Data Management is a key factor in an information management strategy. Data management will examine the content of the larger databases and the data they house rather than the applications which they’re running on. As CRM systems are now set to include the whole process of data governance. The whole life cycle of any given piece of data will be tracked and recorded from its initial creation all throughout its use and then its deletion or archiving.

Content management is a more recent concept in information management. Any unstructured data would be categorised through your content management. Out of all the data within any given organisations on average around 85% of it will be unstructured. Unstructured data is anything that isn’t held in a specific template or application and is typically word and excel docs as well as online and email content. As more data is passed around virtually and cloud computing continues unstructured data is set to increase.

Business intelligence looks at the more formal data your organisation gathers. The underlying principle of business intelligence is being able the data produced from your business and use it to benefit your organisation. That information is usually gathered and stored in a data warehouse. An example of this could be asset tracking software. By tracking your fixed assets you can pin point who is responsible for them as well as their depreciation. The business benefit derived from this would be the money saved in not having to replace fixed assets prematurely.

The data gathered from tracking only from a single source perspective is called master data management. An example of this would be the tracking the sale from one customer and noting where they came from and the end result as this would mean you’d be able to track whether that sale came from a sales lead or a marketing lead.

The easiest way to determine whether you have clean accurate data is to look at your decision making process within your organisation.

Business that run an effective information management strategy allow their data to be accessed by the right people at the right time in the right layout. For this to happen effectively all data both current and legacy needs to be stored somewhere easily accessible and safely for it to be called on whenever it’s needed. The purpose of this is to help your business move forward and be as profitable as possible. One example could be examining where your business revenue is coming from by looking at the data from the sales team. 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. This also has the potential to stop your organisation spending money on new equipment if it didn’t really need replacing yet.

A productive information management strategy consists of four main areas. 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 information that is smaller and maybe more related to just one of your departments would be organised by your enterprise content management. This could include tracking all your fixed assets. The corporate business data that is used to help structure and improve business productivity is called business intelligence and this data is housed in a data warehouse. If you’re just taking the information from a single sale focus this is called master data management.

Data Management is a key factor in an information management strategy. Data management will examine the content of the larger databases and the data they house rather than the applications which they’re running on. As CRM systems are now set to include the whole process of data governance. The whole life cycle of any given piece of data will be tracked and recorded from its initial creation all throughout its use and then its deletion or archiving.

Content management is a more recent concept in information management. Any unstructured data would be categorised through your content management. Out of all the data within any given organisations on average around 85% of it will be unstructured. Unstructured data is anything that isn’t held in a specific template or application and is typically word and excel docs as well as online and email content. As more data is passed around virtually and cloud computing continues unstructured data is set to increase.

Business intelligence looks at the more formal data your organisation gathers. The underlying principle of business intelligence is being able the data produced from your business and use it to benefit your organisation. That information is usually gathered and stored in a data warehouse. An example of this could be asset tracking software. By tracking your fixed assets you can pin point who is responsible for them as well as their depreciation. The business benefit derived from this would be the money saved in not having to replace fixed assets prematurely.

The data gathered from tracking only from a single source perspective is called master data management. An example of this would be the tracking the sale from one customer and noting where they came from and the end result as this would mean you’d be able to track whether that sale came from a sales lead or a marketing lead.

The easiest way to determine whether you have clean accurate data is to look at your decision making process within your organisation.