Seismi were invited to present a recent case study of a recent Oracle Hyperion DRM (Data Relationship Manager) and EPM installation. The case study outlines the benefits that Oracle DRM can deliver particularly the elimination of the risks of human middleware and the introduction of a fully automated and integrated financial process.
There is a description by Seismi's client's CFO and project sponsor at the outset as well as the client's reaction to the solution, which Seismi continues to support.
The case study highlighted the flexibility of DRM to be at the core of its network and its ability to integrate with multiple vendors
This document summarizes an approach to service-oriented architecture (SOA) that was applied to two complex integration systems - an Electronic Health Folder system and a Regional Administration Accounting System. It describes the requirements of integrating heterogeneous legacy systems while allowing incremental development. It then summarizes the key patterns used in the SOA including: a data dictionary, service interface design, business object materialization/dematerialization, business object views, dividing services, and versioning.
The document provides an overview of SAP Plant Maintenance (SAP PM) including:
1) It discusses the organizational structure for maintenance planning including centralized vs decentralized structures.
2) It outlines the key master data used in SAP PM such as technical objects, work centers, maintenance plans, and tasks lists.
3) It describes some of the main maintenance processing scenarios in SAP PM like maintenance notifications, maintenance orders, and preventative maintenance planning.
Plant maintenance in SAP involves various modules and processes. Key modules include equipment master records, functional locations, bills of material, and work centers. There are processes for corrective, preventative, and project maintenance. Corrective maintenance follows a cycle of notification, planning, scheduling, execution, and completion using maintenance orders.
The document provides an overview of enterprise resource planning (ERP). It describes ERP as a fully integrated business management system that organizes processes and information flows across various functional areas like logistics, production, finance, accounting, and human resources. The document outlines the characteristics of an ERP system and discusses challenges in ERP implementation such as customizing the system, defining roles and responsibilities, and gaining employee acceptance of new processes. It also lists the typical steps involved in implementing an ERP package, which include identifying needs, evaluating current processes, selecting a software package, and training users.
The document discusses a plant maintenance module for an ERP system. It includes components like breakdown repair logs, equipment registers, and preventive maintenance records. The purpose is to inspect equipment condition, perform preventive maintenance, and repair equipment to maintain ideal conditions. Integrating maintenance into ERP software can reduce data entry time and allow more thorough evaluation of maintenance data. A SWOT analysis identifies strengths, weaknesses, opportunities, and threats of the module.
Successful Contract Management With SAP: Ensuring Your Team Reduces Spend While Increasing Performance. End to end procurment with SAP in the context of plant maintenance and projects.
This document provides information about archiving processes and functions for various objects in SAP's Plant Maintenance and Customer Service (PM/CS) module, including equipment, functional locations, serial number histories, measurement documents, and maintenance notifications. For each archiving object, the document outlines application-specific features, customizing options, dependencies, authorization requirements, and logs to view archived objects or monitor the archiving process. The goal of archiving is to optimize system performance by removing old, inactive master data from the database.
Collaborate 2012-business data transformation and consolidation for a global ...Chain Sys Corporation
This document provides an overview of a data transformation and consolidation project for a global energy services company. The project involved migrating master, referential, and transactional data to new business organizations following a demerger. Key aspects of the project included:
1. Developing strategies to deal with multiple organizational consolidations and discussing both manual and automated tools used to create the new business entity.
2. Following a structured process and techniques to extract, transform, cleanse and load data from legacy systems to a new Oracle E-Business Suite R12.1.3 implementation.
3. Learning lessons around mitigating business risks associated with complex data migration projects involving business process re-engineering and new regulatory and tax
This document summarizes an approach to service-oriented architecture (SOA) that was applied to two complex integration systems - an Electronic Health Folder system and a Regional Administration Accounting System. It describes the requirements of integrating heterogeneous legacy systems while allowing incremental development. It then summarizes the key patterns used in the SOA including: a data dictionary, service interface design, business object materialization/dematerialization, business object views, dividing services, and versioning.
The document provides an overview of SAP Plant Maintenance (SAP PM) including:
1) It discusses the organizational structure for maintenance planning including centralized vs decentralized structures.
2) It outlines the key master data used in SAP PM such as technical objects, work centers, maintenance plans, and tasks lists.
3) It describes some of the main maintenance processing scenarios in SAP PM like maintenance notifications, maintenance orders, and preventative maintenance planning.
Plant maintenance in SAP involves various modules and processes. Key modules include equipment master records, functional locations, bills of material, and work centers. There are processes for corrective, preventative, and project maintenance. Corrective maintenance follows a cycle of notification, planning, scheduling, execution, and completion using maintenance orders.
The document provides an overview of enterprise resource planning (ERP). It describes ERP as a fully integrated business management system that organizes processes and information flows across various functional areas like logistics, production, finance, accounting, and human resources. The document outlines the characteristics of an ERP system and discusses challenges in ERP implementation such as customizing the system, defining roles and responsibilities, and gaining employee acceptance of new processes. It also lists the typical steps involved in implementing an ERP package, which include identifying needs, evaluating current processes, selecting a software package, and training users.
