Monday, 27 February 2012

Discovery channel - provided by Endeca Studio

Besides a unique way of organizing data, Endeca also provides an innovative interface for exploring and discovering information. Today let's have a closer look at the end user layer of EID - Endeca Studio.

Endeca Studio is a interactive, component-based environment for building analytic applications powered by MDEX Engine. It is built on web-based Liferay infrastructure that enable building analytic applications delivered through the use of Web browsers.

In Edeca Studio, a login user can have access to a number of Endeca analytic applications. Each analytic application may have multiple tabs and read data from more than one DGraphs.  Each application tab contains variant components such as search box, chart, table, guided navigation, tag cloud, etc. The example here is an Endeca Studio application built for a consulting company. The initial view of this application shows overview information about staffs from different perspective - number break down for different categories, average billing rate, detail information for each individual and so on.

Suppose I am a manager who needs to find consultants for an urgent Siebel CRM project. I can start my journey of information discovery with "navigation". After clicking on "Now" and "Siebel -CRM" on the navigation panel, the system immediately responds by returning the smaller list of consultants who match those criteria, and by dynamically summarizing this smaller list of records and updating all metrics and analytics as well.

I can further refine my navigation result by choosing more navigation categories.

French language is also one of the requirements for this project. From the short-listed 21 staffs, I need to find people who can use French. However, the language competency is not available as a navigation category or table column so that I can filter on. It could be because the company has never captured that information in the HR system or other structured database systems. Individuals normally keep language competency in their resume files. Remember that Endeca MDEX engine is capable of consolidating both structured data and unstructured data. I can perform a search in this Endeca application against my MDEX engine. After correcting the spelling mistake automatically, Endeca finds me two consultants who can use French language and also meet all the other criteria.

To verify the validity of search result, I can choose to view the detail information for one of my candidates

If I click on the PDF icon, I can open the PDF file for that person's resume. As we can see, "Fluent in French" is one of the personal competencies that he included in his resume.

So, unlike those traditional BI operations such as choosing columns, defining filters, combining subject areas, it only took me a few navigation clicks and search to quickly find information that I need in Endeca Studio. More importantly, data stored in unstructured format was also not left out in the decision making process.

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