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Aquitas MaxTalk FMMUG Maximo 2018

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Aquitas MaxTalk FMMUG Maximo 2018

  1. 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. 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. 3
  4. 4. 4
  5. 5. 5 Miciek Upgrade Data Migration Experience
  6. 6. 6 Agenda • How Did We Get Here • What Do We Do Now? • What is the Value? • Q&A
  7. 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. 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. 9 Group Exercise
  10. 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. 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. 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. 13. Typical Findings 13
  14. 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!

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