The document discusses a plant maintenance module for an ERP system. It includes components like breakdown repair logs, equipment registers, and preventive maintenance records. The purpose is to inspect equipment condition, perform preventive maintenance, and repair equipment to maintain ideal conditions. Integrating maintenance into ERP software can reduce data entry time and allow more thorough evaluation of maintenance data. A SWOT analysis identifies strengths, weaknesses, opportunities, and threats of the module.
Successful Contract Management With SAP: Ensuring Your Team Reduces Spend While Increasing Performance. End to end procurment with SAP in the context of plant maintenance and projects.
This document provides information about archiving processes and functions for various objects in SAP's Plant Maintenance and Customer Service (PM/CS) module, including equipment, functional locations, serial number histories, measurement documents, and maintenance notifications. For each archiving object, the document outlines application-specific features, customizing options, dependencies, authorization requirements, and logs to view archived objects or monitor the archiving process. The goal of archiving is to optimize system performance by removing old, inactive master data from the database.
Collaborate 2012-business data transformation and consolidation for a global ...Chain Sys Corporation
This document provides an overview of a data transformation and consolidation project for a global energy services company. The project involved migrating master, referential, and transactional data to new business organizations following a demerger. Key aspects of the project included:
1. Developing strategies to deal with multiple organizational consolidations and discussing both manual and automated tools used to create the new business entity.
2. Following a structured process and techniques to extract, transform, cleanse and load data from legacy systems to a new Oracle E-Business Suite R12.1.3 implementation.
3. Learning lessons around mitigating business risks associated with complex data migration projects involving business process re-engineering and new regulatory and tax
This document provides an introduction to SAP ERP and the company Global Bike Inc. that will be used for examples. It describes the core SAP ERP modules like Sales and Distribution, Materials Management, Production Planning, etc. It also outlines Global Bike Inc.'s business processes and organizational structure. Finally, it introduces the sales and distribution (SD) module and how SD is organized in SAP ERP.
Solvency II -The Practicalities Around Programme Governance & Data gainline
Solvency II is the largest regulatory change to bring insurers and reinsurers under one regime. It impacts all areas of business operations. Early adopters are helping set industry standards. Each company's Solvency II solution will depend on inputs from various functions and disciplines. The presentation discusses the importance of governance, risk management, and high-quality data integration across all business lines to ensure compliance.
This document describes a process for preventive maintenance. Key steps include maintaining maintenance strategies, entering task lists for equipment, creating maintenance plans, scheduling maintenance plans, processing maintenance orders, confirming orders, issuing goods, receiving goods, verifying invoices, completing orders, and settling orders. The process aims to ensure high availability of assets through planned maintenance to avoid breakdowns and their associated costs.
Gestión de Gobierno, Riesgos y Reglamentaciones (GRC)Rafael Antona
SoftExpert GRC Suite - Gestión Gobierno, Riesgos y Reglamentaciones - ofrece una estructura del gobierno corporativo que posibilita la toma de decisiones eficaces y cambios de comportamiento organizacional Ofrece a la organización una implementación viable y eficiente del gobieno corporativo y de TI.
Newgen Software provides an efficient claims processing solution for a frontline IT organization's shared service center. The solution integrates with SAP R/3 for maximum benefits. It replaces a manual claims processing system that was inefficient. The Newgen BPM solution integrates with SAP R/3 and allows employees to submit claims electronically. It routes claims for approval and archives approved or rejected claims. The client saw massive productivity gains, better claims tracking, and an 80% reduction in claims processing time.
This presentation is about the working of project systems. Also the presentation explains about the working of Success Factors. ITChamps offered this solution to one of it's customer, we provided SAP project systems (FICO, MM SD) and Success Factors.
Business process flexibility in service compositionIESS
The document discusses business process flexibility in service composition. It evaluates the flexibility of BPEL and PDDL for defining business processes. BPEL defines processes as activities sequences tied to specific services, limiting flexibility. PDDL defines processes as goal states achievable through planning domains and actions, allowing dynamic process changes. The document concludes PDDL better supports flexibility but is difficult for non-technical users to define processes.
Case Study by Ramco - Petroleum HelicoptersRamco Systems
- Petroleum Helicopters Inc. (PHI) is a leading helicopter company that transports passengers and provides services to the oil and gas industry.
- PHI lacked visibility and real-time data across its 200 global locations due to disparate data sources, leading to delays and inaccurate information.
- PHI implemented Ramco DecisionWorks to integrate data from various systems into a centralized data warehouse, providing automated collation and multidimensional reports with KPIs for business users. This enabled improved financial analysis, reduced aircraft downtime, and enhanced marketing and safety analysis.
Hopper Development is an SAP consulting firm headquartered in Calgary, Canada with an offshore team in Bengaluru, India. They offer end-to-end SAP implementation services including requirement gathering, design, implementation, and support. Hopper has experience implementing SAP solutions for finance, sales, distribution, materials management, and more across industries in Europe, North America, and India. They follow the ASAP methodology and have expertise in SAP modules, technologies, and solutions like BI, GRC, FI, SD, MM, PP, and HCM.
R12financialsupgrade22010 12659159458494-phpapp01Berry Clemens
This document outlines an agenda for a webinar on upgrading to Oracle R12 Financials. The agenda includes sections on investing in Oracle R12, improvements in R12 Financials such as the new architecture and features in subledger accounting, keys to success like planning and testing tips, and technical planning considerations. The document provides details on various new and enhanced features in areas like payables, receivables, procurement and the user experience in R12.
Webcast: Is it Possible to Have Too Many Tools? Featuring George Spalding of ...CA Nimsoft
We’re not talking garden tools or carpentry tools or mechanic’s tools, we are talking ITSM Tools. And the answer is a resounding YES!
Wait a Minute! Is this a webinar, sponsored by a tool vendor, telling me that I should not buy every tool that comes down the pike? Another resounding YES!
Pink Elephant and Nimsoft each have direct (and repeated) experience indicating that most organizations have NO Enterprise-wide strategy governing the acquisition, support, management and retirement of the tools used to run IT. Nearly every tool in the IT inventory is recommended, funded, acquired, and managed by a single technical silo…without the slightest nod to any other department, group or technical function. Unquestionably, the largest undiscovered source of IT operational savings is the elimination of redundant or vastly underutilized toolsets. Acquiring the right tools at the right time for the right reasons is the answer.
The document discusses advanced financial controls in Oracle's R12 system. It describes how advanced controls augment standard ERP controls, bridge the gap between policy creation and transaction systems, and automate policy enforcement to deliver business process efficiency across multiple systems. Specific processes that would be impacted include financial close and reporting, order to cash, procure to pay, and travel and expense. Types of automated controls include segregation of duties, application configuration, and transaction monitoring.
This document summarizes a presentation on business process improvement. It discusses managing knowledge as an asset using the Deming cycle of plan-do-check-act. The presentation recommends standardizing business terminology and processes to promote a consistent way of doing business across contracts. An example process for optimizing routine maintenance is outlined with key steps such as identifying defects, scheduling work, and reviewing productivity results.
Microsoft Business Intelligence Performance Management Dan Bulos_2011Mark Ginnebaugh
Dan Bulos, President of Symmetry Corporation discusses how to use Analysis Services to create a robust dashboard and scorecard application.
You Will Learn:
* Why a PM application is unique and how to design a solution
* How to create a “Spine” of metrics and KPIs to integrate data and targets into a coherent data design
* About different scoring methodologies
* How to create a KPI scoring engine within SSAS
* How to explain performance using visualizations
The document provides a comparison of Oracle's Global Consolidation System (GCS) and Hyperion Financial Management (HFM). It finds that HFM uses more current and robust technology, including an n-tier architecture, that allows for widespread deployment and increased scalability. Maintenance is also deemed easier in HFM, as functions can be performed using the open and easy-to-learn VBScript rather than Oracle's PL/SQL. In conclusion, the document determines that HFM's architecture is technically superior to GCS based on its scalability and flexibility.
Transparency, Productivity and What-If Modeling with HPCMAlithya
A real-life example of an HPCM implementation, replacing an existing cost allocation solution (Prodacapo).
The key features of HPCM will be reviewed, underlining the benefits provided in terms of Productivity, Traceability and Reporting and Analysis.
Webinar: The Whys and Hows of Predictive Modelling Edureka!
Predictive analytics is a great technology that can help in identifying the origin of a problem before it actually happens. It involves the collective experience of an organization that helps in taking better decisions in the future. It has many strategic advantages as it allows a company in becoming the leader when the changes actually happen. Predictive Analytics is considered a boon for the organizations to grow in the highly competitive market.
Topics covered:
1. Beyond OLS: What real life data-sets look like!
2. Decoding Forecasting
3. Handling real life datasets & Building Models in R
4. Forecasting techniques and Plots
A talk given by Eugene Dubossarsky on predictive analytics at the Big Data Analytics meetup in Sydney this month. The talk is available at http://www.youtube.com/watch?v=aG16YSFgtLY
This document provides an introduction to SAP ERP and the company Global Bike Inc. that will be used for examples. It describes the core SAP ERP modules like Sales and Distribution, Materials Management, Production Planning, etc. It also outlines Global Bike Inc.'s business processes and organizational structure. Finally, it introduces the sales and distribution (SD) module and how SD is organized in SAP ERP.
Solvency II -The Practicalities Around Programme Governance & Data gainline
Solvency II is the largest regulatory change to bring insurers and reinsurers under one regime. It impacts all areas of business operations. Early adopters are helping set industry standards. Each company's Solvency II solution will depend on inputs from various functions and disciplines. The presentation discusses the importance of governance, risk management, and high-quality data integration across all business lines to ensure compliance.
This document describes a process for preventive maintenance. Key steps include maintaining maintenance strategies, entering task lists for equipment, creating maintenance plans, scheduling maintenance plans, processing maintenance orders, confirming orders, issuing goods, receiving goods, verifying invoices, completing orders, and settling orders. The process aims to ensure high availability of assets through planned maintenance to avoid breakdowns and their associated costs.
Gestión de Gobierno, Riesgos y Reglamentaciones (GRC)Rafael Antona
SoftExpert GRC Suite - Gestión Gobierno, Riesgos y Reglamentaciones - ofrece una estructura del gobierno corporativo que posibilita la toma de decisiones eficaces y cambios de comportamiento organizacional Ofrece a la organización una implementación viable y eficiente del gobieno corporativo y de TI.
