Wednesday, October 25, 2017

Problems with Non-IT systems


1. Data Redundancy
Data redundancy is a condition created within a database or data storage technology in which the same piece of data is held in two separate places. This can mean two different fields within a single database, or two different spots in multiple software environments or platforms.

2. Inventory Inaccuracy
Inventory inaccuracy is a main issue in businesses dealing with physical assets. The aim of this paper is to examine the relationship between inventory inaccuracy and performance in a retail supply chain. We simulate a three echelon supply chain with one product in which end-customer demand is exchanged between the echelons.

3. Insufficient Reporting
Insufficient reporting is related to the lack of complete reporting with cross department data and also real time visibility into the status of all processes from quote to cash for decision makers.

4. Manual Paper Processes
For many organizations, information control processes are managed separately by different departments. This proves ineffective as individuals in one department lack visibility into important data control procedures implemented within other departments. In addition to the challenge of coordinating disparate electronic data management methods, the problem is frequently exacerbated by the use of archaic, manual processes for storing and organizing critical documentation in physical file folders.

5. Low Customer Retention
Customer retention refers to the activities and actions companies and organizations take to reduce the number of customer defections. It is important to remember that customer retention begins with the first contact a customer has with a company and continues throughout the entire lifetime of the relationship.

6. Maintaining Separate Systems
If a company is not using a system then they will likely be using accounting applications, spreadsheets, desktop applications, home grown applications and disparate applications. All of these systems increase the chances of contradictory data because they are hard to maintain and update and have an overall larger cost for doing so.

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