Astera

FEBRUARY 28, 2024

Data Governance and Documentation Establishing and enforcing rules, policies, and standards for your data warehouse is the backbone of effective data governance and documentation. Keeping track of metadata can help you understand the data, facilitate data integration , enable data lineage tracing, and enhance data quality.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Domo

OCTOBER 24, 2024

The analyst firm cites that organizations of all sizes pay the most attention to BI priorities associated with data security, data quality, reporting, dashboards and data visualization, and indicates that small organizations are relatively more influenced by executive management, operations, IT, customer service or sales.

Business Intelligence 52

Business Intelligence Business Intelligence Cloud Computing Customer Experience 52

Domo

AUGUST 2, 2023

The report includes in-depth analyses of BI topics such as adoption and deployment, data leadership, organization budgets, data literacy and objectives and achievements. This year’s report found that out of 59 topics, data security, data quality and reporting are the top technologies and initiatives strategic to BI.

Business Intelligence 52

Business Intelligence Business Intelligence Cloud Computing Customer Experience 52

Dataversity

MARCH 14, 2024

Many companies hesitate to migrate to the cloud for a variety of valid reasons. However, these migration concerns are often based on misconceptions that keep companies from realizing the financial and operational benefits of the cloud.

Cloud Computing 173

Cloud Computing Data Governance Data Quality Data Architecture 173

Astera

AUGUST 30, 2024

Twelve years ago, a Wakefield Research survey revealed that 1 in 3 Americans thought cloud computing was somehow related to the weather. Fast forward to today, 67% of enterprise infrastructure in the US is cloud-based. Read more: Practical Tips to Tackle Data Quality Issues During Cloud Migration 3.

Data Governance 52

Data Governance Government Data Quality Documentation 52

Astera

OCTOBER 19, 2023

Easy-to-Use, Code-Free Environment By eliminating the need for writing complex code, data preparation tools reduce the risk of errors. These tools allow users to manipulate and transform data without the potential pitfalls of manual coding. The tool also lets users visually explore data through data exploration and profiling.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Dataversity

DECEMBER 23, 2022

Ask any data or security professional and chances are they will say that the growing number of global threats combined with the increasing demand by consumers to understand how their data is being used, stored, and accessed has made their job extremely stressful.

Data Security 130

Data Security Cloud Computing Data Quality Data Architecture 130

Dataversity

JUNE 20, 2022

Globally, organizations are churning out data in massive volumes for a plethora of reasons. Data enables organizations to speed up innovation, take business-critical decisions confidently, get deep consumer insights, and use all that information to stay ahead of their competitors. However, where does all that data go?

Innovation 130

Innovation Cloud Computing Data Governance Data Quality 130

Astera

MAY 25, 2023

Its current iteration (SQL Server 2019) offers real-time data integration capabilities with native support for distributed processing architectures and cloud computing solutions.

Cloud Computing 52

Cloud Computing Visualization Real-time Data Data Quality 52

Marutitech

JANUARY 21, 2022

Hence, if they are provided with the manager role, they will skimp on data science management. . One of the essential tasks of data science management is ensuring and maintaining the highest possible data quality standards. Companies worldwide follow various approaches to deal with the process of data mining. .

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

Astera

AUGUST 16, 2024

In fact, Zippia reports that 67% of enterprise infrastructure in the US is now cloud-based. Moreover, organizations are now conducting cloud-to-cloud migrations to optimize their data stack and consolidate their data assets, with the cloud computing market expected to cross the $1 trillion mark by 2028.

Planning 52

Planning Digital Transformation Government Cloud Computing 52

Astera

NOVEMBER 30, 2023

Here are some key reasons why Data Vault 2.0 was needed: Evolving Data Ecosystems: Data Vault 1.0 was developed in the early 2000s when data ecosystems were simpler and less complex compared to today. With the advent of big data, cloud computing, and advanced analytics, data architectures have become more intricate.

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Astera

JUNE 3, 2024

A data warehouse leverages the core strengths of databases—data storage, organization, and retrieval—and tailor them specifically to support data analysis and business intelligence (BI) efforts. Today, cloud computing, artificial intelligence (AI), and machine learning (ML) are pushing the boundaries of databases.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Astera

JANUARY 12, 2024

Self-Serve Data Infrastructure as a Platform: A shared data infrastructure empowers users to independently discover, access, and process data, reducing reliance on data engineering teams. However, governance remains essential in a Data Mesh approach to ensure data quality and compliance with organizational standards.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Astera

APRIL 10, 2023

These approaches allow businesses to leverage the benefits of both cloud-based and on-premises solutions, as well as multiple cloud-based solutions from different providers, to create a more resilient and flexible data integration environment.

Data Management 52

Data Management IBM Maintenance Real-time Data IBM Support 52

Insight Software

FEBRUARY 21, 2025

Rapid technological advancements, such as artificial intelligence, machine learning, and cloud computing, have only caused skills gaps to broaden, creating a higher demand for skilled professionals. At the same time, the imperative to migrate to cloud-based systems introduces complexity and demands specialized expertise.

IBM Maintenance 52

IBM Maintenance Finance IBM Support Artificial Intelligence 52

Insight Software

AUGUST 24, 2023

Cloud computing is proliferating businesses across all industries. According to a recent survey by the Harvard Business Review , 81% of respondents said cloud is very or extremely important to their company’s growth strategy.

IBM Maintenance 52

IBM Maintenance IBM cost Finance IBM Support 52