Newgen Software provides an efficient claims processing solution for a frontline IT organization's shared service center. The solution integrates with SAP R/3 for maximum benefits. It replaces a manual claims processing system that was inefficient. The Newgen BPM solution integrates with SAP R/3 and allows employees to submit claims electronically. It routes claims for approval and archives approved or rejected claims. The client saw massive productivity gains, better claims tracking, and an 80% reduction in claims processing time.
This presentation is about the working of project systems. Also the presentation explains about the working of Success Factors. ITChamps offered this solution to one of it's customer, we provided SAP project systems (FICO, MM SD) and Success Factors.
Business process flexibility in service compositionIESS
The document discusses business process flexibility in service composition. It evaluates the flexibility of BPEL and PDDL for defining business processes. BPEL defines processes as activities sequences tied to specific services, limiting flexibility. PDDL defines processes as goal states achievable through planning domains and actions, allowing dynamic process changes. The document concludes PDDL better supports flexibility but is difficult for non-technical users to define processes.
Case Study by Ramco - Petroleum HelicoptersRamco Systems
- Petroleum Helicopters Inc. (PHI) is a leading helicopter company that transports passengers and provides services to the oil and gas industry.
- PHI lacked visibility and real-time data across its 200 global locations due to disparate data sources, leading to delays and inaccurate information.
- PHI implemented Ramco DecisionWorks to integrate data from various systems into a centralized data warehouse, providing automated collation and multidimensional reports with KPIs for business users. This enabled improved financial analysis, reduced aircraft downtime, and enhanced marketing and safety analysis.
Hopper Development is an SAP consulting firm headquartered in Calgary, Canada with an offshore team in Bengaluru, India. They offer end-to-end SAP implementation services including requirement gathering, design, implementation, and support. Hopper has experience implementing SAP solutions for finance, sales, distribution, materials management, and more across industries in Europe, North America, and India. They follow the ASAP methodology and have expertise in SAP modules, technologies, and solutions like BI, GRC, FI, SD, MM, PP, and HCM.
R12financialsupgrade22010 12659159458494-phpapp01Berry Clemens
This document outlines an agenda for a webinar on upgrading to Oracle R12 Financials. The agenda includes sections on investing in Oracle R12, improvements in R12 Financials such as the new architecture and features in subledger accounting, keys to success like planning and testing tips, and technical planning considerations. The document provides details on various new and enhanced features in areas like payables, receivables, procurement and the user experience in R12.
Webcast: Is it Possible to Have Too Many Tools? Featuring George Spalding of ...CA Nimsoft
We’re not talking garden tools or carpentry tools or mechanic’s tools, we are talking ITSM Tools. And the answer is a resounding YES!
Wait a Minute! Is this a webinar, sponsored by a tool vendor, telling me that I should not buy every tool that comes down the pike? Another resounding YES!
Pink Elephant and Nimsoft each have direct (and repeated) experience indicating that most organizations have NO Enterprise-wide strategy governing the acquisition, support, management and retirement of the tools used to run IT. Nearly every tool in the IT inventory is recommended, funded, acquired, and managed by a single technical silo…without the slightest nod to any other department, group or technical function. Unquestionably, the largest undiscovered source of IT operational savings is the elimination of redundant or vastly underutilized toolsets. Acquiring the right tools at the right time for the right reasons is the answer.
The document discusses advanced financial controls in Oracle's R12 system. It describes how advanced controls augment standard ERP controls, bridge the gap between policy creation and transaction systems, and automate policy enforcement to deliver business process efficiency across multiple systems. Specific processes that would be impacted include financial close and reporting, order to cash, procure to pay, and travel and expense. Types of automated controls include segregation of duties, application configuration, and transaction monitoring.
This document summarizes a presentation on business process improvement. It discusses managing knowledge as an asset using the Deming cycle of plan-do-check-act. The presentation recommends standardizing business terminology and processes to promote a consistent way of doing business across contracts. An example process for optimizing routine maintenance is outlined with key steps such as identifying defects, scheduling work, and reviewing productivity results.
Microsoft Business Intelligence Performance Management Dan Bulos_2011Mark Ginnebaugh
Dan Bulos, President of Symmetry Corporation discusses how to use Analysis Services to create a robust dashboard and scorecard application.
You Will Learn:
* Why a PM application is unique and how to design a solution
* How to create a “Spine” of metrics and KPIs to integrate data and targets into a coherent data design
* About different scoring methodologies
* How to create a KPI scoring engine within SSAS
* How to explain performance using visualizations
The document provides a comparison of Oracle's Global Consolidation System (GCS) and Hyperion Financial Management (HFM). It finds that HFM uses more current and robust technology, including an n-tier architecture, that allows for widespread deployment and increased scalability. Maintenance is also deemed easier in HFM, as functions can be performed using the open and easy-to-learn VBScript rather than Oracle's PL/SQL. In conclusion, the document determines that HFM's architecture is technically superior to GCS based on its scalability and flexibility.
