Data Management Data Warehouse Monitoring Supply Chain 
Actian
MAY 22, 2019
When most company leaders think about their data warehouse and the systems connected to it, they typically think about their internal IT systems. For companies with outsourced supply chains, real time integration with their suppliers’ systems and data warehouse can enable better insights, better security and more supply-chain agility.
Astera
APRIL 28, 2023
Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations.
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Actian
FEBRUARY 19, 2019
With increasing competition in the marketplace and shrinking profit margins in many industries, companies are increasing looking for ways to achieve higher levels of business process optimization throughout their supply chain. The challenge with each of these approaches is the timeliness of data for making decisions.
BizAcuity
APRIL 14, 2022
They tell you how big data helped them create a mark in today’s world. FedEx along with the data of orders, merges these with weather and traffic data. Tesla is another company that picks up data from their cars and also analyzes traffic and weather. With big data, brands want to improve their value offerings.
Astera
NOVEMBER 13, 2023
But have you ever wondered how data informs the decision-making process? The key to leveraging data lies in how well it is organized and how reliable it is, something that an Enterprise Data Warehouse (EDW) can help with. What is an Enterprise Data Warehouse (EDW)?
Astera
MAY 13, 2024
It prepares data for analysis, making it easier to obtain insights into patterns and insights that aren’t observable in isolated data points. Once aggregated, data is generally stored in a data warehouse. Government: Using regional and administrative level demographic data to guide decision-making.
Astera
DECEMBER 7, 2023
ETL refers to a process used in data integration and warehousing. It gathers data from various sources, transforms it into a consistent format, and then loads it into a target database, data warehouse , or data lake. Extract: Gather data from various sources like databases, files, or web services.
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