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Title Date Added Company

Evaluating the ROI from CardScan for CRM 2006-02-07 08:57:41

CardScan for CRM can deliver an initial ROI based solely on time saving in data entry and data correction. However, the greatest benefits come from being able to quickly and consistently capture more leads with complete and more accurate data, thus enabling companies to fully leverage the capabilities of their CRM systems.

The real ROI from streamlining the contact entry process for a CRM solution is not in saving time and correcting errors, but in leveraging the benefits of a common contact base across sales, marketing, and customer support – and reducing the potential missing contacts or incorrect contact details that result from manual data entry. Companies can expect initial ROI from reduced data entry and correction time and cost, but the greater ongoing ROI will come from enabling their sales and marketing managers to take advantage of strategic sales and relationship-building opportunities.

Download this Nucleus Research white paper, sponsored by CardScan, to learn more.

Loading Cube Data at Non-Leaf Levels 2005-12-06 01:01:57

SAS 9 OLAP Server cubes load input data into a multi-dimensional structure that enables fast retrieval of summarized views of that data. This paper explains how to load data like these into SAS9 OLAP Server cubes, how the cube loading options for ragged and unbalanced hierarchies implicitly support virtual members, and how the cube reads your input data into virtual members. This paper discusses advanced cube-loading techniques. Knowledge of the MDX query language is helpful for understanding the notation of dimension, hierarchy, level, and member names.

Case study: Banca Popolare di Milano 2006-08-29 13:52:30 IBM

This Italian bank set out to offer better customer service--and started by transforming its IT. IBM helped it break down the walls separating different customer-service channels, to give the company a single view of its clientele. The result was improved service, enhanced cross-selling opportunities and faster time to market.

Effective Database Marketing: Leveraging Data Management 20040402000410 DataFlux

With some advance planning and attention to good data management practices problems caused by bad data can be avoided and organizations can get the most from the database marketing initiatives. This paper focuses on the importance of effective data management for database marketing. It teaches how to improve the consistency, accuracy, and reliability of customer and prospect data. And through an explanation of best practices for integrating information from disparate sources, it shows how to use data management processes to build the best possible relationship between organizations and their customers.

CardScan for Microsoft CRM Ridge Tool Case Study 2006-02-07 08:57:51

With more than 50 salespeople, Ridge Tool, maker of the well-known Rigid(R) brand of pipe-working tools, collects hundreds of business cards each week—all of which represent potential sales. Unfortunately, the company found that those vital contacts were often lost, or entered into its Microsoft CRM application incorrectly, resulting in too many missed sales.

To remedy the problem, Ridge Tool deployed CardScan for Microsoft CRM, which has enabled the tool maker to dramatically increase both the quality of data entered into its CRM application as well as user adoption of the CRM system itself. Download this case study to read more about Ridge Tool's experience with CardScan for Microsoft CRM and how it has boosted sales productivity through simplified contact management.

CardScan for CRM GS Metals Case Study 2006-02-07 08:58:00

Read how GS Metals has used CardScan for CRM to migrate its sales team to a single CRM solution company-wide. Understanding that they needed one single system, GS Metals was afraid that its salespeople would be reluctant to learn the new application and input data completely and correctly. Adoption of GS Metals’ CRM solution is now at 100%, and GS Metals is realizing the benefits through sustained revenue growth.

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Title	Date Added	Company
Evaluating the ROI from CardScan for CRM	2006-02-07 08:57:41
CardScan for CRM can deliver an initial ROI based solely on time saving in data entry and data correction. However, the greatest benefits come from being able to quickly and consistently capture more leads with complete and more accurate data, thus enabling companies to fully leverage the capabilities of their CRM systems. The real ROI from streamlining the contact entry process for a CRM solution is not in saving time and correcting errors, but in leveraging the benefits of a common contact base across sales, marketing, and customer support – and reducing the potential missing contacts or incorrect contact details that result from manual data entry. Companies can expect initial ROI from reduced data entry and correction time and cost, but the greater ongoing ROI will come from enabling their sales and marketing managers to take advantage of strategic sales and relationship-building opportunities. Download this Nucleus Research white paper, sponsored by CardScan, to learn more.
Loading Cube Data at Non-Leaf Levels	2005-12-06 01:01:57
SAS 9 OLAP Server cubes load input data into a multi-dimensional structure that enables fast retrieval of summarized views of that data. This paper explains how to load data like these into SAS9 OLAP Server cubes, how the cube loading options for ragged and unbalanced hierarchies implicitly support virtual members, and how the cube reads your input data into virtual members. This paper discusses advanced cube-loading techniques. Knowledge of the MDX query language is helpful for understanding the notation of dimension, hierarchy, level, and member names.
Case study: Banca Popolare di Milano	2006-08-29 13:52:30	IBM
This Italian bank set out to offer better customer service--and started by transforming its IT. IBM helped it break down the walls separating different customer-service channels, to give the company a single view of its clientele. The result was improved service, enhanced cross-selling opportunities and faster time to market.
Effective Database Marketing: Leveraging Data Management	20040402000410	DataFlux
With some advance planning and attention to good data management practices problems caused by bad data can be avoided and organizations can get the most from the database marketing initiatives. This paper focuses on the importance of effective data management for database marketing. It teaches how to improve the consistency, accuracy, and reliability of customer and prospect data. And through an explanation of best practices for integrating information from disparate sources, it shows how to use data management processes to build the best possible relationship between organizations and their customers.
CardScan for Microsoft CRM Ridge Tool Case Study	2006-02-07 08:57:51
With more than 50 salespeople, Ridge Tool, maker of the well-known Rigid(R) brand of pipe-working tools, collects hundreds of business cards each week—all of which represent potential sales. Unfortunately, the company found that those vital contacts were often lost, or entered into its Microsoft CRM application incorrectly, resulting in too many missed sales. To remedy the problem, Ridge Tool deployed CardScan for Microsoft CRM, which has enabled the tool maker to dramatically increase both the quality of data entered into its CRM application as well as user adoption of the CRM system itself. Download this case study to read more about Ridge Tool's experience with CardScan for Microsoft CRM and how it has boosted sales productivity through simplified contact management.
CardScan for CRM GS Metals Case Study	2006-02-07 08:58:00
Read how GS Metals has used CardScan for CRM to migrate its sales team to a single CRM solution company-wide. Understanding that they needed one single system, GS Metals was afraid that its salespeople would be reluctant to learn the new application and input data completely and correctly. Adoption of GS Metals’ CRM solution is now at 100%, and GS Metals is realizing the benefits through sustained revenue growth.