Transparency, Productivity and What-If Modeling with HPCMAlithya
A real-life example of an HPCM implementation, replacing an existing cost allocation solution (Prodacapo).
The key features of HPCM will be reviewed, underlining the benefits provided in terms of Productivity, Traceability and Reporting and Analysis.
Webinar: The Whys and Hows of Predictive Modelling Edureka!
Predictive analytics is a great technology that can help in identifying the origin of a problem before it actually happens. It involves the collective experience of an organization that helps in taking better decisions in the future. It has many strategic advantages as it allows a company in becoming the leader when the changes actually happen. Predictive Analytics is considered a boon for the organizations to grow in the highly competitive market.
Topics covered:
1. Beyond OLS: What real life data-sets look like!
2. Decoding Forecasting
3. Handling real life datasets & Building Models in R
4. Forecasting techniques and Plots
A talk given by Eugene Dubossarsky on predictive analytics at the Big Data Analytics meetup in Sydney this month. The talk is available at http://www.youtube.com/watch?v=aG16YSFgtLY
5 Benefits of Predictive Analytics for E-CommerceEdureka!
This document discusses predictive analytics and its applications. It provides an overview of predictive analytics, its lifecycle, common tools used like R and Python, and real-life examples of how organizations use predictive analytics. Specifically, it discusses how predictive analytics can be used for e-commerce, including predicting who is likely to buy, collecting and preparing data from Google Analytics to build predictive models, and provides a code demo.
Predictive analytics uses statistical techniques and business intelligence technologies to uncover relationships within large datasets to predict future behaviors or outcomes. While predictive analytics can provide benefits like reducing customer churn or improving marketing campaign response rates, it is not widely used due to complexity, underestimating value, high software costs, and reliance on good quality data. The document outlines best practices for predictive analytics including focusing on data management, expecting incremental improvements over time, measuring impact using business metrics, and gaining executive sponsorship for projects.
This document discusses churn management in mobile communications. It defines churn as customer attrition or loss and churn rate as the number of customers who discontinue service divided by the total number of customers. It identifies reasons for churn such as easy switching between providers and inadequate services. It discusses types of churn, data transformation for modeling, identifying customers' propensity to churn, and calculating customer profitability. Finally, it outlines strategies for reducing churn such as identifying valuable customers and developing win-back policies.
Introduction to Machine Learning (case studies)Dmitry Efimov
This document outlines a machine learning seminar discussing case studies and methods for machine learning problems. It discusses using regression, distance, and probability approaches like neural networks, support vector machines, and random forests. Two case studies are described: predicting social tie strength using 500+ features and stochastic gradient boosted decision trees, and predicting biological responses using functional ensembling of different machine learning algorithms. The document emphasizes the importance of avoiding overfitting by using cross-validation.
In our last paper we compared two alternate machine-learning techniques from
the Apache Mahout stable, namely: Apache Sparks’, spark-itemsimilarity, and its
counterpart Apache Hadoop’s MapReduce. We saw how Apache Spark was better
both qualitatively as well as quantitatively even for moderately sized sites.
In this paper, we look at how we can further optimize the efficiency of these runs
without compromising on quality. We determine how the two algorithms we
studied last time perform when run on all data available and when run only with
success data. In the e-commerce domain, success data is defined, as a subset of
the total data, which we heuristically believe, does not include noise.
The document discusses machine learning algorithms for predicting customer churn in a prepaid mobile network. It presents an overview of supervised and unsupervised learning techniques including support vector machines, k-nearest neighbors, neural networks, decision trees and naive Bayes. The document outlines features for a churn prediction model, describes a demo of the model using different algorithms, and evaluates the classification accuracy and churn rates.
Artificial Intelligence, Predictive Modelling and Chatbots: Applications in P...Nick Brown
Presentation by Hari Radhakrishnan (senior solution developer) and Josh Mesout (graduate developer), in my team at Deep Learning Summit in London on September 23rd 2016. Brief overview about how we have been exploring artificial intelligence and how predictive modelling has the potential to revolutionise what we do across the drug discovery and development process. Examples include recent exploratory work on AI chatbots and video facial sentiment detection.
Amazon Machine Learning Case Study: Predicting Customer ChurnAmazon Web Services
We do a deeper dive into Amazon Machine Learning, using a specific business problem as an example – predicting if the customer is about to leave your service, also known as customer churn. We examine several practical aspects of building and using a model, including the use of the recipe language for training data manipulation and modeling the costs of false positive/negative errors.
AWS re:Invent 2016: Predicting Customer Churn with Amazon Machine Learning (M...Amazon Web Services
In this session, we take a specific business problem—predicting Telco customer churn—and explore the practical aspects of building and evaluating an Amazon Machine Learning model. We explore considerations ranging from assigning a dollar value to applying the model using the relative cost of false positive and false negative errors. We discuss all aspects of putting Amazon ML to practical use, including how to build multiple models to choose from, put models into production, and update them. We also discuss using Amazon Redshift and Amazon S3 with Amazon ML.
