Using Predictive Maintenance to Approach Zero Downtime

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Using Predictive Maintenance to Approach Zero Downtime"

Transcription

1 SAP Thought Leadership Paper Predictive Maintenance Using Predictive Maintenance to Approach Zero Downtime How Predictive Analytics Makes This Possible

2 Table of Contents 4 Optimizing Machine Maintenance 4 Reactive Versus Predictive Maintenance 5 Predictive Modeling 6 Predictive Maintenance Use Cases 6 Transportation 6 Manufacturing and Production 7 Utilities 8 Medical Equipment 8 Data Centers and Clouds 9 Enabling Predictive Maintenance 9 SAP Predictive Analytics 12 Learn More Paul Pallath, PhD Chief Data Scientist and Director, SAP Advanced Analytics, Dublin 2 / 12

3 With the Internet of Things, machine-to-machine communication, and connected systems, large volumes of high-velocity data streams are now available that capture the behavior of machines in real time. Companies can employ powerful new predictive analytics to perform modeling that enables predictive maintenance for these assets, with the goal of achieving zero downtime. 3 / 12

4 Optimizing Machine Maintenance REACTIVE VERSUS PREDICTIVE MAINTENANCE Until now, machine maintenance has been either reactive (performed when failure occurs) or based on some heuristic (such as servicing the machine every n hours of continuous operation). Parts that fail earlier than expected can be very expensive and time consuming for businesses, because the necessary tools, components, and people may not be available for immediate response resulting in machine downtime. But since such incidents are sporadic, it is not economically feasible for a company to stock all parts and tools and employ resources just to have them at the ready; this results in unnecessary costs. To counter this problem, companies perform scheduled maintenance using either statistical concepts like mean time to failure or other engineering practices based on historical experiences. However, this approach has its own challenge: parts can be replaced or serviced too frequently, which drives up costs unnecessarily. There are also instances where machines fail before the scheduled planned maintenance due to other reasons. With recent advances in the Internet of Things, machine-to-machine communication, and connected systems, it is possible to stream sensor readings from machines so their health can be monitored in real time. Due to the high velocity and volume of data being streamed, it is not humanly possible to check all sensor values. But advances in predictive analytics have made it possible to evaluate the changes in the patterns of the sensor readings and identify the chances of machine failure significantly in advance of the event. It is also possible to identify the probability of other parts failing in due course by analyzing the historical patterns of failures, so that preventive maintenance can be planned. Capturing the changes in patterns in the sensor feeds in real time, and using that information to predict a possible failure and schedule a proactive maintenance strategy, is called predictive maintenance. With the Internet of Things, machine-to-machine communication, and connected systems, sensor readings from machines can be streamed so their health can be monitored in real time. 4 / 12

5 PREDICTIVE MODELING Modeling for accurately predicting the probability of occurrences of rare events like machine failures events that occur very infrequently and are very hard to detect requires robust algorithms. Rare though they are, these events are normally associated with very high costs, so efforts to predict them are necessary. There are two related aspects that make building models for predicting rare events especially difficult. First, due to the very fact that they are rare, the training data does not contain many examples of these events. Given that such events are often complex (for example, the sensor readings at the time of failure may not point to the cause of failure, since the failure could have been the result of a buildup of several other events already reported as past sensor readings), it is often not easy to generalize from the few available examples. Second, depending on how predictive algorithms are configured and what underlying cost functions are, classifiers or models might completely ignore the rare event. Therefore, special attention should be given to the choice of performance metric being used in general and, more important, for cases with unbalanced classes (where one class of responses is disproportionately larger than the opposite class). In addition to this, there are several other complexities: not all parts of a machine fail with the same frequency, the type of failure can vary, and more. Because sensor data is streamed in real time, it can have missing values or garbage values as well. The frequency at which each sensor transmits data can also vary. Hence data preparation and modeling techniques are needed to help prepare the data and build predictive models to address the nature of the problem and capture the necessary information to effectively predict the failure or breakdown of the machine. Accurately predicting the probability of occurrences of rare events like machine failures requires robust algorithms. 5 / 12

6 Predictive Maintenance Use Cases TRANSPORTATION The cost for maintaining an aging fleet of commercial, private, or military vehicles is high, but so is the cost of repairing relatively new vehicles when they break down. There is a great benefit in both cases to reducing the probability of a failure by performing preventive repairs and extending the useful life of the vehicle. Telemetric data coupled with predictive techniques makes this possible today. Telemetric data from thousands of sensors captures the real-time status of the various parts of a vehicle, which can be analyzed for actionable insights to improve the vehicle s safety and performance. For example: Vehicle manufacturers can use predictive analytics on sensor data to find the key factors that influence the fuel efficiency and performance of their vehicles and thus improve the engineering design. Vehicle manufacturers can use sensor data in combination with geolocation to understand the patterns of vehicle failure in different regions and then strategize what services to focus on in each region, and what spares to stock up on to give their customers the best service. Geolocation can be used to indicate to a connected car driver that there are likely potential problems with the car and it should be serviced at the nearest station. Vehicle sellers can analyze sensor data to predict the probability of a breakdown far ahead in time and proactively reach out to their customers to perform maintenance keeping the vehicles running and customer satisfaction high. For fleet owners and public transport departments, it is important to have their vehicles running all the time. Predictive analytics on real-time sensor data streams combined with fleet management systems will make it possible to plan predictive maintenance for fleet vehicles while they are on the road. This will help ensure that the vehicles are maintained at whatever location they are in, avoiding significant downtime and financial losses due to breakdown. MANUFACTURING AND PRODUCTION In manufacturing and production industries employing massive automatic machines, the health of the machines has a significant impact on the quality of the products produced. In addition, any machine downtime can lead to a delay in the production cycle and create a significant bottleneck in the entire production flow, resulting in heavy costs. The profit margins of a company can also be severely dented when machine failures result in substantial downtime. Technological advances have made it possible to collect huge volumes of sensor data and evaluate it to identify anomalies in the readings. For example: Predictive modeling techniques can be employed to predict the failure of a part far ahead in time and proactively replace the parts at the most convenient time in the production schedule to avoid any downtime. Predictive modeling can be used to identify the spare parts and the required tools that need to be stocked for minimizing downtime in manufacturing. 6 / 12

