Name: Paxata
Rating: 7 (7 reviews)
Author: Paxata

Help Desk

Web and Video Conferencing

Customer Support

Cross-Browser Testing

Functional Testing

Product Analytics

Text Editors

Version Control

Development

Student Management

Education

Business Intelligence (BI)

Business Process Management (BPM)

Collaboration

Corporate Social Responsibility (CSR)

Enterprise Feedback Management

Enterprise Search

Online Notary

Enterprise

Accounting

Hedge Fund

Travel Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Change Management

Cloud Storage

Complex Event Processing

Configuration Management

Converged Network Adapters (CNAs)

Data Center Cooling

Density-Optimized Servers

Firewall

Fraud Detection

Infrastructure Capacity Planning

Integration Platform as a Service (iPaaS)

Mainframe Monitoring

Managed DNS

Network Performance Monitoring

Privileged Access Management

Remote Desktop

SaaS Backup

Software Components

Storage as a Service (STaaS)

System Monitoring

Unified Communications Monitoring

User Virtualization

Website Hosting

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Channel Management

Content Management

Data Cleansing

Digital Experience Intelligence

Email Deliverability

Email Marketing

Marketing Automation

Mobile Analytics

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Waste Management

Professional Services

Customer Relationship Management (CRM)

Government Contracting

Sales Enablement

Sales

Intrusion Detection

Operational Technology (OT) Security

Security

Aviation

Awards Management

Direct Secure Messaging

Loan Servicing

Vertical-Specific

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Users have reported that Paxata is a highly effective tool for data analysis and filtering. The product's ability to process large amounts of data has allowed users to quickly access and analyze necessary information, aiding in informed decision making and improving operational efficiencies. Additionally, users have praised the software's agility in adapting to changing business needs, enhancing enterprise process agility.

Paxata has proven invaluable in solving day-to-day reporting needs for businesses, with users citing its ability to deliver reports based on requirements from both headquarters and field users. The self-serving analytics feature has been particularly useful for users looking to decide and build their next action plan. Furthermore, users appreciate the software's flexibility to change the data model and columns, enabling them to customize and adapt the software to their specific needs. By identifying patterns, outliers, and duplicates in data, Paxata provides valuable insights for decision making. Finally, the product has been instrumental in standardizing clinical trial data across multiple therapeutic areas, improving data consistency and accuracy.

Intuitive Data Preparation: Multiple reviewers have found Paxata's self-service data preparation feature to be highly intuitive, making it easy for new users to get started quickly. The software's user-friendly interface and clear instructions have been appreciated by the users who feel that they can easily learn how to use the tool without requiring technical assistance.

AI-powered Analysis: Many reviewers have praised Paxata's use of AI in data analysis. They believe that this feature has allowed them to learn more about their data as they analyzed it. With AI-powered insights, customers are able to make informed decisions based on accurate and reliable information.

Flexible Transformation Steps: Several reviews mentioned how Paxata allows its users to add or delete transformation steps at any stage with ease. This flexibility is highly appreciated by users when working with complex data sets, allowing them to traceback any transformation step if needed. Additionally, this flexibility saves time and resources while ensuring accuracy throughout the process.

High Cost: Several users have expressed concern over the high cost of Paxata, particularly for non-commercial use. 

Limited Data Messaging Feature: Some reviewers feel that the data messaging feature in Paxata is not impressive and can only perform limited functions.

Iterative Processing: Reviewers mention that the iterative processing of data requires several steps to output data as input to other procedures, which can be time-consuming.

Designer Desktop

Designer Cloud Professional Edition

IBM Cognos is a full-featured business intelligence suite by IBM, designed for larger deployments. It comprises Query Studio, Reporting Studio, Analysis Studio and Event Studio, and Cognos Administration along with tools for Microsoft Office integration, full-text search, and dashboards.

On Demand - Standard

On Demand - Premium

IBM Cognos Analytics

Paxata

Data preparation tools are a new class of software products designed to enable business analysts and data scientists to bypass data warehouses to perform some data integration and data preparation themselves before analysis.

Data Preparation

AML Demo 2017

Paxata: Rapidly Connect, Explore, Transform and Combine Data

Paxata Demo - Preparing Data for Health Care Cost Analytics

mstr bayarea meetup #1 @paxata RFM Demo

Mike White - Paxata salesforce integration and analytics 3 3 2015

Likelihood to Recommend

Tableau Desktop

Talend Data Fabric

Experienced Associate

Paxata 2017-08-22 11:50:04

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

Quality issues

Powerful feature

Large data

Data sets

Large data sets

Edit feature

Home

Data Preparation Tools

Paxata is used in our business to accelerate the business process of cleaning, enrichment and preparation of data to be fed into BI dashboards to drive insights business decisions. It is being used by multiple verticals in the analytics as well as the risk practice right now to service clients.

Visualize distributions in large data sets effectively which enable the user to quickly spot outliers and treat them appropriately
Provides recommendation to merge datasets based on matching column values
The cluster and edit feature in my opinion is its most powerful feature and reduces cardinality in column with text

Doesn't provide recommendation on how to impute values
There is a lag quite often
We can say whether a column has errors or quality issues in the first look

It saves time to clean data
It reduces the requirement of too many data engineer/stewards and hence adds positive impact on the return of the business

Alteryx Analytics, Talend Data Quality, Tableau Desktop