Spectra Analytics is a boutique data analysis and research consultancy firm. It was established by members of the Centre for Complexity Science at the University of Warwick. Spectra bridge the gap between academia and industry to deliver cutting-edge, bespoke solutions to businesses across a broad range of industry sectors. We provide integrated solutions that can be standardised across a business’ platform, to allow executives to make timely and fully informed decisions.
We believe that our clients are the experts in their business. Hence, we are not here to tell our clients how to run their businesses. Instead we try to foster a close relationship with our clients to allow us to synergise their knowledge with our expertise in data analysis. Our aim is to provide our clients with the information they require to make informed decisions. However, for any data-driven approach to be successful there must be a willingness to integrate the analytics throughout the firm.
We believe that each company is unique and has its own challenges.
For example, many enterprise organisations are struggling to integrate legacy systems which means they cannot harness the power of their data as it is held in different systems. Whereas other firms may be trying to expand into new areas or scale their business.
Each of these challenges requires tailored solutions.
Spectra focuses on 'Big Information' as opposed to 'Big Data'.
This is because applying simplistic methods can lead to little or no useful information for client businesses, regardless of data size.
'Big Information' on the other hand requires utilising the most appropriate and sometimes most sophisticated data analysis techniques currently being developed.
Spectra has very close ties with Academia. This is important as it allows us to incorporate the most sophisticated techniques currently being developed.
We are regularly included in academic funding proposals as industrial partners. Most recently we participated in a successful bid to renew EPSRC funding for the UK Network on Emergence and Physics far from Equilibrium.
We have worked on a number of academic projects such as Calibrate with Confidence, which has been developed by Warwick and Coventry University to calibrate assessor scores, and a statistical tool for healthcare surveys with the Liverpool School of Tropical Medicine
We are forunate to have several esteemed Professors on our Advisory Board. We also supervise postgraduate students and regularly employ interns during their academic studies.
Spectra originated in the Centre for Complexity Science at the University of Warwick. There is no exact definition of Complexity Science and it means different things to different people. In its simplest form Complexity Science is the study of complex systems, where a complex system is one with many different interacting parts. However, just because a system may have many interacting parts and be very complicated does not mean it is complex. This is because the interactions may still be very simple and deterministic. For us a complex system may be one that has simple interactions at a micro-level but unpredictable behaviour at a macro-level. Alternatively, it may be very complex and unpredictable at a micro-level but display special properties at a macro-level.
Since complex systems are ubiquitous across a diverse range of fields, Complexity Science is a truly inter-disciplinary subject. Individuals working in Complexity Science are in a unique position to draw upon the insights and best practices of a vast range of disciplines. Since Spectra Analytics is founded in Complexity Science we are in an unrivalled position to deliver the best possible solutions to our clients.
Hiring in-house teams can work well but it is often very expensive and time consuming. Furthermore, the knowledge of in-house teams tends to be very narrow which means they don't have the cross-fertilisation of ideas that are common place in consultancy firms. Hiring top data scientists can also be very difficult as they are often drawn to consultancy firms due to the variety of work available. Consultants on the other hand can be available at short notice for specific projects.
Standardised analytics platforms are a great low cost way for businesses to start to develop analytics capabilities and can be implemented quickly. However, they are simply tools and as such require qualified data scientists to implement and analyse. They are also limited in scope and not specifically designed for an individual's business needs. This means building an in-house team or hiring consultants.
- Use cutting-edge research to unlock the true potential of businesses
- Improve society by contributing to the 'body of knowledge'
Spectra Analytics is a value-driven organisation with the values built around three pillars: our people, our clients and our society.
- Firm’s biggest asset
- Focused on delivering results
- Epitomise integrity and honesty
- Act in accordance with the highest professional standards
- Intellectually curious and keen to share knowledge
- Display creativity and imagination
- Our clients come first
- Build long-lasting client relationships
- Deliver the best to every client and aim to surpass expectations
- Provide clients with the most appropriate solutions for their needs. The most complicated solutions are not always the best solutions
- Keep client information confidential
- Contribute to society through the pursuit, dissemination and application of knowledge
- Build a foundation for best practice in quantitative and qualitative analysis
- Honest and transparent approach to statistical analysis
Research ethics are at the heart of our work. Therefore we have implemented a rigorous Research Code of Practice. This draws upon the guidance and good practices espoused by the UK Research Integrity Office (RIO), Research Council UK (RCUK) and the University of Warwick.
In addition, many of our employees will either hold, or be working to obtain, charters in Mathematics and Science. Hence, we also expect all our employees to uphold the Codes of Practice set out by the Institute of Mathematics and its Applications (IMA) for charter holders.
Technology is at the heart of data analytics. It is only with the increase in processing power and data storage that we now have the ability to tackle 'Big Data'.
Spectra Analytics has access to state-of-the-art high performance computing facilities. These include distributed computing and supercomputer facilities with petabyte data storage through MidPlus at the University of Warwick. We also make use of parallel processing, GPU and cloud computing where required.
To us the most important aspect of data analytics is data security. All of our client's data is very important to us. To this end we have measures in place to protect client data. We use 256-bit AES hardware encryption on all our devices. We would be happy to discuss our security arrangements with clients and put in place other safeguards as required.
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