7 During the phases of production, there are often several paths that the product goes through before it is defined as scrap. Predictive modeling can help identify the sequence of paths that result in a high probability of a part being scrapped, and bring this to light far ahead in the production cycle, resulting in significant savings. Testing various mechanical parts during production is critical to ensure that the machines built with them are of the best quality and have optimal performance. For example, engines built for airplanes must be tested rigorously before they can be used. During production of these engines, sensors mounted into them help monitor their hundreds of components and capture the interactions of various engine parts. Predictive modeling can be employed to identify patterns that would result in an engine failure during the production phase itself, thus allowing necessary changes to be made. UTILITIES Power company operators and distributors face significant problems due to transmission losses, meters that have been tampered with, and spikes in demand. The distribution network is spread across large regions, and the network, generators, transformers, turbines, and smart meters are monitored for malfunctions. Any breakdown could result in significant revenue loss for an entire industrial sector or government. Similarly, with the significant advances in instrumentation technology, oil fields, rigs, and refineries have now become more digital. Data generated by thousands of sensors monitoring the functioning of various parts of the oilfield is streamed in real time to a centralized location. Predicting the possibility of a malfunction of any piece of equipment is critical so that corrective action can be taken before a disaster occurs. Predictive modeling can be employed on data that is captured in real time from the sensors connected to the distribution network, for predictive maintenance. In manufacturing, any machine downtime can delay the production cycle and create a significant bottleneck in the entire production flow, resulting in heavy costs. 7 / 12

8 For example: Predictive maintenance on assets such as gas pipes and electrical cables used across the grid can be an efficient and effective way to keep costs down, risks low, and availability high. Predictive modeling can be used to identify the probability of smart meters being tampered with and to plan preventive checks and maintenance of those meters. Sensor data from smart grids can be used for optimizing the grid and for identifying potential failures in the distribution network and scheduling planned preventive maintenance to help ensure zero downtime. MEDICAL EQUIPMENT The breakdown or malfunction of certain diagnostic and lifesaving or life-support equipment in medical and pathology labs can be catastrophic. Sensors within certain types of equipment are used to record human body responses to diagnose critical illness so that appropriate care and medication can be administered. It is therefore critical to monitor this equipment in real time to predict the probability of malfunction or breakdown and schedule preventive maintenance. DATA CENTERS AND CLOUDS Data volumes are growing rapidly, and organizations want to store all this data to mine information for any number of use cases in addition to predictive maintenance. This data is business critical and is typically stored on an elastic infrastructure in data centers. Many organizations are also now moving to the cloud because it is easy to make new services available to their clients, who benefit from the pay-per-use model. It is essential to have the data centers and cloud infrastructure up and running all the time. Unstructured data in the form of logs containing the status of various services running on the infrastructure, available in real time, can be mined for predicting the failure of various services and performing preventive maintenance to achieve zero downtime. 8 / 12

9 Enabling Predictive Maintenance SAP PREDICTIVE ANALYTICS SAP Predictive Analytics software has capabilities that make it a product of choice for building robust models for predicting rare events in the use cases just described. Predictive maintenance data is time series data derived from the readings from thousands of sensors streamed at high velocity at real time. Sensor readings reflect the state of the machine performance at that time. So the time series data must be transformed into a time-stamped population, and new derived features must be defined to find out what changes in the sensor readings over a period of time provide maximum information about the probability of failure of a machine. One of the several ways of modeling data is shown in Figure 1. Various statistical signatures of each sensor are captured for a specific lookback period and associated with a segment of data from the end of that period, to capture information of an event (such as machine failure) during that segment to use in building predictive models. Several such patterns can be generated at a step size equal to the forward segment size. The forward segment size defines the duration of the validity of the forward prediction that is, if the segment size is 10 minutes, then the model built will be able to give the probability of an event occurring in the next 10 minutes. The data manager component in SAP Predictive Analytics enables the user to create ultrawide analytical data sets for a time-stamped population, and automatically extract thousands of derived features that can be used for creating robust models. If the event describes whether the machine has failed or not, then the automated classification component in SAP Predictive Analytics can be used to identify the chances of machine failure based on the ultrawide data set generated by the data manager. On the other hand, if the event is recorded as a continuous number, then the automated regression component in SAP Predictive Analytics can be used to identify the relationship of the sensor with the target. The classification and regression algorithms can identify the key influencers that have the most information to explain the behavior of the event that is being modeled. They also identify the positive, negative, and neutral impact of the range of values of each sensor involved in the event, enabling the user to have an in-depth understanding of the causes leading to the modeled event. With SAP Predictive Analytics, the vast majority of predictive maintenance use cases can be handled automatically by a person with very little data science expertise. 9 / 12

10 Figure 1: Data Preparation for Streams of Sensor Data Raw sensor data stream Time stamp Machine ID Sensor ID Sensor value 18/01/ :32: Sensor /01/ :32: Sensor /01/ :32: Sensor /01/ :32: /01/ :32: Sensor n /01/ :32: Sensor /01/ :32: Sensor /01/ :32: Processed sensor data Machine ID: Time stamp Sensor 1 Sensor 2 Sensor 3... Sensor n 18/01/ :32: /01/ :32: /01/ :32: /01/ :32: Billions of rows low data density 2 Data transformation Look-back period Step size Time series data stream Normal event Abnormal event 3 Ultrawide data sets Millions of rows thousands of columns high information density Time stamp Machine ID Type Num. Sensors Max_Sensor 1 Min_Sensor 1 20/01/ :30 20/01/ : / 12

