Case Study
How a green energy startup used our architecture service to raise capital
We unlock business potential by creating data architectures that takes your startup to the next growth phase.
For over 20 years, we’ve been igniting growth across more than 5 countries with some of the world’s most ambitious companies.
Our big data consulting team leverages modern cloud technologies, including AWS, Microsoft Azure, Google GCP, and Snowflake to design data lake and warehousing solutions.
London Analytics specialises in designing bespoke AI solutions for startups. We have the brightest minds in AI and data science to apply proven best practice to maximise the success of AI projects.
We are a pool of over 20 highly experienced data consultants. London Analytics provides access to these experts on a project basis. All consultants have decades of experience in growing startups.
Our BI consultants will plan out intelligent strategies and solutions. Our architecture report will contain a BI solution, tailored to your needs, to ensure your project is a complete success.
A typical engagement lasts for two weeks. We will fix a time and cost with you before we start and deliver a detailed design document for you to keep and use for the next phase of your startup journey.
Our fully-qualified, expert data consultants are hand-picked with experience running and growing startups, which means we are the best consultancy to plan and design a solution for you.
We are a specialist data and analytics platform design consultancy. We focus on data management, advanced analytics, reporting and data visualisation. Our services span strategic planning, design, and hiring advice.
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We speak to stakeholders to identify requirements and understand the vision
Consultants design a staged architecture for the new data & analytics platform that can be built up in stages
We deliver an indepth report that describes the architecture and everything you will need to know to implement the design
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As technology keeps evolving and bringing changes into the world of big data and A.I.
“Big” data is getting smaller and faster. Data leaders need to adjust to the new paradigm.
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