Astera

NOVEMBER 1, 2023

It serves as the foundation of modern finance operations and enables data-driven analysis and efficient processes to enhance customer service and investment strategies. This data about customers, financial products, transactions, and market trends often comes in different formats and is stored in separate systems.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

Astera

APRIL 13, 2023

In the digital age, a data warehouse plays a crucial role in businesses across several industries. It provides a systematic way to collect and analyze large amounts of data from multiple sources, such as marketing, sales, finance databases, and web analytics. What is a Data Warehouse?

Data Warehouse 52

Data Warehouse Data Mining Business Intelligence Business Intelligence 52

Insight Software

MAY 27, 2022

Synapse services serve the purpose of merging data integration, warehousing, and big data analysis together with the goal of gaining a unified experience to ingest, prepare, manage, and serve data for business intelligence needs. How Synapse works with Data Lakes and Warehouses.

Supply Chain 52

Supply Chain Data Warehouse Finance Financial Analysis 52

Data Pine

JULY 1, 2020

quintillion bytes of data every single day, with 90% of the world’s digital insights generated in the last two years alone, according to Forbes. In this day and age, a failure to leverage digital data to your advantage could prove disastrous to your business – it’s akin to walking down a busy street wearing a blindfold.

Retail 104

Retail Healthcare Visualization Business Intelligence 104

Astera

JUNE 14, 2023

This enables users to explore relationships and correlations between different sets of data. Use in analytical systems: OLAP systems are commonly used in analytical systems such as business intelligence (BI) tools , data warehousing, and decision support systems. They have a denormalized data structure.

Supply Chain 40

Supply Chain Data Warehouse Real-time Data Financial Analysis 40

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. This aggregation type is preferable to conduct trend or pattern analysis over time.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

MAY 30, 2024

Financial Analysis Data analytics helps firms make financial decisions by predicting future trends, analyzing investment risks, and detecting fraudulent activities. Here’s an overview of some key types of data analytics tools and how they assist businesses in making informed decisions.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52