11 The automated time series in conjunction with an automated regression algorithm helps in problems related to forecasting, such as the remaining time before the machine or its parts break down in other words, the time to next maintenance. This is shown in Figure 2. The automated clustering component enables the user to find robust numbers of clusters in the data and can be used for problems like grouping machines behaving in a similar fashion and subsequent anomalies in the sensor data. Figure 2: Time to Next Maintenance On/off 1 0 Accumulated operating hours Time Next service Now 0 Predicted date 11 / 12

12 All the automated components build several models internally and choose the most robust models based on their predictive power and predictive confidence. Predictive confidence corresponds to the proportion of information contained in the target variable that the explanatory variables are able to explain in other words, the ability of the model to explain the target. Predictive power is the capacity of the model to achieve the same performance when it is applied to a new data set exhibiting the same characteristics as the training data set. This is the generalization ability or robustness of the model. The models can be easily integrated into business processes and can be scheduled for automatic retraining if there is significant deviation in the data or in the model s performance. The vast majority of predictive maintenance use cases can be handled with an automated approach, and the software can be easily used by a person with very little or no data science expertise. For the most complex problems, the expert analytics option in SAP Predictive Analytics provides a workbench where the automated algorithms can be combined with other prebuilt algorithms and with custom algorithms written using the R programming language. LEARN MORE SAP Predictive Analytics software is a powerful solution designed to address several predictive modeling use cases involving high-velocity data streams that capture machine behavior in real time. To find out more about how this software can help your company use predictive maintenance to achieve zero downtime, please contact your SAP representative or visit 12 / 12 Studio SAP 39044enUS (15/07)

13 No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP SE or an SAP affiliate company. SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries. Please see for additional trademark information and notices. Some software products marketed by SAP SE and its distributors contain proprietary software components of other software vendors. National product specifications may vary. These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or warranty of any kind, and SAP SE or its affiliated companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP SE or SAP affiliate company products and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty. In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation, and SAP SE s or its affiliated companies strategy and possible future developments, products, and/or platform directions and functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason without notice. The information in this document is not a commitment, promise, or legal obligation to deliver any material, code, or functionality. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions.

R49 Using SAP Payment Engine for payment transactions. Process Diagram

R49 Using SAP Payment Engine for payment transactions. Process Diagram R49 Using SAP Payment Engine for payment transactions Process Diagram Purpose, Benefits, and Key Process Steps Purpose The purpose of this scenario is to show you how to check the result of payment orders

More information

Partner Certification to Operate SAP Solutions and SAP Software Environments

Partner Certification to Operate SAP Solutions and SAP Software Environments SAP Information Sheet SAP Partner Innovation Lifecycle Services SAP Certification for Outsourcing Operations Partners Quick Facts Partner Certification to Operate SAP Solutions and SAP Software Environments

More information

Price and Revenue Management - Manual Price Changes. SAP Best Practices for Retail

Price and Revenue Management - Manual Price Changes. SAP Best Practices for Retail Price and Revenue Management - Manual Price Changes SAP Best Practices for Retail Purpose, Benefits, and Key Process Steps Purpose For the creation of manual price changes via the Price Planning Workbench,

More information

Cost-Effective Data Management and a Simplified Data Warehouse

Cost-Effective Data Management and a Simplified Data Warehouse SAP Information Sheet SAP Technology SAP HANA Dynamic Tiering Quick Facts Cost-Effective Data Management and a Simplified Data Warehouse Quick Facts Summary The SAP HANA dynamic tiering option helps application

More information

Leverage the Internet of Things to Transform Maintenance and Service Operations

Leverage the Internet of Things to Transform Maintenance and Service Operations SAP Brief SAP s for the Internet of Things SAP Predictive Maintenance and Service SAP Enterprise Asset Management Objectives Leverage the Internet of Things to Transform Maintenance and Service Operations

More information

Optimize Application Performance and Enhance the Customer Experience

Optimize Application Performance and Enhance the Customer Experience SAP Brief Extensions SAP Extended Diagnostics by CA Objectives Optimize Application Performance and Enhance the Customer Experience Understanding the impact of application performance Understanding the

More information

Information Technology Meets Operational Technology in the Internet of Things

Information Technology Meets Operational Technology in the Internet of Things SAP Brief SAP Extensions SAP HANA IoT Connector by OSIsoft Objectives Information Technology Meets Operational Technology in the Internet of Things Reimagine your entire business Reimagine your entire

More information

SuccessFactors Global Human Capital Management (HCM) Academy and Admin Training Schedule (Q3 Q4 2014)

SuccessFactors Global Human Capital Management (HCM) Academy and Admin Training Schedule (Q3 Q4 2014) SuccessFactors Global Human Capital Management (HCM) Academy and Admin Training Schedule (Q3 Q4 2014) The SuccessFactors Global HCM Training Schedule makes it easier to locate and enroll in the training

More information

The Edge Editions of SAP InfiniteInsight Overview

The Edge Editions of SAP InfiniteInsight Overview Analytics Solutions from SAP The Edge Editions of SAP InfiniteInsight Overview Enabling Predictive Insights with Mouse Clicks, Not Computer Code Table of Contents 3 The Case for Predictive Analysis 5 Fast

More information

Engage Customers with Service Excellence

Engage Customers with Service Excellence SAP Brief SAP Customer Relationship Management Customer Service s Objectives Engage Customers with Service Excellence It s time to rethink customer service It s time to rethink customer service Today s

More information

K88 - Additional Business Operations for Loans. Process Diagram

K88 - Additional Business Operations for Loans. Process Diagram K88 - Additional Business Operations for Loans Process Diagram K88 Additional Business Operations for Loans Payment Plan Change SAP UI/ A Financial Services ->Account Management -> Periodic Tasks -> Communication

More information

How to Deliver a Coordinated Customer Experience across Every Channel

How to Deliver a Coordinated Customer Experience across Every Channel E-Book NO. 83 How to Deliver a Coordinated Customer Experience across Every Channel SAP Center for Business Insight Brief Q&A Case Study Inquiry E-Book You Can t Kill Silos Organizational silos are like

More information

GR5 Access Request. Process Diagram

GR5 Access Request. Process Diagram GR5 Access Request Process Diagram Purpose, Benefits, and Key Process Steps Purpose This scenario uses business roles to show a new user access provisioning and also demo using simplified access request

More information

How to Import Contacts from Google.

