Remove Analytics Remove Cost-Benefit Remove Data Enablement Remove Technology
article thumbnail

10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

Big Data 275
article thumbnail

7 Ways Data Analytics Is Boosting the ROI Of Digital Marketing

Smart Data Collective

They make up an aspect of marketing focused on using the internet and cloud-based technology to promote brands. But driving sales through the maximization of profit and minimization of cost is impossible without data analytics. Personalization is among the prime drivers of digital marketing, thanks to data analytics.

ROI 116
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

How Encored Technologies built serverless event-driven data pipelines with AWS

AWS Big Data

This post is a guest post co-written with SeonJeong Lee, JaeRyun Yim, and HyeonSeok Yang from Encored Technologies. Encored Technologies (Encored) is an energy IT company in Korea that helps their customers generate higher revenue and reduce operational costs in renewable energy industries by providing various AI-based solutions.

article thumbnail

Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

This article focuses on how these advancements are paving the way for data integration for the years to come in this ever-so-dynamic technological era. AI-powered data integration One of the most promising advancements in data integration is the integration of artificial intelligence (AI) and machine learning (ML) technologies.

article thumbnail

Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. .

Analytics 111
article thumbnail

Centralize Your Data Processes With a DataOps Process Hub

DataKitchen

The requirement to integrate enormous quantities and varieties of data coupled with extreme pressure on analytics cycle time has driven the pharmaceutical industry to lead in DataOps adoption. The bottom line is how to attain analytic agility? It often takes months to progress from a data lake to the final delivery of insights.

article thumbnail

The Failed Promises of Digital Transformation and What to Do About It

Ontotext

These failures are at least partly due to the absence of graph technologies, at the center of those transformations, allowing companies to “connect the dots” across their data to drive optimal outcomes. Click To Tweet What Are Graph Technologies And Why Should C-level Executives Care? And even industry disruption.