Astera

DECEMBER 21, 2022

The 2020 Global State of Enterprise Analytics report reveals that 59% of organizations are moving forward with the use of advanced and predictive analytics. For this reason, most organizations today are creating cloud data warehouse s to get a holistic view of their data and extract key insights quicker.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Smart Data Collective

NOVEMBER 18, 2020

Every Data Scientist needs to know Data Mining as well, but about this moment we will talk a bit later. Where to Use Data Science? Where to Use Data Mining? Data Mining Techniques and Data Visualization. Data Mining is an important research process. Practical experience.

Data Mining 357

Data Mining Big Data Artificial Intelligence Data Warehouse 357

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

OCTOBER 27, 2023

What is a Cloud Data Warehouse? Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. A cloud data warehouse is critical to make quick, data-driven decisions.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Sisense

MAY 31, 2020

Every customer has something to teach us about how companies use data to transform a business or change lives. “We knew our journey with predictive analytics and sentiment analysis was going to be a gradual progression that would eventually help us understand and better serve our customers.

Data Warehouse 98

Data Warehouse Innovation Predictive Analytics Vision 98

Data Pine

MARCH 31, 2022

This could involve anything from learning SQL to buying some textbooks on data warehouses. A data scientist has a similar role as the BI analyst, however, they do different things. While analysts focus on historical data to understand current business performance, scientists focus more on data modeling and prescriptive analysis.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

The BAWorld

NOVEMBER 22, 2021

Data Modeling. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Conceptual Data Model. Logical Data Model : It is an abstraction of CDM. Data Profiling.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98