Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Yes
API Access
Has API
Yes
Integrations
MySQL
Yes
PostgreSQL
Yes
Amazon Redshift
No
Amazon Web Services (AWS)
Yes
Apache Cassandra
Yes
Apache Druid
Yes
Apache Flink
Yes
Apache Spark
Yes
Bitbucket
Yes
Elastic
Yes
Integrations
MySQL
Yes
PostgreSQL
Yes
Amazon Redshift
Yes
Amazon Web Services (AWS)
No
Apache Cassandra
No
Apache Druid
No
Apache Flink
No
Apache Spark
No
Bitbucket
No
Elastic
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$25 per user per month
Free Trial
No
Free Version
Yes
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)
Yes
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
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
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
No
Benchmarking
No
Budgeting & Forecasting
No
Dashboard
No
Data Analysis
No
Key Performance Indicators
No
Natural Language Generation (NLG)
No
Performance Metrics
No
Predictive Analytics
No
Profitability Analysis
No
Strategic Planning
No
Trend / Problem Indicators
No
Visual Analytics
No
Product Features
Product Analytics
Attribution
No
Automatic Data Capture
No
Churn Reporting
No
Customer Feedback Collection
No
Customer Guidance
No
Customer Journey Analytics
No
Data Export
No
Data History Retention
No
Data Labeling
No
Product Engagement Scoring
No
Real-Time Data Analysis
No
Touchpoint Analytics
No
User Segmentation
No