IoT

Related Topics

Connectivity services Industrial IoT Intelligent edge

Top Articles

Hover to load posts
Real-Time Analytics

Related Topics

Decision Automation Real-Time Decisions Stream Processing Streaming analytics, event processing

Top Articles

Hover to load posts
Artificial Intelligence

Related Topics

AIOps Cognitive Computing Deep Learning Expert Systems Generative AI IBM Watson Machine Learning Natural Language Processing Reasonable AI

Top Articles

Hover to load posts
Big Data

Related Topics

Big data analysis tools Big data architectures Big data platforms Data management

Top Articles

Hover to load posts
Industries

Related Topics

Aviation Energy Entertainment / Digital Media Financial Services Healthcare Manufacturing Retail Sales, marketing Shipping / Postal Smart Cities

Top Articles

Hover to load posts
Use cases

Related Topics

Asset performance, production optimization Compliance and Anti-Fraud Computer-aided diagnosis and bioinformatics Crisis Management Customer Experience Management Energy management Financial analysis IT monitoring Medical diagnostics Network and Application Monitoring

Top Articles

Hover to load posts
Reports

Top Articles

Hover to load posts
Resources

Resource Hubs

Engineering the Real-Time Backbone Our Resources

Featured Resources

Link to Best Practices for Deploying and Scaling Industrial AI

Best Practices for Deploying and Scaling Industrial AI

Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.

Link to The Center for Adaptive Edge Intelligence

The Center for Adaptive Edge Intelligence

Adaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.

Link to The Value of Vehicle Electrification

The Value of Vehicle Electrification

Electric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.

Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Digital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.

Link to Smart Manufacturing for Automotive

Smart Manufacturing for Automotive

Leading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.

Link to Center for Data Pipeline Automation

Center for Data Pipeline Automation

As businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.

Link to Center for Automated Integration

Center for Automated Integration

The goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.

Link to Continuous Intelligence: Insights

Continuous Intelligence: Insights

Digital transformation requires continuous intelligence (CI). Today's digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
Blockchain Blockchain
Cloud technologies Cloud technologies
Data integration tools Data integration tools
Decision management Decision management
In-memory computing In-memory computing
Intelligent integration and BPM Intelligent integration and BPM
IIC Testbeds IIC Testbeds
Videos Videos
Events Events

Special Reports

SHARE

Use Cases for Real-Time Streaming Analytics (white paper)

Use Cases for Real-Time Streaming Analytics (white paper)

streaming analytics use cases

Where’s the business value in real-time streaming analytics?

Written By

RTInsights Team

Mar 28, 2016

3 minute read

Technology now exists to capture real-time data from a wide variety of sources, including Internet of Things devices, mobile phones, web browsing, and financial transactions. But that data remains largely unused by most businesses.

Real-time streaming analytics looks to harness value from that data. In this white paper from Impetus Technologies, you will learn:

Why real-time streaming analytics is necessary.
Key use cases for real-time streaming analytics for industry verticals.
Horizontal applications such as customer experience, IoT analytics, and marketing.

First Name *
Last Name *
Company *
Job Title *
Business Phone *
Business Email *
State *
Country *
By clicking the button below, you agree to RTInsights’ Privacy Policy.

Want more? Check out our most-read content:

Intelligent Business Operations: White Paper
7 Essential Elements in a Real-Time Streaming Analytics Platform
Fog Computing: A Reference Architecture
Why Edge Computing Is Here to Stay: Five Use Cases
A Business Intelligence Strategy for Real-Time Analytics
Why IoT Edge Computing Is Crucial

Liked this article? Share it with your colleagues!

RTInsights Team

Recommended for you...

Leveraging Connectivity and Predictive Analytics to Proactively Service Products in the Field (Special Report)

Leveraging Connectivity and Predictive Analytics to Proactively Service Products in the Field (Special Report)

Companies that develop or support products in the field need to transition from reactive to predictive maintenance and service. Such a transition is possible using ubiquitous connectivity and predictive analytics on machine data. Here’s how.

RTInsights Team

May 17, 2021

The Four Key Benefits of Edge Computing (eBook)

The Four Key Benefits of Edge Computing (eBook)

Although edge architectures differ fundamentally from conventional cloud and on-premises environments, edge isn’t an alternative to traditional infrastructure strategies as much as it is an augmentation of them.

RTInsights Team

Apr 27, 2021

The Power of Personalization: Driving Digital Banking Success (White Paper)

The Power of Personalization: Driving Digital Banking Success (White Paper)

The relationships banks have with their customers can last for decades, but too many banks fail to use the data they have to provide personalized digital banking services.

RTInsights Team

Mar 10, 2021

Modernizing Your Decision Automation Strategy

Decision Automation

Modernizing Your Decision Automation Strategy

Every transaction, order, customer interaction, and internal operation depends on decisions. At a time when businesses are under pressure to improve efficiencies, cut costs, and be more responsive, automating decisions becomes essential. While many businesses have picked off the low-hanging fruit when automating, most need to add more. Specifically, businesses want to automate complex decisions, involving multiple steps, multiple data sources and many rules.

RTInsights Team

Mar 2, 2021

Featured Resources from Cloud Data Insights

The Limits of AI in Financial Advisory Transactions

Artificial intelligence technologies

The Limits of AI in Financial Advisory Transactions

Those who reinvest the time they save in higher-quality human judgment of AI output will gain the benefits without the regulatory and reputational risks that can result from a lack of precaution.

Davis Householder

Jun 11, 2026

Who Watches the Watchmen?

Artificial intelligence technologies

Who Watches the Watchmen?

How do you watch your agents? It requires an orchestrator that captures decisions, inputs, and outputs in real time, creating a clear, traceable record of execution.

Emmanuel Darras

Jun 10, 2026

How Service Integration Unlocks Real-Time Enterprise Value

Real-Time Decisions

How Service Integration Unlocks Real-Time Enterprise Value

Managed services are no longer just a support function. They are a strategic engine for innovation. When combined with real-time intelligence, they evolve from static service models into adaptive, insight-driven operations that are faster, more resilient, and more cost-efficient.

Jun 9, 2026

How Today’s Agentic AI Changes the Requirements for Enterprise Data Environments

Artificial intelligence technologies

How Today’s Agentic AI Changes the Requirements for Enterprise Data Environments

The rise of agentic AI does not make enterprise data infrastructure less important. It makes it more strategic. As AI systems move from assistance to action, the database becomes one of the most important control points for production deployment.

Jun 9, 2026

Analysis and market insights on real-time analytics including Big Data, the IoT, and cognitive computing. Business use cases and technologies are discussed.

Company

About us Contact us Our Team Engage with Us Write for us Brain Trust

Categories

IoT Real-Time Analytics Artificial Intelligence Big Data Industries Use cases Reports Resources

Property of TechnologyAdvice. © 2026 TechnologyAdvice. All Rights Reserved

Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.

Terms of Service Privacy Policy California - Do Not Sell My Information