D wise overview

© d-Wise 2013 April 13, 2023 Page 1

April 13, 2023

d-Wise Technologies, Inc. Systems | Standards | Data | Process


Data and Process Optimization Servicesfor Life Sciences & Healthcare

• Systems Implementation• Systems Integration• Clinical Data Repositories• Metadata Repositories• Standards Implementation

• Data Warehouses• Metadata Solutions• Business Intelligence• Data Analytics• Predictive Modeling


Background

Technology

Founded in 2003

Privately Held

Fortune 500 Customers

Offices in US, UK


Core Competencies

Customized Technology Strategies

Implementing DataStandards

Integration of Clinical Systems

Delivering SAS Solutions

Aligning Technology and

Process


Expertise

Domain

Solution

Technology

SAS

• Clinical data flow, from collection to submission• Clinical Data Standards• Clinical Systems landscape

• Data Warehousing• Business Intelligence•Analytics and Reporting

• Commercial Software• Open Source• N-Tier Architechture

• Life Sciences Applications• Data Integration, Business Intelligence, Analytics• Validated SAS computing environment


Life Science Practice Unique combination of life sciences and

technology experience to understand both your business process and technology challenges.

Experience with clinical data warehousing, programming, analytics and FDA submissions.

Extensive knowledge of CDISC, HL7 and other industry standards.

Experience planning, managing and delivering clinical trials.

Broad experience aligning strategic and tactical plans to help organizations address the challenges of technology adoption.


Healthcare Practice Experience in data warehousing,

analytic data marts, actuarial analysis, quality reporting, and physician profiling

Experience with all aspects of health insurance including claims, members, providers, benefits, contracts, and rates

Management expertise in large-scale process improvement initiatives in the health insurance arena


Our Data Architects Have broad experience applying data warehousing domain expertise to build

robust models for decision support. Our team can transform data warehousing from a contentious challenge to a value delivering asset.

Use a data-driven requirements gathering process comprehensively addressing the needs of the business users, IT, and enterprise architectures.

Use a technology agnostic approach that ensures the right solution for our client’s unique needs.

Have a deep expertise in data integration and ETL to build reusable modules. Follow best practices definition to define platforms to help your data

managers focus on the data rather than the tools. Metadata driven data management approach streamlines interfaces and

captures the right data about your data. Define warehouse models for integrating disparate operational data sources

for enterprise needs.


We’ll Tackle Your Challenges

d-Wise will help tackle your business challenges by…

Offering a unique combination of software development and industry knowledge

Providing the expertise in a broad range of technologies to find the optimal solution

Having a successful track record of building the right solution for your problem

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What is Our Technical Expertise?

Extensive knowledge of data warehousing and business intelligence solutions

Broad range of experience with many different technologies

Unique software development perspective Decades of experience developing and implementing

SAS-specific solutions

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Data Warehousing Experience

Experience with the design and development of large scale data warehouses

Data modeling to optimize the flow of data Experience with both relational and non-relational

databases Experience with leveraging industry standards to

optimize your technology Experience integrating a range of products including

JReview, WinNonLin, Oracle Clinical, DS Navigator and home grown data warehouses

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Data Warehousing Projects

d-Wise developed an integration interface for a top pharmaceutical company to streamline data across their disparate solutions

d-Wise designed and developed an enterprise toxicology data warehouse populated with data from over a dozen diverse sources

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Business Intelligence Experience

Integration of company’s technology to improve the flow of information

Development of custom reporting tools on top of existing solutions

Design and development of robust web based solutions for reporting and analytics

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Business Intelligence Projects

Developed a large scale web based quality control system for over 3000 laboratory sites

Managed a full scale project to develop a health insurance automation reporting solution using a range of different technologies

Implemented a enterprise portal solution for a large life science company including the development of standard dynamic reports

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Delivering SAS Solutions

Decades of design and development of core SAS products

Experience implementing SAS solutions in large companies

Ability to develop custom plug ins to existing SAS technologies

Experience using SAS as a customer Unique ability to assess current SAS architecture

and provide plan to meet strategic vision

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Delivery of SAS Solutions

Installation and implementation of SAS solutions including:

SAS Business Intelligence SAS Data Integration (Metadata Server and Data

Integration Studio) SAS Drug Development SAS Analytics Pro (BASE SAS, SAS/STAT, and

SAS/GRAPH) Implementation of Analysis tools including

Enterprise Guide, JMP, and Web Analytics

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Extending the Capabilities of SDD

Analytical Workflows – automate the “smart” extract and staging of data for analysis by statistical tools and publish/capture the results back into SDD

Loading Large Data – a plug-in to compress and package directories of data for quick upload, then to decompress and recreate the folder structure within SDD

Loads Incremental Data – a workflow for loading incremental data into SDD and maintaining concurrency between the source system and the SDD repository

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Extending SDD: Managing an Analytical Workflow

Analytics propel the drug discovery process Analytic processes:

– are fed by clinical data– produce data and metadata– are critical to the overall process

Computational requirements may prescribe a dedicated system beyond your repository

How can this specialized system be integrated with the repository?

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Managing Analytical WorkflowThe Solution

SAS Drug Development

Capture and

Select input data with subset criteria

(metadata driven)

Perform smart extract (just what you need)

ComputePublish computational

results and (using just-in-time data)

Metadata about the analysis

Analytic System

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Extending SDD: Challenges of Loading Data

Customer outsources all data and reporting activities to CROs

CRO produce multiple folders containing lots of data – data that must be loaded into SDD

– Loading this large volume of data is tedious & time consuming compared to loading a zipped archive

How can SDD support zipped archives?

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Challenges of Lots of FilesThe Solution

FIRE W

ALL

ROI: Reduced a 4 Hour Process to 15 Minutes


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Study Data Lifecycle: Challenges of Incremental Loads

Customer environment includes a local CDR and a SAS hosted SDD

Frequent, but minor, updates to large studies result in customer pains– Significant network traffic– Long upload times– Users waiting while data is extracted and uploaded

Would incremental uploads be faster?

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Challenges of Incremental Data The Solution

SAS Extract

Callback Program

Merge Data (ODM, CSV,

SAS)FIR

E W

ALL


SAS Merge

ROI: Reduced a 12+ Hour Uploads to Minutes

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How is this possible?

d-Wise thinks about SDD as a platform Integrating remote systems can be made simple –

clients can be introduced locally or remotely… depending on the needs

What is the role of an API? Where do web services fit into this puzzle? How does all this techno-speak translate into

something valuable for the business?

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Thinking about the possibilities.

As a platform, SDD can be extended to bring new capabilities to the business

Extending doesn’t have to mean customizing – plug-ins can sit next to SDD without compromising the integrity, security, or compliance of the underlying system

Workflow and automation specialized for your approach to data management – SDD makes this possible through the API

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Integrating SDD with a Clinical Data Repository

SAS Extract

Callback Program

Merge Data (ODM, CSV,

SAS)

FIRE W

ALL


SAS Merge

ROI: Reduced a 12+ Hour Uploads to Minutes

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d-Wise CustomersBioTechnology / Pharmaceutical

Education Other

Health Care