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Description
Speeding up the process of gaining insights and removing obstacles for data analysts is crucial. With the help of intelligent automation in the data stack, you can extract insights from your data much faster—up to ten times quicker—thanks to AI innovations. Originally developed at Stanford's AI lab, this cutting-edge intelligence for today’s data stack is now accessible for your organization. You can leverage natural language to derive value from your disorganized, intricate, and isolated data within just minutes. Simply instruct your data on what you want to achieve, and it will promptly produce the necessary code for execution. This automation is highly customizable, tailored to the unique complexities of your organization rather than relying on generic templates. It empowers individuals to securely automate data-heavy workflows on the modern data stack, alleviating the burden on data engineers from a never-ending queue of requests. Experience the ability to reach insights in mere minutes instead of waiting months, with solutions that are specifically crafted and optimized for your organization’s requirements. Moreover, it integrates seamlessly with various upstream and downstream tools such as Snowflake, Databricks, Redshift, and BigQuery, all while being built on dbt, ensuring a comprehensive approach to data management. This innovative solution not only enhances efficiency but also promotes a culture of data-driven decision-making across all levels of your enterprise.
Description
Effortlessly consolidate diverse data on a large scale with precision and dependability using Switchboard, a data engineering automation platform tailored for business teams. Gain access to timely insights and reliable forecasts without the hassle of outdated manual reports or unreliable pivot tables that fail to grow with your needs. In a no-code environment, you can directly extract and reshape data sources into the necessary formats, significantly decreasing your reliance on engineering resources. With automatic monitoring and backfilling, issues like API outages, faulty schemas, and absent data become relics of the past. This platform isn't just a basic API; it's a comprehensive ecosystem filled with adaptable pre-built connectors that actively convert raw data into a valuable strategic asset. Our expert team, comprised of individuals with experience in data teams at prestigious companies like Google and Facebook, has streamlined these best practices to enhance your data capabilities. With a data engineering automation platform designed to support authoring and workflow processes that can efficiently manage terabytes of data, you can elevate your organization's data handling to new heights. By embracing this innovative solution, your business can truly harness the power of data to drive informed decisions and foster growth.
API Access
Has API
API Access
Has API
Integrations
Amazon Redshift
Google Cloud BigQuery
Snowflake
Databricks Data Intelligence Platform
Looker
Microsoft Power BI
Tableau
Integrations
Amazon Redshift
Google Cloud BigQuery
Snowflake
Databricks Data Intelligence Platform
Looker
Microsoft Power BI
Tableau
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Numbers Station
Country
United States
Website
www.numbersstation.ai/
Vendor Details
Company Name
Switchboard
Country
United States
Website
www.switchboard-software.com
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control