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Description
Optimize your budget and enhance productivity during user research and discovery phases. This approach is beneficial for design agencies, in-house teams, and independent freelancers. By utilizing research data efficiently, you can conserve valuable time and energy in the initial stages of user exploration and discovery. Gain a competitive edge by streamlining your processes without compromising the user experience. Eliminate guesswork by quickly obtaining valuable insights from publicly available information. Create impactful designs without resorting to placeholder text like Lorem Ipsum. Accelerate both the discovery phase and the timeline to your minimum viable product or design iteration. Reduce risks by broadening your design team's knowledge base. Enhance your UX capabilities even without having dedicated internal experts. Prevent potential budget overruns while effectively engaging with clients who may have limited financial resources. Tackle the obstacles presented by constrained resources and budgets by leveraging fast, actionable data. Expand your project portfolio painlessly while fostering more opportunities for UX initiatives. Boost your design efficiency and maintain high standards of quality. This strategy can assist in pinpointing challenges, identifying risks, and outlining crucial components for your design brief, ensuring a more thorough and informed design process. Embrace this method to transform your approach to user research and design.
Description
Safyr® significantly minimizes the time, expenses, and resources associated with discovering ERP metadata, achieving an impressive reduction of up to 90%. Before effectively utilizing metadata from prominent ERP and CRM solutions like SAP, Salesforce, Oracle, and Microsoft, users face three key obstacles that must be surmounted. Failing to address these challenges swiftly can lead to delays, increased costs, failures in delivery, and in severe situations, the cancellation of projects altogether. Once the necessary metadata is pinpointed for your initiative, it becomes crucial to leverage it for setting up additional environments, which may include data cataloging, governance platforms, enterprise metadata management, data warehouses, ETL processes, or data modeling tools. The primary goal of developing Safyr® was to empower users to significantly accelerate the value they derive from their projects, which incorporate data from major ERP and CRM systems, by providing efficient and cost-effective solutions to these challenges. By streamlining the metadata discovery process, Safyr® ensures that organizations can focus more on their core objectives rather than getting bogged down by technical issues.
API Access
Has API
API Access
Has API
Integrations
Alation
Collibra
Data360 DQ+
ER/Studio Enterprise Edition
Figma
IBM Cloud
IDERA Precise for Databases
Microsoft 365
Microsoft Dynamics 365
Microsoft Dynamics 365 Business Central
Integrations
Alation
Collibra
Data360 DQ+
ER/Studio Enterprise Edition
Figma
IBM Cloud
IDERA Precise for Databases
Microsoft 365
Microsoft Dynamics 365
Microsoft Dynamics 365 Business Central
Pricing Details
$15 per month
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
QoQo
Country
United States
Website
qoqo.ai/
Vendor Details
Company Name
Silwood
Founded
1992
Country
United Kingdom
Website
www.silwoodtechnology.com/safyr/
Product Features
UX
Animation
For Mobile
For Websites
Heatmaps
Prototyping
Screen Activity Recording
Unmoderated Testing
Usability Testing
User Journeys
User Research
Product Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics