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Sweephy

Sweephy manages data and offers no-code machine learning solutions with database integration and a 50% HubSpot discount.
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Sweephy

What is Sweephy?

"Sweephy is a no-code data analytics platform designed to manage data and provide machine learning solutions for various business scenarios. It offers features like no-code data cleaning, data preparation, and specialized development for each business case. The platform integrates with various databases such as MySQL, PostgreSQL, Oracle, Microsoft SQL, Zendesk, and HubSpot. Users can request new models and benefit from an intuitive interface for creating and deploying machine learning models without coding. Sweephy has received positive reviews for its user-friendly approach and powerful data management capabilities. New users, particularly HubSpot users, can avail a 50% discount on Sweephy".

Who created Sweephy?

Sweephy, a no-code data analytics platform, was founded by an undisclosed individual or team. The platform was launched on May 11, 2022, offering services such as data cleaning, data preparation, and machine learning solutions for various business scenarios. Sweephy focuses on specialized developments for each business case and provides on-premise setup for data privacy. It integrates with multiple data sources including MySQL, PostgreSQL, Oracle, Microsoft SQL, Zendesk, and HubSpot, allowing for data analysis, cleansing, and preparation.

What is Sweephy used for?

  • Text Classification
  • Regulatory Compliance Monitoring
  • Regulation compliance monitoring with AI for Fintechs
  • No-code data cleaning
  • No-code machine learning deployment
  • Specialized development for business
  • Machine learning for text classification
  • Lookalike checks feature
  • Data profiling module
  • Requesting new user-requested models
  • Integrating with multiple databases (MySQL, PostgreSQL, Oracle)
  • On-premise setup for data privacy
  • Data cleaning
  • Machine Learning Solutions
  • Data preparation
  • No-code ML deployment
  • Data profiling
  • Text classification using ML
  • Lookalike checks for data analysis
  • Custom ML model development
  • Data preparation for various business scenarios
  • Assistance with regulatory compliance and operational efficiency
  • Custom Compliance Solutions
  • Data-Driven Compliance Insights
  • Integration with MySQL, PostgreSQL, Oracle, Microsoft SQL, Zendesk, HubSpot
  • Specialized Developments for Business Cases
  • On-Premise Data Privacy Setup
  • Custom Compliance Solutions tailored for businesses
  • Data-Driven Compliance Insights for business needs
  • Specialized developments for enhancing compliance and operational efficiency
  • Machine learning services for data analysis and interpretation
  • Text classification for keyword and sentiment-based analytics
  • Lookalike checks for similar records analysis
  • Data profiling for generalized data analytics
  • Custom compliance solutions integration with business processes
  • Data-driven compliance insights generation
  • Data cleaning automation and error reduction
  • Data preparation assistance for efficiency
  • Integration with various databases for data analysis and preparation
  • User-requested model development
  • On-premise setup for data privacy and security

Who is Sweephy for?

  • Data Analysts
  • Data scientists
  • Business analysts
  • Data engineers
  • Machine learning engineers
  • Fintech Professionals
  • Compliance Officers
  • Regulatory compliance experts
  • Regulatory compliance professionals

How to use Sweephy?

To use Sweephy, follow these steps:

  1. Sign Up and Subscribe: Visit the Sweephy website, sign up, and subscribe to access its services.

  2. Explore Main Features: Familiarize yourself with key features like no-code data cleaning, ML deployment, and specialized development for business cases.

  3. Data Integration: Integrate your data sources such as MySQL, PostgreSQL, Oracle, Microsoft SQL, Zendesk, or HubSpot for analysis.

  4. Privacy Setup: Opt for on-premise setup to ensure data privacy and security within your premises.

  5. Utilize ML Solutions: Make use of ML modules like text classification, data profiling, question to Excel, and more for insightful analytics.

  6. Request Custom Models: If needed, request custom ML models to tailor solutions to your specific business requirements.

  7. Enjoy User-Friendly Interface: Benefit from the user-friendly interface to create and deploy ML models without coding.

