DataKitchen

NOVEMBER 5, 2024

Data is typically organized into project-specific schemas optimized for business intelligence (BI) applications, advanced analytics, and machine learning. Whether it’s customer analytics, product quality assessments, or inventory insights, the Gold layer is tailored to support specific analytical use cases.

Data Quality 195

Data Quality Testing Metrics Reporting 195

Corinium

JUNE 6, 2019

Regulations and compliance requirements, especially around pricing, risk selection, etc., Moreover, rapid and full adoption of analytics insights can hit speed bumps due to change resistance in the ways processes are managed and decisions are made. What differentiates Fractal Analytics?

Analytics 250

Analytics Insurance Forecasting Deep Learning 250

Rocket-Powered Data Science

JULY 14, 2023

Analytics products represent the user-facing and client-facing derived value from an organization’s data stores. Data scientists work with business users to define and learn the rules by which analytics models produce high-accuracy early warnings. (c) These may not be high risk.

Analytics 166

Analytics Internet of Things Data Science Prescriptive Analytics 166

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. Industry Transformation: Telkomsel — Ingesting 25TB of data daily to provide advanced customer analytics in real-time .

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

Cloudera

AUGUST 28, 2018

Brian Buntz , Content Director, Iot Institute, Informa, @brian_buntz. Once again, thank you to the global team of 25 judges who selected the Data Impact Award finalists: Tony Baer , Principal Analyst, Ovum, @TonyBaer. Mike Barlow , Managing Partner, Cumulus Partners. Bozman , VP and Principal Analyst, Hurwitz & Associates.

Machine Learning 65

Machine Learning Digital Transformation Consulting IoT 65

Cloudera

MARCH 6, 2018

This leads to extra cost, effort, and risk to stitch together a sub-optimal platform for multi-disciplinary, cloud-based analytics applications. Altus SDX enables companies to more easily build and deploy high-value applications for customer analytics, IoT, cyber-security, and more.

Analytics 40

Analytics Metadata Recreation/Entertainment Big Data 40