Www.reportinghouse.com Leveraging Maximo data to increase Asset effectiveness & ROI through...

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Leveraging Maximo data to increase Asset effectiveness & ROI

through Analytics

Presenters:

Samir Vyas, Director, Business DevelopmentPankaj Shetye, Sr. Project Manager

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Agenda

1. Data explosion in Maximo2. Business Analytics – What is it?3. Growth of Analytics 4. Common Statistical techniques used in Analytics 5. Challenges of doing Analytics6. Readiness assessment questionnaire7. Strengths of Maximo data 8. Success factors9. Business Use Cases in Maximo10.Interactive discussion

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Data Explosion in Maximo

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Business Analytics

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Business Analytics … defined

Business analytics refers to:

the skills, technologies, applications and practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning.

Source: Wikipedia

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Growth of Analytics

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Common Statistical techniques used in Analytics

• Weibull distribution• Regression Analysis• Time Series Exponential Smoothing• Clustering• Decision Tree• Pareto Analysis• Control Charts• Histograms• Trend Analysis

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Challenges of doing Analytics

• Obtaining support from the TOP

• Establishing an Analytics culture across the organization

• Hiring and retaining right people

• Creating a single enterprise wide analytics initiative

• Models are difficult to build and maintain

• Using the right technology

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Readiness assessment questionnaire

• Are we on a shaky foundation?• Are we using analytics – really?• Do our people even want a data democracy?• Are we measuring the right things?• When KPIs talk, who is supposed to act?• Do we really have a handle on costs?• Are we just watching the dials or moving them?• Are we strategizing from the top or justifying from

the bottom?• Are we locking analytics in an ivory tower

(strategic, analytical & operational)

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Strengths of Maximo data

• Single source for work management data

• GL accounts and related expenditure

• Inventory data

• Material requests, Purchase requests and purchase orders

• Service request data

• Integrated asset management

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Success factors

• Create a solid data foundation

• Look beyond the spreadsheet to predictive analytics and forecasting

• Identify and address cultural barriers to information sharing

• Use analytics to identify a limited set of metrics that really drive the business

• Implement processes and accountability to act on performance metrics

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Success factors (cont’d)

• Look beyond gut forecasting to analytically derived forecasts

• Blend multiple forecasting methods to maximize predictive accuracy

• Adopt activity-based costing for a more accurate picture of profitability

• Don’t be satisfied with hindsight; use analytics to improve, learn and evolve

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What-If Analysis

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Root Causes for Failures : Pareto Analysis

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Reduce Shutdown and Downtime

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Monitoring Cost and Number of Failures

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Advanced Reliability Analysis

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Interactive discussion

What are your current successes and challenges of analyzing and effectively utilizing Maximo data?

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Thank you

Samir Vyas sam.vyas@reportinghouse.com919-345-1728

Pankaj Shetye pankaj.shetye@reportinghouse.com