Structuring Your Information Management

August 25, 2010 by admin · Leave a Comment
Filed under: Data Recovery 

Data management is one of the core aspects to information management. This is because data management looks at the larger databases which most businesses are running off rather than the applications used to run them. As CRM systems are now set to include the whole process of data governance. The CRM will be able to record everything about a piece of data from a file creation and its use within the organisation including modifications through to its deletion.

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. Unstructured data is set to become more common over the next few years as eCollaboration and virtual working becomes more popular.

Business intelligence is the corporate memory of your organisation. 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 in this instance would be the time your save in the event of an insurance claim.

Tracking the data from a single point of view like that of a customer is master data management. Tracking where a single customer came from would be one example of master data management as you’d be able to use the data to attribute whether they’re a sales or marketing lead and who gets the credit.

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

 

 

An Example Of Information Management

August 25, 2010 by admin · Leave a Comment
Filed under: Data Recovery 

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.

 

Structuring Your Information Management

August 23, 2010 by admin · Leave a Comment
Filed under: Data Recovery 

Data management is one of the core aspects to information management. This is because data management looks at the larger databases which most businesses are running off rather than the applications used to run them. As CRM systems are now set to include the whole process of data governance. The CRM will be able to record everything about a piece of data from a file creation and its use within the organisation including modifications through to its deletion.

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. Unstructured data is set to become more common over the next few years as eCollaboration and virtual working becomes more popular.

Business intelligence is the corporate memory of your organisation. 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 in this instance would be the time your save in the event of an insurance claim.

Tracking the data from a single point of view like that of a customer is master data management. Tracking where a single customer came from would be one example of master data management as you’d be able to use the data to attribute whether they’re a sales or marketing lead and who gets the credit.

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

 

 

Organising Your Business Data

August 18, 2010 by admin · Leave a Comment
Filed under: Hardware 

The definition of information management can vary slightly depending on its context. At a base level it’s all about making sure the relevant information is in the correct place in the right format. This means that when a business user needs a critical piece of information it’s available.

Information management has a multitude of reasons as to why it’s so critical for any business. Smaller organisations that don’t have vast amounts of historical data will find information management easier. An example of this could be fixed assets. Information management would be able to manage the asset tracking software and tell you where your businesses laptops were at any time. They’ll also be able to use asset tracking software to track the depreciation of fixed assets too. The majority of businesses with be very dependent on the applications they’re running. It’s the information behind them that’s significant and stays consistent whilst the applications are updated. Once data is no longer current and it becomes legacy it still needs to be filed as it may have significance at another time. This means organisations are starting to place more importance on the information in their systems and not the applications they’re using to run them.

Information management is so crucial to any organisation for this reason. This like evaluation the sales figures from last month along with the stats from marketing will help the finance department make a better decision about how much budget should be allocated next month. This is why the applications used within a business aren’t as important than the actual data being kept behind them. The two main types of data are the structured and the unstructured. To implement an effective information management system you wouldn’t necessarily need any new software as it’s the data itself that is so important. With an application focused business strategy you don’t always get to keep all the information you already have but you would with an information management strategy.

 

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