Laying the Foundation for Customer Data Integration

For increased revenues and improved profitability, customer data integration (CDI) should be a vital part of your business processes. CDI, unlike customer relationship management (CRM), can deliver a valuable single view of a customer, without necessitating yet another complex system needing vast technical and organizational effort. Learn about CDI’s core capabilities, and which style of CDI is your best match.

Featured Software Research:

Self Service Business Intelligence

Self service BI is technology that provides non-technical individuals who need data with the ability to gather and display meaningful information. The technical and business complexities of identifying data sources, transforming and integrating data sets, enhancing data quality, and providing a data repository are necessarily addressed before a self service BI application is made available. Read this white paper to learn more about how the technical framework and infrastructure for supporting self service BI underlies the foundation of a successful business solution and how to approach deployment of such as solution. Read More

Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization

Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as productivity improvement and systems as well as data in the cloud. This white paper describes a lean form of on-demand data integration technology called data virtualization, and shows you how deploying data virtualization results in BI systems with simpler and more agile architectures that can confront the new challenges much easier. Read More

Time and Attendance: The Core of Managing and Measuring Your Workforce

This paper is based on data from more than 200 organizations in Brandon Hall Group’s 2014 Workforce Management Study. It reviews the evolution of time and attendance, the impact of automation and integration, and the key role that time and attendance solutions play in managing and measuring today’s workforce.

Some of the key findings include:
  • Organizations with fully automated time and attendance saw 67% greater year-over-year improvement in customer satisfaction.
  • Organizations automating time and attendance were 73% more likely to have real-time visibility and reporting on current time and attendance data.
  • Workforce analytics was cited as a top workforce management concern, by 54% of organizations, but just 32% indicate they are using workforce analytics tools regularly.
 Read More

You may also be interested in these related documents:

Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence

  • Source: SAP
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Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data. Read More

The Importance of a Single Product for Data Quality and Data Integration

Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data. Read More

Core HR: The Foundation for Business Alignment

Core HR is at the heart of organization alignment, collaboration, compliance, and results. This Research Brief looks at the challenges organization face when it comes to core HR service delivery, how to lay the technology foundation to support employee data automation and integration, enable the business through analytics, focus on accuracy and compliance, and use the technology delivery to model and enable self-service and business performance.  Read More
 
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