WHITE PAPERS

A Primer on InforSense Technology

Historically, business intelligence (BI) has been about bringing data to the analyst. Analysis could only be performed with specialized business intelligence tools, specialized data sources called data warehouses and specialized skills to be able to design and use business intelligence systems. Instead of bringing the data to the analysts, InforSense provides software that enables enterprises to bring the analysis to the data. The solution is simple: data originates and resides in your existing business systems and processes. That´s where the analysis belongs. In this white paper you´ll learn about the key functionalities of the InforSense platform, including:

• Dynamic data and application integration
• In-database processing
• Interactive analytical workflows
• Predictive analytics, data mining and text mining
• Enterprise deployment and reporting

Gaining insight into your credit risk

The use of analytics to address credit problems has gained strong momentum in many world leading commercial banks over the last few decades. Risk management techniques can be applied to a variety of activities, including application approval, limit setting, credit alerting, capital adequacy, and risk-based pricing. Credit analysis must be an ongoing process, as it is fundamental to the success and even survival of the bank. In addition, the International Basel II regulation requires each bank using the advanced ratings based method to develop a strong internal competence around credit modeling - it cannot be outsourced.

To use analytics competitively in their business activities, organizations must have high quality data, in-house quantitative and analytical expertise, and a capable technology environment for developing, managing and deploying the analytics across the enterprise. In this paper we focus on the last point and describe how InforSense can help improve a bank´s credit analysis performance.

A user-oriented framework for developing and using analytical workflows

In this paper, you´ll learn why workflow technology has been broadly adopted within scientific research and shows many of the advantages provided by the InforSense platform to workers in this rapidly changing environment. Two case studies, one in the area of high-throughput chemistry and the other in translational research, illustrate the benefits of the InforSense platform. The paper describes the generic flexibility of the technology for application in domains with very different scientific requirements.

Integrative Business Analytics using InforSense IOE

Simplify the way analytics are developed, used, managed and deployed, while leveraging your existing Oracle infrastructure. This paper will demonstrate how to integrate business analytics with InforSense IOE (In-Oracle Edition), which enables organizations to easily leverage existing Oracle investments, drive critical decision making and enhance productivity. You´ll learn how to benefit from:

• Reduced cycle times for developing and deploying flexible and re-usable analytics applications
• User-friendly interfaces for decision makers
• Ease of integration and deployment of analytics within existing business processes and applications

Introducing InforSense Siebel Edition

In the past decade, organizations have embraced CRM solutions such as Siebel as a way to improve customer-related business processes, including sales, marketing and customer service. These investments have created an extremely valuable data source in the form of CRM databases. However, many organizations have had a difficult time effectively deriving intelligence from that data, resulting in lower-than-expected ROI from their CRM systems. This paper describes how InforSense extends Siebel Customer Relationship Management with data mining functions that provide advanced customer intelligence from within applications like Siebel Marketing and Siebel Contact Center. You´ll learn techniques to help you:

• Identify key drivers for customer behavior to predict and minimize attrition
• Find the relationships between demographics and behavior that enable successful product positioning
• Reliably measure the response to campaigns and launches

Scientific Text Analytics in the Post-Google Era

Literature, in particular scientific papers, is the root source of information for life scientists. The fast rate at which new papers are published means that manual analysis and dissemination of this information is not feasible and automated means are required to extract the specific knowledge that scientists require. This paper describes how InforSense addresses this challenge by:

• Providing an interactive analytical workflow environment, with a wide range of text analytics functionality, and
• Deploying workflows as web based applications which have simple user interfaces but invoke the full power of the underlying workflow.

Analytical Workflows Beyond Data Pipelining

The use of the workflow paradigm for performing high-throughput data analysis and mining has gained acceptance within many industries and in particular those dealing with the design and analysis of chemical compounds. This paper presents the key technology behind InforSense ChemSense, and how it is ideal for modern data analysis over large chemistry data sets. The paper also presents a number of application workflows including:

• Interactive knowledge discovery with automatic workflow capture
• Intuitive ChemStudio visual analytics for QSAR and lead identification/ optimization
• In-database analytics for predictive ADMET studies and focused library design
• Seamless integration of tools from multiple chemistry vendors
• Rapid development and deployment of tailored applications
• Full support for enterprise analytics, including SOP generation, control flows and portfolio optimization

With case studies from Oracle Portals and Windber Translational Medicine portals, this paper discusses methods of accessing analytical services through web interfaces in the context of web portals. You´ll also learn how portal technology has been combined with InforSense services to provide solutions for both business analytics and scientific research.

From Bench to Bedside and Back

Learn about the challenges inherent in translating basic research into clinical utility from both an IT and a scientific perspective, and how InforSense's integrative analytical capabilities address those challenges. This paper explains why analytical workflow technology has been broadly adopted within biomedical research by demonstrating the many advantages provided by the InforSense platform. These benefits are illustrated by three case studies in translational research:

• Understanding the Molecular Mechanism of Diffuse Large B Cell Lymphoma Disease
• Predicting ADMET Properties
• Supporting Transitional Research at the Windber Research Institute

...Cut the Cost of High-Volume Data Analysis: Case study at Cambria BioSciences

Biotechnology companies can achieve significant savings in IT resources of around 35% with deployed applications built using InforSense. This white paper presents the InforSense platform´s key technologies, and how Cambria Biosciences, a Boston-based biotechnology company, has used InforSense to effectively support their research in genetics, physiological disease models and high-throughput chemical screening to discover new drug leads and characterize their activity. In particular you´ll learn how InforSense is used by Cambria Biosciences to:

• Develop and support new methods for dynamic, high throughput analytics without programming or requiring additional IT resources. Applications include compound inventory analysis, high content screening and predictive ADME.
• Leverage existing software investment by incorporating 3rd party tools within tailored applications. Examples include capabilities from CambridgeSoft and Cellomics as well as Oracle in-database analytics and in-house algorithms.
• Identify, optimize and deploy in-house SOPs for a variety of users via a custom web portal.

High Throughput GWAS Analysis

Genome Wide Association Studies (GWAS) are becoming more commonplace. These studies are designed to find genetic variants, or SNPs, that are correlated between Case or Control individuals. Rapid advances in genotyping technology have dramatically increased our ability to generate ever larger amounts of data. Experiments are now being planned that measure a million SNPs across tens of thousands of samples. This paper describes how InforSense has met some of the challenges that scientists must solve when faced with analyzing the results from a GWA study.

Improving Cohort Selection and Clinical Decision Making with ClinicalSense

InforSense has collaborated with leading medical institutes such as Dana-Farber Cancer Institute, Erasmus Medical Center and Windber Research Institute to develop a flexible IT infrastructure for translational research applications. Teams are working in various research areas including breast diseases, multiple myeloma, gynecologic cancers and cardiovascular disease. These collaborations have produced a high-performance integrative decision-support system that is already in productive use by both clinicians and researchers. It has also resulted in a new InforSense product called ClinicalSense, which is a tool for cohort selection and clinical decision making. This paper focuses on ClinicalSense and how it provides an integrated environment for subject evaluation in Cohort studies and improved clinical decision making.