Dataversity

FEBRUARY 9, 2022

“Data Governance” is such an interesting term. As data started becoming more critical to business in the last few years, this idea was introduced to define the business processes necessary to comply with regulatory requirements.

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Data Governance Data Classification Data Quality 52

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. Data Stewardship : Data stewards can utilize dynamic views for metadata enrichment, profiling, and data governance activities.

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SQL Data Quality Data Governance Data Scientist 130

phData

OCTOBER 23, 2023

We’ll also discover how to govern your organization’s and your customers’ sensitive and private information on a large scale. So, let’s mask the variant data itself and see if all other data elements get marked automatically or not.

Data Governance 52

Data Governance Python Data Classification Azure 52

Alation

AUGUST 11, 2021

The three of us talked migration strategy and the best way to move to the Snowflake Data Cloud. As Vice President of Data Governance at TMIC, Anthony has robust experience leading cloud migration as part of a larger data strategy. Creating an environment better suited for data governance. The Plan in Action.

Data Governance 52

Data Governance Data Warehouse Data Classification Data Quality 52

Alation

MAY 16, 2023

Many organizations use data visualization to identify patterns or consumer trends and communicate findings to stakeholders better. Data Integration A data pipeline can be used to gather data from various disparate sources in one data store. Checking the data quality before and after the cleansing steps is critical.

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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.

Data Governance 52

Data Governance Data Silos Predictive Analytics Data Wrangling 52

Alation

JULY 13, 2021

Complex data management is on the rise. The Five Pain Points of Moving Data to the Cloud. She has written hundreds of articles on data mining and information technology. Dr. Halper attributes this increase of complex data management to the growing importance of analytics. Fern Halper, Ph.D.

Cloud Data 52

Cloud Data Data Governance Data Mining Data Mining 52

IBM Journey to AI blog

OCTOBER 16, 2023

Digital sovereignty encompasses three main streams: Operational sovereignty refers to transparency and control of provider’s operational processes and eliminates bad actors or processes which will malign access and quality of valuable information.

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Data Governance Cloud Computing Data Classification Cloud Data 93

IBM Journey to AI blog

MAY 28, 2024

A data protection strategy is a set of measures and processes to safeguard an organization’s sensitive information from data loss and corruption. Its principles are the same as those of data protection—to protect data and support data availability. Encryption is critical to data security.

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Data Classification Data Governance Algorithm 96

phData

JANUARY 15, 2024

PCI-DSS (Payment Card Industry Data Security Standard): Ensuring your credit card information is securely managed. HITRUST: Meeting stringent standards for safeguarding healthcare data. ISO/IEC 27001, ISO 27017:2015, and ISO 27018:2019: Adhering to international standards for information security.

Data Governance 52

Data Governance Database Data Warehouse Cloud Computing 52

Alation

MAY 16, 2023

Many organizations use data visualization to identify patterns or consumer trends and communicate findings to stakeholders better. Data Integration A data pipeline can be used to gather data from various disparate sources in one data store. Checking the data quality before and after the cleansing steps is critical.

Data Pipeline 40

Data Pipeline Data Governance Data Lakes Data Warehouse 40

IBM Journey to AI blog

JULY 7, 2023

Data protection and data privacy Data protection , defined as protecting important information from corruption, damage or loss, is critical because data breaches resulting from cyberattacks can include personally identifiable information (PII), health information, financial information, intellectual property and other personal data.

Data Governance 40

Data Governance Data Lakes Database Cloud Computing 40

IBM Journey to AI blog

JULY 3, 2024

Multiple data applications and formats make it harder for organizations to access, govern, manage and use all their data for AI effectively. Scaling data and AI with technology, people and processes Enabling data as a differentiator for AI requires a balance of technology, people and processes.

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Alation

MARCH 1, 2022

Some of the novel names we have heard from our creative customers are ‘Captain Self Service’, a hero to promote contribution to the data catalog and R.I.D.E – Regeneron Information and Data Explorer , the name of the Regeron data catalog. Data classification via tags is a simple yet powerful capability.

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Data Warehouse Data Lakes Cloud Data Database 52

Alation

FEBRUARY 10, 2022

Data classification is necessary for leveraging data effectively and efficiently. Effective data classification helps mitigate risk, maintain governance and compliance, improve efficiencies, and help businesses understand and better use data. Manual Data Classification.

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Data Classification Data Governance Data Analyst Analytics 52

Alation

AUGUST 26, 2021

By answering key questions around the who, what, where and when of a given data asset, DI paints a picture of why folks might use it, educating on that asset’s reliability and relative value. Insights into how an asset’s been used in the past inform how it might be intelligently applied in the future. Why keep data at all?

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Data Governance ML ML Artificial Intelligence 64

phData

JUNE 20, 2024

The business has many needs, but none are as impactful as data. When people are provided the data necessary to answer business questions, they can make better, more data-informed decisions. This is building a data culture – people who value and trust data to make informed decisions.

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