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© 2014 IBM Corpora/on Smarter Infrastructure Analytics Strategy and How Maximo Inventory Insights Extends the Value of Maximo Asset Management Stan Tims Program Director, IBM Analytics Product Management, C&SI September 24, 2014 [email protected] (512) 585-6924 @StanTims

Smarter Infrastructure Analytics Strategy and How Maximo

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Page 1: Smarter Infrastructure Analytics Strategy and How Maximo

©  2014  IBM  Corpora/on  

Smarter Infrastructure Analytics Strategy and How Maximo Inventory Insights Extends the Value of Maximo Asset Management

Stan Tims Program Director, IBM Analytics Product Management, C&SI September 24, 2014

[email protected] (512) 585-6924 @StanTims

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© 2014 IBM Corporation 2

Agenda

•  Overview of IBM Smarter Infrastructure Business Analytics •  IBM Maximo Inventory Insights •  Additional Information

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© 2014 IBM Corporation 3

Smarter Infrastructure Analytics

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Three most common types of asset analytics

Time   Time  Time  Today  Past   Future   Future  Today   Today  

Prod

uc,o

n  

Past  

Descrip,ve  Analy,cs  

Prescrip,ve  Analy,cs  

Predic,ve  Analy,cs  

U,liza,

on  

Failu

res  

PM  Plan  B  

PM  Plan  C  

Descriptive Prescriptive Predictive Use Prioritize decisions

Use Optimize outcomes within constraints

Use Anticipate outcomes

Process Aggregate applicable values and apply operands to highlight outliers

Process Incorporates pre-determined variables, rules and decision criteria

Process Prioritizes relevant variables to create trends from historical time-series data

Math Standard: addition, subtraction, multiplication, division

Math Linear, quadratic and integer programming

Math Regression, vector, canonical correlation, multidimensional scaling

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IBM Smarter Infrastructure offers advanced analytics today

Descriptive Analytics

Prescriptive Analytics

Predictive Analytics

IBM Smarter Infrastructure Analytics Offerings

Maximo Business Intelligence (BI) Packs TRIRIGA Workplace Performance Management (WPM)

Maximo Scheduler Optimization TRIRIGA Real Estate for Environmental Sustainability (TREES)

Maximo Inventory Insights (MII) Predictive Maintenance and Quality (PMQ)

Purpose Provide alerts and diagnostics, and prioritize decisions

Optimize outcomes or prioritizes actions based on rules, budgets and decision priorities

Anticipate issues or exploit opportunities based on time-series data

Typical output KPI’s, metrics, views

Plans, schedules

Trends, patterns

IBM analytics engines

Sample value Reduced time to diagnose and resolve project slips

Maximized project team efficiency, based on skills, distance and priority

Increased asset production due to failure avoidance

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Predictive Inventory Optimization

With Maximo Inventory Insights

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What it is

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To  address  these  challenges,  IBM  has  created  Maximo  Inventory  Insights:    a  pre-­‐configured  advanced  analy/cs  offering  for  Maximo  Asset  Management  customers.    

The  product  helps  organiza/ons  to  both  drama/cally  reduce  over-­‐stocked  inventory  items,  and  reduce  the  risk  of  running  out  of  stock  for  cri/cal  parts  by  applying  predic/ve  analy/cs  to  an/cipate  inventory  issues.      

Most  organiza/ons  maintain  at  least  $20M  in  parts  and  spares  inventory,  but  have  liNle  insight  into  which  parts  are  over-­‐stocked  and  which  are  under-­‐stocked.  

Even  more  challenging,  not  only  do  they  not  know  how  big  the  problem  is  today,  but  whether  the  problem  will  get  bigger  or  smaller  in  the  future.  

The  system  targets  key  elements  of  inventory  planning,  such  as  re-­‐order  points,  generates  recommenda/ons  for  op/mizing  each  line  item.  

Organiza/ons  that  use  Maximo  Inventory  Insights  can  take  advantage  of  the  power  of  predic/ve  analy/cs  and  op/miza/on  to  generate  substan/al  savings,  which  can  be  $300K-­‐$400K  per  year  for  $20M  in  inventory.  

Unlike  other  enterprise  analy/cs  offerings,  Inventory  Insights  generates  value  within  a  day,  since  it  extracts  the  data,  profiles  the  inventory,  priori/zes  areas  of  focus,  recommends  op/miza/ons  of  ROP’s  and  applies  them  to  Maximo…all  automa/cally.  

