Cloudera

JUNE 17, 2022

In the second blog of the Universal Data Distribution blog series , we explored how Cloudera DataFlow for the Public Cloud (CDF-PC) can help you implement use cases like data lakehouse and data warehouse ingest, cybersecurity, and log optimization, as well as IoT and streaming data collection.

Cost-Benefit 94

Cost-Benefit IoT Data Warehouse Manufacturing 94

FineReport

APRIL 9, 2021

However, companies operation generates numerous and complicated data every day, beyond traditional manual reporting capacity. The underlying idea is to find the differences between goals and actual results by comparing corresponding metrics. Data Collection and Report Drawing. Feel free to download and use.

Reporting 98

Reporting Finance Dashboards Enterprise 98

CIO Business Intelligence

AUGUST 15, 2023

And it yields multiple business metric improvements, such as limiting surplus inventory. Oshkosh tracks manufacturing assets with IoT Organization: Oshkosh Corp. Project: Improving Manufacturing Efficiency through IoT Enabled Asset Tracking IT Leader: Anu Khare, SVP & CIO Oshkosh Corp., Anu Khare / Oshkosh Corp.

IT 98

IT Manufacturing IoT Cost-Benefit 98

AWS Big Data

MAY 16, 2023

In this first post of the series, we show you how data collected from smart sensors is used for building automated dashboards using QuickSight to help distribution network engineers manage, maintain and troubleshoot smart sensors and perform advanced analytics to support business decision making.

Dashboards 85

Dashboards Statistics Data Collection Business Intelligence 85

IBM Big Data Hub

FEBRUARY 7, 2024

This can be quantified by measuring metrics like tree cover, habitat integrity and number of species, and is guided by sustainable development principles. .” Similar to “carbon neutral” in the context of emissions, nature positive refers to stopping, avoiding and reversing environmental destruction.

Reporting 88

Reporting Internet of Things Cost-Benefit Data-driven 88

IBM Big Data Hub

JULY 5, 2023

Today, asset management software helps companies maintain the most important information about their assets—such as condition, maintenance and repair history, location, licensing and performance metrics—more accurately and efficiently. What follows are some asset lifecycle management best practices that companies rely on.

Strategy 52

Strategy Management IoT Cost-Benefit 52

IBM Big Data Hub

FEBRUARY 23, 2024

The technology’s ability to adapt and learn from interactions further refines customer support metrics, including response time, accuracy of information provided, customer satisfaction and problem-resolution efficiency. Marketing and sales: Conversational AI has become an invaluable tool for data collection.

Enterprise 95

Enterprise Interactive Data-driven Key Performance Indicator 95

CIO Business Intelligence

JUNE 7, 2023

Bhagavathula also cites the development of several machine learning models that evaluate “customer churn metrics” for how engaged fans are with the NBA’s products and a “game recommendation model” that relies on fan behavior and usage of the application to improve the personalization and customization for each fan.

Digital Transformation 52

Digital Transformation Recreation/Entertainment Machine Learning Data Lake 52

Alation

AUGUST 2, 2022

Establishing and monitoring metrics that validate improvements. Delivering a smart, automated network with advances in 5G and internet of things (IoT) technology. Internally, Spark was able to democratize data, creating a single source of customer data by integrating Microsoft Azure, Snowflake, and Alation’s data catalog.

Cost-Benefit 52

Cost-Benefit Metrics Strategy Data Lake 52

AWS Big Data

FEBRUARY 21, 2023

Regardless of the division or use case it is related to, dimensional data models can be used to store data obtained from tracking various processes like patient encounters, provider practice metrics, aftercare surveys, and more. What is a hybrid model?

Data Warehouse 70

Data Warehouse Data Lake Cost-Benefit Metadata 70

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise. What metrics are used to evaluate success?

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Jet Global

MAY 9, 2024

Real-Time Analytics Pipelines : These pipelines process and analyze data in real-time or near-real-time to support decision-making in applications such as fraud detection, monitoring IoT devices, and providing personalized recommendations. As data flows into the pipeline, it is processed in real-time or near-real-time.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

CIO Business Intelligence

NOVEMBER 11, 2024

Being a manufacturing organization, industrial automation tech is at the heart of our digitization strategy – IOT, AI/ML, RPA, Robotics, intelligent automation, and eventually collating all data in a Data Warehouse to drive analytical insights. Are there ways to make educated assumptions in situations when data is missing?

Reporting 96

Reporting IoT Data Collection Data Quality 96

CIO Business Intelligence

OCTOBER 30, 2024

Some are large, spread over more than two square miles, and they run on manual processes that require significant time on data entry and data collection across several non-integrated systems. We take a use-case focus to innovation, so we’re not implementing a digital twin here or some IoT there.

Digital Transformation 118

Digital Transformation Manufacturing IT Data Lake 118