Customer Data Integration Effectively Implemented

Customer data integration is a difficult process without the right tools.

Integrating different customer data sources with different field types, address standards, naming conventions, etc is a monumental task. Especially when you consider how valuable the information is. The comments and history associated with these records are needed to insure a flawless customer experience.

Keys to effective implementation

1.  Find someone who has done it before. Data Ladder’s customer integration specialists have completed hundreds of customer data integrations.
2. The right tools make all of the difference. Every data integration is unique. Data Ladder’s DataMatch suite has; multiple customizable match definitions so you can identify duplicate and matching customers effectively (Same email, or same address, or same company name, etc.), the ability to merge data into a single golden record that combines duplicate/matching customer data with no data loss, and the ability to save your work for use in future customer data integrations.
3.  Get started quickly with an affordable solution. Why waste time waiting for large companies to return your phone calls? Why spend $100K on a solution that takes months to approve, and weeks to implement? Get started today and contact  us for a free customized WebEx demonstration on your data.

Increasing Customer Loyalty through Improved CRM Data Quality

Just like any long-term relationship, keeping your customers happy and loyal takes work and effort. In the business world, there’s even a special term for it — CRM.

Used effectively, a CRM (customer relationship management) system pumps out reliable customer information and gives a company a bird’s eye view of a customer. From customer service to marketing, it gives an organization data to make smart decisions about sales strategies and approaches.

Unfortunately, if the information in a company’s CRM system isn’t accurate, it will not provide a high return on investment. According to DestinationCRM.com, there are three key elements to an effective CRM system: people, process, and technology. While the company itself may directly control the first two elements, some outside help can impact the technology by which the CRM system is managed.

Cleansing software can help streamline your CRM system. Besides input by users, the integrity of a CRM system can be compromised by the input of records from multiple sources, as well as the integration of data between the CRM and other data systems. Cleansing software will clear your system of the duplicates and typographical errors that can make the difference between an optimized CRM system and a non-functional one.

Think of your CRM system as a critical component of your organization’s success. As an ever-evolving process for your organization, your CRM system provides important information on customer behavior.
Keeping it accurate through cleansing software can:

• Improve customer service efficiency
• Improve customer profiling and targeting
• Add cross-sell opportunities
• Improve closing rates
• Reduce costs

Let Data Ladder help you manage your CRM system and keep those customers happy. We offer cleansing software solutions for all different types of companies. Contact us for more information.

Spring Cleaning Takes on New Meaning for the Data Quality Tools Market

In business, there’s nothing more important than operating at the highest level of efficiency. Good news for the world of data quality tools, where this critical need has led to a staggering $800 million industry.

From financial services to retail venues, data quality software have led the way in managing data and monitoring business intelligence. In fact, the demand has become so great in the industry that a growing number of data quality tool providers are looking for ways to converge with related markets in dataintegration and MDM (master data management) products.

Keeping up with the market demand can mean other important changes ahead for players in the dataquality tools market. From changing service platforms to addressing flexibility issues, it will be critical toaddress the integration of rapidly evolving technology.

According to Gartner research, by the end of 2010 the industry had seen 12.6% growth over theprevious year. The data quality tools industry is all encompassing, including data profiling, cleansing,parsing, standardization, matching, and monitoring.

A big trend moving forward for data quality tool vendors? Improving data quality in multiple areas, suchas customer/party or product/material lists. The flexibility required to manage a wide range of subjectareas will be a selling point for data quality tool vendors in upcoming years. It is estimated that 40% ofdata quality tool users are actively seeking solutions to improve data in multiple domains.

With forecasts for growth estimated at 16% over the next five years, things are looking pretty neat forthe data quality tools market.