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FastTrack Analytics for Consumer Goods

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Learn how leading consumer goods companies are leveraging analytics to gain market share, improve operations and make better business decisions in challenging economic times. Attendees will gain valuable insights into:

•best practices for implementing a robust analytics approach

•success stories of leading consumer goods companies that are using analytics effectively

•how analytics enables strategic decision-making in challenging economic times

•how implementing an analytics solution can be affordable, fast & customizable to your business

FastTrack Analytics gives you an opportunity to experience the value of analytics, using your data for a point solution that is customized to your business. FastTrack Analytics is an affordable, long-term solution that can be implemented quickly to fit your immediate needs. With FastTrack Analytics you can get value out of your data now without waiting for the entire enterprise to get onboard.

Publicada em: Tecnologia, Negócios
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FastTrack Analytics for Consumer Goods

  1. 1. FastTrack! Analytics for Consumer Goods Webinar<br />May 5, 2010<br />
  2. 2. Contents<br />
  3. 3. Edgewater’s Corporate Overview<br /><ul><li>Consulting Firm
  4. 4. Advisory Services
  5. 5. Vertical Services
  6. 6. Enterprise Applications
  7. 7. Strategic Technical & Data Services
  8. 8. Founded in 1992
  9. 9. Headquartered in Wakefield, MA
  10. 10. 335 Employees
  11. 11. Large North American Footprint
  12. 12. Focus on Middle and Global 2000 Market
  13. 13. Publicly Traded (NASDAQ: EDGW)</li></li></ul><li>Sample Consumer Goods Clients<br />
  14. 14. Why Analytics for Consumer Goods?<br />Why should I be considering analytics?<br />Drive top-line growth via enhanced information<br />Fact-based decisions vs. tribal knowledge<br />Manage bottom line costs and efficiency<br />Drive added value from existing data<br />Increase competitive stance – explore options!<br />Increased visibility into business drivers<br />
  15. 15. FastTrack! Analytics – Consumer Goods Focus Area<br />Build on the core dimensions by adding 3-5 others to address specific business questions in one of these areas:<br />
  16. 16. Consumer Goods Analytics – Sales Focus Area<br />Potential Sales Analytics Subject Areas<br />SGA Analysis<br />Channel Mix<br />Product Analysis<br />Forecasting<br />Customer Analysis<br />Sample KPI’s<br /><ul><li>Customer performance by # of sales calls / visits
  17. 17. Order cancellation by reason
  18. 18. Sales costs by key account, by profitability</li></ul>Sample Questions<br /><ul><li> Are sales people spending their time in the best way to drive growth?
  19. 19. Why are orders being cancelled and what’s the net impact?
  20. 20. Are we investing wisely in growing the right customers?</li></ul>Potential Benefits<br /><ul><li>Increased efficiency
  21. 21. Increases sales (from existing customers)
  22. 22. Increase profitability</li></li></ul><li>Consumer Goods Analytics – Operations Focus Area<br />Potential Operations Analytics Subject Areas<br />Efficiency<br />Planning & Scheduling<br />Quality<br />Logistics<br />Bench-marking Metrics<br />Sample KPI’s<br /><ul><li>Order fill rate by customer lead times
  23. 23. Freight and other costs per customer, product
  24. 24. Delivery issues by customer, etc</li></ul>Sample Questions<br /><ul><li> Are we introducing inventory and customer satisfaction risks by accepting too many rush orders?
  25. 25. Are we allocating freight and related costs / penalties sufficiently to support true profitability analysis?
  26. 26. What are the most common delivery issues and what’s the impact?</li></ul>Potential Benefits<br /><ul><li>Increase customer satisfaction
  27. 27. Increase accuracy
  28. 28. Lower costs and exceptions, increase customer satisfaction</li></li></ul><li>Consumer Goods Analytics – Customer Service Focus Area<br />Potential Customer Service (O2C) Analytics Subject Areas<br />Customer Satisfaction<br />Payments & Deductions<br />Ware-housing<br />Logistics<br />Delivery & Freight<br />Sample KPI’s<br /><ul><li>Actual vs. promised delivery date
  29. 29. Order entry error rate
  30. 30. Customer retention rates</li></ul>Sample Questions<br /><ul><li>What is the measured impact of late orders/ shipments, or rush orders?
  31. 31. What is the difference in error rates between electronic and manual orders and how can we reduce manual errors?
  32. 32. Are we retaining the most profitable customers?</li></ul>Potential Benefits<br /><ul><li>Increased customer satisfaction
  33. 33. Baseline performance to measure and incent meaningful improvement
  34. 34. Focus resources where they provide the greatest value to the business</li></li></ul><li>Consumer Goods Analytics – Procurement Focus Area <br />Potential Procurement (P2P) Analytics Subject Areas<br />Supplier Performance<br />Contracts<br />Purchasing<br />External Partner Mgmt<br />Payables & PPV<br />Sample KPI’s<br /><ul><li>Supplier performance scorecard
  35. 35. Order fill rates by contract manufacturers
