FireTPM is Innovative
Reduced Data Volume and High Performance Architecture
Over 99% reduction in data volume and data querying / processing time
Weekly Volume Plans (Columns vs Rows)
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Challenge: It takes a lot of data storage and a lot of query time to retrieve weekly volume records.
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Solution: Store all weekly volumes records for a planning year as fields on a single record.
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Benefit:
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98% data volume reduction
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99+% data querying/processing reduction
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Volume Plan Granularity (Monthly vs Weekly)
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Challenge: Regional Account Managers want to plan at the Monthly level whereas Key Account Managers need to plan at the Weekly level.
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Solution: Enable planning at both levels of Time hierarchy so that each Account Manager can plan at the level they need/want.
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Benefit:
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75% data volume reduction
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75% data querying/processing reduction
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Reduced data entry requirements and improved end user experience
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Promotion Structure (SubAccounts vs Planning Accounts)
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Challenge: A single Wholesaler, RSM can create a Channel Promotion for 100 or more small C-Store retailers, which creates a lot of data.
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Solution: Have SubAccount Promotion headers reference the parent promotion details rather than copying all details to children Promotions.
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Benefit:
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90% data volume reduction
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90% data querying/processing reduction
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Ability to handle modern and traditional trade markets in a single instance
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Product Hierarchy (PPG’s vs SKU’s)
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Challenge: Entire Promoted Product Groups (5+ SKU’s) are usually promoted together, but sometimes only a SKU, forcing the entire system to be at the SKU level.
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Solution: Enable dynamic PPG definitions to prevent unnecessary blow down of Account Plans and Promotions to SKU level.
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Benefit:
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80% data volume reduction
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80% data querying/processing reduction
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Reduced data entry requirements and improved end user experience
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Formula Fields (1:M vs M:M)
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Challenge: Entire Promoted Product Groups (5+ SKU’s) are usually promoted together, but sometimes only a SKU, forcing the entire system to be at the SKU level.
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Solution: Enable dynamic PPG definitions to prevent unnecessary blow down of Account Plans and Promotions to SKU level.
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Benefit:
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80% data volume reduction
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80% data querying/processing reduction
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Reduced data entry requirements and improved end user experience
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