An Example Of Information Management
Running an effective information management system within your organisation means structuring and organising your data so it’s always available to whoever needs in whenever they need it. This means ensuring all your legacy data is sensibly and safely stored in a manner that means it can be called on at any time. The purpose of this is to help your business move forward and be as profitable as possible. The data from your sales team would be needed to show where the money is coming into the business from. This could be tied with the marketing data to analyse which campaigns were the most successful. These stats and data could be helpful for the finance department to help deduce a sensible budget to any ongoing marketing campaigns.
The fixed assets within an organisation could also be monitored through an effective information management strategy. For example if your company invested in a set of new laptops you could use asset tracking software to track them. You could use the information provided to see at a glance who is responsible for any of the machines at any time. You’d also be able to track the depreciation of fixed assets too which would allow you to make a sound judgement on when they’ll need replacing. Your organisation would then have the potential to save money as it wouldn’t be replacing any assets prematurely.
There are four main components for an effective information management strategy. The first element is data management which the bulk data in your large databases. This information might include things like old sales records or even competitor stats. Any pieces of small information and data that are maybe department specific would be organised by the enterprise content management. This could include tracking all your fixed assets. Business intelligence data is more corporate and used to derive business benefits and this information will usually sit in a data warehouse. Master data management is taking the data broken down from one point of view of the customer and this is often used to prevent data duplication especially in sales leads.

