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XP3 Bringing Business Intelligence to the Front Lines of Business
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Series Five
 
Series Four
 
Series Three
 
Series Two
 
Series One
Tip 24
Tools for Recharging Category Management
Tip 23
XP3 Suite Frequently Asked Questions
Tip 22
Create Consumer Insights Using Intelligent Text
Tip 21
Control Your Presentation with Global Selections
Tip 20
Leverage Best Practices Templates
Tip 19
Deploy Modules for Specific Users
Tip 18
Make the Best Use of your Microsoft Office Skills
Tip 17
Create Customer-Specific Views
Tip 16
Map Multiple Data Sources
Tip 15
Best Practices for New Product Presentations, Part 2
Tip 14
Best Practices for New Product Presentations, Part 1
Tip 13
Clarifying the Message
Tip 12
Automate the Dissemination of Content and Data
Tip 11
Create Ready-made and Customizable Analyses
Tip 10
Automate the Generation of Intelligent Insights
Tip 9
Use Automation Tools for Data Acquisition and Integration
Tip 8
Optimize the Workflow
Tip 7
Implement Best Practices Throughout the Entire Organization
Tip 6
Define Roles and Responsibilities for Data Analysis and Presentation Development
Tip 5
Data Views Adapted to Customers Create More Relevant Insights
Tip 4
More Data Increases the Actionability of the Results
Tip 3
Integrated Data Provides Higher Quality Insights
Tip 2
The Path to Actionable Insights
Tip 1
Buyer Expectations

 

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Integrated Solution from Aldata and Interactive Edge Combines Business Intelligence with Space Planning Data
The Apollo XP3 Integrated Solution enables retailers and manufacturers to gain greater insight into their planogram data and allows creation of reports in near real-time in user-friendly PowerPoint presentations.

XP3 BI Presenter Extends Business Intelligence throughout the Enterprise
XP3 BI Presenter is a Microsoft Office add-in which brings SAP NetWeaver BI or Microsoft Analysis Services data directly into Microsoft Office PowerPoint, enabling users to quickly create high-impact, dynamic presentations utilizing existing SAP BEx quieries or Analysis Services OLAP cubes.

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Business Tip 17
How to ... Create Customer-Specific Views

As we have discussed earlier in this series (see Tip #5), not everyone defines a category or category segment the same way or reports on the same time periods. Manufacturers define product structures to reflect the way they manage their business internally, or the way they believe the consumer generally shops the category. Retailers may look more specifically at their category shoppers' behavior to define a different product structure, include additional products, or base it on the way that they are managing the retail side of the business.

Creating and managing these different views has been a difficult and time consuming issue in the past. Now applications, such as Interactive Edge’s XP3 Suite, can store and report on unlimited view definitions.

Create a Starting List

It all begins with creating a data source at the UPC/SKU level for defining the product structure. The starting list should be large enough to eventually include all the SKUs that would be in each customer’s definition. Each SKU would be attributed with segmentation, characteristics or descriptors. Here is an example of the Auto Dish Detergent with the starting segmentation.

It is important to have the ability to create unlimited number of segmentations to accommodate all the different product structure definitions. The same is true for defining custom time periods, such as the Fiscal Year To Date for a retailer.

Assign Segmentations

Each of these segmentations is assigned to each UPC or SKU.

While there is an option to add segmentation manually, this is impractical for large numbers of SKUs or a large selection of retailers. A better approach is to make use of the program's capability to read retailer-specific definitions from such sources as plan-o-gram files and retailer vendor product profiles.

Using the XP3 Import command, this segmentation can be imported and automatically assigned to each SKU sold by this retailer.

The new retailer-specific segmentation is now stored in the database and available to be used in charts and tables. Periodically, these segmentations can be updated as the retailer adds or deletes items from the plan-o-grams or modifies the product structure. Monthly updates can even be automated to make the update process seamless.

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The data, products and accounts depicted in this example are fictitious. Any resemblance to actual data, products or accounts is purely coincidental.

 
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