Methodology

We possess a wealth of experience in statistical, business and economic analytics. 

Building on a background in research data, we have a keen sense of the data landscape and where to obtain important contextual data, for example on the labour market or neighbourhood data. Using all the information at our disposal we perform robust, consistent and flexible analysis in order to generate illuminating observations. Our methods are transparent and accessible so that they can be challenged and improved if new information comes to light.

Our approach to analysis can be seen in terms of an analytical framework, comprising three elements: data, analysis and presentation.

1. Data

In order to understand and assess a business's situation, high quality information must be gathered, formatted and structured in order to form a knowledge base. Information is gathered both in the form of business understanding and data capture. We work with clients to help them fully understand the information that they have available, how best to structure and store that information, and how to share that information with us for analysis.

Data comes in many different forms, from raw data which has never been looked at to data which has been processed through various accounting or business systems. Our expertise in data handling allow us to take data in any format and structure in such a way that lends itself to analysis. We help our clients better understand the information which they possess, and help them to understand how best to collect and store this data. We work with data in all forms, from Excel spreadsheets to SQL databases and accounting system files.

2. Analysis

Our team includes statisticians, operations research professionals and economists. We undertake a wide range of analysis, that can vary from the simple ranking of a number of metric scores, through to bespoke data mining.

For example, consistent poor performance in part of a business might be reflected by an alert that shows as a persistent red 'traffic light'. However management need to know if that is due to poor performance or factors outside the management control (like tenant characteristics or market conditions). This might involve regression analysis to assess the impact of different factors on performance, enabling management to focus on the significant factors under their control.

We normally work in Excel, Stata, EViews and R.

3. Presentation

The third part of our analytical framework is the presentation of data. Much of this is focused on data visualisation. We believe that without an adequate focus on the communication of analysis and consulting, much of the value of an engagement can be lost. Hence, in our team, we have a high level of design expertise. Much of this is expressed in our visualisations, but we also produce standard management and research reports in a variety of more static media (Powerpoint, pdf).