Astera

APRIL 28, 2023

With the ever-increasing volume of data generated and collected by companies, manual data management practices are no longer effective. Artificial intelligence (AI) and intelligent systems have significantly contributed to data management, transforming how organizations collect, store, analyze, and leverage data.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

Dataversity

JULY 17, 2023

For data-driven organizations, this leads to successful marketing, improved operational efficiency, and easier management of compliance issues. However, unlocking the full potential of high-quality data requires effective Data Management practices.

Data Requirement 130

Data Requirement Data Management Data Quality Data Governance 130

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

Data Management 52

Data Management Master Data Management Data Warehouse Data Quality 52

Astera

JANUARY 2, 2024

Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place. But what exactly is data management? What Is Data Management? As businesses evolve, so does their data.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

AUGUST 22, 2023

This system promotes quick and precise transactions, thereby driving efficiency and cost-effectiveness in data management. In healthcare, managing vast amounts of data is an everyday task. Patient records, billing information, insurance details, and more all require efficient data management processes.

Healthcare 52

Healthcare Data Management Supply Chain Pharmaceutical 52

Smart Data Collective

JUNE 19, 2019

They include the identification of the potential risk, analysis of its potential effects, prioritizing, and developing a plan on how to manage the risk in case it occurs. Aligning these elements of risk management with the handling of big data requires that you establish real-time monitoring controls.

Big Data 230

Big Data Logistics Monitoring Data Analytics 230

Smart Data Collective

OCTOBER 17, 2022

All of that data puts a load on even the most powerful equipment. Reports and models stutter as they try to interpret the massive amounts of data flowing through them. If you’re not careful, your engineers’ data requirements may overwhelm your computers’ capacity. Time is precious for most teams of engineers.

Big Data 299

Big Data Government Data Governance Data Warehouse 299

Astera

SEPTEMBER 27, 2024

They adjust to changes in data sources and structures without missing a ny information. How Smart Data Pipelines Set the Stage for Success 1. Streamlined Access for All Users Accessing and analyzing data required technical expertise, which limited the scope of who could effectively use the data.

Data Management 52

Data Management Innovation Retail Real-time Data 52

Actian

SEPTEMBER 12, 2019

As these distributed AI algorithms in edge devices become more sophisticated, persistent data requirements must advance at the same pace to enable the emerging use cases and immersive experiences that the market demands. You can learn more about Actian’s Cloud Data Warehouse here.

Data Requirement 40

Data Requirement Artificial Intelligence Data Warehouse Cloud Computing 40

Actian

SEPTEMBER 12, 2019

As these distributed AI algorithms in edge devices become more sophisticated, persistent data requirements must advance at the same pace to enable the emerging use cases and immersive experiences that the market demands. You can learn more about Actian’s Cloud Data Warehouse here.

Data Requirement 8

Data Requirement Artificial Intelligence Data Warehouse Cloud Computing 8

Domo

MAY 30, 2024

This not only improves your data but also helps cultivate a culture of quality across your organization. Celebrating these contributions can boost morale and encourage a proactive approach to data management. Regularly review your data practices and stay updated on solutions for improving your data’s quality and security.

Data Quality 105

Data Quality Data Governance Government Data Security 105

Smart Data Collective

OCTOBER 26, 2019

Additionally, having a data storage of such magnitude off-site could potentially result in hefty transport fees if the off-site location is far away. Furthermore, data backups take time and with data lakes, this time could run into the dozens, even hundreds of hours depending on the volume of data required.

Big Data 168

Big Data Data Requirement Data Management 168

Tableau

SEPTEMBER 12, 2024

Tableau Semantics enrich analytics data for trusted insights It’s difficult to ensure that insights are based on a complete and accurate view of information. This not only creates doubt, but also makes it challenging to turn data into real business value.

Data Modelling 111

Data Modelling Real-time Data Visualization Government 111

BizAcuity

SEPTEMBER 30, 2019

Beyond industry standards and certification, also look for structured processes, effective data management, good knowledge management and service status visibility. Data governance and information security. These differentiate a dependable provider from the others.

Data Governance 140

Data Governance Government Cloud Computing Monitoring 140

Juice Analytics

MAY 19, 2021

Without arriving at shared definitions and terminology, your data discussion will get stuck in fruitless debates. Where to get started: There are many high-tech Master Data Management solutions… not the place to start. Link to it when you present data in a dashboard, report, or data story.

Master Data Management 59

Master Data Management Documentation Data Requirement Data Management 59

Astera

SEPTEMBER 21, 2022

Astera showcased its code-free data management platform and its latest addition, Astera Data Services. Our team interacted with various conference participants and discussed opportunities to accelerate data-driven initiatives. It really affects the ability to respond to changing data requirements quickly.”

Big Data 52

Big Data Customer Experience Customer Experience Government 52

BizAcuity

SEPTEMBER 30, 2019

Beyond industry standards and certification, I also look for structured processes, effective data management, good knowledge management, and service status visibility. DATA GOVERNANCE AND INFORMATION SECURITY. These differentiate a dependable provider from the others.

Data Governance 113

Data Governance Government Cloud Computing Monitoring 113

Astera

MARCH 26, 2023

But managing this data can be a significant challenge, with issues ranging from data volume to quality concerns, siloed systems, and integration difficulties. In this blog, we’ll explore these common data management challenges faced by insurance companies.

Documentation 52

Documentation Data Quality Data Warehouse Data Management 52

Astera

AUGUST 15, 2024

One such scenario involves organizational data scattered across multiple storage locations. In such instances, each department’s data often ends up siloed and largely unusable by other teams. This displacement weakens data management and utilization. The solution for this lies in data orchestration.

