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

SHARE

Gartner Report: Moving Analytics to Real Time

Gartner Report: Moving Analytics to Real Time

How much speed does your business need?

Written By

RTInsights Team

Jan 31, 2017

3 minute read

Businesses mean different things when they say they need “real-time analytics.” It could mean they need to present a next-best offer to a customer, determine if a credit card transaction is valid, or immediately re-book customers whose flights are delayed.

But it can also mean running analysis against historical data to get an answer in real-time.

In this special report from Gartner by Roy Schulte, you will learn:

Different ways of thinking about real-time analytics.
How to match the speed of analytics to the business decision.
The difference between automated, operational, tactical, and strategic decisions, and where real-time decisions can be made.

Fill out the form to access the report. To learn more about contemporary analytics approaches, registration for the Gartner Data and Analytics Summit 2017, March 6 – 9, in Grapevine, TX is now open.

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

Gartner takes your privacy seriously – By clicking on the View Research button you are signing up to receive information for Gartner Events. Your personal data will be protected in accordance with Gartner’s strict privacy policies and will only be used to provide information for those Gartner Events related to your interests. Gartner requests your consent so that we may communicate relevant information to you via email, telephone, invitations, and other digital notifications. If at any time you would like to withdraw your consent or update your profile and preferences, you can do so by clicking here or by contacting us directly.

© 2017 Gartner, Inc. and/or its affiliates. All rights reserved.

RTInsights Team

Recommended for you...

Navigating the Data Immediacy Readiness Scale

Big data architectures

Navigating the Data Immediacy Readiness Scale

Data immediacy is not a buzzword; it’s a capability that separates leaders from laggards in the modern enterprise. The Data Immediacy Readiness Scale provides both a diagnostic and a roadmap for modern organizations.

Salvatore Salamone

May 13, 2025

How Smart Technologies Are Reshaping the Sporting Goods Industry

How Smart Technologies Are Reshaping the Sporting Goods Industry

As innovative technologies redefine the sporting goods industry, companies that hesitate risk falling behind more agile, digitally empowered competitors.

Salvatore Salamone

May 1, 2025

Architectural Elements of a Real-Time Visual Intelligence System

Internet of Things

Architectural Elements of a Real-Time Visual Intelligence System

Building a real-time visual intelligence system requires the tight integration of multiple architectural elements, including those that perform edge processing, visual analytics, and more.

Salvatore Salamone

Apr 15, 2025

Multimodal AI in Trading is a Competitive Differentiator

Artificial intelligence technologies

Multimodal AI in Trading is a Competitive Differentiator

As AI continues to transform capital markets, the importance of multimodal data integration will only increase. The competitive advantage will increasingly shift to firms that can not only integrate diverse signals but do so with minimal latency and maximum accuracy.

Dinesh Chandrasekhar

Mar 10, 2025

Featured Resources from Cloud Data Insights

Databases on Kubernetes: How “Hell No” Quietly Became a Pragmatic Choice

Databases on Kubernetes: How “Hell No” Quietly Became a Pragmatic Choice

Kubernetes offers a consistent operational model across environments while avoiding dependence on proprietary platforms. In that context, running databases on Kubernetes is part of a broader shift: enterprises building cloud-native experiences without surrendering control.

Jun 18, 2026

The Hidden Cost of AI Infrastructure Downtime

Artificial intelligence technologies

The Hidden Cost of AI Infrastructure Downtime

As AI workloads spread across distributed edge environments, the old assumption that the network will simply be there is becoming an opening for organizations willing to think differently about resilience. The stakes are high, and the opportunity is real.

Jun 17, 2026

Navigating the AI Bubble Requires Discipline and Customer Focus

Artificial intelligence technologies

Navigating the AI Bubble Requires Discipline and Customer Focus

The most important strategic decision infrastructure companies face in 2026 is not which AI narrative to adopt. It is whether they have the discipline to stay focused on solving real problems for real customers, even when the market is rewarding story over substance.

Jun 16, 2026

The Next AI Bottleneck is not the Model. It is Real-Time Application Traffic.

Real-Time Decisions

The Next AI Bottleneck is not the Model. It is Real-Time Application Traffic.

The real difference between a promising AI pilot and a reliable production workflow is often in the real-time application traffic that links everything together.

Jun 15, 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