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.

Data Governance 235

Data Governance Government Data Security Data Management 235

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. Ensure employees have the resources to manage data and adhere to data governance policies effectively.

Data Quality 52

Data Quality Government Data Governance Data Security 52

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.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

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.

Data Quality 52

Data Quality Data Governance Government Monitoring 52

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. You could also establish key performance indicators (KPIs) related to data quality and integrate them into performance evaluations.

Data Quality 105

Data Quality Data Governance Government Data Security 105

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?

Data Quality 130

Data Quality Data Analytics Data Analytics Skillset 130

Astera

MAY 25, 2023

Big Data Security: Protecting Your Valuable Assets In today’s digital age, we generate an unprecedented amount of data every day through our interactions with various technologies. The sheer volume, velocity, and variety of big data make it difficult to manage and extract meaningful insights from.

Big Data 40

Big Data Data Security Monitoring Data Quality 40

The Data Administration Newsletter

DECEMBER 18, 2024

However, data migration challenges can be very complex, especially when doing large-scale data migration projects. Duplicate or missing data, system compatibility issues, data security problems, […]

Data Security 52

Data Security Data Quality Data Architecture 52

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. This is where business intelligence consulting comes into the picture. What is Business Intelligence?

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

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. This is where business intelligence consulting comes into the picture. What is Business Intelligence?

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

GAVS Technology

NOVEMBER 8, 2024

Role of Data Quality in Business Strategy The critical importance of data quality cannot be overstated, as it plays a pivotal role in shaping digital strategy and product delivery. Synthetic data must also be cautiously approached in the manufacturing sector, particularly under strict Good Manufacturing Practices (GMP).

Supply Chain 40

Supply Chain Data Governance Cybersecurity Government 40

Sisense

AUGUST 28, 2020

Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is.

Data Quality 101

Data Quality Data Security Data Architecture Agile 101

Tableau

APRIL 18, 2022

We’ve infused our values into our platform, which supports data fabric designs with a data management layer right inside our platform, helping you break down silos and streamline support for the entire data and analytics life cycle. . Analytics data catalog. Data quality and lineage. Data preparation.

Data Quality 102

Data Quality Government Artificial Intelligence Data Warehouse 102

Tableau

APRIL 18, 2022

We’ve infused our values into our platform, which supports data fabric designs with a data management layer right inside our platform, helping you break down silos and streamline support for the entire data and analytics life cycle. . Analytics data catalog. Data quality and lineage. Data preparation.

Data Quality 98

Data Quality Government Artificial Intelligence Data Warehouse 98

Cprime

NOVEMBER 22, 2021

Another obvious but often overlooked or misunderstood aspect of configuration that plays a huge role in data security is access management. This will align security standards and governance needs. As we all know, data security is a constantly evolving field. Ensure data integrity and improve data quality.

Government 98

Government Data Security Documentation Monitoring 98

Smart Data Collective

APRIL 20, 2022

Errors in data entry might have serious effects if they are not discovered quickly. Human mistake is the most common cause of data entry errors. Since typical data entry errors may be minimized with the right steps, there are numerous data lineage tool strategies that a corporation can follow.

Documentation 363

Documentation Data Quality Data Security Data Management 363

Dataversity

OCTOBER 16, 2024

In my previous blog post, I defined data mapping and its importance. Here, I explore how it works, the most popular techniques, and the common challenges that crop up and that teams must overcome to ensure the integrity and accuracy of the mapped data.

Data Quality 147

Data Quality Data Governance Data Security Government 147

Dataversity

MARCH 4, 2025

Data drives todays economy. While external data is getting increasingly difficult to access and manage securely, the demand for data is exploding.

Data Governance 130

Data Governance Data Quality Data Security Government 130

Astera

DECEMBER 16, 2024

Real-Time Dynamics: Enable instant data synchronization and real-time processing with integrated APIs for critical decision-making. Flawless Automation: Automate data workflows, including transformation and validation, to ensure high data quality regardless of the data source. Integrate.io

Data Warehouse 52

Data Warehouse Real-time Data Monitoring Data Quality 52

Domo

JUNE 7, 2024

With the Integration Suite, you can manage and prepare your data exactly where it is. This not only keeps your data secure in its native environment but also streamlines the process, saving you time and preserving the integrity and security of your data, as provided by platforms like Snowflake.

Visualization 75

Visualization Data Quality Data Security Data Management 75

Dataversity

MARCH 29, 2024

Instead of starting data protection strategies by planning backups, organizations should flip their mindset and start by planning recovery: What data needs to be recovered first? What systems […] The post World Backup Day Is So 2023 – How About World Data Resilience Day?

