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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Access data from any location, even within a vast array of diverse environments. The most effective method to boost acquisition and retention is through the enrichment of data and models. By leveraging machine learning, new insights can be uncovered by integrating proprietary models, such as propensity models, with data in a secure manner, which enhances customer profiles and models while allowing for rapid scalability. Enriching data alone is insufficient; your team needs to transition smoothly from insights to actionable strategies. Automate the segmentation of audiences and deploy your campaigns instantly across various channels. Make informed targeting decisions to optimize budget utilization and reduce churn rates. Understand the optimal timing and locations for targeting efforts. Equip yourself with the necessary tools to act on data in real-time. Tracking the complete customer journey, along with the various data types involved, has always posed significant difficulties. With the increasing stringency of privacy regulations and the growing distribution of data, it is now more crucial than ever to ensure secure and straightforward access to those intent signals for effective decision-making, which will ultimately enhance overall operational efficiency.

Description

The HyperSense platform is a cloud-native, SaaS-based augmented analytics solution designed to assist enterprises in making quicker and more informed decisions by utilizing Artificial Intelligence (AI) throughout the data value chain. It seamlessly integrates data from various sources, generates insights by developing, interpreting, and refining AI models, and disseminates these insights organization-wide. Acting as a comprehensive solution, HyperSense accelerates decision-making in telecom enterprises through its self-service AI capabilities. With its no-code interface, the platform is user-friendly and quick to set up, enabling business users, domain specialists, and data scientists to collaboratively create and manage AI models across the entire organization. This innovative approach not only enhances operational efficiency but also fosters a data-driven culture in the workplace.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
Databricks Yes 
Facebook Yes 
Google Yes 
Jupyter Notebook Yes 
LiveRamp Clean Room Yes 
Microsoft Azure Yes 

Integrations

Amazon Web Services (AWS) No 
Databricks No 
Facebook No 
Google No 
Jupyter Notebook No 
LiveRamp Clean Room No 
Microsoft Azure No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Habu

Country

United States

Website

habu.com

Vendor Details

Company Name

Subex

Founded

1992

Country

India

Website

hypersense.subex.com

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Data Preparation

Collaboration Tools No 
Data Access No 
Data Blending No 
Data Cleansing No 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation No 
Machine Learning No 
Visual User Interface No 

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

Alternatives

Alternatives

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