The  offering  is  delivered  as  a  service  (SaaS)  so  not  only  requires  no  addi/onal  IT  infrastructure,  it  is  offered  for  a  monthly  fee  based  primarily  on  the  value  of  inventory  managed.  

Maximo  Inventory  Insights  Descrip,on  

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How it works

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5 key functions: extracts, profiles, prioritizes, recommends, applies

Inventory Insights Data Collector

Customer  Maximo  Database    

Inventory Insights Analytics Engine

Customer  Maximo  Asset  Management  Environment  

SoftLayer

IBM  Maximo  Inventory  Insights  Environment  

#2  Profiles  Inventory  

Customer  Inventory  Insights  Database  

 #1  Extracts  Data  

#5  Applies  Recommenda,ons  

#3  Priori,zes  Focus  Areas  

#4  Recommends  ROP  Op,miza,ons  

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What it does

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Extracts inventory data from Maximo Asset Management system

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Profiles Maximo inventory environment

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Prioritizes areas of management focus

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Recommends optimal reorder points and identifies financial impact

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Applies new reorder points in Maximo Asset Management system

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How customers value it

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“We  really  like  how  simple  the  offering  is  to  set  up  and  use,  but  

includes  powerful  analy;cs  under  the  covers.    We  also  like  that  the  inventory  op;miza;on  recommenda;ons  are  generated  

automa;cally.    This  is  not  just  a  tool,  it’s  a  solu;on,  and  SaaS  is  the  perfect  delivery  model.”  

—Glenn Clark, Solutions Director, Certus Solutions

“The  informa;on  is  presented  in  a  coherent  and  interes;ng  manner.”      

 “I  think  it  looks  great.”  

—Roger Finigan, Keyera Energy

 “The  product  has  very  advanced  technology,  packaged  in  a  simple  soEware-­‐as-­‐a-­‐service  delivery  system.    Maximo  

Inventory  Insights  not  only  generates  analy;cs-­‐supported  recommenda;ons,  it  provides  some  good  insight  on  old  or  

unnecessary  inventory.”    

—Jason Sadovia, Principal Consultant, On Tracks Consulting

“It  looks  good.    It’s  straighIorward.    It’s  

simple.”    

“If  we  can  have  the  system  make  changes  en  masse,  that  saves  us  a  lot  of  

;me  and  effort.”  

—Gord Prince, Mosaic

Customer and partner feedback…

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Value justification for Maximo Inventory Insights

•  Assumptions •  $20M USD inventory value •  100,000 unique parts •  5 possible users

•  Benefits •  For items trending to over-stock

• 5% reduction in inventory x 15% holding costs = $150,000/year

•  For items trending to under-stock • 1% increase in asset production due to ensuring in-stock parts and avoiding asset downtime • $100,000/year asset production value x 150 assets x 1% annual improvement = $150,000/year

•  Cost (List Price) •  Up to $100M USD inventory band plus 5 authorized users

• $3,500 USD/month + $500/month x 12 months = $48,000/year •  No incremental headcount – system is fully automatic after 15-minute setup

•  Net Benefit •  $150,000 + $150,000 - $48,000 = $252,000/year •  $48,000 12-month commitment / $25,000 monthly benefit = 1.9 months payback

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Pricing and packaging

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Pricing and Packaging

Packaging… •  Based primarily on inventory value •  Per-user access •  SaaS: includes customer support

Pricing… •  Inventory Value:

•  Up to $100M inventory value: $3,500/ month •  $100M - $500M inventory value: $7,500/month •  Over $500M inventory value: $15,000/month

•  Users: •  $100/user/month, authorized

•  12-month initial commitment

Available from… •  IBM Sales •  IBM Service Engage •  Business Partners

Supports… •  Maximo Asset Management 7.1.x and 7.5.x •  MAM browsers and operational environments

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Services partners and GBS provide…

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All Maximo BP’s can sell the offering. Early input by…

Possible services from partners and GBS for Maximo Inventory Insights Data health check How complete is the data?

Which data should customer maintain and standardize?

Data cleansing services Standardize terminology Complete values for lead times, quantities, reorder points

Inventory management best practices

How to evaluate and manage excess parts How to determine appropriate safety stock levels How to evaluate inventory management success and report on it

Complex analytics implementations

Integrate data warehouse or SAP data with a custom SPSS model Incorporate RFID and “mobile inventory” into decisions

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Common Questions

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Common Questions

•  Technology •  What’s in the “black box”?

