JMP is statistical discovery software used by Six Sigma practitioners for quality improvement projects. It uses a structured approach to explore and analyze data, automatically displaying graphs and statistics to help uncover patterns. JMP's custom DOE and partitioning tools help identify key factors for process improvement. Its graphical interface also makes experimental design accessible throughout organizations.

1. JMP®
6 for Visual Six Sigma®
JMP®
is statistical discovery software from SAS that Six Sigma®
practitioners use
to make informed decisions worldwide. From Green Belts to Master Black Belts.
For quality efforts extending from R&D to production and customer service.

2. JMP®
uses a structured, problem-centered
approach for exploring and analyzing data.
JMP automatically displays graphs with
statistics, enabling Six Sigma®
practitioners
to visualize and uncover data patterns that
affect research, product development, and
production activities.

3. Trustworthy business
intelligence and analytics
SAS®
provides the business intelligence®
solutions to access, interpret, and
report enterprisewide information
related to strategic organizational
goals. JMP®
software, from SAS,
provides the analytics to apply DMAIC
processes to operations, determine
ways to improve productivity or
reduce defects, and analyze the
impact of changes.
You can integrate JMP into your SAS
solutions to provide up-to-the-minute
progress on the cost and performance
of operations related to Six Sigma®
projects and to alert team members
when business performance is not
meeting Six Sigma project targets.
Easy and smart analytics for
all your data
JMP lets you get to data wherever it
lives in your organization. With JMP’s
pull-down menus, you can import and
save SAS datasets directly or retrieve
data from any source or repository
using Open Database Connectivity
(ODBC). JMP opens Excel and HTML
with a single click and lets you analyze
data that exceeds the limits of other
programs. Join, sort, concatenate,
subset, stack, and split data tables
from any source—quickly and easily.
JMP’s unique capability to link data,
graphs, and statistics allows every-
one in your organization to play with,
probe, and understand the data. See
relationships, uncover patterns, and
identify relevant associations that
affect your business.
JMP generates graphs and statistical
results in the same window, so you
can interpret results and save time
over “fill out the form” methods that
generate the statistics without a graph.
Live links let you manage your data
from the graphs. Click on any point on
a graph and JMP highlights everything
about that point in the data table.
Conversely, click on a row in the data
table and JMP shows you where that
data displays in the graphs.
JMP helps you find outliers that distort
results or reveal important patterns.
AAnd because no programming is
needed, everyone in your organization
can manage data easily. Just point
and click to subset data, exclude
groups from analysis, or mark interest-
ing data so you can watch its behavior.
During subsequent analyses, JMP
highlights the activity of the marked
data records.
Uncover opportunities for
maximum improvement
Black Belts are challenged to uncover
opportunities for organizational
improvement that will yield maximum
cost savings. JMP is the only analytic
tool that offers exploratory data min-
ing, custom design of experiments with
total flexibility on resource allocation,
and the ability to specify the way a vari-
able should be analyzed and displayed.
Use JMP to identify key process inputs
and outputs, so you can focus projects
on inputs that have the greatest impact
on process outputs. Decision trees
handle any combination of factors and
all response types—so they can be used
for any type of quality improvement effort.
JMP starts by sifting through all possible
factors to find the most important ones.
By continuing to sift through the factors,
you can readily identify where to focus
your process intervention.
JMP displays graphs and statistical reports in the same window and
helps you find outliers that distort results or reveal important patterns.

4. JMP’s comprehensive Design of
Experiments (DOE) capabilities build
flexibility into your projects. JMP goes
beyond traditional designs to let you
build fully customized designs that are
based on the resources you want to
commit to the experiment.
Most DOE software limits you to a fixed
number of runs. JMP Custom Designer
lets you specify the runs you can afford,
and then generates a design to meet
those specifications. With JMP, you
can include any number or combination
of continuous, categorical, blocking,
or mixture factors. You can specify
number of runs equal to or greater than
the minimum possible and use your
prior knowledge of your systems to
rule out certain factor combinations.
After the data is collected, you can
interactively investigate the impact
of changing the settings.
JMP also lets you lock settings for
factors that you can’t or don’t want to
change. Most statistical software tools
don’t support D-Optimal designs.
Even fewer support I-Optimal and Split
Plot designs. By supporting all three,
JMP lets you model your real-world
situations, needs, constraints, and
requirements even more closely.
JMP’s partition platform sifts through all possible factors to find the
most important ones. By continuing to sift through the factors, you can
identify where to focus your process intervention.
JMP’s custom DOE tools let you build
fully customized designs that are based
on the resources you want to commit to
the experiment.

5. But JMP is not just for the experienced
experimenter. Its graphical interface
makes experimental design accessible
throughout your organization. With
JMP column properties, you can
specify modeling types, roles, and
special attributes that define how a
variable is analyzed and visualized.
After collecting the data for an experiment,
you can interactively investigate the impact
of changing the settings, even locking
settings for factors that you can’t or don’t
want to change.

6. Eliminate guesswork
JMP lets you customize your interface
to match your organization’s business
and process language. Custom menus
let you standardize the analytics used
for your projects, reduce the chance
of error, and minimize training time.
Use our DMAIC menu, create your
own, or add menus suitable for
different Six Sigma practitioners or
projects in your organization. JMP
lets you reorganize menus easily,
change menu labels, localize menu
labels to any foreign language, and
import files in any language.
Use JMP’s DMAIC menu or create your own.
Organize and package analysis results into familiar “six pack”
and “five pack” views that give all the familiar key metrics for good
decisions in one window.
With JMP you do not need to
capture graphs into static PowerPoint
presentations. JMP lets you capture
your analyses as journals to share
within the organization. Record your
analyses, then bundle them with rele-
vant data files according to the DMAIC
roadmap process. Projects become
organized, portable, and repeatable
by others.

7. Six Sigma® consultants worldwide trust JMP®
and train their clients to implement their
quality inititatives using JMP. SAS also
provides on-site and regional JMP classes.

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