global, and FactSet.

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Dataversity

DECEMBER 24, 2020

The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” Click to learn more about author Scott Taylor.

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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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