• Strategy
• Operations Analysis
• Organisation Structure
• Performance Management
• Communications
• Workforce Training
• Marketing & Customer
• Customer Experience
• IT & Web Infrastructures
• Systems Measurement
• Financial Exit
• Post Merger Integration
• Market Due Diligence
• Brand Evaluation Project
• Data Mining

Data Mining

POTENTIAL ISSUES

• Our group employs a Business Intelligence tool(s) in order to measure our business functions, but does not appear to provide any insight to help us with business decisions. Variances in results from period to period are too small.
  
• We are inundated with data reports from different groups and sources. Each one looks different and it is messy. I want to be able to make sense of it.
  
• We have all this customer data which we’ve gathered over the years, but we’re not sure what is clean or dirty data and what is helping us with our marketing campaigns.
  
• No one is using the data! Our operators are too busy and they don’t have the skill to interpret the data. The data is being presented but we don’t know what to do.

DESCRIPTION

An effective Data Mining process is part-art and part science. The science part utilises technology, tools and processes to manage large amounts of data to sift out valuable pieces of information. The art is in the experiential knowledge of the foodservice industry, directing the process where to look for significant information.

A number of processes are used to clean the data and develop relationships between the blocks of data. Statistical tools are then applied understand the implications of internal business drivers and external forces

Samplings are taken before exhaustive (and expensive) studies are undertaken if at all. Data mining processes can be cost prohibitive unless intelligence is applied to the scope of work. The key is to get information to make understand and respond to the business needs whether it be marketing data, product data or all management data.

HOW WE CAN HELP YOU

By taking your data and converting it into timely and useful information, allowing the business to make fact-based decisions. For example it can direct the process of site selection in a geographic expansion or reveal where your operations may be able to reduce operating costs.

By developing a system that directs operators how to manage their business on a day to day basis to improve their business results. For instance, data mining will allow operations to develop methodology and metrics to proactively schedule labour rather than reactively respond to high labour cost.