How to Import Contacts from Google. How-To Guide SAP Digital for Customer Engagement Document Version: 1.0-2015-09-22 How to Import Contacts from Google. How to import contacts from Google Document History Document Version Description 1.0

More information

Reimagining Business with SAP HANA Cloud Platform for the Internet of Things

Reimagining Business with SAP HANA Cloud Platform for the Internet of Things SAP Brief SAP HANA SAP HANA Cloud Platform for the Internet of Things Objectives Reimagining Business with SAP HANA Cloud Platform for the Internet of Things Connect, transform, and reimagine Connect,

More information

Resource Management for the Oil and Gas Industry

Resource Management for the Oil and Gas Industry SAP Brief SAP Business Suite SAP Workforce Scheduling and Optimization by ClickSoftware Objectives Resource Management for the Oil and Gas Industry Optimized workforce scheduling with SAP software Optimized

More information

Keep Enterprise Assets Productive with Effective Master Data Governance

Keep Enterprise Assets Productive with Effective Master Data Governance SAP Brief SAP s for Enterprise Information Management SAP Master Data Governance, Enterprise Asset Management Extension by Utopia Objectives Keep Enterprise Assets Productive with Effective Master Data

More information

Protect Your Customers and Brands with Multichannel Two-Factor Authentication

Protect Your Customers and Brands with Multichannel Two-Factor Authentication SAP Brief Mobile Services from SAP SAP Authentication 365 Objectives Protect Your Customers and Brands with Multichannel Two-Factor Authentication Protecting your most valuable asset your customers Protecting

More information

University Competence Center: Leading a Co-Innovation Project on SAP Cloud Appliance Library

University Competence Center: Leading a Co-Innovation Project on SAP Cloud Appliance Library 2014 SAP SE or an SAP affiliate company. All rights reserved. University Competence Center: Leading a Co-Innovation Project on SAP Cloud Appliance Library Organization University Competence Center, an

More information

Driving Customer Value leveraging SAP s strategy for the Internet of Things Internet of Things Technology Forum Frankfurt

Driving Customer Value leveraging SAP s strategy for the Internet of Things Internet of Things Technology Forum Frankfurt Driving Customer Value leveraging SAP s strategy for the Internet of Things Internet of Things Technology Forum Frankfurt Sindhu Gangadharan VP & Head of Product Management SAP HCI, PI & FSN Personalized

More information

Automate Complex Pay Rules While Streamlining Time and Attendance Management

Automate Complex Pay Rules While Streamlining Time and Attendance Management SAP Brief SAP Extensions SAP Time and Attendance Management by WorkForce Software Objectives Automate Complex Pay Rules While Streamlining Time and Attendance Management Gaining real-time insights to help

More information

K75 SAP Payment Engine for Credit transfer (SWIFT & SEPA) Process Diagram

K75 SAP Payment Engine for Credit transfer (SWIFT & SEPA) Process Diagram K75 SAP Payment Engine for Credit transfer (SWIFT & SEPA) Process Diagram Purpose, Benefits, and Key Process Steps Purpose The purpose of this scenario is to describe and / or support testing of the entire

More information

Formulate Winning Sales and Operations Strategies Through Integrated Planning

Formulate Winning Sales and Operations Strategies Through Integrated Planning SAP Brief SAP Supply Chain Management SAP Sales and Operations Planning Objectives Formulate Winning Sales and Operations Strategies Through Integrated Planning Keep pace with rapidly changing market conditions

More information

Aditro: Increasing Contact Center Efficiency for Improved Customer Satisfaction

Aditro: Increasing Contact Center Efficiency for Improved Customer Satisfaction 2015 SAP SE or an SAP affiliate company. All rights reserved. Aditro: Increasing Contact Center Efficiency for Improved Customer Satisfaction Company Aditro Headquarters Sundbyberg, Sweden Industry, products,

More information

Multi Channel Sales Order Management: Mail Order. SAP Best Practices for Retail

Multi Channel Sales Order Management: Mail Order. SAP Best Practices for Retail Multi Channel Sales Order Management: Mail Order SAP Best Practices for Retail Purpose, Benefits, and Key Process Steps Purpose Multi Channel Sales Order Management: Mail Order describes a Business-to-Consumer

More information

Integrated Finance, Risk, and Profitability Management for Insurance

Integrated Finance, Risk, and Profitability Management for Insurance SAP Brief SAP for Insurance SAP Cost and Revenue Allocation for Financial Products Objectives Integrated Finance, Risk, and Profitability Management for Insurance Gain deep business insights Gain deep

More information

Enabling Competitive Advantage in Retail with Sales Insights

Enabling Competitive Advantage in Retail with Sales Insights SAP Solution in Detail Analytics Solutions from SAP SAP Sales Insights for Retail Enabling Competitive Advantage in Retail with Sales Insights Table of Contents 3 Quick Facts 4 Making Data-Driven Decisions

More information

The Business Case for Using Big Data in Healthcare

The Business Case for Using Big Data in Healthcare SAP Thought Leadership Paper Healthcare and Big Data The Business Case for Using Big Data in Healthcare Exploring How Big Data and Analytics Can Help You Achieve Quality, Value-Based Care Table of Contents

More information

FA7 - Time Management: Attendances/Absences/Overtime/Hajj Leave. Process Diagram

FA7 - Time Management: Attendances/Absences/Overtime/Hajj Leave. Process Diagram FA7 - Time Management: Attendances/Absences/Overtime/Hajj Leave Process iagram SAP ERP + RENEWAL Process Non-SAP Employee SAP ERP + RENEWAL (Personnel Administration) Organizational Management FA7 - Time

More information

Feature Engineering Tips for Data Scientists

Feature Engineering Tips for Data Scientists SAP White Paper Feature Engineering Feature Engineering Tips for Data Scientists Improving Your Predictive Modeling with More Data Table of Contents 4 The Art of Predictive Modeling 4 What Is Feature Engineering?

