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ease
features
design
support

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Description

Data serves as the essential driving force behind any effective sales and marketing strategy. It is important to note that data loses its value at a rate of 2% each month. Additionally, the effectiveness of data gathered through email marketing diminishes by approximately 22.5% annually. Without precise data, a business’s marketing approach can significantly falter. Consequently, maintaining an accurate and up-to-date database is crucial. Binary Demands offers a global contact database designed to transform your marketing campaigns and strategies. Over time, your collected data naturally deteriorates, which can hinder your efforts. To combat this issue, Binary Demand delivers tailored solutions that address data degradation, ensuring that your information remains useful. These customized data services encompass standardization, de-duplication, cleansing, and verification, allowing for the creation of targeted customer lists based on factors like location, company size, job titles, and industry. With our commitment to high accuracy and a cost-effective model, we position ourselves as the top return on investment-generating list partner in the industry, enabling clients to make informed decisions and drive sales effectively.

Description

Customer information is ubiquitous in today's world, spanning across cell phones, social media platforms, IoT devices, customer relationship management systems, enterprise resource planning tools, and various marketing efforts. The sheer volume of data collected by companies is immense, yet it frequently remains underutilized, incomplete, or even inaccurate. Poorly managed and low-quality data can disrupt organizational efficiency, jeopardizing significant growth opportunities. It is essential for customer data to serve as a cohesive element connecting all business processes. Ensuring that this data is both reliable and readily available to everyone, at any time, is of utmost importance. The DQE One solution caters to all departments that utilize customer data, promoting high-quality information that fosters trust in decision-making. Within corporate databases, contact details sourced from different channels often accumulate, leading to potential issues. With the presence of data entry mistakes, erroneous contact details, and information gaps, it becomes vital to regularly validate and sustain the customer database throughout its lifecycle, transforming it into a dependable resource. By prioritizing data quality, companies can unlock new avenues for growth and innovation.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

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

Binary Demand

Country

United States

Website

www.binarydemand.com/solutions/

Vendor Details

Company Name

DQE

Founded

2008

Country

United Kingdom

Website

dqe.tech/en/dqe-one/

Product Features

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

Product Features

Data Quality

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

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