Conduit unleashes the power of your data by securely connecting data sources to the business intelligence tools you rely on in real time. Lightweight data virtualization has never been easier. Contact us for a FREE trial: Marketing@bpcs.com.

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Table of Contents
Introduction 3
Simplified Connectivity
4
Stakeholder Efficiency 5
Conduit Use Cases 6
Use Case: Advanced Analytics 7
Use Case: Data Integration 10
Use Case: Data Availability 13
Appendix: Example Architecture
16

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Introduction
When looking at the modern data landscape and working to manage our own
business needs around data accessibility, we discovered many companies have
problems with querying, aggregating, and integrating large data sets.
To solve this problem, we developed Conduit: a lightweight data virtualization
tool that securely connects data from multiple data systems, sources, and types to
any business intelligence tool. Data virtualization is the key to a modern data
management strategy and should be frictionless, lightweight, and secure.

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Introduction: Simplified Connectivity
Conduit is a lightweight data virtualization tool that unlocks the value of your data in your environment⁠—in
one cloud, multi-cloud, on-prem, or any combination. Without writing a single line of code, both relational
and non-relational data sources can connect directly to your BI tools or preferred analytics platform. You
can also expose datasets as REST APIs for developers and automation initiatives.

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Introduction: Stakeholder Efficiency
Light Tool to help IT address data
governance and pipeline
development cycles
Engineering Efficiency
Engineering teams can quickly curate
and productionalize new data sets
without disrupting existing data
pipelines.
Business Analysis Speed
Move faster and develop insights in real
time with access to all your companies’
data sources.
Data Scientists
Feed your data teams with access to all data
sets from a single and trusted source from
across your enterprise.

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Conduit Use Cases
Advanced
Analytics
Data
Integration
Data
Availability

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Use Case: Advanced Analytics
Scenario:
A national retailer has a massive chain of stores with
substantial complexity in their inventory and supply chain
management processes. Inefficiencies in ordering and out-
of-stock situations drive up costs and account for significant
loss of revenue.

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Use Case: Advanced Analytics
Before Conduit
Running forecasting models against
large-scale data sets took days, creating
backup for inventory management and
leading to stock-out and inventory issues.
After Conduit
Forecasting models run in hours⁠ utilizing
a GPU-enabled query engine, thereby
increasing the speed and accuracy of
decision-making, driving costs down and
revenue up.

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Use Case: Advanced Analytics
Conduit benefits include:
• Increase the velocity of business utilization.
• Reduce uncertainty in decision-making by validating assumptions with
real-time data.
• Enable leadership to better manage risk by using accurate information and
data-based predictions.

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Use Case: Data Integration
Scenario:
A large automotive manufacturer needed to leverage sales
and inventory data stored in several SQL and NoSQL
databases to drive their outbound marketing. Without the
ability to easily connect source data to their preferred
visualization tools, the manufacturer struggled to optimize
revenue-generating campaigns.

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Use Case: Data Integration
Before Conduit
Heavy, costly data virtualization products
and time-consuming custom
workarounds quickly grew complex due
to the necessary rounds of testing and
continuous configuration.
After Conduit
The need for custom engineering and
complex workarounds is eliminated.
Analysts and data scientists can efficiently
and securely explore data to create
accurate predictive marketing campaigns.

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Use Case: Data Integration
Conduit benefits include:
• Access your data from a single, consistent source.
• Decrease or eliminate the need to rely on engineering resources.
• Save time and money by reducing administrative overhead.
• Equip end users at any experience level.

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Use Case: Data Availability
Scenario:
A large, online travel provider is implementing a multi-cloud
IT strategy to mitigate operational risks. As datastores
transition from one platform to another, connectivity needs
to be maintained so reporting and other operational
analytics are available during project execution.

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Use Case: Data Availability
Before Conduit
When planning for datastore migration
from one cloud provider to another, the IT
organization struggled to minimize
reporting downtime and accommodate
eventual delays in project execution.
After Conduit
Connectivity is dramatically simplified for
the business. A single data connection
providing access across multiple locations
allows IT to migrate data in the most
efficient way possible without impacting
business access.

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Use Case: Data Availability
Conduit benefits include:
• Minimize application downtime and insulate users from service interruptions.
• Maximize existing investments by migrating incrementally.
• Reduce organizational risk utilizing a flexible data migration strategy.

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Appendix: Example Architecture