ICT, Business Intelligence & Consultancy Services
Business Intelligence Development
Do you collect data, but yet do not extract the full meaning and intelligence from that mass of information? Then you might be in need of a business intelligence solution customised to your specific needs, to help you manage your data and prepare for growth.
We will assist you with the process of collecting, processing, storing, analysing, reporting, archiving that data. We will even assist with eventual migration to a new strategic platform, or guide you with the secure destruction of that data in full accordance with the Data Protection Act.
From Big Data analysis to more modest initiatives, give us a call to start extracting full meaning from your data. The related areas of Business Intelligence are explained below.
Data Collection
A usual starting point for data collection, your paper forms and your on-screen data collection systems should be carefully aligned to simplify data acquisition and organisation.
Form design is critical to this component to ask the right questions and to efficiently capture the needed details.
Data Processing
After collecting your data, it should be carefully prepared for integration with other data sources. For example, enriching the incoming data, adding tags, removing duplicates, and so on.
Having the right information to guide this aspect of your business may speed up the time to react to customer demands.
Data Storage
Your data, when at rest, should be secure. We provide advice and guidance on appropriate steps needed to securely encrypt and store your data.,
Data backups are strongly recommended to safeguard your company's data and intellectual property.
Data Analysis
Analysing your data requries a good understanding of statistics, as well as deep insight into the meaning associated with each piece of data that was collected.
Large data sets, when queried, may reveal hidden truths about the data itself, and the customer interaction that led to the data.
Reporting
To convey the meaning discovered in your data, you need to design and prepare suitable reports for your audience, paying special attention to users different preferences for data assimilation.
For example, this may involve preparing lists of data as well as charts.
Secure Archival and Destruction
Data not actively referenced should be appropriately archived for later retrieval.
When the retention period has elapsed, this data should be safely destroyed to avoid the chances of data mismanagement and information governance mishaps.