More information

4 Ways That Electric Vehicles Will Impact Utilities

4 Ways That Electric Vehicles Will Impact Utilities E-Book NO. 26 4 Ways That Electric Vehicles Will Impact Utilities SAP Center for Business Insight Brief Q&A Case Study Inquiry E-Book Though the number of electric vehicles is still relatively small, their

More information

EIS Reorder Point Planning

EIS Reorder Point Planning EIS Reorder Point Planning Reorder Point Planning Reorder point (ROP) planning is a consumption-based MRP procedure Order / Production is triggered when the total amount of on-hand and on-order stock falls

More information

Your Intelligent POS Solution: User-Friendly with Expert Analysis

Your Intelligent POS Solution: User-Friendly with Expert Analysis Overview SAP Customer Checkout with SAP Business One Challenges Your Intelligent POS : User-Friendly with Expert Analysis Central Overview of Sales Data Central Overview of Sales Data Cash and card payments,

More information

TMC Bonds: Reducing Financial Trading Platform Outages with SAP ASE Cluster Edition

TMC Bonds: Reducing Financial Trading Platform Outages with SAP ASE Cluster Edition 2015 SAP SE or an SAP affiliate company. All rights reserved. TMC Bonds: Reducing Financial Trading Platform Outages with SAP ASE Cluster Edition To keep exchanges and customer applications running, TMC

More information

Simplify Field Service Management with SAP Solutions

Simplify Field Service Management with SAP Solutions SAP Solution in Detail SAP Service and Support Field Service Management Solutions Simplify Field Service Management with SAP Solutions Table of Contents 3 Quick Facts 4 Resolve Service Issues While Developing

More information

Microgrids Digital Transformation

Microgrids Digital Transformation Microgrids Digital Transformation Maher Chebbo, PhD Energy General Manager Energy for EMEA SAP Maher.chebbo@sap.com President of ESMIG 2015 SAP SE or an SAP affiliate company. All reserved. ETP SmartGrids

More information

SAP Learning Hub: Your Competitive Advantage for a Career in SAP Solutions

SAP Learning Hub: Your Competitive Advantage for a Career in SAP Solutions Frequently Asked Questions SAP Learning Hub, Student Edition SAP Learning Hub: Your Competitive Advantage for a Career in SAP Solutions SAP edition, offers a range of educational content tailored to the

More information

Help Users Rapidly Adopt New Technology for a Faster Return on Investment

Help Users Rapidly Adopt New Technology for a Faster Return on Investment SAP Brief SAP Education SAP Learning Hub Objectives Help Users Rapidly Adopt New Technology for a Faster Return on Investment Encourage rapid adoption through effective user enablement Encourage rapid

More information

ABB: Independently Streamlining Its Organizational Setup with SAP Landscape Transformation

ABB: Independently Streamlining Its Organizational Setup with SAP Landscape Transformation Picture Credit ABB, Zurich, Switzerland. Used with permission. ABB: Independently Streamlining Its Organizational Setup with SAP Landscape Transformation With operations in over 100 countries, ASEA Brown

More information

Finding the signals in the noise. Niklas Packendorff @packendorff Solution Expert Analytics & Data Platform

Finding the signals in the noise. Niklas Packendorff @packendorff Solution Expert Analytics & Data Platform Finding the signals in the noise Niklas Packendorff @packendorff Solution Expert Analytics & Data Platform Legal disclaimer The information in this presentation is confidential and proprietary to SAP and

More information

Cut Costs and Improve Agility by Simplifying and Automating Common System Administration Tasks

Cut Costs and Improve Agility by Simplifying and Automating Common System Administration Tasks SAP Brief Objectives Cut Costs and Improve Agility by Simplifying and Automating Common System Administration Tasks Simplify management of SAP software landscapes Simplify management of SAP software landscapes

More information

Learning Without Limits

Learning Without Limits SAP Brief SAP Education SAP Learning Hub, Professional Edition Objectives Learning Without Limits Maximize the value of SAP software Maximize the value of SAP software The more you or your organization

More information

SAP-Managed Migration to SAP Business Suite powered by SAP HANA in the Cloud

SAP-Managed Migration to SAP Business Suite powered by SAP HANA in the Cloud SAP Services SAP-Managed Migration to SAP Business Suite powered by SAP HANA in the Cloud Table of Contents 6 Introducing the Discovery Package 8 Introducing the Live Migration Packages 10 Realize the

More information

SAP Best Practices Availability and Download Information for SAP Customers and SAP Partners. Prepackaged Industry & Cross-Industry Know-How

SAP Best Practices Availability and Download Information for SAP Customers and SAP Partners. Prepackaged Industry & Cross-Industry Know-How SAP Best Practices Availability and Download Information for SAP Customers and SAP Partners Prepackaged Industry & Cross-Industry Know-How Contents 1. Availability of SAP Best Practices 2. Downloading

More information

Warwick Analytics: Building Powerful Software Certified to Integrate with SAP HANA

Warwick Analytics: Building Powerful Software Certified to Integrate with SAP HANA SAP Success Story High Tech Warwick Analytics 2014 SAP SE or an SAP affiliate company. All rights reserved. Warwick Analytics: Building Powerful Software Certified to Integrate with SAP HANA Company Warwick

