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There are a number of data quality tools available in the market and choosing one that is best for your organization’s specific needs can be difficult. The information provided in this article will help you in choosing the best data quality tools for your company and will help you evaluate the many options analytically. These methods are tried and tested, and you will certainly benefit from the information.

The factors you should consider while selecting the best tools and their effects are presented below.

Best Data Quality Tools Should Have All The Data Quality Functions

Features like data profiling, data parsing, data cleansing, enhancement, ease of use of interface and other essential data quality functions should be present in the best data quality tools for your company. It is very important that you identify all the data quality functions that your organization is searching for and then evaluate the data quality tools respectively.

What Is The Licensing Model?

Do some research on licensing models which typically involve per seat and enterprise subscription costs. Sometimes there is no cost for basic models, and only extra fees for advanced features. Compare licensing prices for all the data quality tools you are considering.

SOA Features And Rule Engines

Research service oriented architecture integration facilities. The best data quality tools you’ll find have the ability to package data quality rules and services that can be combined through SOA calls. Understand if your potential data quality tool has the ability to invoke SQL rules and other languages.

BI And Reporting Abilities Determine The Uniqueness Of Tools

The best data quality tools will have advantages such as out of the box reporting systems, business intelligence features, higher ability to access the backend, and a sound data quality store.

Higher Performance And Scalability

When there is a processing need for are very large number of data and rules, your data quality tool should be able to handle it easily and with high performance. There should be good support for a higher number of concurrent users and other features like Salesforce data migration and data cleansing software.

Support For Various Data Types

There are various types of data in your system and the data quality tools you are going to select should have support for all types of data – structured, non-structured and semi-structured. Look for Hadoop supporting data quality tools which will be an added advantage for you.

Ease Of Installation

A data quality tool with easy installation is what every organization looks for. Unnecessary changes in the framework and long installation processes are generally frowned upon by most of organizations.

Customer Support

Support for your queries and issues is very important when you are going to buy the best data quality management tools for your data center. The quality of the supporting staff and their availability around the clock is important to get maximum advantage of the best data tools.

The author:

RingLead offers a complete end-to-end suite of products to clean, protect and enhance company and contact information, leading to improved organizational efficiency, reliable business intelligence, and maximized ROI on CRM and marketing automation investments. Since 2003 RingLead has helped solve the dirty data problems of large enterprises, Fortune 500 companies and small businesses across the globe.