Astera

NOVEMBER 1, 2023

A centralized repository of accurate, complete, and timely data allows financial institutions to gather actionable insights to make informed choices across strategic, tactical, and operational fronts. Efficient Reporting: Standardized data within a data warehouse simplifies the reporting process.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

Smart Data Collective

JUNE 19, 2019

Many businesses globally are dealing with big data which brings along a mix of benefits and challenges. A report by China’s International Data Corporation showed that global data would rise to 175 Zettabyte by 2025. This growth means that you should prepare to handle even larger internal and external data soon.

Big Data 178

Big Data Logistics Monitoring Data Analytics 178

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Astera

APRIL 29, 2024

In short, a data governance strategy includes the following: Establishing principles, policies, and procedures for data management. Aligning the overarching data strategy. Ensuring ongoing monitoring and adaptation. Who is responsible for various data governance roles?

Data Governance 52

Data Governance Government IBM Maintenance Data Quality 52

Astera

APRIL 7, 2023

In the world of medical services, large volumes of healthcare data are generated every day. Currently, around 30% of the world’s data is produced by the healthcare industry and this percentage is expected to reach 35% by 2025. The sheer amount of health-related data presents countless opportunities.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 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

Astera

DECEMBER 7, 2023

Did you know that the world is creating more data than ever before? If you want to know the exact figures, data is estimated to grow beyond a staggering 180 zettabytes by 2025! ETL—Extract, Transform, Load— is a pivotal mechanism for managing vast amounts of information. That’s where ETL comes in.

Supply Chain 52

Supply Chain E-Commerce Data Warehouse Real-time Data 52