The DecisionSite Client is the data interactive analysis environment to interrogate, visualize and instantly explore your data. The data visualizations, labels and query devices are automatically generated based on the imported data; no programming or setup is required.
Introduction
Spotfire DecisionSite is an effective environment for data analysis
and exploration that complements traditional reporting and query
interfaces. Its intuitive visual interface and support for analysis
and exploration of large amounts of data from disparate data
sources have made it a standard among users across multiple
industries worldwide.
Spotfire DecisionSite can be configured to provide data analysis
environments fitting your type of data, business goals, and
your end users—whether they are researchers looking for structure
activity relationships in chemistry databases or Sales managers
wanting to understand the performance of their sales team.
DecisionSite’s unique query capabilities allow dynamic filtering
of data. Together with drilldown capabilities, tight coupling
and brush linking between visualizations, DecisionSite makes
it intuitive and efficient for users to understand and analyze
the data. When adjusting the dynamic query devices, changes
are immediately reflected in all the linked visualizations that
show different views of the same data, making it possible to
perform continuous exploration of the data. Many insightful
views of the data can be drawn and redrawn in seconds, answering
questions as they arise.
Different analytical tasks require different analytical applications,
some examples include:
Researchers qualify lead compounds by analyzing chemistry data
Chemists qualify leads using DecisionSite by reviewing assay
results, chemical properties and chemical structures
Sales managers optimize investment programs based on performance
A sales management team learns how investment programs influence
sales trends in their customer base.
Lab staff controls quality of equipment data
Lab staff analyzes, monitors, and compares equipment output
and quality thresholds. Low quality data is flagged and review
processes are initiated.
Yield engineers perform root cause analysis on the manufacturing
data
Engineers analyze functional failures together with process
data to find the root causes for manufacturing yield problems.
Implementing Guided Analytic Solutions
When your organization has defined what business problems to
address and you plan to integrate guided analytics into your
existing solution, you will need to set up the following components:
- Access to the relevant data sources
- Specific business integrations, metrics and algorithms
- Recommended analysis views, workflows, and starting points
Configure data sources
To provide access to server-based data sources, you can utilize
DecisionSite’s centrally managed Information Services.
To provide access to local data sources such as spreadsheets,
custom files or client side applications, you can utilize DecisionSite’s
native file import capabilities, enrich the application with
custom file import capabilities, or implement a client-to-client
integration.
Provide integrations, metrics and algorithms
To configure your business-specific metrics to your end users,
you can utilize existing methods defined in your statistical
environments, such as SAS®, and deploy these using DecisionSite’s
Computational Services.
You can also enrich the environment with your business metrics
using DecisionSite’s embedded statistics, visualizations, expression
based calculations, or by implementing DecisionSite Tools to
integrate with any external software or data source.
Set up analysis views and recommended workflows
To quickly distribute an analysis starting point to your team,
distribute a Poster with the appropriate data together with
simple visualizations and descriptions to your team. You may
want to add a hyperlink to a follow-up Guide from the Poster
annotation board.
To set up a recommended workflows for your users, use DecisionSite’s
Analysis Builder to create prototype Guides. Describe the workflow
in the Guide and include all recommended steps such as what
data sources to access, what visualizations to use, how to drill
down into the data, what algorithm to apply, and what report
to generate.
Utilize the distribution mechanisms in the DecisionSite Library
to allow your project team to iteratively use, test, and enhance
the Guide.
When deploying your Guide across a department or the entire company,
you may want to enrich the Guide programmatically, and complement
your Guide collection with related Tools and resources. Use
the DecisionSite Builder to collect your components into a DecisionSite
Application for server deployment. Deploy your components, and
manage your user privileges using the DecisionSite Administrator.
NEXT » Chemistry Services