Our data services consist of data sourcing, data normalization, and data consulting. For distribution
clients that sell their products through ecommerce,
we provide data sourcing and data normalization services. By crawling manufacturer or supplier
websites, Diginable will source product attributes, images, PDFs and specifications to further enhance
the digital buying experience online.
Content is fuel for the online sales engine and Diginable excels
at product data acquisition through data sourcing, data normalization and delivery.
For clients that have silos of data in different repositories such as ERP systems, CRM or HR platforms,
Diginable can be engaged to deliver an agreed upon deliverable for the client.
For distribution clients that sell their products through ecommerce, we provide data sourcing and data
normalization services. By crawling manufacturer or supplier websites, Diginable will source product
attributes, images, PDFs and specifications to further enhance the digital buying experience online.
Sourcing and maintaining data is a growing challenge for distribution companies as their supplier bases have
varying abilities to provide content is usable, digital formats.
Data Normalization is the process of identifying, cleansing and rationalizing variabilities in data,
attributes, product categories and referenced files. Data Normalization is important in order to support a
consistent experience for digital consumers by presenting uniformity in values, attributes and product
categories within the merchandiser’s online catalog or ecommerce platform.
Examples might include:
Variabilities in product categories
Combining or rationalizing attributes
Variability in attribute labels. For example: Outer Diameter, OD, O.D., N/A
Dimensional variabilities in units of measure or values. For example: 2 inches, 2.000, 50.8mm, “02X”, N/A.
Part Number could have 10 different attributes named similarly. For example: Length, Body Length, Overall Length
Variability in string values with the same meaning. For example: Coating: Black Oxide, Blk, Blk Oxide
Categorization of part numbers from different vendors
Diginable’s team of data experts takes data normalization deeper by helping clients present their data in a
customer-centric fashion. Specifically, we make data-based recommendations to clients on attribute labels,
product categories and data based upon how customers search as opposed to relying upon a legacy-based catalog
information hierarchy and knowledge. Diginable’s approach promotes search engine optimization (SEO) while
serving up product data and supporting site search based upon customer trends.
Data Consulting/Big Data
A common challenge within companies is data residing in silos such as ecommerce platforms, product
information management (PIM), ERP systems, CRM and HR Platforms.
It’s also common for manual effort to be required to create dashboards or to report out to specific lines of
business or leadership.
Diginable can be engaged for data consulting projects to create a pipeline between technology platforms,
create dashboards or identify meaningful trends for an important deliverable to the client.