This document discusses predicting customer churn for mobile operators to prevent customer loss, increase satisfaction and optimize network usage. It provides details on churn rates in India, data collection methods used including oversampling, and analysis performed on factors like network coverage, call quality and customer support to develop a churn prediction model. The analysis was conducted by a team of 7 people using techniques like p-value analysis, affinity diagramming and tweaking oversampling through trial and error.
The document discusses customer churn risk and how to develop predictive churn models. It defines risk as having two components: uncertainty and exposure to that uncertainty. When building a churn model, the key steps are: defining active vs churned customers, selecting relevant customer data, analyzing characteristics to identify predictors, developing a predictive score using methods like logistic regression, and evaluating the model's ability to identify customers likely to churn. The goal of a churn model is to provide insights for preventing churn, not just statistical precision.
Recommender Systems (Machine Learning Summer School 2014 @ CMU)Xavier Amatriain
The document summarizes a presentation on recommender systems given by Xavier Amatriain. It begins with introductions to recommender systems and collaborative filtering. Traditional collaborative filtering approaches include user-based and item-based methods. User-based CF finds similar users to a target user and recommends items they liked. Item-based CF finds similar items to those a target user liked and predicts ratings. Both approaches address sparsity and scalability challenges with dimensionality reduction techniques.
Big data is large amounts of unstructured data that require new techniques and tools to analyze. Key drivers of big data growth are increased storage capacity, processing power, and data availability. Big data analytics can uncover hidden patterns to provide competitive advantages and better business decisions. Applications include healthcare, homeland security, finance, manufacturing, and retail. The global big data market is expected to grow significantly, with India's market projected to reach $1 billion by 2015. This growth will increase demand for data scientists and analysts to support big data solutions and technologies like Hadoop and NoSQL databases.
UKOUG 2012 Metadata Management for Oracle Hyperion EPMOrchestra Networks
Orchestra Networks presentation at the UK Oracle User Group EPM & Hyperion conference on October 23, 2012. A streamlined approach to the management and governance of shared dimensions and hierarchies - the metadata for the Hyperion EPM Suite.
The document provides an overview of a pharmacovigilance resource calculator tool. It describes the objective of the tool is to help plan optimized staffing levels, especially during surges. It outlines the typical process for building the calculator which includes collecting workflow data, analyzing activities, documenting processes, and testing the calculator output. The tool's interface includes sections for inputting volume and staffing data and outputting budgeted, utilized, and optimized full-time employees and required staffing changes.
The document proposes upgrading Moorreesburg Pet Food Catering Company's ERP system to an ERP II system to improve supply chain management. It would involve reengineering their current ERP system and leveraging information across resources. The proposed ERP II system from SYSPRO would provide improved forecasting, distribution planning, order management and customer relationship tools. Benefits would include increased external integration, flexibility and worldwide integration across the supply chain. A phased implementation approach is outlined.
Streamlining Financial Statement Reporting: Demo of Cognos FSRSenturus
Learn how to automate close, consolidate, report and file (CCRF), a process that uses the best software and a more focused flow of information to manage and report information in a productive, collaborative and efficient manner. View the webinar video recording and download this deck: http://www.senturus.com/resources/streamlining-financial-statement-reporting/.
See a demo of IBM Cognos Controller and gain insights on how to automate the close and consolidate processes.
Senturus, a business analytics consulting firm, has a resource library with hundreds of free recorded webinars, trainings, demos and unbiased product reviews. Take a look and share them with your colleagues and friends: http://www.senturus.com/resources/.
Tata Steel implemented an ERP system to address issues with its outdated IT systems. It developed a strategy to adopt SAP, designing the system to handle its complex products, flexible planning needs, and production scheduling. It took a big bang approach, implementing all modules within 8 months across 46 locations. Benefits included cost savings, improved customer service, better decision making and compliance.
The document discusses ERP systems, providing definitions and explanations. It then shares 4 case studies of companies that implemented ERP systems to address challenges and achieve benefits like improved inventory management, streamlined processes, real-time data access, and increased visibility across departments.
This document outlines a process for documenting business processes and controls. It discusses why documentation is important, what will be documented, and how the documentation process will occur. Key points include identifying current processes and controls, opportunities for improvement, developing new process maps and documentation, and defining a new business model. The overall goal is to guide the organization in clearly defining and documenting methods and procedures.
Get Ready for Solvency II with Oracle's Hyperion Profitability and Cost Manag...Alithya
Organisations today are preparing for the Solvency II regulatory requirements by looking at the controls, processes, and methodologies involved with their various accounting, finance, and reporting functions, and making provisions to simplify, standardize, and wherever possible, automate. Ranzal Vice President and Oracle ACE, Mike Killeen provides an overview of HPCM and discuss how companies can leverage the tool for the Solvency II requirements. This presentation is for the UK market.
I, BIPIN BHARDWAJ, Hereby declare that this MUP report is the record of authentic work carried out and has not been submitted to any other University or Institute for the award of any degree / diploma etc.
eFrame® for Insurance Solvency II Internal ModelSecondFloor
In addition to the risk and finance data challenges of the Standard Formula, the Internal Model approach brings with it the challenge of model validation and governance.
Also, dry runs are highlighting the logistical challenges of running some Solvency infrastructures, even with the support of the project team that built it, which will disperse in the near future. The next step beyond compliance is efficiency in a business-as-usual environment.
