Astera

JUNE 14, 2024

The way that companies govern data has evolved over the years. Previously, data governance processes focused on rigid procedures and strict controls over data assets. Active data governance is essential to ensure quality and accessibility when managing large volumes of data.

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Dataversity

SEPTEMBER 10, 2024

However, this approach has a critical oversight: The assumption that […] The post The Role of Data Security in Protecting Sensitive Information Across Verticals appeared first on DATAVERSITY. Companies increasingly know the need to protect their sensitive information and continue investing heavily in cybersecurity measures.

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Dataversity

DECEMBER 11, 2020

Looking within the lenses of Data Management, data security, and privacy, the same holds true. The internet is awash with data that is […]. The post Why Data Privacy and Data Governance Will Be Even More Mission-Critical in 2021 appeared first on DATAVERSITY.

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Astera

APRIL 18, 2024

A strategic approach to data management is needed to meet these demands — particularly a greater focus on high data quality and robust governance to guarantee accuracy, security, and compliance. It operates under a well-structured governance framework, ensuring accountability and consistency in data management.

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Dataversity

MAY 19, 2023

These same organizations want to protect consumer and partner data, to preserve their brand as a trustworthy partner, grow revenues, […] The post Why Data Privacy, Data Security, and Data Protection Go Hand in Hand appeared first on DATAVERSITY.

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Astera

MAY 22, 2024

What is Data Governance Data governance covers processes, roles, policies, standards, and metrics that help an organization achieve its goals by ensuring the effective and efficient use of information. Data governance manages the formal data assets of an organization.

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Astera

MARCH 19, 2024

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle. What data is being collected and stored?

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Astera

APRIL 24, 2024

What is a Data Governance Framework? A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

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Astera

AUGUST 22, 2024

For a successful merger, companies should make enterprise data management a core part of the due diligence phase. This provides a clear roadmap for addressing data quality issues, identifying integration challenges, and assessing the potential value of the target company’s data.

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Astera

APRIL 4, 2024

However, according to a survey, up to 68% of data within an enterprise remains unused, representing an untapped resource for driving business growth. One way of unlocking this potential lies in two critical concepts: data governance and information governance.

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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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Dataversity

MARCH 25, 2022

The post The Impact of Data Governance in Cybersecurity appeared first on DATAVERSITY. This is why cybersecurity is increasingly becoming a top strategic priority for enterprises of all sizes. As concerns of cyberattacks […].

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Dataversity

FEBRUARY 15, 2022

Good Data Governance is often the difference between an organization’s success and failure. And from a digital transformation standpoint, many view technologies like AI, robotics, and big data as being critical for helping companies and their boards to respond to events quicker than ever.

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Astera

APRIL 29, 2024

An effective data governance strategy is crucial to manage and oversee data effectively, especially as data becomes more critical and technologies evolve. What is a Data Governance Strategy? A data governance strategy is a comprehensive framework that outlines how data is named, stored, and processed.

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Dataversity

MARCH 27, 2023

As more and more businesses jump into the digital transformation bandwagon by leveraging cutting-edge tools and technologies, data security and privacy challenges have also increased. Even though customer privacy and security may seem interchangeable to most of us, both are distinctly separate yet interrelated concepts.

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The Data Administration Newsletter

SEPTEMBER 19, 2023

Information technology (IT) plays a vital role in data governance by implementing and maintaining strategies to manage, protect, and responsibly utilize data. Through advanced technologies and tools, IT ensures that data is securely stored, backed up, and accessible to authorized personnel.

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Astera

AUGUST 8, 2023

What matters is how accurate, complete and reliable that data. Data quality is not just a minor detail; it is the foundation upon which organizations make informed decisions, formulate effective strategies, and gain a competitive edge. to help clean, transform, and integrate your data.

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Domo

MAY 26, 2021

The Data Governance Institute (DGI) defines data governance as “a system of decision rights and accountabilities for information-related purposes, executed according to agreed-upon models that describe who can take what actions with what information, and when, under what circumstances, using what methods.” Definitely.

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Dataversity

JULY 16, 2021

As the chief marketing officer (CMO) of a cybersecurity software company, I spend a lot of time on data security for our content marketing. However, in many organizations, security is a frequently overlooked area for marketers. The post Five Tips for CMOs to Ensure Company and Data Security appeared first on DATAVERSITY.

