About DQ for Excel
DQ for Excel is a data quality software from DQ Global that helps organizations manage and improve their data within Microsoft Excel. It provides data profiling, validation, and cleansing tools so users can ensure data accuracy and consistency. This solution allows for quick identification of data issues and can automatically correct errors, thus improving overall data reliability. DQ for Excel is designed to work directly within Excel, offering a familiar interface for users and integrating with existing workflows. Key capabilities: data profiling data validation data cleansing error correction Excel integration Best for: data analysts and business users that need to maintain high-quality data in their Excel spreadsheets.
DQ for Excel by DQ Global is a specialized data quality tool designed to work seamlessly within the familiar Microsoft Excel environment. Tailored for data professionals, business owners, sales teams, and marketing experts, its primary purpose is to enhance the accuracy, consistency, and completeness of data managed in Excel spreadsheets. The software empowers users to cleanse, validate, standardize, and deduplicate data directly from within Excel, making it a practical solution for those who rely heavily on spreadsheets for managing customer and business data. It’s especially helpful for organizations looking to improve the quality of their CRM, ERP, and marketing data without having to adopt complex external systems. The user interface of DQ for Excel is well-integrated with Excel itself, making it highly accessible to users already familiar with Microsoft Office tools. Rather than presenting a standalone dashboard or a steep learning curve, DQ for Excel adds a functional toolbar and intuitive ribbon controls within Excel, maintaining a sense of familiarity. This design ensures that users can navigate through the toolset with minimal training.
Pros & Cons
- Excel Native: Works directly within Excel, familiar and easy to use for many.
- Comprehensive Data Quality: Offers validation, suppression, enrichment, and deduplication for customer data.
- Business-Focused: Directly aims to boost sales, revenue, and compliance with fresh, reliable data.
- Excel Dependency: Tied to Excel, which might limit scalability or automation for very large, complex data operations beyond spreadsheet capabilities.
- Credit Management: Users need to manage and purchase credits, which could lead to interruptions if not monitored.
- Niche Focus: Primarily for customer/prospect data within Excel, not a broad enterprise data governance or integration solution.
Features
Key features
Integrates directly and seamlessly with Microsoft Excel spreadsheets, allowing users to perform data quality operations within a familiar environment.
Enables users to validate, suppress, enrich, and acquire both company and contact data, making Excel a powerful tool for customer data management.
Offers capabilities to add missing information to existing records by cross-referencing third-party data, including contact and company details, and to acquire new B2B data.
Helps ensure data is correctly formatted, accurate, and high quality by validating various data types (emails, phone numbers, postcodes, URLs) and standardizing their formats.
Provides tools to identify and remove duplicate records, and to suppress contacts who have passed away, moved companies, or opted out of communications.
Operates on a credit-based subscription, allowing users to pay only for the data quality services they consume.
Additional features
Designed for various roles including data professionals, business owners, sales, and marketing experts.
Works directly within Excel spreadsheets as an add-in, available from Microsoft AppSource.
Verifies the correctness and format of various data types.
Identifies and flags records for individuals who have passed away, moved companies, or expressed a preference not to be contacted (Do Not Contact).
Augments existing customer and prospect data with additional contact or company information (e.g., SIC codes, turnover, number of employees).
Enables users to acquire new company and contact data, powered by market-leading B2B data sources (e.g., Experian's BusinessView data for UK).
Helps provide business attributes and Know Your Customer (KYC) information, including details about directors, locations, and sectors for compliance purposes.
Real-time verification of email addresses and phone numbers.
Standardizes formats for postcodes, worldwide telephone numbers, emails, and URLs.
Generates patterns or phonetic tokens, often used as part of deduplication processes.
Allows for data manipulation such as abbreviating, excluding, and elaborating data, potentially in multiple languages.
Compares two inputs and returns string similarity using various comparison methods.
Analyzes data structure, pattern, or values to obtain new information.
Resolves data into its component parts (e.g., separating components of an address).
Inspects two data fields to analyze if they are aligned or consistent.
Capable of processing large volumes of data efficiently.
Users purchase credits and only pay for the services consumed.
Designed with GDPR compliance in mind for data acquisition and management.
A key business benefit, by improving data for better targeting and insights.
Improves the accuracy and reliability of customer data for sales and marketing campaigns.
A core outcome of using the tool.
The core add-in is available for free download from the Microsoft Office Store (AppSource).
Can directly work with user-created Excel sheets and data exported from CRM or marketing applications.
Pricing
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About DQ for Excel
DQ for Excel is a data quality software from DQ Global that helps organizations manage and improve their data within Microsoft Excel. It provides data profiling, validation, and cleansing tools so users can ensure data accuracy and consistency. This solution allows for quick identification of data issues and can automatically correct errors, thus improving overall data reliability. DQ for Excel is designed to work directly within Excel, offering a familiar interface for users and integrating with existing workflows. Key capabilities: data profiling data validation data cleansing error correction Excel integration Best for: data analysts and business users that need to maintain high-quality data in their Excel spreadsheets.
DQ for Excel Details
DQ for Excel's In-App Market Place
Does DQ for Excel have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), CAD (C$), AUD (A$), JPY (¥), CNY (¥), INR (₹), RUB (₽), BRL (R$), MXN (Mex$), KRW (₩), ZAR (R), TRY (₺), SEK (kr), CHF (Fr), SGD (S$), HKD (HK$), NOK (kr), DKK (kr), JOD (د.ا), NZD (NZ$), AED (د.إ), SAR (ر.س), QAR (ر.ق), THB (฿), PHP (₱), IDR (Rp), MYR (RM), TWD (NT$), ARS ($), CLP ($), COP ($), PEN (S/.)
Pros & Cons
- Excel Native: Works directly within Excel, familiar and easy to use for many.
- Comprehensive Data Quality: Offers validation, suppression, enrichment, and deduplication for customer data.
- Business-Focused: Directly aims to boost sales, revenue, and compliance with fresh, reliable data.
- Excel Dependency: Tied to Excel, which might limit scalability or automation for very large, complex data operations beyond spreadsheet capabilities.
- Credit Management: Users need to manage and purchase credits, which could lead to interruptions if not monitored.
- Niche Focus: Primarily for customer/prospect data within Excel, not a broad enterprise data governance or integration solution.
DQ for Excel's Support Options
Email Address
info@dqglobal.comContact
+44 (0)23 9298 8303DQ for Excel's Alternatives
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