This document discusses how advanced analytics can be leveraged to improve supply chain performance when used in conjunction with the SCOR model. It provides examples of how analytics can be applied to optimize metrics like perfect order fulfillment, upside flexibility, and return on working capital by factoring in various business decisions. The SCOR model provides best practices and metrics, while analytics can help determine the best ways to achieve goals and measure performance.
Business Intelligence Dashboard Design Best PracticesMark Ginnebaugh
Microsoft BI expert Dan Bulos spoke on Dashboard Design Best Practices to the Bay Area Microsoft Business Intelligence User Group.
This presentation shows techniques for displaying data in a dashboard for maximum impact. Dan also discusses various tools available in the Microsoft BI stack – Reporting Services, Excel, PerformancePoint and the new entry, Power View.
Our mission is: transforming data to reveal business and clinical insights. We accomplish this through our data management, business intelligence and analytics consulting services. We ensure that organizations have the proper tools, technology and processes to improve performance – relative to predefined critical success factors and key performance indicators – based on greater insight and analysis through analytics. We offer a framework for establishing an Analytics Center of Excellence within organizations to define roles and responsibilities and coordinate activities and tasks among key stakeholders. With emphasis on statistical analysis, forecasting, optimization, and simulation, analytics provides results that are predictive and prescriptive, injecting clarity and confidence in decision making and improving performance through situational awareness at all levels of the organization.
Through our past consulting engagements, we observed significant challenges and short-comings in how these organizations navigate such a data-rich environment in the pursuit of analytical excellence. Based on our assessment and evaluation, we develop a roadmap for establishing an information environment that enables stakeholders to improve clinical decision-making and performance (as related to quality, outcomes, cost and utilization) through data visualizations and advanced analytics. This roadmap accounts for both structured and unstructured data, and it includes provisions for controlled data access based on security and privacy policies. We manage the transition from on-premise to cloud-based data sources and leverage the cloud as an aggregation point for creating a Big Data analytics platform. We then perform an alternatives analysis of feasible solutions based on several factors, including: delivered capabilities, ease of implementation, performance, scalability, interoperability and integration with legacy systems, and functionality -- at a cost that maximizes ROI.
Selecting BI Tool - Proof of Concept - Андрій МузичукIgor Bronovskyy
A large number of tools and techniques have been developed over the years to support managerial decision making. Thus process of selecting appropriate BI tool turns to be an issue. Implementing and deploying a BI initiative can be lengthy, expensive and failure pron. The Proof of concept method can be used by stakeholders to avoid unnecessary losses.
In the presentation, the description of Proof of Concept method is provided based on the example of selecting among Microsoft stack, MicroStrategy and Business Object Bi tools. The example includes above mentioned technologies overview, reports modeling process, reports development process, report integration in SharePoint, performance testing as well as the decision making model and summary for final tools selection.
InfosysPublicServices - Member Switchover Solution | AnalysisInfosys
This white Paper outlines approach of Member Switchover Solution, Analysis, Features and Key Benefits. Some of the Features include Score Card Generation, Member Risk Modeling & Member Profitability Analysis.
Business Intelligence Dashboard Design Best PracticesMark Ginnebaugh
Microsoft BI expert Dan Bulos spoke on Dashboard Design Best Practices to the Bay Area Microsoft Business Intelligence User Group.
This presentation shows techniques for displaying data in a dashboard for maximum impact. Dan also discusses various tools available in the Microsoft BI stack – Reporting Services, Excel, PerformancePoint and the new entry, Power View.
Our mission is: transforming data to reveal business and clinical insights. We accomplish this through our data management, business intelligence and analytics consulting services. We ensure that organizations have the proper tools, technology and processes to improve performance – relative to predefined critical success factors and key performance indicators – based on greater insight and analysis through analytics. We offer a framework for establishing an Analytics Center of Excellence within organizations to define roles and responsibilities and coordinate activities and tasks among key stakeholders. With emphasis on statistical analysis, forecasting, optimization, and simulation, analytics provides results that are predictive and prescriptive, injecting clarity and confidence in decision making and improving performance through situational awareness at all levels of the organization.
