Tuesday Feb 25, 2014
Friday Apr 12, 2013
By Sophia Tseng on Apr 12, 2013
We are very excited to introduce Oracle Endeca Information Discovery 3.0, a major release which has been 2 years in the making. This release continues to strengthen Oracle Business analytics portfolio with a key enhancements to our Data Discovery solution.
There are three major themes to the release:
Enhanced End User Discovery Experience: Improving upon an intuitive end user discovery experience founded on years of experience in online commerce, the OEID3.0 release provides a completely modernized look and feel. This provides users a more sophisticated, yet streamlined and cleaner experience in which to discover new insights.
Improved Business User Self-Service: Oracle Endeca Information Discovery 3.0 has made major investments to empower the business. This is achieved by providing business users with the ability to upload their own Excel files into Endeca Server and create new discovery applications without the need to understand complex query languages. Business users can also create and share new applications using highly curated data sets already provisioned by IT.
Robust Data Discovery for the Enterprise: A superior discovery experience does not come at the expense of enterprise standards, governance, and security. With this release OEID provides new features which further solidify its place as the only enterprise-class data discovery platform, with localization on 10 languages, Endeca Server support on 22 languages, the ability to deploy on Weblogic, new JSON reader, native integrations with Oracle BI Server, and more.
Thursday Feb 21, 2013
By Takin Babaei on Feb 21, 2013
Aberdeen Group’s recent study “The HR Executive‘s Agenda” shows organizations using workforce analytics experienced a 14% year-over-year improvement in revenue per employee compared to just 5% for those companies that did not. Is your organization using analytics to effectively manage its employees and improve performance? We often hear from organizations that the key drivers for adopting an analytics-based approach to HR include:
- Lack of accurate view of workforce profile
- Measuring the effectiveness of HR
- Aligning talent management with corporate strategies
- Understanding the voice and sentiment of the workforce from topics and themes hidden in unstructured content
Join us on for a Webcast to find out how Oracle Business
Analytics helps organizations of any size meet key HR challenges and gain
a 360-degree view of critical HR information within the enterprise and beyond. Event Date: Thursday, February 28, 2013 Event Time: 10 a.m. PT/1 p.m. ET
Join us on for a Webcast to find out how Oracle Business Analytics helps organizations of any size meet key HR challenges and gain a 360-degree view of critical HR information within the enterprise and beyond.
Event Date: Thursday, February 28, 2013
Event Time: 10 a.m. PT/1 p.m. ET
Tuesday Jan 15, 2013
By Sophia Tseng on Jan 15, 2013
Human Resources is back in the spotlight. According to industry benchmarks, the cost of replacing an employee can equate to 1.5-4x an employee’s salary, and given ever shrinking budgets, improving employee retention is viewed as a major way to reduce costs on the bottom line. In fact, according to a recent study by the Society of Human Resource Management, the three biggest challenges facing HR executives over the next 10 years are retaining and rewarding the best employees (59%), developing the next generation of corporate leaders (52%), and creating a corporate culture that attracts the best employees to organizations (36%).
Fortunately, data abounds which can help organizations make the best decisions necessary to solve these challenges. Unfortunately, much of the information and the resulting insights which can come from it are outside the reach of traditional business analytics systems, in external websites, social media, text from human resource transactions kept in legacy systems, and documents in content management systems. With this ever-growing complexity, HR executives can gain competitive advantage through richer intelligence, if they are able to draw new and innovative insight with a tool which provides previously untapped actionable information—Oracle Endeca Information Discovery.
Oracle Endeca Information Discovery helps human resource organizations to improve the relationship between companies and their employees, get to the real root causes behind issues, and create new best practices through a better understanding of the workforce by solving the problems associated with analyzing unstructured data. Oracle Endeca Information Discovery creates transformative opportunities for the business, and enables IT to cost-effectively support them in:
- Understanding the voice and sentiment of the workforce. By providing the ability to use natural-language queries to derive insights from information from all sources, Oracle Endeca Information Discovery provides insight into the effectiveness of strategic and tactical HR decisions such as career changes, organizational realignment, compensation adjustments, training and a host of other significant HR events.
