In the fast-paced, high demand environment of manufacturing, it’s almost impossible to find the time to gather large amounts of data and organize it into a common context. This session presents best practices for using Discoverant hierarchies and Direct Connects to provide your end-users with on-demand and scheduled self-service access to their contextualized data, freeing their time for the more important trending and analysis activities that enable improved process performance and predictability.

1. (ATS6-APP01) Unleashing the Power
of Your Data with Discoverant
Karri Unruh, Sr. Product Manager
Karri.Unruh@accelrys.com
Joe Ruth, Architect
Joe.Ruth@accelrys.com

2. The information on the roadmap and future software development efforts are
intended to outline general product direction and should not be relied on in making
a purchasing decision.

3. Content
• Discoverant Overview
– What needs does Discoverant fulfill?
– InVision – Opportunities for your end users to make use of data
– Nexus – Retrieving, aggregating, and contextualizing your data
• Demo
– Importing Hierarchies
– Testing data retrieval
– Creating Analysis Groups
– Utilizing data in InVision
– Pulling AG data into third-party systems with Web Services for AGs

4. Discoverant Overview
• The building blocks of Discoverant

5. Paper
Record Electronic
Data
LIMS
Historian
ERP /
MES
Data
Ware
house
Sponsor Mfg.
CMO
Process Dev.
Pilot Plant
Dynamic
Mapping
Engine
Discoverant
AG
Analysis
Group
Hierarchy
InVision
>
Third-Party
Products
ODBC for AGs
Web Services
for AGs
Accelrys Discoverant Solutions

6. Discoverant InVision
• How data is used

7. Plotting
Chart data
in a variety
of plot
formats
Statistics
Use basic
to
advanced
statistical
analysis
tools to
analyze
every day’s
data
Quality Monitor
Use Six-
Sigma tools to
monitor and
understand
manufacturing
processes
Curve Metrics
Work
comprehensively
with continuous
data. Extract
features and
combine them
with other
discrete data for
quantitative
analysis
Multi-Phase Analysis
Create phases
for continuous
data, such as
chromatographic
phases and
filtration flux
profiles, to
perform
calculations and
comparisons
Stability & Expiration Dating
Perform
analysis of
stability
studies. Chart
trends, identify
out of trend
alerts, and
determine
expiration
dates
Table View
View data
in tabular
format;
condition,
edit, sort,
and filter
different
data types
Visual Process Signature
Use animated
visualizations of
interactions
among process
parameters over
time to uncover
hidden
relationships and
identify areas to
improve process
control
Accelrys InVision Modules
>

8. Discoverant Nexus
• How data is gathered,
aggregated, and contextualized

9. Analysis Group
- Filtration.Process.Start Time
- Filtration.Process.End Time
- Filtration.Process.Temp
- Filtration.Process.Flow
- Pur B.Results.pH
- Pur B.Results.Osmolality
- Pur B.Results.Impurity
>
How Data is Gathered

10. Oracle /
Direct Connect
Source
View
Source
View
Source
View
Context View
Discoverant
• Parameter Type
• Timestamp/Repl ID
• Code Column
Source
View
Source
View
SQL
Query
+ Node
• Conditional Column
• Cond Column Value
Parameter
• Source Column
• Code Column Value
>
What Goes On Behind the Curtain

11. Oracle
Source
View
Source
View
Source
View
Discoverant
SELECT source column
FROM source view
WHERE conditional column = conditional column value
AND ( code column = code column value )
+ Node
• Conditional Col
• Cond Col Value
Parameter
• Source Column
• Code Col Value
• Data Type
• Timestamp/Repl ID
• Code Column
Context View
Source
View
Source
View
>
What Goes On Behind the Curtain – Building Queries

12. Query Pathways provides a mechanism for retrieving
data using multiple queries
>
Query Pathways – Adding More Control

13. >
Step Views – Mapping Genealogy
Step View for Each
Step Node
To map, specify:
• Step number
• Column for current step
• Column for next step
• Cardinality
Step
Universe
Parameter
Recurse
through steps
Data returned in context
of Step Universe

14. Direct Connect
Manager
Oracle
DME Schema
Source Data
Source Data
Source Data
Source Data
Direct Connect
to Oracle
Direct Connects
(JDBC, Oracle, OSIsoft
PI, OPC-HDA, Web
Services)
SQL*Net
Database
Gateways
Discoverant
Discoverant
Server
AG Create
Direct Connect
Manager
>
Direct Connects – Adding More Power

15. DemoFrom Unorganized Data to Automated Results in 15 Minutes
• Importing Hierarchies
• Testing data retrieval
• Creating Analysis Groups
• Utilizing data in InVision
• Pulling AG data into third-party systems with Web Services for AGs

16. • Discoverant can be used to turn data into process
understanding
• Hierarchies provide end users with self-service access to
data without the need for IT intervention
– Query generation prevents the possibility of runaway queries
– Direct Connects contribute to efficient data retrieval
– Query Pathways provide flexibility for even more efficient data
retrieval
– Step Views make sense of lot genealogy by keeping track of
splits and combinations
Summary

17. Screenshot DemoFrom Unorganized Data to Automated Results in 15 Minutes
• This is great to have incase your demo doesn’t work.
Always have in the appendix “Just in case”

18. Demo Slide – DCA Configure Data Source

19. Demo Slide – Hierarchy Import

20. Demo Slide – Hierarchy Import

21. Demo Slide – Hierarchy Import

22. Demo Slide – Hierarchy Test Parameter

23. Demo Slide – HVU

24. Demo Slide – HVU

25. Demo Slide – AGM Create Analysis Group

26. Demo Slide – AGM Create Analysis Group

27. Demo Slide – ARM (Automated Result Method) & Job

28. Demo Slide – KnowledgeNet

29. Demo Slide – KnowledgeNet

30. Demo Slide – External Data Access (REST WS)

31. Demo Slide – External Data Access (REST WS)

32. Demo Slide – External Data Access (REST WS)

33. Demo Slide – External Data Access (REST WS)

34. Demo Slide – External Data Access (REST WS)