This solution is already in production at number of large insurers, and is founded on experience with insurers who pioneered risk and economic capital programmes long before the regulations were as clear as they are today. As such, this solution is adaptable to regulatory changes and the evolution of the insurers IT and business landscape.
For more information please visit: http://www.secondfloor.com/solution/eframe-for-insurance-solvency-ii-internal-model
Enterprise resource planning (ERP) software integrates business functions like accounting, manufacturing, sales, inventory, and more. ERP systems evolved from separate applications in the 1960s-1980s to integrated suites in the 1990s. ERP allows organizations to standardize operations, reduce costs, and make real-time decisions. Major ERP vendors include SAP, Oracle, and PeopleSoft. While ERP provides benefits, implementation presents challenges like high costs, forced process changes, and resistance to change.
Hyperion Financial Management (HFM) is a web-based application that provides global financial consolidation, reporting, and analysis capabilities. It automates complex processes like intercompany eliminations, currency translation, and compliance with accounting standards. HFM streamlines financial close, improves reporting accuracy and transparency, and enables strategic analysis by providing a single version of the truth across the organization.
Business strategic information management.docxwrite31
- Wei Corporation, a Taiwanese technology company with over 3,000 employees, implemented an ERP system to modernize their IT systems and align with their goal of becoming a world-class company. They selected Oracle Applications Version 10.4.
- The ERP implementation faced many challenges including lack of management support, poor user participation, resistance to change from users accustomed to legacy systems, and failure to address country-specific requirements.
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An ERP system integrates information across departments like manufacturing, finance, and HR. It allows inputting data in one place that can then be accessed as reports in real-time. Key drivers for ERP include needing infrastructure for company-wide information, outdated legacy systems, and business process reengineering. While expensive to implement, ERP provides benefits like improved integration, efficiency, information quality, and customer service.
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5. Why
masterdata
governance
(
)?
INTEGRATED
SYSTEMS
AND
AUTOMATED
PROCESSES
(With
Masterdata
Governance)
Vs
SILOED
SYSTEMS
AND
MANUAL
PROCESSES
(Without
Masterdata
Governance)
6. Agenda
1.
Masterdata
Governance
Overview
2.
Case
Study
|
Context
3.
Case
Study
|
Solu4on
4.
Ques4ons
7. Case
Study|
Technical
Overview
ERP
–
Mincom
Ellipse
En44es
–
More
than
15
ERP
Account
Codes
–
Approximately
220,000
account
codes
organised
into
mulBple
charts
of
accounts
Group
Consolida4on
Tool
–
Oracle
Hyperion
Financial
Management
Rela4onal
Repor4ng
Tool
–
Business
Objects
Analy4cal
Repor4ng
Tool
–
Oracle
Essbase
8. Pain
Points
|
Ini4al
Situa4on
(Feb
2010)
“In
our
Company
we
recognised
that
we
needed
to
make
our
financial
processes
and
supporBng
IT
infrastructure
more
effecBve.
The
issues
we
faced
included:
• an
inconsistent
chart
of
accounts;
• mulBple
off-‐book
adjustments;
• core
financial
reports
that
were
produced
using
several
applicaBons
and
sources
of
data;
• a
systems
landscape
that
had
proliferated
following
historic
mergers;
and
finally,
• an
integraBon
with
the
Group
consolidaBon
tool
which
relied
heavily
on
manual
processes.”
Chief
Financial
Officer
9. CFO|
Objec4ves
(1)
Repor4ng
&
Analysis
-‐
provide
a
standard,
efficient
method
for
generaBng
reports,
and
free-‐up
expensive
business
resource
to
P
analyse
informaBon
Standardise
-‐
create
a
standardised
view
of
Company
allowing
direct
comparison
between
mining
operaBons
on
different
Charts
of
Accounts
&
finance
system
plaXorms
P
Auditable
-‐
provide
consistent
audited
data
allowing
the
business
to
understand
the
calculaBons
underpinning
every
reported
P
number
Budge4ng
-‐
Align
budgeBng
processes
to
the
chart
of
accounts
P
Cost
Saving
–
cut
head
count
&
reduce
cost
in
the
Finance
&
IM
funcBons
P
10. CFO
|
Objec4ves
(2)
Rapid
Deployment
-‐
deliver
measurable
business
benefit
within
6
months
P
Control
-‐
single
point
of
governance
for
the
ERP
Ellipse,
ReporBng,
BudgeBng
and
mapping
to
HFM
P
Future
Proof
-‐
deliver
a
finance
hub
that
will
adapt
to
the
Company s
evolving
strategy
of
organic
and
acquisiBon
based
P
growth
Integra4on
-‐
Automate
data
transfer
between
key
applicaBons
P
Systems
Consolida4on
–
remove
unnecessary
applicaBons
and
simplify
systems
landscape
P
Data
Integrity
-‐
eliminate
off-‐book
adjustments
P
11. Tes4monial
|
Sponsor
(Sep
2010)
The
reac4on
to
Seismi s
new
solu4on
has
been
overwhelmingly
posi4ve.