Through our past consulting engagements, we observed significant challenges and short-comings in how these organizations navigate such a data-rich environment in the pursuit of analytical excellence. Based on our assessment and evaluation, we develop a roadmap for establishing an information environment that enables stakeholders to improve clinical decision-making and performance (as related to quality, outcomes, cost and utilization) through data visualizations and advanced analytics. This roadmap accounts for both structured and unstructured data, and it includes provisions for controlled data access based on security and privacy policies. We manage the transition from on-premise to cloud-based data sources and leverage the cloud as an aggregation point for creating a Big Data analytics platform. We then perform an alternatives analysis of feasible solutions based on several factors, including: delivered capabilities, ease of implementation, performance, scalability, interoperability and integration with legacy systems, and functionality -- at a cost that maximizes ROI.
Selecting BI Tool - Proof of Concept - Андрій МузичукIgor Bronovskyy
A large number of tools and techniques have been developed over the years to support managerial decision making. Thus process of selecting appropriate BI tool turns to be an issue. Implementing and deploying a BI initiative can be lengthy, expensive and failure pron. The Proof of concept method can be used by stakeholders to avoid unnecessary losses.
In the presentation, the description of Proof of Concept method is provided based on the example of selecting among Microsoft stack, MicroStrategy and Business Object Bi tools. The example includes above mentioned technologies overview, reports modeling process, reports development process, report integration in SharePoint, performance testing as well as the decision making model and summary for final tools selection.
InfosysPublicServices - Member Switchover Solution | AnalysisInfosys
This white Paper outlines approach of Member Switchover Solution, Analysis, Features and Key Benefits. Some of the Features include Score Card Generation, Member Risk Modeling & Member Profitability Analysis.
SG Analytics, a best managed outsourcing firm by Black Book Of Outsourcing, is a leading research and analytics KPO outsourcing firm which provides a range of services to financial services companies, market research companies and business research firms. Our customized solutions for data management, investment research, equity research, data processing, business research and business analytics can help both large and small organizations to manage their costs and workflow, thus enabling our clients to focus on their core business.
SG Analytics (SGA), an ISO/IEC 27001:2005 certified firm, is a leading research and analytics KPO outsourcing firm which provides a range of services to financial services companies, market research companies and business research firms. Our customized solutions for data management, investment research, equity research, data processing, business research and business analytics can help both large and small organizations to manage their costs and workflow, thus enabling our clients to focus on their core business.
Led by a team of internationally experienced professionals, SGA has emerged as one of leading KPO outsourcing firms (Ranked Top-50 “Best Managed” Outsourcer 2010) out of India thanks to our focus on client commitment, consistent quality and a vibrant internal team culture.
SGA professionals are sourced from some of the leading universities and companies across India, Europe and US with functional expertise in data management, investment research, equity research, data processing, business research and business analytics. Our ability to integrate and work with different cultures is manifested by the fact that our global delivery centre in Pune is home to analysts from different nationalities including German, Swiss, French, Portuguese, Cantonese, Korean amongst many others.
The business impact of our services is felt in the form of better efficiency and cost effectiveness. We call this SGA value and always stand behind a compelling mix of high quality, productivity and fair pricing.
Our clients always receive a personalized service through our highly skilled and focused teams of domain experts and analysts. We would be delighted to welcome you to our business and engage in a conversation as to how SGA could add value, by taking everyday problems and turning these into solutions.
An unofficial and unauthorized overview of the SCOR Model from the first CTO of the Supply Chain Council. Why and how the SCOR model was constructed for supply chain management and how it was applied.
For current and official documentation please visit - www.supply-chain.org
SG Analytics, a best managed outsourcing firm by Black Book Of Outsourcing, is a leading research and analytics KPO outsourcing firm which provides a range of services to financial services companies, market research companies and business research firms. Our customized solutions for data management, investment research, equity research, data processing, business research and business analytics can help both large and small organizations to manage their costs and workflow, thus enabling our clients to focus on their core business.
SG Analytics (SGA), an ISO/IEC 27001:2005 certified firm, is a leading research and analytics KPO outsourcing firm which provides a range of services to financial services companies, market research companies and business research firms. Our customized solutions for data management, investment research, equity research, data processing, business research and business analytics can help both large and small organizations to manage their costs and workflow, thus enabling our clients to focus on their core business.
Led by a team of internationally experienced professionals, SGA has emerged as one of leading KPO outsourcing firms (Ranked Top-50 “Best Managed” Outsourcer 2010) out of India thanks to our focus on client commitment, consistent quality and a vibrant internal team culture.
SGA professionals are sourced from some of the leading universities and companies across India, Europe and US with functional expertise in data management, investment research, equity research, data processing, business research and business analytics. Our ability to integrate and work with different cultures is manifested by the fact that our global delivery centre in Pune is home to analysts from different nationalities including German, Swiss, French, Portuguese, Cantonese, Korean amongst many others.