Planning 299

Planning Data Governance Data Quality Data Architecture 299

Domo

APRIL 28, 2022

Maintaining high-quality, error-free data. Many business teams do not have a clear understanding of who is responsible for maintaining data quality. And should duplicate data or errors be found, many do not know where to report quality issues. Managing permissions, access, and governance at scale.

Government 98

Government Big Data Data Governance Customer Experience 98

Dataversity

DECEMBER 16, 2024

In todays digital age, managing and minimizing data collection is essential for maintaining business security. Prioritizing data privacy helps organizations ensure they only gather necessary information, reducing the risk of data breaches and misuse.

Digital 130

Digital Data Governance Data Quality Data Architecture 130

Astera

FEBRUARY 9, 2024

The data is stored in different locations, such as local files, cloud storage, databases, etc. The data is updated at different frequencies, such as daily, weekly, monthly, etc. The data quality is inconsistent, such as missing values, errors, duplicates, etc.

Data Warehouse 52

Data Warehouse Data Quality Data Security Monitoring 52

Astera

JUNE 14, 2024

Unlike passive approaches, which might only react to issues as they arise, active data governance anticipates and mitigates problems before they impact the organization. Here’s a breakdown of its key components: Data Quality: Ensuring that data is complete and reliable. This includes implementing strict access controls.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

ElegantJ BI

SEPTEMBER 30, 2021

Suitable For: Large volumes of data, organizations that require good data governance and integration of data sources, use by IT, MIS, data scientists and business analysts. Advantages: Can handle governance and data quality of a great deal of data coming from various types of data sources.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

Suitable For: Large volumes of data, organizations that require good data governance and integration of data sources, use by IT, MIS, data scientists and business analysts. Advantages: Can handle governance and data quality of a great deal of data coming from various types of data sources.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

Suitable For: Large volumes of data, organizations that require good data governance and integration of data sources, use by IT, MIS, data scientists and business analysts. Advantages: Can handle governance and data quality of a great deal of data coming from various types of data sources.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

Dataversity

JANUARY 8, 2024

However, the sheer volume and complexity of data generated by an ever-growing network of connected devices presents unprecedented challenges. The Internet of Things (IoT) has rapidly redefined many aspects of our lives, permeating everywhere from our jobs to our homes and every space in between.

Data Governance 298

Data Governance Government Data Quality Data Security 298

Astera

FEBRUARY 9, 2024

The data is stored in different locations, such as local files, cloud storage, databases, etc. The data is updated at different frequencies, such as daily, weekly, monthly, etc. The data quality is inconsistent, such as missing values, errors, duplicates, etc. The validation process should check the accuracy of the CCF.

Banking 52

Banking Data Warehouse Data Quality Data Security 52

Dataversity

OCTOBER 27, 2023

In today’s digital world, data rules. Customer data, financial records, and intellectual property are susceptible to cyber threats. As a result, reinforcing security is a must for organizations that want to keep their reputation. This is where data masking comes in.

Digital 287

Digital Data Governance Data Quality Data Security 287

Dataversity

NOVEMBER 11, 2024

To put this into perspective, global investments in AI more than doubled in 2023, reaching $200 billion, and the market is now expected to reach a valuation of nearly $2 trillion within the next […] The post The AI Paradox: Why Investment Doesn’t Guarantee Success Without Privacy and Security appeared first on DATAVERSITY.

Data Governance 130

Data Governance Data Quality Data Security Government 130

Astera

APRIL 24, 2024

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.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Astera

APRIL 7, 2023

A robust data warehouse architecture does everything in data management—including ETL (extraction, transformation, loading)—while ensuring data quality, consistency, speedy retrieval, and enhanced security at all times. Improving Data Quality and Consistency Quality is essential in the realm of data management.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Dataversity

DECEMBER 11, 2023

Organizations learned a valuable lesson in 2023: It isn’t sufficient to rely on securing data once it has landed in a cloud data warehouse or analytical store. As a result, data owners are highly motivated to explore technologies in 2024 that can protect data from the moment it begins its journey in the source systems.

Data Governance 278

Data Governance Government Data Warehouse Data Quality 278

Dataversity

FEBRUARY 28, 2024

In our increasingly digital world, organizations recognize the importance of securing their data. As cloud-based technologies proliferate, the need for a robust identity and access management (IAM) strategy is more critical than ever.

Digital 276

Digital Data Governance Data Quality Data Architecture 276

Astera

MARCH 30, 2023

while data sharing is crucial for organizations, it does not come without implementational challenge Create a Centralized Data Repository For Seamless Data Sharing with Astera Centerprise View Demo Challenges of Intra-Enterprise Data sharing Data Security: A primary challenge of sharing data across organizations is data security.

Data Quality 52

Data Quality Data Warehouse Data Security Finance 52