Improve by Analysis and Modelling

Build Models

We have worked with some of the best companies in the world modelling their business and processes to help in improving operational efficiency and competitive edge. The modelling process begins with an understanding of how it will help the business and what objectives need to be fulfilled. The model will then be built around these things in the most suitable way to make the most appropriate decisions.

A statistical model takes the guesswork out of thinking there are patterns in your data. Using a statistical model, you can mathematically prove if there are relationships between elements of a dataset and if so you can assign a number to the degree of the relationship. When you model real world data, relationships are a grey area. There are exceptions to rules due to the complexity of real world interactions. Intellisolve sets up statistical models the same way as financial models, focusing on the business need first and building the model around that.

When modelling complex processes, it helps to have an abstract simplified view of the data. It gives you a better understanding of the components in the process and allow you to make more informed decisions based on a better understanding of the data. A good data model is structured around its usefulness to the business and how it contributes to achieving business objectives.

Before creating a business case, it is best to start out with the business objectives and what the plan is to measure these. Once the objectives are worked out, the business case can then be built around these. Intellisolve have a standard methodology of delivering business centric business cases, working out the customer objectives first so stakeholders will be focused on this throughout the process.

Financial modeling is the task of building an abstract representation (a model) of a real world financial situation. This is a mathematical model designed to represent (a simplified version of) the performance of a financial asset or portfolio of a business, project, or any other investment.

A single version of the truth is a business intelligence term which means reducing ambiguity about an organisations data by storing it in one place. A common problem in organisations is that silos of the same data start to emerge in different areas of the organisation which invariably start to contradict each other. Making sure all users of the same data draw from the same source is essential for users to have confidence in the data and minimize errors in reporting. Intellisolve has a standard methodology in creating these Golden Sources on data.

Our goal is to deliver high quality useful solutions in the shortest time possible making your consulting engagement productive and profitable. Solution delivery is in a process of constant improvement, we spend a lot of time on research keeping an eye out on the latest trends for the market and the best way to deliver solutions. What we have at the moment is a tried and tested methodology for engagement and delivery using the agile methodology, which focuses on putting working solutions in front of the customer fast.

Examples of Case Studies

We have been working on data projects for some time now and as a result got some interesting stories to tell.

Statistical Modelling Project
A statistical model takes the guesswork out of thinking there are patterns in your data. Using a ......
Computer Storage Allocation at HSBC
Bringing together different silos of data in your organisation is frequently a great source of in......
Financial Modelling at Barclays
A well organized financial model shines a spotlight on the elements of the enterprise that guaran......
Business Case Analysis at Vodafone
Before creating a business case, it is best to start out with the business objectives and what th......
Financial Modelling at Barclays
A well organized financial model shines a spotlight on the elements of the enterprise that guaran......
Golden Sources at Deutsche Bank
A single version of the truth is a business intelligence term which means reducing ambiguity abou......

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