Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

Tableau 92

Tableau Data Lakes Data Warehouse SQL 92

Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

Tableau 52

Tableau Data Lakes Data Warehouse SQL 52

Dataconomy

SEPTEMBER 4, 2023

Leveraging third-party data : Incorporating external data sources, such as weather, social media trends, and market reports, enriches your analysis, providing a more comprehensive understanding of customer behavior and market dynamics. AI and augmented analytics assist users in navigating complex data sets, offering valuable insights.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Tableau

APRIL 18, 2022

Gain useful insights from data stored across different platforms and data sources, such as data warehouses, data lakes, and CRMs. Increase understanding of data sets on hand for data integration or data analysis. Augmented analytics. Virtualization and discovery. Orchestration.

Tableau 99

Tableau Data Quality Analytics Analytics 99

Tableau

APRIL 18, 2022

Gain useful insights from data stored across different platforms and data sources, such as data warehouses, data lakes, and CRMs. Increase understanding of data sets on hand for data integration or data analysis. Augmented analytics. Virtualization and discovery. Orchestration.

Tableau 97

Tableau Data Quality Analytics Analytics 97

Alation

AUGUST 26, 2021

Augmented Analytics. DI empowers analysts to apply augmented analytics to applications, supporting predictive and prescriptive analytics use cases. Some examples of goals and accompanying use cases include: The business wants to make better use of customer data. Does it govern the data as it migrates?

Data Governance 64

Data Governance ML ML Artificial Intelligence 64