Category management is all about interpreting data as accurately and clearly as possible. It’s easier said than done. Product categories produce reams of data, and this data isn’t always accessible or understandable. When you don’t know what your data is telling you, you can’t make smart business decisions.

That’s where data visualization comes in. Using a data visualization tool that works on your smartphone, you’ll better optimize product assortments and clusters, as well as launches and promotions—all from anywhere your phone can go.

With mobile data visualization, you can save time and frustration, provide better reports to executives and, most importantly, improve customer satisfaction by learning exactly what products to offer at specific locations.

Read on for three ways you can use the mobile data visualization tool, SAP BusinessObjects Roambi, to improve category management reporting and results.

1)Simplify Product Assortments

Appropriately defined product assortments help satisfy customers’ needs. They also help you increase sales and inventory options, identify when to introduce new products, and when to implement potential cost reductions.

One way to visually simplify product assortment is with our Squares View. This view helps you focus on inefficiencies, forecast future orders and gauge overall store revenue based on product brand, category and store location.

Squares View gives you the data you need to optimize product lines and produce bottom-line results. You can view overall performance by region, territory, product or period of time on a two-dimensional, color-coded grid. It offers fish-eye zoom to navigate through the complex grid, filtering to customize the grid parameters, sorting for on-the-fly instant analysis, and a zoomed-out option to view the entire grid. (Related read: How Retailers Can Use Data to Improve Store Layouts.)

2)Reveal Complex Product Cluster Relationships

You know that the data you collect from product clusters show you insights on store layouts, promotions and overall groupings. What if you could collect that data more efficiently for better insights on your product lines and groupings?

Try  Layers View, which easily expands and contracts for deep dives into lists. Tap any row to reveal a more detailed account of data, apply unique sorting to each level of the report, color-code feedback, sort the order of columns, and create microcharts to highlight or reveal more complex relationships within your data.

With Layers, you can seamlessly drill down into information based on brand or product line, and view data on a daily, monthly or weekly basis, to best pinpoint the success of you store’s product clusters.

3)Immediately Improve NPIs and Promotions

Effective new product introductions (NPIs) and promotions are essential to most retail strategies. NPIs help in reducing  new-product failure, promoting successful advertising, as hitting optimal promotional pricing.

An impressive way to simply display your product marketing efforts is with Pulse View. This view enables you to compare two measurements, like discount versus sales revenue, in one combination chart, and plots a base measure to a specific target value.

With Pulse View, you can also compare info with various marketing and promotional campaigns to highlight which activities had the most impact on your store’s revenue.

With the power of Pulse View, you can color-code critical business issues, create a variety of comparison charts for the report, and provide your executives with an interactive dashboard that help them understand trending data.

Pulse View gives you quick insight into the success of intros and promotions, where products should be located, and what their pricing should be.

Give SAP BusinessObjects Roambi a Try

When you’re ready to start improving your category management process and streamline reporting, start a free trial of SAP BusinessObjects Roambi. We offer you a mobile-first data visualization tool, so you can track the most important business metrics, even when you’re away from your desktop.

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