Alation

OCTOBER 26, 2021

In contrast, only 36% of organizations with a weak data culture can say the same. When an enterprise ignores or cannot use their data, they suffer the consequences. These include missing out on new revenue opportunities, poorly forecasting performance, and making bad investments. Start Today with the Alation Data Catalog.

Finance 52

Finance Data Transformation Enterprise Metrics 52

AWS Big Data

APRIL 26, 2023

The main requirement is to have an automated, transparent, and long-term semiconductor demand forecast. Additionally, this forecasting system needs to provide data enrichment steps including byproducts, serve as the master data around the semiconductor management, and enable further use cases at the BMW Group.

Forecasting 123

Forecasting Manufacturing Data Lake Big Data 123

CIO Business Intelligence

FEBRUARY 16, 2023

But to augment its various businesses with ML and AI, Iyengar’s team first had to break down data silos within the organization and transform the company’s data operations. Digitizing was our first stake at the table in our data journey,” he says.

Unstructured Data 103

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 103

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? It is frequently used for economic and sales forecasting.

Data Analytics 132

Data Analytics Diagnostic Analytics Management Analytics 132

AWS Big Data

NOVEMBER 15, 2023

It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer. The difference lies in when and where data transformation takes place.

Dashboards 96

Dashboards Analytics Metadata Data Warehouse 96

AWS Big Data

OCTOBER 11, 2023

Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics. In addition, you can use ML in QuickSight to gain ML-driven insights, detect pricing anomalies, and create forecasts based on historical files.

Visualization 97

Visualization Dashboards Data-driven Gap analysis 97