
MSPs: What investors should consider?
June 27, 2023
The data science industry has seen explosive growth in recent years. But many companies still don’t know how, or even when, to use it.
Our philosophy involves really exploring the problems your business faces, and solving them with hypothesis-driven development. Our data science services focus on demonstrable return on investment, not artificial intelligence smoke and mirrors.
Our years of experience have shown that most data are of low value, and that most complex machine learning models don’t produce clear business value over simpler alternatives.
Successful data science projects embrace these limitations instead of hiding them.
If your business is considering implementing a data science strategy, it needs to experiment first. By embracing a scientific, ‘learn fast, learn early’ attitude, it’s possible to avoid years of failure.
We recommend using ROI as the main indicator of success, and committing to practicable, testable ‘experiments’: not grand visions that don’t realise.
The next decade of data science will look very different to the last. We anticipate the most successful data teams will primarily include ‘fixers’: Software Engineers that focus on the transformation of data to alleviate bottlenecks.
Some of the most impactful data science solutions are already deployed as software, and we see this trend continuing.
In addition to our Data Science and Machine Learning services, we create value for some of the UK’s fastest-growing brands by assessing, advising on, and building technology. Would you like to learn more? Get in touch with our team of experts to arrange a free consultation.
As trusted advisors to some of the UK’s top private equity investors, we have a strong commitment to creating business value.
We apply this approach to all our data science services.
Our highly skilled team of Data Scientists are experienced in a wide range of projects and industries.
We deploy a hand-picked team of experts for every data science and machine learning engagement.
As technology agnostics, we believe in objective and strategic decision-making when it comes to choosing the best technology for each project.
We use tried-and-tested methods to get results.
No two data science and machine learning projects look the same.
We solve business problems by building bespoke solutions that wrap around your business and tech stack.
We take pride in our honesty when delivering our data science services.
We will never sell you a solution that you don’t need, and we will always give you our honest and professional opinion.
We deliver our data science services and projects with an agile methodology.
This means that delivery is fast and incremental, centered around continuous feedback and improvement.
Trusted By Leading Companies