The business impact of our services is felt in the form of better efficiency and cost effectiveness. We call this SGA value and always stand behind a compelling mix of high quality, productivity and fair pricing.
Our clients always receive a personalized service through our highly skilled and focused teams of domain experts and analysts. We would be delighted to welcome you to our business and engage in a conversation as to how SGA could add value, by taking everyday problems and turning these into solutions.
An unofficial and unauthorized overview of the SCOR Model from the first CTO of the Supply Chain Council. Why and how the SCOR model was constructed for supply chain management and how it was applied.
For current and official documentation please visit - www.supply-chain.org
We describe how we combine sales efficiency tools and technics with BI, CRM, ECM and Cloud technologies as well as workflows and BPM, in order to maxime the sales efficiency and the marketing effectiveness.
"Supply Management: The Missing Voice in the Integrated Business Plan: How Cost Management, Negotiation and Contract Management Inform the Process and are Essential to Its Execution ”
In manufacturing, traditional sales and operations planning is expanding beyond simple supply-demand balancing toward integrated business decision-making. Service firms are also realizing the benefits of holistic business planning. Integrated business planning is neither integrated nor complete without supply management which must come to the process with an understanding of the supply risks and a strategy for capitalizing on opportunities. An integrated plan for the business must be informed by the relative bargaining position of the firm, supplier viability under multiple economic scenarios, trends and potential ranges for commodity and other prices, supplier and global capacities, technological advances, and other relevant context. Supply management must also be prepared to contribute to integrated business planning with a comprehensive analysis of total cost of ownership and its sensitivity to each of its components, strategies for structuring supply agreements to mitigate risk and minimize the cash-to-cash cycle, approaches for substituting information for time and inventory, sourcing alternatives to support sales and marketing initiatives as well as manufacturing and quality requirements, and scenarios for reducing lead time and lot size.
A good process orientation and organization are beneficial as is an integrated ERP system and availability of data, but analytics that drive specific improvements through higher quality decisions in less time in each of the processes of Plan, Source, Make Deliver are essential to winning supply chain performance.
A couple of releases back, the SCC added a dimension to the SCOR model of Performance Attributes, creating a matrix that relates Level 1 Metrics to those attributes. This can be taken farther as I have done in the Process/Value/Symptom Matrix (see Supply Chain Digest, September 13, 2011). However, to illustrate need and benefits of combining advanced analytics with SCOR, let’s take three Level 1 Metric examples.
Perfect Order Fulfillment is a composite performance metric built from several second level metrics as shown here. Let’s drill down into just one of the level 2 metrics, following the SCOR model.
Drilling down through Perfect Condition into Orders Delivered Defect Free, gives us a clear understanding of what to measure and of cause and effect. However, it does not tell us exactly how to “move the needle” on Orders Delivered Defect Free. In the case of purchased goods, this will involve a statistical evaluation of the performance of each vendor to determine the sampling and inspection procedures for each class of product from each vendor. There are also considerations of risk management. What are the risk scores of each vendor and product and how should they be computed in your industry? How sensitive are these scores to the factors that make them up such as lead time, availability of alternate sources, contribution to revenue, etc. In the case of manufactured goods, this will require statistical process control and all of the concomitant analytical six sigma tools. The metric is critical, as are the best practices to achieve it, but the excellent execution requires advanced and competent analysis to answer these questions.
Taking a look at cascading metrics another way, SCOR gives us many of the constraints that must be considered in this strategic metric which is defined as “The number of days required to achieve an unplanned sustainable 20% increase in production with the assumption of no raw material constraints.” To further illustrate the rather obvious need for advanced analytics in order to arrive at the “upside make flexibility” for your organization that is most strategically valuable, consider the interrelationships in this chart. We have highlighted a few of them with the red arrows. This does not even consider some of the relationships to other SCOR metrics not on this chart such as the expected range for future forecasts and the confidence ranges around those forecasts for each future time period.
Many of the decisions on the previous slide are inter-related and depend on your business strategy and the supporting value network design. Having done many of these projects successfully across numerous industries, we can say with confidence that every project we have done has been dependent on unique considerations. For example, some projects are very focused on the capabilities and configurations of the plants and need a model that operates at that level of detail while other projects are much more transportation, inventory, duty, and tax focuses, requiring an entirely different modeling approach.Takeaway:You cannot afford to take a cookie-cutter approach.