Tableau

MAY 11, 2022

Data refresh failure detection that flags the issue to data users for mitigation and downstream consumers. Data modeling for every data source created in Tableau that shows how to query data in connected database tables and how to include a logical (semantic) layer and a physical layer.

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Tableau

MAY 11, 2022

Data refresh failure detection that flags the issue to data users for mitigation and downstream consumers. Data modeling for every data source created in Tableau that shows how to query data in connected database tables and how to include a logical (semantic) layer and a physical layer.

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Tableau

OCTOBER 8, 2021

It's more important than ever in this all digital, work from anywhere world for organizations to use data to make informed decisions. Speed, agility, and empowerment are crucial to thriving in this new environment. However, most organizations struggle to become data driven. October 8, 2021 - 11:41pm. October 12, 2021.

Government 98

Government Digital Transformation Retail Healthcare 98

Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

The Data Administration Newsletter

FEBRUARY 1, 2022

My new book, Data Model Storytelling[i], describes how data models can be used to tell the story of an organization’s relationships with its Stakeholders (Customers, Suppliers, Dealers, Regulators, etc.), The book describes, […].

Data Modelling 64

Data Modelling Data Governance Data Management Government 64

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.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Actian

OCTOBER 7, 2019

When you want to change or upgrade systems, tools or technologies, you must find all the connections entering and exiting what is being changed and ensure they are migrated and upgraded effectively – this is a barrier to business agility and impacts your time to market/value. Data Hubs enable efficiency, scale, and agility.

Data Warehouse 10

Data Warehouse Government Data Governance Agile 10

Astera

JANUARY 2, 2024

When data is organized and accessible, different departments can work cohesively, sharing insights and working towards common goals. Data Governance vs Data Management One of the key points to remember is that data governance and data management are not the same concepts—they are more different than similar.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

FEBRUARY 28, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

FEBRUARY 27, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Actian

OCTOBER 7, 2019

When you want to change or upgrade systems, tools or technologies, you must find all the connections entering and exiting what is being changed and ensure they are migrated and upgraded effectively – this is a barrier to business agility and impacts your time to market/value. Data Hubs enable efficiency, scale, and agility.

Data Warehouse 40

Data Warehouse Government Data Governance Agile 40

Domo

OCTOBER 22, 2021

All too often, enterprise data is siloed across various business systems, SaaS systems, and enterprise data warehouses, leading to shadow IT and “BI breadlines”—a long queue of BI requests that can keep getting longer, compounding unresolved requests for data engineering services.

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

Cprime

DECEMBER 21, 2022

There are four common ways to integrate data in the cloud: A cloud integration hub – connects and shares data across Software-as-a-Service (SaaS) applications, cloud ecosystems and on-premises applications. The global Integration Platform as a Service (iPaaS) market value is approximately $1.9 billion, and it is expected to reach $10.3

Data Management 52

Data Management Real-time Data Data Governance Vision 52

Astera

JANUARY 12, 2024

Modern data architecture is characterized by flexibility and adaptability, allowing organizations to seamlessly integrate structured and unstructured data, facilitate real-time analytics, and ensure robust data governance and security, fostering data-driven insights.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Timo Elliott

FEBRUARY 3, 2025

Without a unified enterprise data model, AI initiatives will struggle to deliver accurate insights. Fragmented data sources lead to incomplete or misleading AI outputs, undermining the value of automation and analytics. These guardrails promote agility while maintaining architectural integrity.

Enterprise Architecture 147

Enterprise Architecture Skillset Digital Transformation Government 147

Insight Software

AUGUST 15, 2024

MDM is necessary for maintaining data integrity and consistency across your organization, but it can be complex and time-consuming to manage different data sources and ensure accurate data governance. With Power ON’s user management features, you can enhance collaboration and ensure robust data governance.

IBM Maintenance 52

IBM Maintenance IBM Support Data Governance Government 52

Insight Software

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. It is a complex and challenging task that requires careful planning, analysis, and execution.

IBM Support 52

IBM Support IBM Maintenance Data Warehouse IBM cost 52

Insight Software

AUGUST 30, 2024

AI can also be used for master data management by finding master data, onboarding it, finding anomalies, automating master data modeling, and improving data governance efficiency. From Chaos to Control: Navigating Your Supply Chain With Actionable Insights Download Now Is Your Data AI-Ready?

Supply Chain 52

Supply Chain IBM Maintenance IBM Support IBM cost 52

Insight Software

MARCH 13, 2024

Complex Data Structures and Integration Processes Dynamics data structures are already complex – finance teams navigating Dynamics data frequently require IT department support to complete their routine reporting.

IBM Maintenance 52

IBM Maintenance IBM Support Supply Chain IBM Expert 52