This document describes d-Wise, a technology consulting company founded in 2003 that provides services for life sciences and healthcare companies. It offers systems implementation, data warehousing, standards implementation, business intelligence, and data analytics services. The company has experience with clinical data standards, clinical systems integration, and SAS solutions. It also describes d-Wise's experience implementing data warehousing and analytics projects for pharmaceutical, biotech, healthcare, and insurance companies.

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December 12, 2016
Systems | Standards | Data | Process

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for Life Sciences & Healthcare
• Systems Implementation
• Systems Integration
• Clinical Data Repositories
• Metadata Repositories
• Standards Implementation
• Data Warehouses
• Metadata Solutions
• Business Intelligence
• Data Analytics
• Predictive Modeling

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Technology
Founded in 2003
Privately Held
Fortune 500 Customers
Offices in US, UK

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Customized Technology
Strategies
Implementing Data
Standards
Integration of Clinical
Systems
Delivering SAS
Solutions
Aligning Technology
and Process

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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

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 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.

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 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

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 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.

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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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 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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 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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 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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 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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 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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 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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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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 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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 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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SAS Drug Development
Capture and
Select input data with
subset criteria (metadata
driven)
Perform smart extract (just
what you need)
Compute
Publish computational results
and (using just-in-time data)
Metadata about the analysis
Analytic System

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 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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FIREWALL
ROI: Reduced a 4 Hour Process to 15 Minutes
SAS Drug Development

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 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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SAS Extract
Callback Program
Merge Data
(ODM, CSV, SAS)
FIREWALL
SAS Drug Development
SAS Merge
ROI: Reduced a 12+ Hour Uploads to Minutes

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 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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 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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SAS Extract
Callback Program
Merge Data
(ODM, CSV, SAS)
FIREWALL
SAS Drug Development
SAS Merge
ROI: Reduced a 12+ Hour Uploads to Minutes

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BioTechnology / Pharmaceutical
Education Other
Health Care