Astera

MARCH 28, 2024

So, organizations create a data governance strategy for managing their data, and an important part of this strategy is building a data catalog. They enable organizations to efficiently manage data by facilitating discovery, lineage tracking, and governance enforcement.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

MAY 13, 2024

These are some uses of hierarchical aggregation in a few industries: Finance: Evaluating financial data by transaction, account type, and branch. Government: Using regional and administrative level demographic data to guide decision-making. Some of these features include reporting tools, dashboards, and data modeling.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

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

Actian

OCTOBER 7, 2019

A data hub is a logical architecture which enables data sharing by connecting producers of data (applications, processes, and teams) with consumers of data (other applications, process, and teams). Data hubs also simplify the data governance requirements as the data is persisted at a central location.

Data Warehouse 10

Data Warehouse Government Data Governance Agile 10

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 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 Cloud Computing Data Quality Monitoring 52

Sisense

JULY 6, 2020

Like any complex system, your company’s EDM system is made up of a multitude of smaller subsystems, each of which has a specific role in creating the final data products. These subsystems each play a vital part in your overall EDM program, but three that we’ll give special attention to are data governance, architecture, and warehousing.

Data Management 98

Data Management Data Architecture Data Governance Government 98

Astera

JULY 13, 2023

Master Data Management (MDM) Master data management is a process of creating a single, authoritative source of data for business-critical information, such as customer or product data. One of the key benefits of MDM is that it can help to improve data quality and reduce errors.

Data Warehouse 40

Data Warehouse Data Governance Data Quality Master Data Management 40

Astera

DECEMBER 22, 2022

It’s one of the three core data types, along with structured and semi-structured formats. Examples of unstructured data include call logs, chat transcripts, contracts, and sensor data, as these datasets are not arranged according to a preset data model. This makes managing unstructured data difficult.

Data Quality 52

Data Quality Data Mining Data Warehouse Data Governance 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

Astera

APRIL 24, 2024

IBM Cloud Pak for Data IBM Cloud Pak for Data is an integrated data and AI platform that aids in removing data silos and improving data security and accessibility. It offers a modular set of software components for data management. Test the tool’s transformation capabilities with data samples.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

Insight Software

MARCH 13, 2024

While Microsoft Dynamics is a powerful platform for managing business processes and data, Dynamics AX users and Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) users are only too aware of how difficult it can be to blend data across multiple sources in the Dynamics environment.

IBM Maintenance 52

IBM Maintenance IBM Support Supply Chain IBM Expert 52