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From The Blog

Enabling An Omnichannel Data Solution with Daasity

Authored April 12, 2019

“How are sales this month?” Seems like a straightforward, simple-to-answer question, especially with so much data and tools right at our fingertips. If you are an omnichannel retailer without an effectively designed data warehouse, this question probably takes some time to answer.

What does omnichannel mean?

Being an omnichannel retailer means you sell your product or service across multiple sales channels. For example, you might have an online site that you sell direct to consumers, and via Amazon or other marketplaces. Some brands also have their own branded stores and sell through other big box stores. The advancements in technology and an easy user experience across platforms has made it easy for companies to set up multiple storefronts and many are using at least 2 sales channels today.

How to measure omnichannel sales

Measuring omnichannel sales effectively requires a data warehouse that combines all existing sales sources. Data warehouses are typical of large enterprise corporations, but are not as typical in smaller brands. The reason a data warehouse is required is because each sales channel (i.e., online store, Amazon, POS system) will have a different way of storing and coding the data. Data can only be combined when the attributes match exactly. But, with the right logic applied to each data source, the data from each source can be transformed to one unified source to provide a holistic sales view.

Why having an omnichannel sales view is important?

An omnichannel sales view is important to enable better decision making for both day to day management and long term strategies. Looking at each platform in a vacuum or silo can cause companies to miss important trends or make decisions that may not be the best for the overall company.

Let’s explore a few examples

Example 1: Marketing Impact

Let’s face it, consumers don’t do what we want them to. Even in the digital world of trackability, accountability and pixels upon pixels, the directly measurable impact of marketing activities are never the entire story. Running ads on facebook, for example, might lead a consumer to look up your product on Amazon. Because these platforms are separate, it would be difficult to make a connection. Having all data connected in a data warehouse makes it easier to see connections across platforms and channels.

Example 2: Product Inventory Management

How about looking at product sales holistically? You probably have an inventory management system or warehouse management system (IMS/WMS) that lets you know the general in-stock quantity. Surely someone is reviewing reports to be aware of fast and slow movers, right? RIGHT? Where products are selling (ecommerce, marketplace, retail) and how quickly can lead you to make different decisions. Are you running low on a top product in retail? If retail customers are more valuable than Amazon, for example, then you may make a decision to not sell that particular product on Amazon in the short term to preserve inventory for retail customers. However, if you are just looking at a top level in-stock number, then you may end up letting this product sell out and miss out on more valuable customers and profit.

These are just two small examples of the power of an omnichannel view of your business.


A holistic view of your company’s performance can dramatically change how you make decisions to run your business. If creating or enabling a centralized data warehouse seems like an overwhelming or out of reach project—it doesn’t have to be. Daasity’s proprietary platform is designed with D2C brands in mind. The platform can create your data warehouse in a matter of days, not months all at an affordable cost.  If you are drowning in spreadsheets, or don’t even know where to start, contact Daasity today.


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