Domo

SEPTEMBER 4, 2024

With Domo, we were able to build a hub where the teams can digest data from NetSuite in a user-friendly way. One of these is master data management, standardizing all of the SKUs and their categories. Over time, we added new use cases for our supply chain and finance functions.

Retail 52

Retail Supply Chain Finance Master Data Management 52

Astera

AUGUST 8, 2023

Reusable Scripts: Astera streamlines data preparation with efficient, reusable scripts across workflows, promoting automation, efficiency, and consistency. Data Security and Compliance: The tool has security and compliance features, safeguarding your data and ensuring adherence to relevant regulations.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

JULY 13, 2023

One of the key benefits of a data lake is that it can also store unstructured data, such as social media posts, emails, and documents. This makes it a valuable resource for organizations that need to analyze a wide range of data types.

Data Warehouse 40

Data Warehouse Data Quality Data Governance Master Data Management 40

Astera

JANUARY 2, 2024

Execution and handling of data operations. Objective Ensure data quality, security, and compliance. Efficient and effective handling of data. Activities Policy creation, enforcement, and monitoring. Data collection, storage, processing, and usage. Addresses immediate data handling requirements.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

JANUARY 25, 2024

This facilitates the real-time flow of data from data warehouse to reporting dashboards and operational analytics tools, accelerating data processing and providing business leaders with timely information. On-going Monitoring The final step is to keep an eye on the process.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

NOVEMBER 1, 2023

Credit rating agencies may use data from credit bureaus to evaluate creditworthiness and assign credit ratings to borrowers.   Data Quality Management   Data quality management involves monitoring and controlling data quality to ensure its suitability for the intended purpose.

Data Governance 40

Data Governance Government Data Quality Banking 40

Astera

MAY 9, 2023

Nowadays, companies have a specific role – Data Steward, to help enforce policies for data governance in different company divisions or units. Establishing and maintaining the measures needed to ensure compliance with the company’s policies concerning information security is necessary for data security.

Data Governance 40

Data Governance Government Data Management Data Security 40

Astera

JANUARY 18, 2024

Data Warehouse Builder for creating a custom data warehouse and related data warehousing features. EDIConnect for EDI management. API Management for designing, testing, publishing, and monitoring APIs. It is an enterprise-grade data management solution widely used for a variety of data integration use cases.

IBM Support 52

IBM Support IBM Maintenance IBM cost Data Warehouse 52

Astera

DECEMBER 28, 2023

Informatica is an enterprise-grade data management platform that caters to a wide range of data integration use cases, helping organizations handle data from end to end. The services it provides include data integration, quality, governance, and master data management , among others.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

DECEMBER 28, 2023

Informatica is an enterprise-grade data management platform that caters to a wide range of data integration use cases, helping organizations handle data from end to end. The services it provides include data integration, quality, governance, and master data management , among others.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

GAVS Technology

DECEMBER 2, 2020

Co-founder & CIO, Healthcare Too. Advisor to the CIO of AgFirst. Is Healthcare Artificial Intelligence The Answer? To help explain the future of healthcare Artificial Intelligence (AI) let’s borrow a few lines from Lewis Carroll’s classic Alice in Wonderland : Alice: Would you tell me, please, which way I ought to go from here?

Healthcare 52

Healthcare Artificial Intelligence Retail Government 52

Astera

MAY 14, 2024

Let’s look at some of the metadata types below: Operational metadata: details how and when data occurs and transforms. This metadata type helps to manage, monitor, and optimize system architecture performance. Examples include time stamps, execution logs, data lineage, and dependency mapping. Image by Astera.

Government 52

Government Data Governance Master Data Management Documentation 52

Data Pine

NOVEMBER 27, 2019

It is not only important to gather as much information possible, but the quality and the context in which data is being used and interpreted serves as the main focus for the future of business intelligence. Accordingly, the rise of master data management is becoming a key priority in the business intelligence strategy of a company.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Inflexion Analytics

JUNE 17, 2024

Google Cloud Dataflow enables organizations to process and analyze data as it arrives, providing immediate insights that can be acted upon quickly. Example A large e-commerce company uses Google Cloud Dataflow to monitor user interactions on its website in real-time. And so far it’s shaping up very well.

Digital 52

Digital E-Commerce Real-time Data Data Warehouse 52

Astera

FEBRUARY 7, 2024

Postgres CDC initially makes copies of the database and then incrementally updates them with changed data. Your Master Data Management (MDM) System will operate more smoothly with Postgres CDC in effect. Cons of Using WAL for Postgres CDC The data you extract from the WAL may be in a raw format.

E-Commerce 52

E-Commerce Data Warehouse Monitoring Data Management 52

Astera

APRIL 24, 2024

At its core, Astera boasts a potent ETL engine that automates data integration. Additionally, the platform’s customizable automation enhances efficiency by scheduling tasks and providing real-time monitoring to address integration errors quickly. These features streamline data integration, ensuring users enjoy uninterrupted data flow.

IBM Support 52

IBM Support IBM cost IBM Maintenance Visualization 52