Aquitas overview short talk at Facilities Management Maximo Users Group 2018

1. 1
In a survey conducted at the
2017 Interconnect Conference of Maximo Users…
over 50% reported Data Quality
as one of their top issues.
“An EAM tool is only as good as the data in it”

2. Data Management: The One Task
Everyone Avoids But Can Kill a
Project
Ray Miciek, Executive Vice President of Sales & Marketing
Aquitas Solutions

3. 3

4. 4

5. 5
Miciek Upgrade Data Migration Experience

6. 6
Agenda
• How Did We Get Here
• What Do We Do Now?
• What is the Value?
• Q&A

7. BAD DATA
What contributes Bad Data quality
Multiple Systems
Multiple
Plants/Sites
Multiple or No
Schema/
Taxonomies
Increasing
complexity and
volume
Lack of System
Control

8. General Data Errors
Fuse, 250V NUT DRIVER 7,16
ASSEMBLY: 1-1/4 IN, 72
CM
FUSE,CARTRIDGE: 1
A,250 V
CARTRIDGE FUSE ,
250V, 1A

9. 9
Group Exercise

10. 10
Benefits to Improved Data
• Identification of excess-active and obsolete inventory
• Identification and elimination of duplicate items
• Reduction in searching for inventory
• Reduction of equipment downtime
• Reduction of maverick purchases
• Reduction of expedited part orders

11. Data Enhancement Process
• Easier navigation & Drill
down
• Easy interoperability &
integration
• Improves web cataloging
• Enhances keyword
search
• Improves Spend
Analytics
• Reduces risk and cost
• Enables Supplier
Optimization
• Data uniformity
• Easy to categorize
• Improves part
interchangeability
• Improves Asset uptime
• Effective supplier
monitoring
• Improves inventory
control
• Improves MIS
efficiency
• Easy item search and
identification
• Improves employee
productivity
• Reduces Inventory
Schema
Developing the Schema
based on Clients’
requirements considering
Industry domain, types of
parts nouns, attributes
business rules etc..
Classification
Classifying the data into
an industry-accepted
taxonomy such as
UNSPSC / EOTD
/eCL@SS or any other
customer preferred
standards
Cleansing
Cleansing &
Standardization of
Master Data & Supplier
data will ensure that all
data fields and
parameters conform to a
uniform standard
Enrichment
Enriching the data using
multiple sources and
also sourcing missing
data directly from the
manufacturers and
suppliers

12. Data Sample
Data from Client’s Legacy System
Description
FUSE, TRM-1 250V
MIDGET TD
Manufacturer/Supplie
er
ECK SUPPLY COMPANY
Model TRM-1
Enriched Data
SHORT DESCRIPTION FUSE, CARTRIDGE: Time Delay (12 Sec)
LONG DESCRIPTION
FUSE, CARTRIDGE: Time Delay (12 Sec), 1 A, 250 V, 10
Midget, Poly Tube, Tin-plated Copper Ferrule, Clip
Mounting, Cylindrical, Non Rejection, 10 x 38 MM, Small
Motors, Small Transformers, Lighting & Control Circuits,
UL Listed to Standard 248-14, CSA Certified to Standard
C22.2 No. 248.14, RoHS Compliant, Used with
fuse holders
UNSPSC 39121609
UNSPSC Title Midget fuses
VALIDATED MANUFACTURER NAME Mersen S.A.
VALIDATED MANUFACTURER NUMBER TRM1
Supplier ECK Supply company
Manufacturer URL http://ep-us.mersen.com/
Enrichment URL 1
http://ep-us.mersen.com/products/catalog/line/trm-midget-
midget-time-delay/
Enrichment URL 2
http://ep-us.mersen.com/fileadmin/_processed_/csm_C5-
TRM_69c2f54c5b.gif
MSDS URL
Image URL
http://ep-us.mersen.com/products/catalog/line/trm-midget-
midget-time-delay/
Noun FUSE
Modifier CARTRIDGE
Time Delay 12 Sec
CURRENT 1A
POTENTIAL 250V
INTERRUPT CAPACITY 10KA
CASE MATERIAL Poly Tube
CONNECTION TYPE ELEMENT TYPE, Tin-plated Copper Ferrule, Clip
DIMENSIONS 10 x 38MM
APPLICATION
Small Motors, Small Transformers, Lighting & Control
Circuit
STANDARDS/COMPLIANCE
UL Listed to Standard 248-14, CSA Certified to Standard
C22.2 No. 248.14, RoHS 10
ADDITIONAL INFO Used with UltraSafeTM fuse holders

13. Typical Findings
13

14. 14
 Stop Putting Data Cleansing Off – Start Somewhere
 Assess – Know What you are Dealing With
 Leverage Tools – Watson Analytics
 Set Realistic Expectations – Data is Tough
 Data is not a One and Done Process
 Speaking of Processes – Set a Clear Process for All New Data Added
 IoT can Solve Reduce Errors and Enrich Data
Key Take Aways
Analytic Tools are Useless Without Clean Data!