  36. 36. Product sourcing by key material category</li></ul>Sample Questions<br /><ul><li>Are we incenting the right supplier performance to achieve the lowest material costs?
  37. 37. How are our contract manufacturers satisfying the details in their contracts?
  38. 38. Do we have sufficient backup suppliers for our most critical materials?</li></ul>Potential Benefits<br /><ul><li>Match supplier contracts and incentives against actual performance
  39. 39. Increased quality and true cost visibility
  40. 40. Procurement continuity</li></li></ul><li>Consumer Goods Analytics – Finance Focus Area<br />Potential Finance Analytics Subject Areas<br />Planning<br />Budgeting<br />Customer Profitability<br />Product Profitability<br />Forecasting<br />Sample KPI’s<br /><ul><li>Number reporting errors
  41. 41. Margin variation by re-planning frequency
  42. 42. Percentage profit by customer, product</li></ul>Sample Questions<br /><ul><li>How much are inaccurate reports affecting daily business decisions?
  43. 43. Are we driving our business from accurate gross margins?
  44. 44. What are the true costs of our top 10 customers (or products) against revenue generated?</li></ul>Potential Benefits<br /><ul><li>Improved decision making and accuracy
  45. 45. Increased profitability
  46. 46. Build programs to “clone” or leverage most profitable customers / products</li></li></ul><li>Why Clients Haven’t Pursued Analytics<br /><ul><li>“I’ve heard about data analytics, but don’t really understand what it means or how it would benefit us.”
  47. 47. “It required too large of an investment to get started”
  48. 48. “I’m just too busy and short-staffed to get involved with a major initiative like data analytics”
  49. 49. “I’ve looked at several data analytics software packages, but it doesn’t really fit our unique business”
  50. 50. “I already get all the reports I need, why would I want more?’</li></li></ul><li>What is FastTrack! Analytics?<br />The FastTrack! Analytics is a customizable, cost sensitive, business-issue focused solution-based approach designed to quickly demonstrate the power of analytics to your business<br /><ul><li>Not a “shrink-wrapped” product that doesn’t fit your business model
  51. 51. Based on accelerators that can be quickly customized to meet your specific business needs
  52. 52. Allows for expansion at your pace</li></ul>Customizable<br /><ul><li>Designed to provide insights into the your most challenging business questions
  53. 53. Not a generic product that doesn’t always provide the answers you need most</li></ul>Business Issue Focused<br /><ul><li>Doesn’t require a high up-front investment (in both dollars & resources)
  54. 54. Designed to leverage current in-house technology
  55. 55. Allows for expansion at your pace</li></ul>Cost/Risk Sensitive<br />
  56. 56. What are the Benefits of FastTrack! Analytics?<br />
  57. 57. How does FastTrack! Analytics Work?<br /><ul><li>Confirm the subject area and business problem(s) in scope
  58. 58. Define/confirm the data visualization capabilities required
  59. 59. Decompose the business problem(s) into required data
  60. 60. Confirm the high-level business-centric data model
  61. 61. Determine which accelerator components to use
  62. 62. Assemble the analytics data mart data model
  63. 63. Design/develop the data visualization/ dashboard
  64. 64. Create required roles
  65. 65. Create load utilities
  66. 66. Conduct testing
  67. 67. Prep for demos
  68. 68. Conduct initial demonstration of FastTrack! Solution with key stakeholders
  69. 69. Conduct up to 2 additional demo’s
  70. 70. Document recommendations for enhancements
  71. 71. Review results of demo(s) with FastTrack! sponsor
  72. 72. Determine next steps</li></li></ul><li>How do Accelerators Work?<br />Accelerators are a collection of analytics components tailored to specific industries and are designed to significantly reduce the delivery time of analytic solutions<br />Data Visualization Component Library<br />Default Analytic Views <br />Data Model Component Library<br /><ul><li>Dashboard formats,designs & templates
  73. 73. Data visualization components
  74. 74. Analysis specific components
  75. 75. Industry specific
  76. 76. Logical groupings of components for business challenges
  77. 77. Dimensions
  78. 78. Attribute lists
  79. 79. Default hierarchies
  80. 80. Subject areas
  81. 81. Metrics groupings & KPI’s</li></ul>Extract Specification Formats<br />Key Reference Data Listings<br /><ul><li>Dimension extract formats
  82. 82. Metrics grouping extract formats
  83. 83. Look-up values
  84. 84. Code lists</li></li></ul><li>FastTrack! Analytics – Solutions Architecture<br />
  85. 85. Extending FastTrack! Analytics<br />The FastTrack! Analytics pilot can be extended in many different ways towards the creation of an enterprise analytics platform<br />More <br />Sophisticated<br />Analytics<br />Extended to Other Departments<br />Additional<br />Integrated<br />Subject Areas<br />Additional<br />Users/Roles<br />More <br />Analytical<br />Views<br />Expanded<br />Metrics<br />Additional<br />Data Sets<br />Expanded<br />Dimensions<br />
  86. 86. Q & A<br />Questions?<br />Thank You!<br />