It
has
given
the
finance
team
the
control
we
need
over
our
repor4ng
solu4ons,
whilst
the
reports
themselves
provide
accurate,
reconcilable
informa4on
to
our
management
in
a
4mely
and
effec4ve
manner.
It
is
envisaged
that
significant
management
4me
previously
spent
reconciling
systems
will
be
saved
as
a
result
of
the
project.
Its
flexibility
and
scalability
will
allow
us
to
adapt
to
ongoing
Group
or
local
ini4a4ves
that
my
finance
team
will
face.
he
work
performed
by
Seismi
has
been
expertly
managed
T
and
executed
in
all
areas.
We
believe
that
the
solu4on
they
have
delivered
is
world-‐class."
Chief
Financial
Officer
12. Agenda
1.
Masterdata
Governance
Overview
2.
Case
Study
|
Context
3.
Case
Study
|
Solu4on
4.
Ques4ons
14. Logical
Solu4on
|
DRM
No
limit
to
the
number
of
reports
that
can
be
defined
Reports
Ability
to
drill
in
to
transacBons,
work
orders,
Layer
equipment,
etc
Standard
view
of
the
Company
mining
business
Standardisa4on
Standardised
calculaBon
library
for
KPIs
Layer
(financial
and
non-‐financial
informaBon)
Controls
the
creaBon
of
accounts
in
CoA
Layer
(General
Ledger
General
Ledger
Governance)
Validates
each
account
created
is
mapped
to
the
standardisaBon
layer
15. Impact
on
End
Users
Minimal
change
management
–
with
the
excepBon
of
the
7
key
users
there
was
minimal
impact
on
end
users
and
as
such
no
disrupBve,
risky
and
costly
change
management
project
required.
Self
sufficiency
-‐
the
intuiBve
interface
allows
the
7
key
users
to
manage
DRM
without
costly
external
technical
support.
Stable
and
robust
–
only
two
Bckets
have
been
raised
to
our
Level
2
support
providers
(Seismi).
16. Solu4on
Component
|
DRM
Audit
capability
-‐
every
acBon
is
logged
and
Bme
stamped
Control
and
integrity
-‐
enforce
correct
data
entry
and
validate
against
defined
business
rules
Security
-‐
limit
access
by
business
funcBon
and
/
or
geography
and
limit
access
according
to
needs
Logical
hierarchy
-‐
align
CoA
to
key
business
hierarchies
to
opBmise
reporBng
and
increase
transparency
Versioning
-‐
take
copies
of
reporBng
hierarchies,
CoA
and
reports
to
allow
a
snapshot
of
the
business
at
any
given
term
Centralised
-‐
single
source
of
the
truth
for
all
core
business
metadata
(CoA,
Management
Reports
&
Mappings)
Vendor
agnos4c
–
requirement
for
a
tool
that
would
work
with
any
applicaBon
provider
given
the
different
tools
and
vendors
16
17. Benefits
(1)
Governance
Repor4ng
Integra4on
Month
End
20%
ReducBon
in
effort
during
the
month
end
process
ProacBve
not
reacBve
Reduced
reconciliaBon
Rapid,
automated
&
masterdata
governance
burden
reliable
integraBon
Improved
management
ProacBve
error
trapping
Accuracy
confidence
in
reported
through
business
rules
not
numbers
reacBve
error
resoluBon
through
human
Accurate
and
Bmely
middleware
informaBon
provided
from
both
the
general
ledger
and
EPM
soluBons
Deployment
Core
business
masterdata
Core
business
reports
can
can
be
rapidly
deployed
to
be
rapidly
deployed
to
new
new
acquisiBons
acquisiBons
Flexibility
Core
EPM
soluBon
"de-‐coupled"
from
ERP.
A
change
to
the
ERP
will
not
fundamentally
effect
the
EPM
reporBng
layer
18. Benefits
(2)
Governance
Repor4ng
Integra4on
Maintenance
Maintaining
the
Reduced
cost
deploy
new
Decommissioning
masterdata
across
mulBple
reports
applicaBons,
simplificaBon
applicaBons
requires
less
of
systems
landscape
and
people
improved
robustness
reduce
support
burden
Change
EffecBve
change
EffecBve
change
management
of
core
management
of
core
Management
business
masterdata
business
reports
Minimal
Impact
on
organisaBon
(people,
infrastructure).
PosiBve
change
for
Finance
Ownership
ApplicaBon
masterdata
Reports
owned
and
Mappings
owned
and
owned
and
changed
by
changed
by
business
changed
by
business
business
people
people
people
Risk
Internal
and
External
audit
approved
(removed
red
flag)
Month
and
year
end
risk
reduced
19. Future
–
Easing
future
implementa4ons
BO
OBIEE
Essbase
HFM
EBS
Hyperion
Planning
Business
Modelling
Strategy
&
OBI
Apps
&
Chart
Design
Architecture
FDQM
DRM
EPMA
Fusion
ERP
&
EPM
Integration Legacy
HSF
Solu4ons
Systems
Data
Ellipse
Other
ERP
ODI
Warehouse
Technologies
20. Agenda
1.
Masterdata
Governance
Overview
2.
Case
Study
|
Context
3.
Case
Study
|
Solu4on
4.
Ques4ons