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Description
Deep.BI empowers enterprises in sectors such as Media, Insurance, E-commerce, and Banking to boost their revenues by predicting distinct user behaviors and automating processes that convert these users into paying customers while ensuring their retention. This predictive customer data platform features a real-time user scoring system supported by Deep.BI's advanced enterprise data warehouse. By utilizing this technology, digital businesses and platforms can enhance their offerings, content, and distribution strategies. The platform gathers comprehensive data regarding product utilization and content engagement, delivering immediate, actionable insights. These insights are produced within moments via the Deep.Conveyor data pipeline and can be analyzed using the Deep.Explorer business intelligence platform, which is further enhanced by the Deep.Score event scoring engine that employs tailored AI algorithms specific to your requirements. Additionally, the insights are primed for automation through the high-speed API and AI model serving capabilities of Deep.Conductor, ensuring rapid and efficient implementation. Ultimately, Deep.BI provides a holistic approach to understanding and optimizing user interactions across various digital platforms.
Description
Rakam offers tailored reporting capabilities for various teams, ensuring that no group is confined to a single interface. It seamlessly converts the inquiries made in its user interface into SQL queries, simplifying the process for end-users. Importantly, Rakam does not transfer any data into your data warehouse; rather, it operates under the assumption that all necessary data is already stored within, allowing for analysis directly from the data warehouse, your definitive source of truth. For further insights on this subject, check out our blog post. Rakam also integrates with dbt core, serving as the data modeling layer but does not execute your dbt transformations. Instead, it connects to your GIT repository to automatically synchronize your dbt models. Additionally, Rakam can generate incremental dbt models, enhancing query performance and minimizing database costs. By defining aggregates in your dbt resource files, Rakam automatically creates roll-up models, simplifying the process for end-users while ensuring efficient data handling. This streamlined approach empowers teams to focus on insights rather than the technical intricacies of data analysis.
API Access
Has API
API Access
Has API
Integrations
MySQL
PostgreSQL
Amazon Redshift
Amazon Web Services (AWS)
Apache Cassandra
Apache Flink
Apache Kafka
Apache Spark
Bitbucket
Git
Integrations
MySQL
PostgreSQL
Amazon Redshift
Amazon Web Services (AWS)
Apache Cassandra
Apache Flink
Apache Kafka
Apache Spark
Bitbucket
Git
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$25 per user per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Deep BI
Founded
2015
Country
United States
Website
www.deep.bi/
Vendor Details
Company Name
Rakam
Founded
2016
Country
United States
Website
rakam.io
Product Features
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
Product Features
Product Analytics
Attribution
Automatic Data Capture
Churn Reporting
Customer Feedback Collection
Customer Guidance
Customer Journey Analytics
Data Export
Data History Retention
Data Labeling
Product Engagement Scoring
Real-Time Data Analysis
Touchpoint Analytics
User Segmentation