FILE ANALYSIS SERVICE (FAS)

The File Analysis Service (FAS) collects system file information. This information is used to recommend areas where file system storage can be optimised, enabling cost savings and system optimisation.
The file analysis tool created by ICT Analytics analyses your file systems and provides detailed reports on your disk usage. Armed with this information you can maximise your investment in your storage and build an informed strategy on future storage purchases. The information can also be applied to maximise your storage investment through deduplication and archiving thus improving your backup throughput and disaster recovery planning.
Recent studies show storage requirements increasing up to a staggering 75% year on year. An informed storage strategy helps maximise your future storage purchases and increase your ROI. Customers using our tools have reclaimed up to 70% of their existing storage by utilising deduplication and archiving technologies.
Every organisation faces a number of key challenges:
Reducing cost.
Managing growth in (particularly unstructured) data.
Increased accountability.
The need to protect a key asset: company information.
These challenges lead to common IT initiatives such as consolidation, data protection and data reduction, and include the following key factors:
The amount of information within the organisation.
The value of this information over time.
Existing IT infrastructure limitations.
End‐user behaviour.
Available budget.
Meeting increasing compliance requirements for retention.
FAS is focused in particular on the analysis of unstructured data and files which is by far the most prolific and complex to manage and control. Studies consistently show that as much as 80% of an organisation’s data originates in this form. Unstructured data consists of two basic types:
Textual objects based on the written language such as letters, proposals, numerical analysis, email, presentations etc.
Bitmap and non‐language-based objects such as images, videos and audio files.
In contrast, structured data – being typically stored in centralised applications such as CRM & ERP and databases ‐ can be managed and controlled more easily.
In summary, unstructured data has many attributes that can be collected and analysed to provide an accurate and clear picture to support an organisation’s data management decisions both in the short term and more strategically.