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What is Pulter?

Empower your engineering team to focus on the vital aspects of your business while Pulter delivers an outstanding spreadsheet import solution that can be implemented in just a few minutes. With Pulter, you can effortlessly import your customers' data into your system without any holdups, allowing them to interact with the essential features of your product instead of grappling with tedious data handling tasks. While it can be concerning to delegate sensitive customer information to a third-party provider, we guarantee that your data will never be retained on our servers. We provide numerous options to assist in the smooth transfer of your customer's data. Pulter is not only intuitive but also highly adaptable, allowing you to customize it to fit your brand, adjust workflows, and much more. By integrating a simple snippet of our code into your application, you can immediately start accepting spreadsheets from your customers. Experience the smooth and effective management of data with Pulter to boost your customer satisfaction today, and watch how it transforms your operational efficiency.

What is Data Quality on Demand?

Data plays a vital role in multiple sectors of a business, such as sales, marketing, and finance. To fully leverage this data, it's important to maintain its integrity, protect it, and manage it effectively throughout its entire lifecycle. At Uniserv, we believe that data quality is a core principle of our identity and the services we offer. Our customized solutions convert your customer master data into a crucial asset for your business. The Data Quality Service Hub ensures that your customer data remains of the highest quality across all locations within your organization, including those overseas. We offer services that align your address information with international standards, utilizing the best reference data available. Furthermore, we validate email addresses, phone numbers, and banking information with meticulous attention to detail. If your data has duplicate entries, we can quickly pinpoint them according to your defined business requirements. Often, the identified duplicates can be merged automatically using predefined rules or categorized for manual assessment, which promotes an efficient data management workflow that boosts operational productivity. This thorough strategy for ensuring data quality not only aids in compliance but also builds trust and credibility in your customer relationships, ultimately leading to stronger business outcomes. An unwavering commitment to data quality fosters a culture of accountability within the organization, encouraging all departments to prioritize accurate data handling.

Media

Media

Integrations Supported

Airtable
Google Sheets
Notion
SAP Store
Zapier

Integrations Supported

Airtable
Google Sheets
Notion
SAP Store
Zapier

API Availability

Has API

API Availability

Has API

Pricing Information

$19 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Pulter

Company Website

www.pulter.co

Company Facts

Organization Name

Uniserv

Date Founded

1969

Company Location

Germany

Company Website

www.uniserv.com/en/business-cases/customer-data-management/data-quality/

Categories and Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Categories and Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

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