More information

SAP User Experience Strategy & Design Services

SAP User Experience Strategy & Design Services SAP User Experience Strategy & Design Services SAP Enterprise Support Info Day, Lausanne (Switzerland) September 3, 2014 Alexander Daum, Support Architect User Experience, SAP Active Global Support Disclaimer

More information

Automotive Consulting Solution. CHEP - EDI- Container Data

Automotive Consulting Solution. CHEP - EDI- Container Data Automotive Consulting Solution CHEP - EDI- Container Data Agenda 1. Benefit for the Customer 2. Description of the Function 3. The Function in the System 4. Technical Information 2 Customer Benefit Solution

More information

EMC: Managing Data Growth with SAP HANA and the Near-Line Storage Capabilities of SAP IQ

EMC: Managing Data Growth with SAP HANA and the Near-Line Storage Capabilities of SAP IQ 2015 SAP SE or an SAP affiliate company. All rights reserved. EMC: Managing Data Growth with SAP HANA and the Near-Line Storage Capabilities of SAP IQ Based on years of successfully helping businesses

More information

Optimizing Asset Value and Performance with Enterprise Content Management

Optimizing Asset Value and Performance with Enterprise Content Management SAP Brief SAP Business Suite SAP Extended Enterprise Content Management by OpenText Objectives Optimizing Asset Value and Performance with Enterprise Content Management Improving asset management with

More information

Increase Your Speed and Flexibility with a Managed Cloud Deployment of SAP Software

Increase Your Speed and Flexibility with a Managed Cloud Deployment of SAP Software Partner Managed Cloud Increase Your Speed and Flexibility with a Managed Cloud Deployment of SAP Software Implement the most current version of world-class SAP software faster without the dedicated staffing

More information

Powering Content-Rich Customer Success Centers for Omnichannel Support

Powering Content-Rich Customer Success Centers for Omnichannel Support SAP Brief SAP Extensions SAP Knowledge Central by MindTouch Objectives Powering Content-Rich Customer Success Centers for Omnichannel Support Deliver knowledge when and where it s needed Deliver knowledge

More information

Simplify Invoice Processing for Complex, Project-Based Spend

Simplify Invoice Processing for Complex, Project-Based Spend SAP Brief Financial s from Ariba Ariba Services Invoicing Objectives Simplify Invoice Processing for Complex, Project-Based Spend Take the complexity out of services invoicing Take the complexity out of

More information

Thrive in Regulated Gas Markets with Enhancements for SAP Software

Thrive in Regulated Gas Markets with Enhancements for SAP Software SAP Brief SAP Extensions SAP Energy Data Management, Add-On for Gas Regulatory Compliance by PROLOGA Objectives Thrive in Regulated Gas Markets with Enhancements for SAP Software 2014 SAP SE or an SAP

More information

Add Location Intelligence and Analytics into Your BI, Dashboard, and Mobile Apps

Add Location Intelligence and Analytics into Your BI, Dashboard, and Mobile Apps SAP Brief Extensions SAP BusinessObjects BI Location Intelligence by Galigeo Objectives Add Location Intelligence and Analytics into Your BI, Dashboard, and Mobile Apps Location intelligence for geospatial

More information

Gain Contextual Awareness for a Smarter Digital Enterprise with SAP HANA Vora

Gain Contextual Awareness for a Smarter Digital Enterprise with SAP HANA Vora SAP Brief SAP Technology SAP HANA Vora Objectives Gain Contextual Awareness for a Smarter Digital Enterprise with SAP HANA Vora Bridge the divide between enterprise data and Big Data Bridge the divide

More information

SAP HANA Vora : Gain Contextual Awareness for a Smarter Digital Enterprise

SAP HANA Vora : Gain Contextual Awareness for a Smarter Digital Enterprise Frequently Asked Questions SAP HANA Vora SAP HANA Vora : Gain Contextual Awareness for a Smarter Digital Enterprise SAP HANA Vora software enables digital businesses to innovate and compete through in-the-moment

More information

Discover, Cleanse, and Integrate Enterprise Data with SAP Data Services Software

Discover, Cleanse, and Integrate Enterprise Data with SAP Data Services Software SAP Brief SAP s for Enterprise Information Management Objectives SAP Data Services Discover, Cleanse, and Integrate Enterprise Data with SAP Data Services Software Step up to true enterprise information

More information

ARI: Driving Results in Fleet Management on SAP HANA

ARI: Driving Results in Fleet Management on SAP HANA Partner ARI: Driving Results in Fleet Management on SAP HANA For more than 60 years, ARI has managed some of the most complex vehicle fleets on the road. The company does this through deep business insight

More information

Transform Audit Practices and Move Beyond Assurance

Transform Audit Practices and Move Beyond Assurance SAP Brief SAP s for Governance, Risk, and Compliance SAP Audit Management Objectives Transform Audit Practices and Move Beyond Assurance Advance along the technology curve Advance along the technology

More information

The Internet of Things and I4.0 is an Evolution. New Markets (e.g. maintenance hub operator) Data Driven. Services. (e.g. predictive.

The Internet of Things and I4.0 is an Evolution. New Markets (e.g. maintenance hub operator) Data Driven. Services. (e.g. predictive. Industrie 4.0 and Internet of Things July 9, 2015 The Internet of Things and I4.0 is an Evolution Business Impact 40-50% CAGR for M2M market until 2020* IoT Space Data Driven Services (e.g. predictive

More information

Accelerate Time to Value and Innovation Through Complete Contract Management

Accelerate Time to Value and Innovation Through Complete Contract Management SAP Brief Ariba s Ariba Contract Management Objectives Accelerate Time to Value and Innovation Through Complete Contract Management Objectives Drive spend compliance across all contract types Drive spend

More information

Managing Procurement with SAP Business One

Managing Procurement with SAP Business One SAP Product Brief SAP s for Small Businesses and Midsize Companies SAP Business One Objectives Managing Procurement with SAP Business One Integrate optimized procurement with the entire business Integrate

