Analysts Corner

OCTOBER 31, 2023

Commercial : Customer Relationship Management (CRM) systems that integrate customer data and preferences to identify greater business opportunities in personalized campaigns and actions. Management : monitoring transactional data from business operations to generate indicators at various levels. Consider how connected you are.

Artificial Intelligence 246

Artificial Intelligence Monitoring Banking Healthcare 246

Data Pine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

Data Quality 96

Data Quality Monitoring Big Data Government 96

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. Adhering to robust governance frameworks allows insurers to ensure compliance with data privacy regulations.

Data Quality 52

Data Quality Government Data Governance Data Security 52

Astera

APRIL 19, 2024

Data governance and data quality are closely related, but different concepts. The major difference lies in their respective objectives within an organization’s data management framework. Data quality is primarily concerned with the data’s condition. Financial forecasts are reliable.

Data Governance 52

Data Governance Data Quality Government Monitoring 52

Astera

OCTOBER 30, 2024

This is because the integration of AI transforms the static repository into a dynamic, self-improving system that not only stores metadata but also enhances data context and accessibility to drive smarter decision-making across the organization. Wrap up As 2024 comes to a close, it’s evident that AI is no longer a mere catchword.

Data Discovery 52

Data Discovery Supply Chain Data Quality Government 52

Domo

APRIL 10, 2025

This is where master data management (MDM) comes in, offering a solution to these widespread data management issues. MDM ensures data accuracy, governance, and accountability across an enterprise. Supported by data governance policies and technologies like data modeling, MDM keeps this information trustworthy over time.

Master Data Management 52

Master Data Management Data Management Data Governance Supply Chain 52

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

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.

Data Governance 52

Data Governance Government Data Quality 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

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.

Data Governance 52

Data Governance Government E-Commerce Data Quality 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

APRIL 3, 2024

What is a data quality framework? A data quality framework is a set of guidelines that enable you to measure, improve, and maintain the quality of data in your organization. It’s not a magic bullet—data quality is an ongoing process, and the framework is what provides it a structure.

Data Quality 52

Data Quality Data Governance Government Monitoring 52

The BAWorld

JULY 22, 2024

Data Quality Analyst The work of data quality analysts is related to the integrity and accuracy of data. They have to sustain high-quality data standards by detecting and fixing issues with data. They create metrics for data quality and implement data governance procedures.

IBM Maintenance 95

IBM Maintenance Data Governance Data Quality Government 95

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?

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

JANUARY 1, 2024

What Is Data Quality? Data quality is the measure of data health across several dimensions, such as accuracy, completeness, consistency, reliability, etc. In short, the quality of your data directly impacts the effectiveness of your decisions.

Data Quality 52

Data Quality Data Governance Government Data Warehouse 52

Astera

JANUARY 1, 2024

What Is Data Quality? Data quality is the measure of data health across several dimensions, such as accuracy, completeness, consistency, reliability, etc. In short, the quality of your data directly impacts the effectiveness of your decisions.

Data Quality 52

Data Quality Data Governance Government Data Warehouse 52

Tableau

APRIL 18, 2022

Tableau helps strike the necessary balance to access, improve data quality, and prepare and model data for analytics use cases, while writing-back data to data management sources. Analytics data catalog. Review quality and structural information on data and data sources to better monitor and curate for use.

Data Quality 102

Data Quality Government Artificial Intelligence Data Warehouse 102

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.

Data Governance 52

Data Governance Government IBM Maintenance Data Quality 52

Astera

MAY 30, 2024

Digitalization has led to more data collection, integral to many industries from healthcare diagnoses to financial transactions. For instance, hospitals use data governance practices to break siloed data and decrease the risk of misdiagnosis or treatment delays.

Data Governance 52

Data Governance Government Data Management Data Quality 52

Astera

AUGUST 3, 2023

Data quality stands at the very core of effective B2B EDI. According to Dun and Bradstreet’s recent report , 100% of the B2B companies that invested in data quality witnessed significant performance gains, highlighting the importance of accurate and reliable information.

Data Quality 52

Data Quality Supply Chain Monitoring Real-time Data 52

Astera

AUGUST 3, 2023

Data quality stands at the very core of effective B2B EDI. According to Dun and Bradstreet’s recent report , 100% of the B2B companies that invested in data quality witnessed significant performance gains, highlighting the importance of accurate and reliable information.