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Astera

MAY 9, 2023

In such a scenario, it becomes imperative for businesses to follow well-defined guidelines to make sense of the data. That is where data governance and data management come into play. Let’s look at what exactly the two are and what the differences are between data governance vs. data management.

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Astera

NOVEMBER 1, 2023

Introduction   As financial institutions navigate intricate market dynamics and heighten regulatory requirements, the need for reliable and accurate data has never been more pronounced. This has spotlighted data governance—a discipline that shapes how data is managed, protected, and utilized within these institutions.

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Dataversity

NOVEMBER 18, 2024

Cloud security posture management (CSPM) and data security posture management (DSPM) are two approaches to securing cloud environments, each with its own capabilities and techniques. Many organizations may benefit most from a combination of the two, based on their particular needs.

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Domo

MAY 30, 2024

By establishing a strong foundation, improving your data integrity and security, and fostering a data-quality culture, you can make sure your data is as ready for AI as you are. As mentioned, automated tools can help you spot anomalies, making sure your data stays pristine.

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GAVS Technology

NOVEMBER 8, 2024

It is also important to understand the critical role of data in driving advancements in AI technologies. While technology innovations like AI evolve and become compelling across industries, effective data governance remains foundational for the successful deployment and integration into operational frameworks.

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The BAWorld

MAY 25, 2024

Data is said to be a very powerful tool, but it can be used against you if it is not managed properly. Data governance is quite critical due to privacy regulations and GenAI. It is recommended that companies avoid collecting irrelevant data, should start managing environmental impacts, and ensure data security at all times.

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Astera

AUGUST 30, 2024

Data Cleansing and Preparation Data cleansing and preparation can involve deduplicating your data sets to ensure high data quality and transforming your data format to one supported by the cloud platform. Read more: Practical Tips to Tackle Data Quality Issues During Cloud Migration 3.

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Astera

MAY 20, 2024

Data Provenance vs. Data Lineage Two related concepts often come up when data teams work on data governance: data provenance and data lineage. Data provenance covers the origin and history of data, including its creation and modifications. Who created this data?

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Astera

MARCH 20, 2024

Enterprise data management (EDM) is a holistic approach to inventorying, handling, and governing your organization’s data across its entire lifecycle to drive decision-making and achieve business goals. Data breaches and regulatory compliance are also growing concerns.

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Astera

JULY 3, 2024

It creates a space for a scalable environment that can handle growing data, making it easier to implement and integrate new technologies. Moreover, a well-designed data architecture enhances data security and compliance by defining clear protocols for data governance.

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Astera

MARCH 28, 2024

So, organizations create a data governance strategy for managing their data, and an important part of this strategy is building a data catalog. They enable organizations to efficiently manage data by facilitating discovery, lineage tracking, and governance enforcement.

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Business Analysis Knowledge Share

OCTOBER 27, 2023

Enhanced Data Governance : Use Case Analysis promotes data governance by highlighting the importance of data quality , accuracy, and security in the context of specific use cases. The data collected should be integrated into a centralized repository, often referred to as a data warehouse or data lake.

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Astera

JANUARY 2, 2024

Securing Data: Protecting data from unauthorized access or loss is a critical aspect of data management which involves implementing security measures such as encryption, access controls, and regular audits. Organizations must also establish policies and procedures to ensure data quality and compliance.

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Astera

JULY 12, 2024

Access Controls: Details on who can access the data and under what conditions. Data Quality Metrics : Information on the accuracy, completeness, and reliability of the data. These metrics help users assess the data’s suitability for their specific needs.

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BizAcuity

APRIL 1, 2023

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. Data governance and security measures are critical components of data strategy.

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Analysts Corner

MARCH 9, 2023

Asking computer science engineers to work on Excel can disappoint candidates who are looking forward to working on more sophisticated tools such as Tableau, Python, SQL, and other data quality and data visualisation tools. She is also publisher of “The Data Pub” newsletter on Substack. Why is Excel a double-edged sword?

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BizAcuity

JANUARY 31, 2023

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. Data governance and security measures are critical components of data strategy.

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Astera

MAY 25, 2023

That’s how it can feel when trying to grapple with the complexity of managing data on the cloud-native Snowflake platform. They range from managing data quality and ensuring data security to managing costs, improving performance, and ensuring the platform can meet future needs. So, let’s get started!

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