Gain Competitive edge With TRG's Semantic Technology

8/18/2019 Gain Competitive edge With TRG's Semantic Technology

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FASTERR&D analysis of go-to-market data

GAIN COMPETITIVEEDGE WITH TRG’S SEMANTIC

TECHNOLOGY

White Paper



IS YOUR R&D EMPOWERED FOR ACCELERATED

INNOVATION?

The Future of pharmaceutical and biotechnology space is Personalized

Medicine and researchers are working towards understanding of these

complex disease mechanisms, so that they can deliver right treatment to

right person.

A typical drug before going to manufacturing travels a period of 7- 10 years

through R&D division. The time to market is majorly dependent on research

and development division where they are constantly researching on new

molecules or modifying old molecules to improve their efficacy with process

of simple combination of theoretical frameworks and experimental

hypothesis and validation to combined sciences of biology/medicine,

analytical technologies, and informatics. The core vision of every

Pharmaceutical/Biotech organizations is to get their drug in market as soon

as possible and this can be achieved by reducing the time spend in the

research and development. These departments are heavily dependent on

massive amount of data. This information is present but scattered across

multiple databases and sources, both public and private wherein it’s very

difficult to complete the jig saw puzzle. Although due to the era of Web 2.0,

we are connected to lot of data and information but the catch lies in are we

getting the relevant information, that also on time?

Figure 1: Exploding Volumes of Data: Life sciences data producers such as the Whitehead Institute and the Sanger Center arealready managing many TeraBytes (TBs) of data, and require high throughput processing capabilities and 24 x 7 availability to keep

pace with the high volume of data generated from today's sequencing equipment. This quote from the Sanger Center gives and idea

of the magnitude of data that needs to be managed for life science problems.

1994 1995 1996 1997 1998 Oct1999

Apr 2000

Nov2001

Jan01

2002 2003 2004 2005 2006

500TB

450TB

400TB

350TB

300TB

250TB

200TB

150TB

100TB

50TB

0

Genetic databases are estimated

to be doubling in size every six months,

more than twice as fast



Major Bottlenecks exists in life sciences research and development;

1. Rely on newer and innovative methods for successful transfer from

research to clinic.

2. Complex and dynamic data across the systems.

3. Data is locked inside hundreds of different information systems acrossthe individual disciplines /in silos

4. Data explosion of emerging Biotech laboratories and has considerably

increased the complexity and scale of data

5. Enormous volumes/heterogeneous nature of data creates a gap in the

existing computational system to infer its meaning, the dynamics of this

biological data depends on the experiment, that makes the researcher in

need of adaptable and extensible systems

With TRG, research organizations can aggregate data from disparatesystems-both within their own institutions and from partner

organizations-and use that data with agility. This aggregated access allows

researchers to address many data challenges from a single system, by

allowing data to flow freely from existing specialized locations to

destinations where it is needed for downstream analysis, and by making it

possible for outcomes and results to help define directions for upcoming

research.

Figure 2: TRG semantic service articulation

Visualizaon

SEMANTICTECHNOLOGY

Communicaon

Sense Engine

Integraon

MappingDataNavigator

Knolwledge Management

Semanc Agent

BusinessIntelligence

AutoMail

Categorizer

SemancSearch





FEATURES

More parameters to expand the meaning of a particular query which is

searched by the scientists and researchers

Relationship or mapping of query with one and others to give better and

accurate results With Subject-Action-Object tool one can get information regarding the

history , development stage of other scientists and researchers working

on other molecules on a click

Dashboard centric information to give a holistic view of mapped

information.

Content analysis through geographic maps that can help researchers

get more structured insight over the medical data globally

TOTAL BENEFITS OF TRG SEMANTIC SOLUTION

Deep understanding of Lifesciences domain helps in capability to

perform full Disambiguation

Precision: Retrieving a high level of accurate results relevant to search

query

Recall: Retrieving a high percentage of relevant documents Real time information search discussing about the trends and opinions

Automatic categorization

Automatic tagging of main elements

Automatic summary of article and research papers

Extracts specific relationships that exist between the concepts

BENEFITS TO USERS (SCIENTISTS/RESEARCHERS)

Aggregating Life Sciences data and their statements on the Web

Common system for referencing things across all research domains

even they exist in one of many databases

URI resources can be typed and associated with cross-community

vocabularies

Support the collective knowledge of an R&D Community

A Wiki with semantic relations

Substrate for Next Generation Discovery Tools

Flexible Integration of scientific networks



WHY CHOOSE TRG AS YOUR SERVICE PARTNER.

1. Pharma Business Aligned IT

Aligning business process with IT service delivery results in Process

Cycle Time Reduction and Enhanced Business Performance

Large US Pharmaceutical Company – Business Process Changesresulting in reduced cycle time for order processing and

manufacturing lead times by 25%

2. Complex Transformational Projects

Saving 2.6 Million USD Beyond Labor Arbitrage by productivity gains

TRG Supports 90 % of ERP Apps, Human Health, Clinical & Pre

clinical IT

One of the Largest Pharma SOA Enablement Reference

3. Pharma Reference and ERP Domain Depth

TRG works with 10 of the top 15 pharmaceutical and companies

#3 SAP Integrator by scale and completeness of solution

#1 for SAP Customer Satisfaction

#1 in Remote Infrastructure Services

Global Delivery network beyond INDIA of Poland, brazil, Malaysia

and China Centers and Near SHORE in North Carolina

4. Service Innovation

Joint IP creation with SAP for Clinical Trial Supply Chain &

Manufacturing Domains

eZ Migrate & ASSET - Efficient migration & transition methodologies

5. Output/Outcome based Models

Utility Based Pricing

Efficiency accrued is passed on to the customer as cost benefit

Steady transition to step level pricing model

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Gain Competitive edge With TRG's Semantic Technology