Company Performance

Introduction to the Daasity "Company Performance" Explore.

The Omnichannel Company Performance explore provides a holistic view of weekly product sales across all sales channels (e-commerce and retail combined) for your entire business. It is designed for high-level executive monitoring and analysis of total company performance. This explore aggregates data from all sales sources into a unified weekly snapshot, filtering out any duplicate channels or non-owned (competitive) products to ensure accuracy in reporting your brand’s true performance. (Note: Prior to July 2025, this explore was referred to as “Omnichannel Weekly Sales” ; the name was updated to “Company Performance” to better reflect its purpose.)

Note: This is the data model that powers our Homepage KPI Dashboard.

What's Included

• Total Dollar Sales (ie Net Sales): The core measure is total dollar (net) sales for each week across all channels, representing the sum of revenue from e-commerce platforms (e.g., Shopify, Magento), marketplace channels (Amazon, etc.), and retail/wholesale channels, combined. This gives a single KPI for “What did we sell this week?” across the entire company.

• Units Sold: Alongside revenue, you can analyze total units sold per week. This helps in understanding volume trends independent of pricing or AOV changes.

• Channel Breakdown: Although Company Performance is aggregated, it often includes dimensions to break down by major channel category (E-commerce vs Retail) or by specific channel, in case you want to see contribution by channel. For example, you might slice the weekly sales by channel to see how much came from DTC vs Amazon vs Retailers. The explore’s definition filters duplicative sales to avoid double counting:

  • If the same sale is recorded in multiple sources (like a syndicated data source and your own data), the explore includes only one to avoid overstating.

  • It excludes competitor products (for syndicated retail data, if your data includes category or competitor info, those are removed here).

• Year-over-Year Comparisons: Because this is weekly data, you can bring in a YoY comparison (many Company Performance dashboards do this). While the explore itself might not directly calculate YoY, it provides last year’s week sales if available or you can join the explore to itself to compute YoY growth %.

• Key Ratios: If custom metrics are set up (via Daasity’s metrics definitions), you might see things like average order value or other derived metrics. However, since this is a high-level explore, such ratios might be handled in dashboards rather than as base explore fields.

Use Cases

• Executive Summary Reporting: Company Performance is ideal for creating an executive dashboard that shows total company sales each week and how they trend over time . It answers at a glance: “How is the business doing across all channels?”

• Channel Mix Insights: By using breakdown dimensions, leaders can observe which channels drive growth or declines. For example, perhaps retail is accelerating while e-commerce is steady – this explore can highlight that with appropriate visualization.

• Data Quality Check for Totals: Because it aggregates all sales, it’s often used to reconcile whether the sum of all channel-specific reports equals the total. Any major discrepancy might indicate an integration lag or double counting outside of this explore.

• Complementary Detail Explores: For deep dives, you’d use channel-specific explores (like separate E-commerce or Retail explores). But Company Performance can serve as the starting point; from a high-level anomaly you spot here, you can drill into Omnichannel Sales (see below for distinction) or other detailed explores.

Relationship to Other Explores

• Omnichannel Sales vs Company Performance: The Omnichannel Sales explore (see below) includes all markets and product lines without filters (“all markets and products… whereas Omnichannel Sales - Total Company applies filters”). In contrast, Company Performance (previously sometimes called “Omnichannel Sales - Total Company”) filters out duplicate channels and competitor products for a clean view of your owned business. In practice:

  • Company Performance = Omnichannel Sales (all data) filtered to just your brand’s sales, ensuring no double counts and excluding non-brand.

  • Use Company Performance for official total company numbers. Use Omnichannel Sales if you need to include everything (e.g., to see total category including competitors or to double-check data ingestion).

• Channel-specific Explores: Company Performance is at the highest aggregation. Explores like “E-commerce Orders & Revenue” or retail-specific explores (like those for each retailer or unified retail sales) feed into it. If you need to answer “which SKUs drove that weekly spike?”, you can see that from this explore- but if you wanted to see, "which stores or sub-regions drove that spike?" you’d have jump to an explore in e-commerce or retail domain with that level of granularity. Company Performance will show that a spike occurred and in which channel + product, but will not have all of the same granularity and metrics as you will have available in channel and source-specific explores like the Retail Competitive Analysis or Ecommerce Performance explores.

Fields and Filters Overview

• Dimensions: Likely include Week (as a date or week number), and possibly Channel/Channel Type as mentioned. Product or Category dimensions may not be present here since it’s total, but if they are included, filtering to “All Products” or specific segments can be done (keeping in mind it’s all owned products by default).

• Measures:

  • Dollar Sales (equivalent to Net Sales in E-commerce by default, or the Custom Revenue override)

  • Units Sold (weekly total units).

  • YOY% change and Last Year Sales (if pre-calculated).

• Filters: The explore inherently filters out competitor products and duplicate sales channels as noted. You can filter by time period (e.g., Last 12 Weeks). You might also filter by a channel if you temporarily did want to see one channel.

Note on Data Freshness: This explore updates weekly on Sunday with the latest week data across all of your sales channels.