Data is the essence of your business. In order to attract and retain customers, your processes must be as efficient and effective as possible. Complete visibility to all current information will have an enormous impact on these processes. But, this information is often locked away in multiple systems, making it difficult to obtain the complete, accurate, and current view of the project required. Traditional solutions to this problem often involve replicating all data in one or multiple places. But replication is expensive and creates latency related problems, as well as errors and inconsistency in the data.

Clickmarks i-Framework is used for variety of data collection reasons to maintain:

• Relevant updated news
• Press releases
• Managing internal data
• Leveraging existing data from legacy systems

Clickmarks i-Framework has the flexibility to deal with dynamically changing web sources, where the information source may change from time to time.

Clickmarks i-Framework can also unlock information that may be stored behind password-protected sites and applications, or information that is stored in databases in web-interface-driven database applications.

Using the Clickmarks i-Framework, companies can gather, sort and store information to be viewed by decision makers in an offline process. The automated process eliminates any manual intervention, saving hours of employee time spent in combing the Internet for information.

The architecture used in the CI suite creates a set of shared data services that allow for consistent accessing and updating of data across multiple systems, providing complete, accurate, and current data to any process or application at any time.

Using patented Presentation Level Integration™ (PLI) technology PLI the Clickmarks i-Framework is used to create composite data services that span all sources, cross reference database as well as a data warehouse. All data access and update logic as well as policies like security and caching are defined - which allows for consistent definition of these policies across all systems.

Data cleansing and matching functions are also exposed as services by using PLI tools. This means applications can link “Bill” on the phone to “William” in the customer database. Thus, all of this data is available to calling applications (like dashboards, workflows, and portals) as a service from one logical source. This dramatically simplifies application development as well as solves the traditional problem of data latency and inconsistency.