Sold by: Emite Advanced Analytics platform
Deployed on AWS
Transform your contact center into a strategic asset with emites cloud CX analytics platform offering actionable real-time and historical insights superior integrations security and performance.
Overview
Emite delivers innovative cloud data management and advanced CX analytics in a single platform offering end to end CX management for faster time to value. Emite enables agile integrations consolidating CX data from disparate systems and channels to deliver actionable insights. Emite enhances contact centre value by uniting real-time and historical data with broader business intelligence. Emites analytics empower teams to adapt CX intelligence to unique business needs delivering secure insight sharing across the organization. Emite stands out for its integration security customization and performance driving high performance outcomes and elevating contact centres from cost centres to strategic value generators.
Highlights
- End-to-End Data Management - Agile Integrations
- Data Augmentation and Visualization - Custom KPI and Data Visualization in Real-Time and Historical Trending.
- Communicating Data Insights - Report Automation (scheduled) Wallboards and Dashboard Sharing
Details
Delivery method
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month | Overage cost |
|---|---|---|---|
3333CH_perMo_PerTerm | 3333 CH per Mo. per term (inbound, outbound and hold minutes) | $1,400.00 |
Dimension | Cost/unit |
|---|---|
Cost per CHAT Message used during month | $0.001 |
One Time Setup Fee (Quickstart) for deployment | $6,900.00 |
Vendor refund policy
While we have a "no refunds" policy for services, we are willing to discuss cancellation. Cancellation requires written notice to our support at emitesupport@prophecyinternational.com . We should respond to your request within 48 business hours.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Emite Advanced Analytics platform
By TASKE Technology
By Talkdesk
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Data Integration
Consolidates customer experience data from multiple systems and communication channels using agile integration techniques
Real-Time Analytics
Provides real-time and historical data visualization with custom key performance indicators and trend analysis
Data Visualization
Offers advanced dashboard and wallboard capabilities for comprehensive data representation and insight sharing
Insight Management
Enables secure data insight distribution across organizational departments with customizable reporting mechanisms
Cloud Platform Architecture
Delivers cloud-based data management and analytics platform with scalable and performance-optimized infrastructure
Real-Time Monitoring
Provides second-by-second tracking of contact center metrics across multiple channels with comprehensive performance visualization
Contact Flow Analysis
Enables detailed tracing of customer interaction paths through contact center, identifying routing patterns and potential service bottlenecks
Lex Bot Performance Evaluation
Analyzes Lex bot interactions by examining word usage, intent matching accuracy, and slot filling success rates
Omnichannel Interaction Tracking
Supports comprehensive monitoring and reporting across different communication channels with detailed performance metrics
Advanced Contact Search
Offers powerful visual search capabilities for contact records with cradle-to-grave representation of customer interactions
Cloud Contact Center Platform
AI-powered cloud platform with native applications for omnichannel engagement, customer experience analytics, and workforce management
AI-Powered Agent Assistance
Includes virtual agents, agent assist capabilities, AI trainer, and generative AI solutions for enhanced customer service interactions
Omnichannel Engagement
Supports multiple communication channels with streamlined workflows and comprehensive customer context for agents
Integration Capabilities
Provides over 70 out-of-the-box integrations with a shared data model, reporting, dashboards, and workflow automation
Vertical-Specific Solutions
Offers purpose-built industry solutions with specialized workflows and core system integrations for Financial Services, Healthcare, and Retail sectors
Standard contract
No
No
No
Customer reviews
0 ratings
0 AWS reviews
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30 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Robert K.
Prophecy and Samsara Together
Reviewed on Apr 29, 2025
Review provided by G2
What do you like best about the product?
The load completion board is easy to understand from a visual glance
What do you dislike about the product?
It can be encumbering to find a process because of the different windows that are needed instead of being a more direct pathway
What problems is the product solving and how is that benefiting you?
It is helping our team optimize route creation times which allows synergy's to be created within other areas of opportunity
Robert K.
Get's the job done the Old School Way
Reviewed on Apr 08, 2025
Review provided by G2
What do you like best about the product?
Prophesy helps us manage our fleet of 40 trucks. We use it to dispatch and route plan.
What do you dislike about the product?
Although very useful and essential, Prophecy appears to be outdated and a lot of the advanced features are difficult to figure out and often require us to reach out to support.
What problems is the product solving and how is that benefiting you?
Prophecy helps us manage our loads from the time we receive them to the time that we deliver them. We use it to help plan trucks, and we use it to collect data to bill customers.
Gaurav M.
Prohecy - The best no code etl product
Reviewed on May 14, 2024
Review provided by G2
What do you like best about the product?
I really like the niche and elegant ui of prohecy, via prohecy we can connect the dots between various soruces and destination, it provides a various number of transformation like join,split, api enrichment etc.. Apart from this,I really like the logging feature as well. It's column lineage feature set it apart from other etl platform
What do you dislike about the product?
Sometimes it is difficult to identify root cause of pipeline feature due to sudded restarts loop of a job, so we need to deep dive into pipeline logs to find it. Also some topics in documentation can have more real life examples to enable user to use and apply them in the pipeline
What problems is the product solving and how is that benefiting you?
With prophecy and databrick integration, we are able to schedule 1k+ databricks jobs using prophecy scheduler. Our jobs consists of bronze to silver etl, qc jobs, gold flatten jobs and some realtime spark streaming jobs as well. With prohecy we are able to properly utilize databricks resource. It provides a lot of insights of data using custom transformation which enable our downstream team to quickly research on user trend on our platform which ultimately increase user churn rate on our platform
Information Technology and Services
Prophecy Feedback
Reviewed on Mar 07, 2024
Review provided by G2
What do you like best about the product?
It provides easy to use visual editor, It generates open source format code, No vednor lockin, Automated release management.
What do you dislike about the product?
It doesnt works with Serverless spark clusters yet.
What problems is the product solving and how is that benefiting you?
Prophecy visual editor makes it very easy to write ETL jobs and test them.
Insurance
less code and user friendly
Reviewed on Dec 22, 2023
Review provided by G2
What do you like best about the product?
good tool for begineers in programming.
What do you dislike about the product?
recommendations in programming can be improved.
What problems is the product solving and how is that benefiting you?
Abinitio migration to open source Spark.