Why It's Difficult
Quick Bite Insights
What We Bring
When solving new problems, we halve the time and effort between the first and second attempt, eradicating errors on the way, whilst leveraging our experience and library of scripts, code and algorithms, built up over years of development. These digital assets are not readily available to businesses looking to do it ‘in house’ with consequential delays, budget over-runs and poor user experience.
Just like an orchestra needing a combination of instruments to play great symphonies, true digital solutions need a variety of capabilities working harmoniously.
Companies often believe they only need to recruit some data scientists to solve a problem. 18 months later they realise they have misunderstood the true nature of the problem and the variety of skills required.
Well managed data is a great asset to a business, but otherwise a liability.
Although cloud analytics platforms and BI tools are readily available, they lack the library of scripts, tools and processes that can repeatably, accurately and securely convert raw data from multiple sources and types into valuable insights to drive effective decisions.
Sometimes the opinion of the loudest person in a meeting holds sway against all the evidence or multiple versions of ‘The Truth’ deflecting the meeting. There needs to be a balance with hard-earned experience checked against data and analytics checked against gut feel.
Waiting for perfect data before progressing your digital and analytics agenda is a lost opportunity. The data lake may sound appealing as the business tries to get a grip of its data quality, but the reality is despite cheap cloud storage, the effort to map and cleanse all the data is uneconomic. The business rarely uses the data in a meaningful way.
One automotive OEM had a massive data lake but couldn’t unlock the insights into their growing warranty and quality costs, as the data was too unstructured. We added an analytics layer using NLP to common themes in the free text, in multiple languages.
We believe in creating a culture and environment of exploration and experiments; where scenarios can be identified, modelled, tested, reviewed and improved.
The most successful companies are running multiple data led experiments in the background
We’re not hampered by Covid-19 restrictions, scrambling to amend how we work. One of our multi-year projects was delivered without ever physically meeting the client.
We have core teams in our main UK and US offices, but several of our team live and work remotely in South Africa, Hungary, Portugal and even Armenia.
We have built a technical and business knowledge base from working across multiple sectors and covering multiple business problems.
For example, we have drawn on many of our past projects and team’s skills to create an end to end micro-credit and payment solution for developing markets, working with local business partners, plus our data scientists, technology developers, data engineers and business consultants
We are experts in the whole data value chain – we have regularly solved problems for clients, as the last resort, where others had failed or over-engineered the approach.
Some examples; visualising turbine performance, complex travel yield management, identifying complexity in supply chains, pricing tools, forecasting food harvest and predicting maintenance patterns for critical transport infrastructure
We bridge deep consulting and business understanding to quickly establish key objectives and challenges and then align these with strong data & technical skills. Our methodology firstly extracts,integrates & generates insight but then also supports how to implement and operationalise.
Align Alytics Team
Steve Whant
Founding Director & CFO
Roland Mosimann
Founding Director & President
Patrick Mosimann
Founding Director & CEO
Roger Ayers
Director
Nicolas Meyer
Director
Rik Bosman
Correlaction Partner
Cecilia Dahl
Travelytic Partner
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