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Product Information Management

Accountable for product information management and want some practical suggestions to reduce information management costs?

What is a product?Product Information Management

Products are usually classified as:
  • Items, which are tangible products either sold, manufactured or purchased by the company and usually have several means of identifying the product such a:
    • Manufacturer’s id number;
    • Stock keeping unit number; 
    • ISBN (International standard book number) for books; and
    • Universal product code number.
  • Services, which include services provided by the company, such as professional services, or required by the company, such as contracted services.
Products can be sub-components of other products e.g. think of an aircraft:
  • Injector systems may be comprised of several products;
  • An injector system may be one of many systems installed on an engine;
  • An engine may be one of many systems installed upon a propulsion system; and
  • A propulsion system is one of many systems installed upon an aircraft.
The aircraft is sold as one product by the manufacturer but is comprised of many thousands of systems, sub-systems and component products.

What product information management is needed?

Most companies track product information such as:
  • Cost and availability to ensure optimal purchase pricing and no delays in obtaining raw materials;
  • Inventory quantities needed at supply locations to ensure no product shipment delays to customers;
  • Cost of manufacturing products, to help determine profitable pricing strategies; and
  • Competitors pricing for similar products, to gain competitive advantage.
What product information management is required?

The following data is usually required to manage products:
  • Product feature or attributes. Products require a means of defining exactly what the product looks like e.g.
    • Brand name;
    • Product type;
    • Color; and
    • Dimension.
  • Marketing prospects. Some companies need to track the type of customers or prospects who are interested in a specific product to help with campaign management;
  • Supplier information.  Companies may want to compare prices to get the best price;
  • Inventory levels are critical to most companies to ensure profitability. Companies usually need to know the inventory level at each location and key things such as the reorder level and quantity required for reorder. Depending on the nature of the business, this inventory management can be very specific even tracking the individual bins or storage locations that contain the inventory;
  • Product pricing.  Companies usually track different prices for products including:
    • Base price;
    • Discount price; and
    • Surcharge price.
These prices may vary depending upon the number or products purchased or sold, or by location.
  • Product costing.  Companies track the cost of production to help ensure profitable product pricing; and
  • Product replacement. Some products are discontinued and can be replaced by another product and companies need to track this to facilitate obtaining the correct product.
Where is product information management used?

Product information is used by a variety of management information systems such as:
  • Order entry;
  • Billing;
  • Invoicing;
  • Accounting;
  • Contract management;
  • Project time reporting and management; and
  • Inventory management.
What are some product information management challenges?

Product information is required in many different management information systems and this presents synchronization challenges.

Suppose you purchase a product on-line and are assured next day delivery as required. You then find that it is back-ordered because there is no on-hand inventory. The inventory management system was updated with inventory levels but the order entry system was not updated.

This is a common type of data challenge.

Why is product information management important?

Product information is involved in many business functions such as:
  • Customers place product orders;
  • Employees take product orders;
  • Products are shipped to customers;
  • Vendors provide products;
  • Companies sent requests for product quotes or proposals to companies;
  • Employees report time and expenses required to make products or deliver services; and
  • Organizations and people are involved with contracts and other agreements for products.
If every application captures and stores product data, then there is a lot of redundant processing. This increases the information management costs e.g.
  • There is cost associated with synchronizing data between systems;
  • There are additional data quality issues and costs as different systems may capture data using different rules;
  • There are additional data movement costs as it is necessary to load data warehouses from multi sources and to sort out which data is the correct version and the most accurate version.
What is a better way to manage this information?

Create a logical model and then use it to drive the design of a single relational database to store product data and other data, which is related to product.

Applications that need this data should then access the common database.

What are the benefits of this approach?

One database will:
  • Eliminate redundant data;
  • Reduce database administration cost;
  • Improve data quality; and
  • Provide better return on information management investment.
Is this the only way to manage this information?

Realistically, most companies have a significant investment in current applications and cannot afford the redesign and development effort.

Master data management programs are becoming a practical, but perhaps expensive, means of ensuring synchronization of key data among applications.

What are the benefits of master data management?

A sound master data management program will ensure data synchronization between systems and eliminate many of the issues that currently exist.
 
Summary…

Product information management is used by almost every corporate management information system and needs to be managed to avoid storing redundant data. Data storage designs should be based in an enterprise logical data model to ensure better return on information management investment.

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