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- 1. Logistics, SME,Training for Innovation Renato De Leone UNICAM
- 2. (Business) Analytics Analytics is defined as the scientific process of transforming data into insight for making better decisions. (Informs)
- 3. Deming Cycle The four phases in the Plan-Do-Check-Act Cycle involve: • Plan: Identifying and analyzing the problem. • Do: Developing and testing a potential solution. • Check: Measuring how effective the test solution was, and analyzing whether it could be improved in any way. • Act: Implementing the improved solution fully.
- 4. Innovation An innovation is the implementation of a new or significantly improved product (good or service), or process, a new marketing method, or a new organizational method in business practices, workplace organization or external relations. Oslo Manual, 2005
- 5. Product Innovation Introduction of a good or service that is new or significantly improved with respect to its characteristics or intended uses. This includes significant improvements in technical specifications, components and materials, incorporated software, user friendliness or other functional characteristics. Product innovations can utilize new knowledge or technologies, or can be based on new uses or combinations of existing knowledge or technologies.
- 6. Process Innovation Implementation of a new or significantly improved production or delivery method. This includes significant changes in techniques, equipment and/or software. Process innovations can be intended to decrease unit costs of production or delivery, to increase quality, or to produce or deliver new or significantly improved products.
- 7. Marketing Innovation Implementation of a new marketing method involving significant changes in product design or packaging, product placement, product promotion or pricing. Marketing innovations are aimed at better addressing customer needs, opening up new markets, or newly positioning a firm’s product on the market, with the objective of increasing the firm’s sales.
- 8. Organizational Innovation Implementation of a new organizational method in the firm’s business practices, workplace organization or external relations. Organizational innovations can be intended to increase a firm’s performance by reducing administrative costs or transaction costs, improving workplace satisfaction (and thus labor productivity), gaining access to non-tradable assets (such as non-codified external knowledge) or reducing costs of supplies.
- 9. Process vs Product Innovation
- 10. Process vs Product Innovation
- 11. Driving Innovation through Analytics BUSINESSANALYTICS: BUSINESS INTELLIGENCE
- 12. From ERP and CRM to Analytics Over the past years, organizations of all sizes have been utilizing Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM) systems with the goal of • integrate and automate processes • reduce total business costs • improve customer relationships Getting more value from ERP and CRM Analytics
- 13. Top 10 Strategic TechnologyAreas for 2009 1.Virtualization 2. Business Intelligence 3. Cloud Computing 4. Green IT 5. Unified Communications 6. Social Software and Social Net working 7.Web-Oriented Architecture 8. Enterprise Mashups 9. Specialized Systems 10. Servers – Beyond Blades Top 10 Strategic TechnologyAreas for 2010 1. Cloud Computing 2. Advanced Analytics 3. Client Computing 4. IT for Green 5. Reshaping the Data Center 6. Social Computing 7. Security - Activity Monitoring 8. Flash Memory 9.Virtualization forAvailability 10. Mobile Application
- 14. The role of Analytics
- 15. The role of Analytics Raw Data -> Aggregated Data -> Contextual Intelligence -> Analytical Insights (reporting vs. prediction) -> Decisions
- 16. Why Analytics For a global apparel manufacturer, developing advanced analytics capabilities is essential to achieving its growth strategy. Accenture, global management consulting
- 17. Analytics Categories Descriptive analytics • Prepares and analyzes historical data • Identifies patterns from samples for reporting of trends Predictive analytics • Predicts future probabilities and trends • Finds relationships in data that may not be readily apparent with descriptive analysis Prescriptive analytics • Evaluates and determines new ways to operate • Targets business objectives • Balances all constraints
- 18. AnalyticsTools • Simulation Giving you the ability to try out approaches and test ideas for improvement • Optimization Narrowing your choices to the very best when there are virtually innumerable feasible options and comparing them is difficult • Probability and Statistics Helping you measure risk, mine data to find valuable connections and insights, test conclusions, and make reliable forecasts • Data Mining Reveal New Insights in Existing Data to Improve Performance • InformationTechnology Manage data and operations
- 19. AnalyticsTools • Data Modeling • Data Mining • Visualization • Time series analysis • Prepare and analyzes historical data • Identify patterns from samples for reporting of trends Descriptive Analytics
- 20. AnalyticsTools • Predictive Modeling • Statistics • Regression methods • Artificial Neural Networks • Predicts future probabilities and trends • Finds relationships in data that may not be readily apparent with descriptive analysis Predictive Analytics
- 21. AnalyticsTools • Optimization • Simulation • Determine and evaluate new ways to operates • Target business objectives • Balance constraints Prescriptive Analytics
- 22. Five SignsYou Could Benefit from Analytics • You face complex decisions. • You're having problems with processes. • You're troubled by risk. • Your organization is not making the most of its data. • You need to beat stiff competition.
- 23. Supply Chain Management • Demand Management • Inventory Optimization • Supply Chain Analytics • Supply Chain Planning • Warehouse Management System (WMS)
Editor's Notes
- Why Analytics Now for Business? The short answer is that the use of data and data analysis to drive business decisions cannot be ignored any more – not if a business wants to be successful. Contributing factors include the growing availability of business data to analyze, the high velocity and complexity of needed business decisions, technological improvements in data collection and analysis, and increased global competition. All these factors have driven the need and desire for business to base decision-making on more than gut feel. Businesses large and small are embracing the movement, and, according to Gartner, high performing businesses are five times more likely to embrace analytics than low performers.
- Why Analytics Now for Business? The short answer is that the use of data and data analysis to drive business decisions cannot be ignored any more – not if a business wants to be successful. Contributing factors include the growing availability of business data to analyze, the high velocity and complexity of needed business decisions, technological improvements in data collection and analysis, and increased global competition. All these factors have driven the need and desire for business to base decision-making on more than gut feel. Businesses large and small are embracing the movement, and, according to Gartner, high performing businesses are five times more likely to embrace analytics than low performers.
- You face complex decisions. Are you faced with more decision factors than you can get your arms around? Do your key operational computer systems lack intelligence? Analytics professionals can analyze complex situations and build intelligence into key systems, revealing the best options. But before you act, talk with an analytics professional to confirm that taking an analytics approach will pay dividends. You're having problems with processes. One or more of your processes is broken or needs to work a lot better. Many small, day-to-day decisions are not being made well, and it's having an impact on your bottom line. Analytics can help improve these processes and their outcomes dramatically. You're troubled by risk. Do you want to limit or reduce risk? Assessing the risk of a new project or contract can be tricky. Analytics can help you quantify risk, which is key to controlling it. Analytics can also assist you in planning how best to balance risk against the gains you expect. Your organization is not making the most of its data. Do you track information about your organization or customers and have data that is begging to be used for decision making? Analytics professionals specialize in working with data – extracting the most valuable information from what's currently collected, and showing what additional data you could collect to increase the value even further. You need to beat stiff competition. Many leading companies are already using analytics to gain competitive advantage. Can you afford not to? An analytics professional can help you stay on top with the latest methods – and open up important new sources of advantage.
- SKU Stock keeping unit