•  Data •  What data is required?

•  Functionality •  Can it work with other Maximo data, or with non-Maximo data?

•  Security •  How well-protected is the data?

•  Direction •  What do you have planned?

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Directions

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2014  -­‐  2015  Smarter  Infrastructure  Predic7ve  Analy7cs  Roadmap  –  9.12.14  Q3  2014  Q2  2014   2015+  

Maximo  Inventory  Insights  Applica,on  

• Predic/ve  trend  charts  • Data  health  reports  phase  1  • UI  layout  improvements  phase  1  • Rollovers  updates  

 

Inventory  Analy,cs  Wiki  • Videos,  white  papers  

Maximo  Inventory  Insights  PlaPorm  

• E-­‐commerce  • Data  collector  automa/on    

Maximo  Inventory  Insights  Applica,on  

• Lead  /me  op/miza/on  • Safety  stock  op/miza/on  support  • UI  layout  improvements  phase  2  • Under-­‐stock  value  es/mator        

Maximo  Inventory  Insights  PlaPorm  

• Mongo  db  upgrade  • Data  collector    improvements    

Smarter  Infrastructure  Predic,ve  Analy,cs  Applica,ons  

• TRIRIGA  Real  Estate  TBD  • TRIRIGA  Projects  - Maximo  work  order  data  health  - Maximo  work  order  priority  op/miza/on  - MII  /me-­‐series  factors  - Mul/-­‐currency  control  

Smarter  Infrastructure  Predic,ve  Analy,cs  PlaPorm  

• SAP  data  integra/on  • Cognos  support  • Maximo  SaaS  integra/on    

Q4  2014  

Maximo  Inventory  Insights  PlaPorm  

• Localiza/on  of  primary  languages  

Inventory  Analy,cs  Wiki  • Product  blogs,  technical  FAQs    

Maximo  Inventory  Insights  Applica,on  

• FISMA  support  • Data  health  reports  phase  2  • UI  layout  improvements  phase  3  • Seasonality  factors  

Smarter  Infrastructure  Predic,ve  Analy,cs  Mobile  Applica,ons  

• Maximo  Anywhere  support  • Mobile  Inventory  support  

Inventory  Analy,cs  Wiki    • Best  prac/ces  blogs    

Smarter  Infrastructure  Wiki  • Product,  best  prac/ces  blogs    

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How to learn more

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Possible next steps

•  Detailed presentation •  By IBM experts in inventory and asset analytics •  Per your convenience

•  Demonstration •  Through Service Engage •  On your own, or in conjunction with IBM sellers

•  Technical evaluation •  Discussion with one of our technical experts •  Topics of your choosing: algorithms, security, performance, etc.

•  Trial •  Through Service Engage: www.ibmserviceengage.com/inventory-insights •  IBM Sales or partner can follow up to assist

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The benefits of a Maximo Inventory Insights Trial

•  Easy setup •  Request a Trial, get a link, download the file, extract and setup •  Setup can take only 30 minutes

• Likely requires dba or systems admin, however, to authorize data collector access

•  Uses customer’s actual data •  A very fast, easy proof-of-concept •  All inventory data will be analyzed •  Data is secure on Softlayer servers

•  Provides clear value in less than a day •  Users will receive summary of inventory profile, priorities and recommendations •  Users will receive specific recommendations on up to 50 items, for each of up to 5 sites •  The system will help identify incomplete and incorrect data •  Customer organization will have access to it for 30 days

•  Straightforward conversion to production use •  No need to install any other software •  Prior analyzed data completely available, with all details and functionality applied

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Additional information for Maximo Inventory Insights

•  Announcement of IBM Maximo Inventory Insights • http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?infotype=AN&subtype=CA&htmlfid=897/ENUSC14-014&appname=USN#214-110

•  Maximo Inventory Insights on www.ibm.com

• http://www-03.ibm.com/software/products/en/maximo-inventory-insights

•  Maximo Inventory Insights on Service Engage • https://ibmserviceengage.com/inventory-insights

•  White Paper •  “Descriptive, predictive, prescriptive: Transforming facilities and asset management with

analytics” • http://www.ibm.com/common/ssi/cgi-bin/ssialias?subtype=WH&infotype=SA&appname=SWGE_TI_EA_USEN&htmlfid=TIW14162USEN&attachment=TIW14162USEN.PDF

