Prepare your data
Get ready to sell by gathering data from all possible sources. Define your rules and tunnel all information to a unique repository:
Data Mining
- Collecting information from different sources
- Populating information into desired output formats like CSV, MS Excel, MS Access, and MS Word etc
- Checking product details and updates like prices, rate comparisons, product listings, product descriptions and product availability, product images and product catalogs and feeding them onto a content management system, directly into the marketplace or an online portal
- Clustering information, creating information repositories and combining multiple databases to make a data warehouse
Scheduled data transfers
- Preparing data or image for schedule transfer to customers or suppliers
- Transfer via email, cloud service or FTP
- Transfer reports and notifications
Image processing
- Format change, resizing, renaming and reclass based on company standards
- Name encoding and watermarking for copyright protection
- Database indexing for eCommerce use
standards
- Defining company standard by creating data specifications and transfer protocols
- Creating data warehouses to support the back end of the company eCommerce
- Establishing data upload best practices and document procedures
- Creating a data Work Flow
- Normalizing data to fit internal or external standards. Use of normalizing tables or Fuzzy logic rating
Automotive data
- Manipulate large amount of automotive data keeping relationships between interchangeable numbers, specifications and applications
- Interconnect automotive data with car population (VIO) to identify sales opportunities
- Comply with ACES and PIES standards
- Interconnect EPID numbers