Supporting Operational Excellence with Business Intelligence Nikos Saripoulos

Transcription

1 Supporting Operational Excellence with Business Intelligence Nikos Saripoulos Head of Business Intelligence

2 Agenda Operational Excellence Business Intelligence Manufacturing Use Cases Supply Chain Use Cases

3 What is Operational Excellence? Operational excellence (OE) is when each employee can see the flow of value to the customer and fix that flow when it breaks down.

4 Achieve Operational Excellence People Process Technology

5 Achieve Operational Excellence People Process Technology

6 Achieve Operational Excellence People Process Technology

7 Achieve Operational Excellence Our People must have the ability to produce People Clear Vision Engaged People

8 Achieve Operational Excellence We must have the framework and procedures Analyze the current state Find a process that delivers Process

9 Achieve Operational Excellence We must have the tools and the data/info Analyze the right metrics Monitor Key Performance Indicators Technology

10 Technology Trends in OE Enterprise Software Technologies Customer Relationship Management (CRM) Enterprise Resource Planning (ERP) Human Capital Management (HCM) Document Management Solutions (DMS) Business Intelligence (BI) Advancing Technologies Big Data, IoT and Analytics Software as a Service (SaaS) and Cloud capabilities Mobility

11 Our Industry Focus

12 Manufacturing needs BI Increased Number of Products Supply Cost vs Demand Margin Optimization Bottlenecks in Operations Change Adaptability

13 Supply Chain needs BI Optimize Network Design Improve Service Performance Reduce Operating Costs Monitor Supplier Performance Profitable Inventory Management

14 What is Business Intelligence Business intelligence is decision making supported by data

15 Why Business Intelligence

16 Customer Value Components of Business Intelligence Prescriptive Analytics Predictive Analytics Raw Data Cleaned Data Standard Reports Ad Hoc Reports & OLAP Diagnostic Analytics Why did it happen? What will happen? How can we make it happen? What happened? Implementation Effort

17 Business Intelligence Visualization See our data in a visual context Making insights available Get a 360 overview

18 Spot Trends in Real Time

19 Any data, any way, anywhere

20 Use Cases Overview Manufacturing Efficiency Evaluate Supply Chain Manufacturing Productivity Supply Chain Forecast

21 Manufacturing Efficiency We have the need to monitor productivity and efficiency in our production lines Manufacturing Efficiency

22 Manufacturing Efficiency See how your daily productivity goes Tracking throughout the year Identify key areas to improve performance Share your insights with others

23 Manufacturing Efficiency Aggregate data from multiple locations Check if the production line is meeting targets Collaborate to identify new opportunities and increase efficiency

24 Manufacturing Productivity We have the need to understand our production cycle and identify areas to improve Manufacturing Productivity

25 Manufacturing Productivity Analyze your business through the dashboards Identify areas to take action Make informed decisions based on data Analyze the most profitable products

26 Manufacturing Productivity Locate key areas to take action Understand which orders are overdue Collect data from all your systems Share your newfound knowledge with your team

27 Evaluate Supply Chain We have the need to monitor our stock trends and evaluate supplier and distributor response Evaluate Supply Chain

28 Evaluate Supply Chain Monitor the range of our stock in real time Analyze our response to the demand Sharing this knowledge with our team

29 Evaluate Supply Chain Ability to analyze our suppliers See our distributors response Obtain insight into our stock trends See out of stock seasonality by products

30 Supply Chain Forecast Analytics We have the need to look into the future and prepare to meet the demand Supply Chain Forecast

31 Supply Chain Forecast Analytics See the future with forecasted demand Obtain the ability to handle increased demand before it happens Take action proactively

32 Supply Chain Forecast Analytics Locate in our chain the points with most losses and damages Identify the reasons for losses and damages Understand our business and improve our network

33 To Sum Up Operational Excellence Definition Technology Industry Needs Manufacturing Use Cases Monitor Efficiency Understand Production Business Intelligence Definition Components BI Visualization Supply Chain Use Cases Evaluate Network Forecast Demand

34 Embark on a new journey with us