- Identifying the root causes behind events and exceptions. By combining structured and unstructured data about the workforce from internal and external sources, HR organizations are empowered to determine the reasons why things happen and respond to findings without direct IT involvement, saving time and cost.
- Supercharging existing business analytics investments. With the unscripted exploration of workforce data and full-featured search, navigation & interactive analytics, HR organizations can leverage, improve, and extend existing investments in workforce analytics and HCM applications.
Friday May 18, 2012
By Manan Goel on May 18, 2012
Wednesday May 02, 2012
By Bob Zurek on May 02, 2012
No question that many IT professionals are feeling the pressure to rapidly deliver analytic solutions that respond to the continuous demands of the business user. Primary research shows that analytics in the context of Big Data continues to be top of mind for executive teams at global enterprises. Executives clearly understand the value of Big Data and analytics and many are very vocal proponents of the value it can bring to bear on the business. What executive is not interested in understanding sales trends, KPI’s, social sentiment about the business and critical metrics, even predictive views of the business?
All these requirements and many more have created a tremendous backlog of analytic application requests. This backlog grows significantly as IT professionals are successful in delivering highly tuned internal analytic solutions that quickly deliver value. Everyone begins to say “I want one of those”!
We are no longer operating in the past when these analytic projects took years to complete and where a “boil the ocean” approach was the norm. Today, we see a changing landscape where Agility is what matters most when it comes to delivering rapid returns on key Big Data and analytic investments. In fact, just about every IT professional is pursuing the Agile model for development where product development efforts of the past are streamlined using methodologies that lean towards delivering high value features that are delivered in short bursts of time. This is clearly the method that is emerging when it comes to rapidly delivering analytic solutions to the end user in short bursts of time where value is immediately evident.
Agility in analytics doesn’t require that the product be a desktop business intelligence solution delivered in silos. In fact, Agile analytics requires that IT and the business users work collaboratively and quickly to ensure strong IT governance while also providing powerful analytic solutions to the end user rather than having the user take on the whole effort.
New Information Discovery solutions such as Oracle Endeca Information Discovery clearly have embraced the notion of delivering high value agile analytic applications in short bursts of time. Some including situational analytic apps. We have seen this play out frequently where POC’s (proof of concepts) quickly go into production in a very short period of time because of the compelling value that was delivered in the POC.
Agility also means developing in short product iterations, this enables one to deliver an analytic application, get immediate feedback from end-users and rapidly iterate to deliver new or expanded requirements that deliver further value. We are talking weeks not many months. Some projects have gone from 8 week iterations down to 2 week iterations. Because Agile analytic solutions are typically delivered through a browser in a private or public cloud, versus a silo desktop only tool, the new enhancements are readily available for test and validation by the end user. This capability combined with agility also gives the analytic application developer a chance to quickly show that they are meeting the key requirements of the end user.With increased agility and business user success, we will eventually turn the corner and agility will be the new norm in analytics.
By Bob Zurek on May 02, 2012
The Oracle Endeca Information Discovery Product Management team has been busy building a new YouTube Channel to showcase the capabilities of the Endeca Information Discovery product. The team has started to release a new screencast series for "Getting Started With Endeca Information Discovery. This series will help showcase the strong capabilities of the product. It will also give you a sense of what the business user experience is like and also show you how innovative this solution is for building highly interactive, search driven analytics applications on a variety of data including structured, multi-structured and unstructured data, especially on Big Data.