More information

Getting Smart About Revenue Recognition and Lease Accounting

Getting Smart About Revenue Recognition and Lease Accounting SAP Thought Leadership Paper Revenue Recognition and Lease Accounting Getting Smart About Revenue Recognition and Lease Accounting What the Rule Changes Mean for Your Business Table of Contents 4 New Rules

More information

Reduce Costs and Improve Materials Management with Mobile Technology

Reduce Costs and Improve Materials Management with Mobile Technology SAP Brief SAP Enterprise Asset Management SAP Inventory Manager for Maximo Objectives Reduce Costs and Improve Materials Management with Mobile Technology Streamline inventory processes for better asset

More information

PSM-PPM Integration SAP Product Structure Management

PSM-PPM Integration SAP Product Structure Management PSM-PPM Integration SAP Product Structure Management A PLM Consulting Solution PSM PPM Integration The PLM Consulting Solution PSM-PPM Integration integrates the display and management of PPM objects (e.g.:

More information

Adopt New SAP Software and Technology Early and Win

Adopt New SAP Software and Technology Early and Win SAP Brief SAP Service and Support SAP Early Adopter Care Objectives Adopt New SAP Software and Technology Early and Win Get a head start on innovation Get a head start on innovation Success in today s

More information

Centralize Supplier Information and Manage Performance

Centralize Supplier Information and Manage Performance SAP Brief Ariba s Ariba Supplier Information and Performance Management Objectives Centralize Supplier Information and Manage Performance Get the most value from your suppliers Get the most value from

More information

Complementary Demo Guide

Complementary Demo Guide Complementary Demo Guide Lockbox Payment Process SAP Business ByDesign SAP Business ByDesign Global August 15, 2014 SAP Cloud Reference Systems Table of Content 1 About this Document... 3 1.1 Purpose...

More information

Protect Your Connected Business Systems by Identifying and Analyzing Threats

Protect Your Connected Business Systems by Identifying and Analyzing Threats SAP Brief SAP Technology SAP Enterprise Threat Detection Objectives Protect Your Connected Business Systems by Identifying and Analyzing Threats Prevent security breaches Prevent security breaches Are

More information

Quality Data in Record Time with SAP Information Steward Accelerator

Quality Data in Record Time with SAP Information Steward Accelerator SAP Brief SAP Extensions SAP Information Steward Accelerator by BackOffice Associates Objectives Quality Data in Record Time with SAP Information Steward Accelerator Find your way out of the data quality

More information

An End-to-End Population Health Management for High Risk Patients

An End-to-End Population Health Management for High Risk Patients Summary Supporting Facts and Figures SAP HANA Solution Overview A fully integrated mobile in-home health infrastructure and data analytics solution for population health management An End-to-End Population

More information

The Innovation-Driven Enterprise

The Innovation-Driven Enterprise Summary Supporting Facts and Figures Segment Summary The Innovation-Driven Enterprise High Tech OEM The Innovation-Driven Enterprise High-Tech OEM Overview For high-tech OEMs, the ability to innovate is

More information

Mobile app for Android Version 1.2.x, December 2015

Mobile app for Android Version 1.2.x, December 2015 Mobile app for Android Version 1.2.x, December 2015 Introduction This app allows you to access SAP Business One, SAP s enterprise resource planning application for small businesses, anywhere and anytime.

More information

Find New Customers and Markets by Analyzing Mobile Network Operator Data

Find New Customers and Markets by Analyzing Mobile Network Operator Data SAP Brief SAP Mobile Services SAP Consumer Insight 365 Objectives Find New Customers and Markets by Analyzing Mobile Network Operator Data Mobile data a paradigm shift in connected consumer analytics Mobile

More information

Deliver Community-Powered Commerce to Optimize Revenue

Deliver Community-Powered Commerce to Optimize Revenue SAP Brief SAP Jam SAP Jam Communities Objectives Deliver Community-Powered Commerce to Optimize Revenue Drive revenue with community content optimized for commerce Drive revenue with community content

More information

Warehouse and Production Management with SAP Business One

Warehouse and Production Management with SAP Business One SAP Product Brief SAP s for Small Businesses and Midsize Companies SAP Business One Objectives Warehouse and Production Management with SAP Business One Real-time inventory and production management Real-time

More information

Build Your Brand and Increase Revenue Through Digital Channels

Build Your Brand and Increase Revenue Through Digital Channels SAP Brief Adobe Experience Manager from SAP Adobe Target from SAP Adobe Analytics from SAP Objectives Build Your Brand and Increase Revenue Through Digital Channels Engage customers with personalized content

More information

SAP Solution Manager: The IT Solution from SAP for IT Service Management and More

SAP Solution Manager: The IT Solution from SAP for IT Service Management and More SAP Solution Manager SAP Solution Manager: The IT Solution from SAP for IT Service Management and More Table of Contents 2 SAP Solution Manager A Fully Scalable IT Platform 3 Supporting 15 Certified ITIL

More information

SAP Audit Management A Preview

SAP Audit Management A Preview SAP Audit Management A Preview SAP AG November 2013 Customer 1 Agenda Business Challenges The Idea The Solution Roadmap Demo 2013 SAP AG. All rights reserved. Customer 2 Disclaimer The information in this

More information

OTE Group: Going Mobile with SAP Enterprise Support

OTE Group: Going Mobile with SAP Enterprise Support 2014 SAP AG or an SAP affiliate company. All rights reserved. OTE Group: Going Mobile with SAP Enterprise Support Company OTE Group of Companies A tradition of customer service Headquarters Muscat, Oman

More information

TAKISADA-OSAKA: Facilitating Sales, Speeding Delivery, and Improving Service with SAP Mobile Platform

TAKISADA-OSAKA: Facilitating Sales, Speeding Delivery, and Improving Service with SAP Mobile Platform TAKISADA-OSAKA: Facilitating Sales, Speeding Delivery, and Improving Service with SAP Mobile Platform One of Japan s leading textile wholesale distributors, TAKISADA-OSAKA CO., LTD. has been expanding

