Data Science


What Is Data Science's Purpose & What Are Its Benefits?

Modern instruments and equipment allow us to record and capture so much more information than ever before.  Computers are faster, hard drives are bigger and the processing power of today would be considered alien not even 50 years ago. However, with all this new data that can be harvested, it needs to be analysed in a way that enables users such as scientists and business analysts to manage and use it correctly.

Enter data science, the modern way to collect and analyse data to achieve efficient and reliable results.  Its use can be varied, such as discovering how likely an individual is to buy a certain product based on their age, or to predict the most likely destination a newly discovered species of bird will emigrate to based on similar species and its food source.

Free Consultation!

Want to learn more about how Data Science can can be used in your organisation? Then contact us to book a Free Consultation and learn how our Data Science capabilities can enhance various business operations

As shown in the diagram opposite, data science is a combination of computer science, mathematics, statistics and knowledge of a business and its domain. For a more detailed description, the purpose of data science is to assemble mathematical models and use them to describe current outcomes and/or future results.  By combining mathematical facts and computing, data can be analysed and studied in ways like never before.

Often crossed over with statistics, data science is a method that makes use of computer algorithms to discover a trend or anomaly in collected data, analyse it, provide solutions to problems and then identify similar patterns in the future.  Data science is also often described as data analytics or data-driven science.  In business for example, data science can be used to determine key business decisions for company growth or expansion in a certain field so it is important that the data collected is specific to the requirement and is exactly what is needed.

The system does this by studying the data that has been entered and generate its own algorithms to come up with possible solutions. For example, take the following sequence:

1         2         4         8         16      ?

Of course, you would say that the next number in the sequence is 32 and you would be correct.  However, just telling a computer the answer may help in this case but what if you were not able to solve the next sequence of numbers

1         3         9         27      ?

The machine wouldn’t be able to help as it hasn’t been conditioned to solve problems. So, machine learning is applied to teach the computer to behave in a way that it must solve the problem itself. This is beneficial as it doesn’t need to follow a fixed set of instructions to compute a solution as it generates solutions by processes that it has developed and learnt on its own.  The computer can then use this newly learned information and be able to apply it to other to problems. Machine learning is like computational statistics, which also uses computer systems to solve problems and data mining which focuses on summarising the data and finding similar characteristics between them, known as exploratory data analysis (EDA). Analysts benefit from machine learning properties as they can allow results from hypotheses to be repeated.  The more they are repeated, the more reliable the results.

REQUEST MORE INFORMATION

Send us a message to learn how our Data Science systems can help your business gain a competitive advantage.

How To Get Results From Data Science

The flowchart below summarises the way a data scientist will generate solutions using data science techniques:

Step 1 – Collect The Data
Hypotheses, questions and parameters need to be set to define what data is to be gathered.  They need to be concise and specific to the problem.

Step 2 – Prepare The Data For Analysis
This is done by presenting it in a clear and structured way such as in a table or chart.  The data is then checked to find any anomalies, inconsistencies or data that just isn’t needed for a specific test.  The inconsistencies are either adjusted to display what they should or removed completely. Once this have been completed, the data can then be used for analysis.

Step 3 – Analyse The Data
Here, techniques will be chosen to determine patterns or relationships between the data you have collected.  Examples of these techniques include statistical functions, data visualisation graphs or tables.  It may be the case that more data is required after the results are obtained, in which case, the whole process needs to be repeated; more questions and parameters are set, the data is then prepared and analysed. 

Step 4 – Analyse The Results
The data that has been analysed should now be able to answer the question that was the focus of the experiment.  If the data supports the initial prediction, a conclusion can be made that what has been researched and tested is true.  If not, then the hypothesis can be deemed false. The results can then be used to make the key strategic decisions required.

Data Science's Relevance In Today's World

The importance of data science and data analysis is unquestionable.  Technology will continue to advance and computers will get smarter so it is vital that businesses, researchers and analysts alike are keeping up with the modern evolution of way that data is used.

Science as we know it is changing because of the impact of computers.  Traditional methods of science (experimental, theoretical and computational) are all being affected.  Data science is emerging as the next core method in scientific research and study.

Data science should be integral to all current and future projects.   Decisions should be made with data driven evidence, problems should be solved with data driven solutions and opportunities should be sought out by data driven information.

ENQUIRE NOW TO FIND OUT HOW WE CAN IMPROVE YOUR BUSINESS!

Click below to book your FREE CONSULTATION!

profile-pic
profile-pic
profile-pic
profile-pic
profile-pic
profile-pic

HQ SEO, Cardiff

The AI Recommendation engine helped me to determine which form of AI was most relevant to grow my business. This meant we were able to learn more about the type of AI which would provide the highest level of ROI for the business. Utilising this has helped our company to grow and expand at a more significant rate.

Tom Buckland - Founder

IZY CAPITAL, London

"ARTIMUS provided us with a cost-effective solution to client onboarding including data visualisations to improve our due diligence processes. The fact the ARTIMUS team has a deep understanding of data interrogation and structuring is a valuable resource in the era of customer intelligence"

David Rees - Director

Fitness Assurance, Manchester

ARTIMUS provided us with excellent digital expertise and support in order to create a bespoke online review facility. We’ve been
able to provide a fast free-to-use website that instantly assists visitors in finding and reviewing their fitness providers. The service provided by ARTIMUS was above and beyond my expectations, with a professional but also personable approach. This level of care and attention has certainly helped the website continuously improve and go from strength to strength. Thank you!

Samantha Smithson - Director

Mindful Work Training, Cardiff

We design and deliver online mindfulness training for organisations, for stress reduction. We needed an interactive website that could perform several functions. We contracted Toby at Artimus to work with us on a portal that could serve the trainee, the client and the us.

The brief was complex, but with Artimus' help we managed to make sense of it all, creating the first stages of a facility that will grow as we do. Artimus staff were patient, accommodating and creative in this process and helped us breathe a sigh of relief when we had a working system.

Simon Michaels - Founder and Director

Greyfly Consulting, Bristol

"ARTIMUS provided us with excellent MVP for our Business risk calculator, We’ve been able to provide a fast free-to-use business assessment solution that instantly highlights the risks a business should be focusing on and what risks they are dealing with well. This has helped not only us but our clients and those using the tool."

Lloyd Skinner - CEO

Rocky Ecommerce, Gibraltar

"We needed a fully functional, exclusive e-commerce platform built within a specific timeframe at a reasonable cost. Because of our extensive requirements, it deterred some other businesses from taking on the project. Artimus was my best alternative which offered services tailored to my specific needs; exceeding my expectations. Their unique solution provided the foundations for business as well as forming an excellent relationship to achieve a common goal. Artimus is a very specialised and professional entity of whom we would recommended to anyone looking to kickstart or revitalise their organisation"

Nathan Stockford - CTO