Real Time Analytics
Real-time analytics is the discipline that applies logic and mathematics to data to provide insights for making better decisions quickly. For some use cases, real time simply means the analytics is completed within a few seconds or minutes after the arrival of new data.
What is Real-Time Data
Real-time data is information that is delivered immediately after collection. There is no delay in the timeliness of the information provided. Real-time data refers to data that is presented as it is obtained.
Get actionable insights from real-time data with the help of artificial intelligence (AI), machine learning (ML) and automation, ultimately improving data-driven decision making.
The Power of Real-Time Data
Data Improve Campaign Performance
Instant access to data means you can make informed adjustments to marketing campaigns based on consumer actions. Instead of waiting for batch data that may be out of date by the time it arrives, you'll know immediately what works and what doesn't.
Build better business efficiency
In addition to providing information quickly, real-time data management programs provide reports that are condensed and ready for analysis. The more your business can rely on these programs to instantly transform raw data into actionable statistics, the less manual data reporting your employees will have to do themselves.
Track your competitors with ease
Real-time data can also help you better in tracking your competition. Alerts can be set up to notify your teams when competitors adjust store hours, lower prices, launch new promotions, and make other types of strategic and operational changes.
Create high-converting customer profiles
When a customer data platform integrates with real-time data, segments are automatically updated with every new behavior and action. This drives real-time leads and creates highly targeted buying personas that lead to paying customers.