More information

Effortless Customer Service with SAP Cloud for Service

Effortless Customer Service with SAP Cloud for Service SAP Brief SAP CRM SAP Cloud for Service Objectives Effortless Customer Service with SAP Cloud for Service Discerning customers require expert service attention Discerning customers require expert service

More information

Maximize Spend Visibility and Turn Data into Actionable Intelligence

Maximize Spend Visibility and Turn Data into Actionable Intelligence SAP Brief Ariba s Ariba Spend Visibility Objectives Maximize Spend Visibility and Turn Data into Actionable Intelligence Good spend management begins with good spend visibility Good spend management begins

More information

Speed Business and Delight Customers with Signature Management

Speed Business and Delight Customers with Signature Management SAP Brief SAP Extensions SAP Signature Management by DocuSign Objectives Speed Business and Delight Customers with Signature Management Taking transactions to the cloud for speed and transparency Taking

More information

Automotive Consulting Solution. Warranty Management - Claim Copier

Automotive Consulting Solution. Warranty Management - Claim Copier Automotive Consulting Solution Warranty Management - Claim Copier Agenda 1. Benefit for the Customer 2. Description of the Function 3. The Function in the System 4. Technical Information 2 Customer Benefit

More information

Seoul National University Bundang Hospital: Transforming Patient Care and Data Access with SAP HANA

Seoul National University Bundang Hospital: Transforming Patient Care and Data Access with SAP HANA Picture Credit Seoul National University Bundang Hospital, Gyeonggi-do, South Korea. Used with permission. SAP Business Transformation Study Healthcare Seoul National University Bundang Hospital Seoul

More information

Run Better in Weeks to Address Current and Future Business Needs

Run Better in Weeks to Address Current and Future Business Needs SAP Brief SAP Rapid Deployment s Objectives Run Better in Weeks to Address Current and Future Business Needs Accelerate your time to value Accelerate your time to value Meeting core business objectives

More information

Project Proposal: SAP Big Data Analytics on Mobile Usage Inferring age and gender of a person through his/her phone habits

Project Proposal: SAP Big Data Analytics on Mobile Usage Inferring age and gender of a person through his/her phone habits George Mason University SYST 699: Masters Capstone Project Spring 2014 Project Proposal: SAP Big Data Analytics on Mobile Usage Inferring age and gender of a person through his/her phone habits February

More information

Downport to SAP GUI for documents Access Control Management

Downport to SAP GUI for documents Access Control Management Access Control Management A PLM Consulting Solution Public The PLM Consulting Solution Downport to SAP GUI for documents streamlines the process of managing project authorizations based on SAP PLM 7 Access

More information

China Grand Auto: Partnering with SAP on a State-of-the-Art Platform for a Multibrand Dealer Group

China Grand Auto: Partnering with SAP on a State-of-the-Art Platform for a Multibrand Dealer Group 2015 SAP SE or an SAP affiliate company. All rights reserved. China Grand Auto: Partnering with SAP on a State-of-the-Art Platform for a Multibrand Dealer Group Company China Grand Automotive Services

More information

Surrey County Council: Better Business Intelligence with Help from SAP Enterprise Support

Surrey County Council: Better Business Intelligence with Help from SAP Enterprise Support 2014 SAP SE or an SAP affiliate company. All rights reserved. Surrey County Council: Better Business Intelligence with Help from SAP Enterprise Support Organization Surrey County Council Location Surrey,

More information

Managing Customer Relationships with SAP Business One

Managing Customer Relationships with SAP Business One SAP Brief SAP s for Small Businesses and Midsize Companies SAP Business One Objectives Managing Customer Relationships with SAP Business One Win new customers and forge better relationships Win new customers

More information

Build Better Social Relationships and Realize Better Results

Build Better Social Relationships and Realize Better Results SAP Brief Adobe Marketing s from SAP Adobe Social from SAP Objectives Build Better Social Relationships and Realize Better Results Develop relationships that work for you and your customers Develop relationships

More information

SAP Best Practices for SAP Mobile Secure Cloud Configuration March 2015

SAP Best Practices for SAP Mobile Secure Cloud Configuration March 2015 SAP Best Practices for SAP Mobile Secure Cloud Configuration March 2015 2014 SAP SE or an SAP affiliate company. All rights reserved. No part of this publication may be reproduced or transmitted in any

More information

Kennametal: Gaining Transparency in IT and Business with SAP Enterprise Support

Kennametal: Gaining Transparency in IT and Business with SAP Enterprise Support 2014 SAP AG or an SAP affiliate company. All rights reserved. Picture Credit Kennametal, Latrobe, PA/USA. Used with permission. Kennametal: Gaining Transparency in IT and Business with SAP Enterprise Support

More information

Financial Management with SAP Business One

Financial Management with SAP Business One SAP Product Brief SAP SME s SAP Business One Objectives Financial Management with SAP Business One Integrated, comprehensive financial management Integrated, comprehensive financial management As your

More information

Analyze, Validate, and Optimize Business Application Performance

Analyze, Validate, and Optimize Business Application Performance SAP Brief SAP Extensions SAP LoadRunner by HPE Objectives Analyze, Validate, and Optimize Business Application Performance Test performance throughout the application lifecycle Test performance throughout

More information

Software and Delivery Requirements

Software and Delivery Requirements SAP HANA Big Data Intelligence rapiddeployment solution November 2014 English SAP HANA Big Data Intelligence rapiddeployment solution: Software and Delivery Requirements SAP SE Dietmar-Hopp-Allee 16 69190

More information

Sync, Share, and Store Information Across Devices Effectively and Securely

Sync, Share, and Store Information Across Devices Effectively and Securely SAP Brief SAP Technology SAP Tempo Box by OpenText Objectives Sync, Share, and Store Information Across Devices Effectively and Securely Connect mobile users with enterprise content management Connect

More information