Data Quality 52

Data Quality Supply Chain Monitoring Real-time Data 52

Tableau

APRIL 18, 2022

Tableau helps strike the necessary balance to access, improve data quality, and prepare and model data for analytics use cases, while writing-back data to data management sources. Analytics data catalog. Review quality and structural information on data and data sources to better monitor and curate for use.

Data Quality 98

Data Quality Government Artificial Intelligence Data Warehouse 98

ElegantJ BI

AUGUST 9, 2017

For those who are managing an analytical solution implementation, or trying to select a solution for business users, it is important to understand the terms and the features and function of these solutions so that you can select the appropriate solution for your users, your data analysts and your IT team.

Data Discovery 130

Data Discovery Monitoring Data Governance Data Quality 130

ElegantJ BI

AUGUST 9, 2017

For those who are managing an analytical solution implementation, or trying to select a solution for business users, it is important to understand the terms and the features and function of these solutions so that you can select the appropriate solution for your users, your data analysts and your IT team.

Data Discovery 130

Data Discovery Monitoring Data Governance Data Quality 130

ElegantJ BI

AUGUST 9, 2017

For those who are managing an analytical solution implementation, or trying to select a solution for business users, it is important to understand the terms and the features and function of these solutions so that you can select the appropriate solution for your users, your data analysts and your IT team.

Data Discovery 130

Data Discovery Monitoring Data Governance Data Quality 130

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.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

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.

Supply Chain 40

Supply Chain Data Governance Cybersecurity Government 40

Cprime

NOVEMBER 22, 2021

Governance. The choices you make when configuring your new cloud instances of Jira, Confluence, and other tools will substantially impact the overall security of your data. Another obvious but often overlooked or misunderstood aspect of configuration that plays a huge role in data security is access management.

Government 98

Government Data Security Documentation Monitoring 98

Astera

JUNE 14, 2024

Automated data governance is a relatively new concept that is fundamentally altering data governance practices. Traditionally, organizations have relied on manual processes to ensure effective data governance. This approach has given governance a reputation as a restrictive discipline.

Data Governance 40

Data Governance Government Data Quality Data Discovery 40

Analysts Corner

JUNE 18, 2023

Python, Java, C#) Familiarity with data modeling and data warehousing concepts Understanding of data quality and data governance principles Experience with big data platforms and technologies (e.g., Oracle, SQL Server, MySQL) Experience with ETL tools and technologies (e.g.,

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

Astera

NOVEMBER 28, 2023

This highlights the need for effective data pipeline monitoring. Data pipeline monitoring enhances decision-making, elevates business performance, and increases trust in data-driven operations, contributing to organizational success. What is Data Pipeline Monitoring?

Monitoring 40

Monitoring Data Quality Government Healthcare 40

Astera

DECEMBER 16, 2024

Pre-Built Transformations: It offers pre-defined drag-and-drop and Python code-based transformations to help users clean and prepare data for analysis. Scalability: It can handle large-scale data processing, making it suitable for organizations with growing data volumes.

Data Warehouse 52

Data Warehouse Real-time Data Monitoring Data Quality 52

Tableau

AUGUST 24, 2021

release: Get Tableau notifications directly in Slack for data-driven alerts, @mentions in comments, and sharing activity to stay on top of your data, from anywhere. Safely explore data and save content on your Tableau Server or Online site before it’s ready to be shared with others with Personal Space. Tableau Prep.

Data Management 105

Data Management Data Quality Government Monitoring 105

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.

Data Governance 40

Data Governance Government Data Quality Banking 40

Business Analysts

SEPTEMBER 19, 2024

DIKW pyramid helps us look how we use and apply data to make decisions. Data is the raw facts and figures. Data with meaning is information. Applying knowledge in the right way is wisdom Effective Data Governance provides numerous benefits to an organization. Information with context is knowledge.

Data Governance 40

Data Governance Government Data Quality Monitoring 40

Tableau

AUGUST 24, 2021

release: Get Tableau notifications directly in Slack for data-driven alerts, @mentions in comments, and sharing activity to stay on top of your data, from anywhere. Safely explore data and save content on your Tableau Server or Online site before it’s ready to be shared with others with Personal Space. Tableau Prep.

Data Management 98

Data Management Data Quality Government Monitoring 98

Dataversity

SEPTEMBER 9, 2024

There’s a movement underway to capture an increasing amount of data about employees – from facial recognition or fingerprint systems used for tracking time and attendance, to systems that monitor your every keystroke.

Monitoring 130

Monitoring Data Governance Data Quality Government 130