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

AWS Big Data

MARCH 28, 2024

Krones equips their lines with sensors for data collection, which can then be evaluated against rules. Managed Service for Apache Flink manages the underlying Apache Flink components that provide durable application state, metrics, logs, and more, and Kinesis enables you to cost-effectively process streaming data at any scale.

Management 82

Management Broadcasting IoT Metrics 82

Rocket-Powered Data Science

JULY 6, 2021

The Edge-to-Cloud architectures are responding to the growth of IoT sensors and devices everywhere, whose deployments are boosted by 5G capabilities that are now helping to significantly reduce data-to-action latency.

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

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

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 56

Strategy Management IoT Cost-Benefit 56

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 89

Cost-Benefit IoT Data Warehouse Manufacturing 89

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

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 65

Data Warehouse Data Lake Cost-Benefit Modeling 65

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

Rocket-Powered Data Science

JULY 21, 2023

Here are four specific metrics from the report, highlighting the potentially huge enterprise system benefits coming from implementing Splunk’s observability and monitoring products and services: Four times as many leaders who implement observability strategies resolve unplanned downtime in just minutes, not hours or days.

Machine Learning 190

Machine Learning Metrics Reporting Internet of Things 190

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.

Strategy 52

Strategy Cost-Benefit Metrics Data Lake 52

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