•  Maximo Inventory Insights blog • http://www.servicemanagement360.com/2014/04/07/parts-parts-maybe

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Summary

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IBM Maximo Inventory Insights Pre-configured inventory decision support system,

delivered as a service

§  Pre-built analytics model to predict over-stock and out-of-stock conditions and provide optimal re-order management"

§  Pre-integrated software agent automatically acquires necessary data from Maximo database and delivers it to the analytics engine"

§  Provides insights on “stagnant” inventory"

§  Delivered as a service (SaaS)"

Reduces inventory holding costs by 10% in first year

Increases asset availability and utilization by avoiding parts outages

Automatically generates optimal stock re-order points

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© 2014 IBM Corporation 34

IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM’s sole discretion.

Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision.

The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract. The development, release, and timing of any future features or functionality described for our products remains at our sole discretion.

Performance  is  based  on  measurements  and  projec/ons  using  standard  IBM  benchmarks  in  a  controlled  environment.    The  actual  throughput  or  performance  that  any  user  will  experience  will  vary  depending  upon  many  factors,  including  considera/ons  such  as  the  amount  of  mul/programming  in  the  user’s  job  stream,  the  I/O  configura/on,  the  storage  configura/on,  and  the  workload  processed.    Therefore,  no  assurance  can  be  given  that  an  individual  user  will  achieve  results  similar  to  those  stated  here.  

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©  2014  IBM  Corpora/on  

Questions?

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Additional Information

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IBM Maximo Business Intelligence (BI) Packs Utilizes the power of Cognos to gain operational insight

on Maximo data

§  Multiple phase delivery starting now with availability to run on Maximo 7.5.0.3 and Cognos 10.1.1"

§  Provides workspaces and metrics for Work Orders, Assets, Asset Failure and Supply Chain!

§  Easy access via the ISM Library!

§  No additional charge for Maximo customers"

Targets Power Users and their skill set providing a very effective combination in analyzing Maximo data

Built on industry-leading Cognos business intelligence software

No Maximo code or database modifications are required to utilize this functionality

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IBM TRIRIGA Workplace Performance Management (WPM) Descriptive analytics suite to manage facilities, real

estate and projects

§  Pre-configured and role-specific dashboards"

§  Plan-vs-actual comparisons"

§  Over 300 metrics, KPI’s, variables, views and dimensions"

§  Optional extensions to TRIRIGA Operations, Real Estate, Project and Facility Management offerings"

Increase facility and real estate utilization

Reduce project over-runs and decrease project slips through function-specific metrics

Improve budgeting, forecasting, buy-vs-rent and expand-vs-consolidate decisions

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IBM Maximo Scheduler Optimization Prescribes lowest-cost, highest-utilization schedules for

work forces, automatically

§  Descriptive analytics compares the target, scheduled and actual utilization and cost of schedules"

§  Pre-configured schedule-specific rules engine accounts for skills, location, travel time, priorities"

§  Drag-and-drop team assignments accelerates schedule optimization"

§  Schedule compliance metric"

Increases work team utilization and lowers travel cost

Increases service level and degree of regulatory compliance

Reduces duplicate work and decreases service delays through automatic re-optimization for emergency situations

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IBM TRIRIGA TREES Tracks energy usage and highlights high-ROI energy

savings projects

§  Pre-built dashboards with descriptive analytics metrics and KPI’s for energy consumption!

§  Scenario modeling to modify resource-intensive assets, facilities and processes"

§  Automated carbon accounting and reporting"

§  Optimization analytics for comparing investment options!

Identifies optimal energy-savings projects, per organizational financial and compliance goals

Increases overall return on capital required for energy management

Integrates with TRIRIGA suite to drive operational actions and capital planning for projects

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IBM Predictive Maintenance and Quality (PMQ) Automate execution based on insights from operational data to

increase predictability of outcomes !§  Big Data, Predictive Analytics software and services

with a pre-built solution framework "§  Analyzes structured, unstructured and streaming

information to determine asset performance"§  Predicts asset failure to optimize quality and supply

chain processes for asset management"§  Integrates data and predictive insights with Maximo to

proactively enable corrective actions!

Reduces repeat repairs by up to 50%

Reduces overall accident rates by 20% or more

Reduces utility network incidents by up to 41%