  8. Access Support Services: Avail support services for data management starting at $500 a month.

  9. Discounts and Updates: New users can enjoy discounts, especially if they are also HubSpot users. Stay tuned for upcoming modules and upgrades.

By following these steps, you can effectively utilize Sweephy's data analytics and machine learning capabilities to enhance your business operations.

Pros
  • No-code data cleaning
  • No-code ML deployment
  • Specialized development for business
  • On-premise setup for privacy
  • Listed on HubSpot
  • Provides new user discount
  • ML for text classification
  • Lookalike checks feature
  • Data profiling module
  • Question to Excel feature
Cons
  • No Salesforce integration
  • Expensive support services
  • Requires external data integration
  • No code interface limits customizability
  • Upcoming modules uncertain
  • Specific tool request turn-around unclear

Sweephy Pricing and plans

Paid plans start at $500/month and include:

  • No-code data cleaning
  • Data preparation
  • Machine learning services
  • On-premise setup for data privacy
  • General visualization
  • Text classification

Sweephy FAQs

What is Sweephy?
Sweephy is a no-code data analytics platform that manages data and provides machine learning solutions.
What are the main features of Sweephy?
Sweephy's main features include no-code data cleaning, data preparation, machine learning services, and specialized development for each business case.
What machine learning solutions does Sweephy offer?
Sweephy offers a range of machine learning solutions including general visualization, text classification, lookalike checks, data profiling, and 'Question to Excel' feature.
What types of data can Sweephy manage and analyze?
Sweephy can manage and analyze data from various sources including MySQL, PostgreSQL, Oracle, Microsoft SQL, Zendesk, and HubSpot.
How can new users get a discount on Sweephy?
New users, especially HubSpot users, can avail a 50% discount on Sweephy.
What services does Sweephy offer for data privacy?
Sweephy ensures data privacy by offering on-premise setup, allowing businesses to keep their data within their premises.
Does Sweephy provide support services?
Yes, Sweephy provides support services starting at a monthly rate of $500.
How user-friendly is Sweephy?
Sweephy is praised for being user-friendly with its intuitive interface that allows users to work with data analytics and machine learning models without coding.

Get started with Sweephy

Sweephy reviews

How would you rate Sweephy?
What’s your thought?
Keiko Tanaka
Keiko Tanaka February 5, 2025

What do you like most about using Sweephy?

I love how user-friendly Sweephy is. The no-code interface has made data management so much simpler for our team. We can quickly prepare data for our machine learning models without needing a programming background.

What do you dislike most about using Sweephy?

While I've had a great experience overall, I wish there were more templates available for specific industries. It would save time in setting up initial models.

What problems does Sweephy help you solve, and how does this benefit you?

Sweephy has streamlined our data cleaning and preparation processes. This allows us to focus on analyzing the results rather than spending hours cleaning data, leading to faster decision-making.

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Mateo Gonzalez
Mateo Gonzalez February 4, 2025

What do you like most about using Sweephy?

The integration with HubSpot is fantastic! The 50% discount made it very affordable for us, and now we can analyze leads more effectively.

What do you dislike most about using Sweephy?

The only downside I’ve noticed is that the platform can be a bit slow when processing very large datasets.

What problems does Sweephy help you solve, and how does this benefit you?

Sweephy helps us manage customer data and apply machine learning without needing extensive coding knowledge. This has increased our productivity and allowed us to focus on strategy.

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Liam O'Sullivan
Liam O'Sullivan February 19, 2025

What do you like most about using Sweephy?

Sweephy's no-code approach is a game changer for our analytics team. We can build models quickly, which is crucial for our fast-paced environment.

What do you dislike most about using Sweephy?

I think the documentation could be improved. Sometimes it’s hard to find specific answers to advanced questions.

What problems does Sweephy help you solve, and how does this benefit you?

It allows us to leverage machine learning for customer segmentation, which has significantly improved our marketing campaigns.

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