Data Quality 52

Data Quality Monitoring Artificial Intelligence Government 52

Astera

DECEMBER 21, 2022

Across all sectors, success in the era of Big Data requires robust management of a huge amount of data from multiple sources. Whether you are running a video chat app, an outbound contact center, or a legal firm, you will face challenges in keeping track of overwhelming data. What are the benefits of unified data?

Data Management 52

Data Management Data Governance Government Data Warehouse 52

Astera

MARCH 19, 2024

Implementing security measures to protect data from unauthorized access, breaches, or misuse is crucial for maintaining confidentiality and compliance with regulations. Data Governance Vs. Data Management What’s the difference between data governance and data management?

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Netmind

MARCH 9, 2021

Data Management. A good data management strategy includes defining the processes for data definition, collection, analysis, and usage, including data quality assurance (and privacy), and the levels of accountability and collaboration throughout the process. How do we ensure good data governance?

Data Governance 52

Data Governance Government Data Requirement Vision 52

Netmind

NOVEMBER 1, 2020

Data Management. A good data management strategy includes defining the processes for data definition, collection, analysis, and usage, including data quality assurance (and privacy), and the levels of accountability and collaboration throughout the process. How do we ensure good data governance?

Data Governance 52

Data Governance Government Data Requirement Vision 52

The Data Administration Newsletter

OCTOBER 5, 2022

Governance for Acquired Data / Selecting Sources Our next column in the series explores challenges with governing acquired data, and then we’ll introduce a framework for managing acquired data— the data acquisition lifecycle.

Government 52

Government Data Requirement Data Quality Data Governance 52

BizAcuity

SEPTEMBER 30, 2019

Beyond industry standards and certification, also look for structured processes, effective data management, good knowledge management and service status visibility. DATA GOVERNANCE AND INFORMATION SECURITY. These differentiate a dependable provider from the others.

Data Governance 100

Data Governance Government Cloud Computing Monitoring 100

BizAcuity

SEPTEMBER 30, 2019

Beyond industry standards and certification, also look for structured processes, effective data management, good knowledge management and service status visibility. DATA GOVERNANCE AND INFORMATION SECURITY. These differentiate a dependable provider from the others.

Data Governance 100

Data Governance Government Cloud Computing Monitoring 100

Astera

SEPTEMBER 25, 2024

The data management and integration world is filled with various software for all types of use cases, team sizes, and budgets. It provides many features for data integration and ETL. Top 10 Airbyte Alternatives in 2024 Astera Astera is an AI-powered no-code data management solution. Automatic schema migrations.

Real-time Data 52

Real-time Data Data Warehouse Documentation Monitoring 52

Astera

SEPTEMBER 4, 2024

You can administer third-party or public data as its own domain in the mesh, ensuring consistency with your internal domain-specific datasets. What is Data Fabric? Unlike the data mesh architecture, the data fabric approach is centralized. It presents an integrated and unified data management framework.

Data Architecture 52

Data Architecture Data Governance Government Data Discovery 52

Astera

OCTOBER 12, 2023

Let’s review the top 7 data validation tools to help you choose the solution that best suits your business needs. Top 7 Data Validation Tools Astera Informatica Talend Datameer Alteryx Data Ladder Ataccama One 1. Astera Astera is an enterprise-grade, unified data management solution with advanced data validation features.

Data Quality 52

Data Quality Monitoring Real-time Data Government 52

Astera

APRIL 29, 2024

It would focus on what the customer wants, how the market is behaving, and what other competitors are doing, all through the lens of fresh, accurate data. In short, a data governance strategy includes the following: Establishing principles, policies, and procedures for data management.

Data Governance 52

Data Governance Government IBM Maintenance Data Quality 52

Astera

JULY 3, 2024

Data architecture is important because designing a structured framework helps avoid data silos and inefficiencies, enabling smooth data flow across various systems and departments. An effective data architecture supports modern tools and platforms, from database management systems to business intelligence and AI applications.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Whizlabs

DECEMBER 13, 2020

However, now DevOps teams will continue to participate more in the data strategy process. The outcomes of these trends would refer to the increased mobility of workloads associated with a rise in cloud data management techniques. Furthermore, businesses could also require the ability to control their releases to the end-users.

Monitoring 98

Monitoring Digital Transformation Product Management Product Management 98

Astera

JANUARY 18, 2024

So, in case your data requires extensive transformation or cleaning, Fivetran is not the ideal solution. Fivetran might be a viable solution if your data is already in good shape, and you need to leverage the computing power of the destination system.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

Astera

FEBRUARY 7, 2024

This process also eradicates the need for intermediate data storage in a staging area. So, let’s dig further and see how zero-ETL works and how i t can b e beneficial in certain data management use cases. Moreover, highly complex data require more development and maintenance resources to maintain zero-ETL solutions.

Real-time Data 52

Real-time Data Cybersecurity Data Quality Monitoring 52

The BAWorld

SEPTEMBER 18, 2024

There exist various forms of data integration, each presenting its distinct advantages and disadvantages. The optimal approach for your organization hinges on factors such as data requirements, technological infrastructure, performance criteria, and budget constraints.

Data Warehouse 52

Data Warehouse Finance Data Architecture Banking 52

The BAWorld

MARCH 13, 2024

It ensures data consistency, accessibility, and integrity, facilitating efficient data storage, retrieval, and analysis. By modeling data entities and connections, analysts determine data requirements, standardize databases, and refine data management practices.

Business Analysis 52

Business Analysis Business Analysis Backlog Management Process Modelling 52

Astera

NOVEMBER 1, 2023

Faster Decision-Making: Quick access to comprehensive and reliable data in a data warehouse streamlines decision-making processes, which enables financial organizations to respond rapidly to market changes and customer needs. It provides a tailored set of data warehouse automation features to meet your specific data requirements.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52