We encourage you to check it out at http://www.youtube.com/user/OracleEID/
Monday Apr 09, 2012
By Bob Zurek on Apr 09, 2012
Friday Apr 06, 2012
By Manan Goel on Apr 06, 2012
Friday Mar 30, 2012
By Bob Zurek on Mar 30, 2012
Friday Mar 16, 2012
By Bob Zurek on Mar 16, 2012
Information Discovery, a core capability of Oracle Endeca Information Discovery, enables business users to rapidly search, discover and navigate through a wide variety of big data including structured, unstructured and semi-structured data. One of the key capabilities, among many, that differentiate our solution from others in the Information Discovery market is our deep support for search across this growing amount of varied big data. Our method and approach is very different than classic simple keyword search that is found in may information discovery solutions. In this first part of a series on the topic of search, I will walk you through many of the key capabilities that go beyond the simple search box that you might experience in products where search was clearly an afterthought or attempt to catch up to our core capabilities in this area. Lets explore.
The core data management solution of Oracle Endeca Information Discovery is the Endeca Server, a hybrid search-analytical database that his highly scalable and column-oriented in nature. We will talk in more technical detail about the capabilities of the Endeca Server in future blog posts as this post is intended to give you a feel for the deep search capabilities that are an integral part of the Endeca Server.
The Endeca Server provides best-of-breed search features aw well as a new class of features that are the first to be designed around the requirement to bridge structured, semi-structured and unstructured big data. Some of the key features of search include type a heads, automatic alphanumeric spell corrections, positional search, Booleans, wildcarding, natural language, and category search and query classification dialogs. This is just a subset of the advanced search capabilities found in Oracle Endeca Information Discovery.
Search is an important feature that makes it possible for business users to explore on the diverse data sets the Endeca Server can hold at any one time. The search capabilities in the Endeca server differ from other Information Discovery products with simple “search boxes” in the following ways:
The Endeca Server Supports Exploratory Search.
Enterprise data frequently requires the user to explore content through an ad hoc dialog, with guidance that helps them succeed. This has implications for how to design search features. Traditional search doesn’t assume a dialog, and so it uses relevance ranking to get its best guess to the top of the results list. It calculates many relevance factors for each query, like word frequency, distance, and meaning, and then reduces those many factors to a single score based on a proprietary “black box” formula. But how can a business users, searching, act on the information that the document is say only 38.1% relevant? In contrast, exploratory search gives users the opportunity to clarify what is relevant to them through refinements and summaries. This approach has received consumer endorsement through popular ecommerce sites where guided navigation across a broad range of products has helped consumers better discover choices that meet their, sometimes undetermined requirements. This same model exists in Oracle Endeca Information Discovery. In fact, the Endeca Server powers many of the most popular e-commerce sites in the world.
The Endeca Server Supports Cascading Relevance.
Traditional approaches of search reduce many relevance weights to a single score. This means that if a result with a good title match gets a similar score to one with an exact phrase match, they’ll appear next to each other in a list. But a user can’t deduce from their score why each got it’s ranking, even though that information could be valuable. Oracle Endeca Information Discovery takes a different approach. The Endeca Server stratifies results by a primary relevance strategy, and then breaks ties within a strata by ordering them with a secondary strategy, and so on. Application managers get the explicit means to compose these strategies based on their knowledge of their own domain. This approach gives both business users and managers a deterministic way to set and understand relevance.
Now that you have an understanding of two of the core search capabilities in Oracle Endeca Information Discovery, our next blog post on this topic will discuss more advanced features including set search, second-order relevance as well as an understanding of faceted search mechanisms that include queries and filters.
Monday Feb 13, 2012
By Bob Zurek on Feb 13, 2012
My goals with my blog posts are to share with you observations, perspectives and insight on the Data Discovery market and technology as well as our product and its capabilities. My style is to have a dialogue, tell a story, dig down into technical topics, use cases and bring you additional insight on the importance of Data Discovery. I hope you will enjoy reading these blog posts as well as others who are contributing to this blog.
If this is your first exposure to Oracle Endeca Information Discovery, you will find the various features and benefits of our product at this landing page on oracle.com You will also find a data sheet that will walk you thru some of the core elements of our platform. This is a good starting point for getting oriented to our product line.
For my next post, I'll discuss some of the core use cases for Oracle Endeca Information Discovery. In the meantime, thanks again for visiting the blog.
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