DATA SCIENCE SERVICES
Data Analysis, Diagnostics and Cleaning Packages
Full package of services is delivered by our highly-skilled team of data scientists based in London and San Francisco. We receive your secured data, process and analyse it, preparing a full report on your data quality and its potential for processes' automation, customer-centricity, and AI implementation.
Data Strategy and Management Advisory
Our highly-skilled consultants with extensive experience in global organisations can guide you to organise your data, build your data management processes, and help you build a strategic data automation plan for the future.
AI, ML and Analytics Models
We have developed advanced analytics along with AI models that can be licensed to improve your company efficiency in Data Analysis. From analysis to complex self-learning hyper-personalisation models. Get in touch today and let us improve your results.
Tailored Full Projects
We can develop tailored data projects combining our extensive experience in consultancy, data science, analytics, and coding, in order to deliver a full AI-based project tailored for the needs of your company in order to achieve positive outcomes. Get in touch and we will be happy to introduce you to many successful projects developed globally. We are proud to bring our expertise, both in data science and in business, for maximising your performance through your data.
This is an online consultation with our most experienced business data consultants to discuss the goals you wish to achieve with a data project, viabilities, possible gains, required scope of work, and our on-boarding process. Each of our team members has more than 20 years of experience in pioneering data analytics, AI and ML projects globally with several original and patented methods for user profiling, payment security, neural network retraining and solution design concepts, the team members also led several data consultancy projects and the development of predictive models in areas like fraud prevention, risk, AML, payment integrity, churn, customer retention, campaign effectiveness, and customer dissatisfaction for the major banks, insurers, healthcare organisations and retailers in countries like the UK, US, Russia, Italy, India, Brazil, South Africa, Turkey and others.
Our project delivery methodology is based on the industry widely recognised approach of Unified Process with Quick-Wins. This methodology, in addition to the profound knowledge of our experienced team, leverages sets of core disciplines across all project types. It provides flexibility to leverage iterations where partial solutions can be constructed and tested for specifically addressing significant risks, if necessary, and generates quick results for our clients.
A data strategy needs to define a process that generates ongoing review, iteration, and development. It is a living and adaptive process. However, all data strategies begin with identifying the organisational needs and business requirements.
ATA SCIENCE ANALYTICAL SERVICES
Discover the P&L behind your data: the possibilities are endless
Current situation and trends
Banks and financial institutions from all around the world are in competition to offer better and more personalised services to their clients. For doing so, considerable budgets are allocated to create business intelligence areas, while investing in teams and technologies. Historical data is vastly used to create valuable insights and business views; however, the commonly used methods create a static, one-dimensional vision of the company and of the customer needs. In addition, companies’ reports are often of a great volume, full of details and hard to distill from, by the time-deprived executives, who are responsible to satisfy continuously rising customer demands and expectations. Digital transformation is the main current trend which brings an opportunity to organisations to enhance their efficiency and to stay relevant in a highly competitive environment with modern digital newcomers.
Financial institutions hold significant amounts of information and many organisations struggle to come up with efficient ways to monetise the abundance of data, to identify leakages and detect new financial opportunities behind the data, quickly introduce initiatives in order to convert data into money in an efficient way. The goal is to understand what actions should be introduced to create real value for a customer, in which sequence those actions should be executed, and to evaluate with accuracy the opportunity costs vs costs of execution. Data becomes valuable only when it leads to valuable actions. Actions need to be driven by relevant insights based on in-depth data analysis. This is when data can be transformed into money. However, for many companies, the journey of data-to-value transformation can be expensive and unnecessary long. Moreover, commonly used analytical initiatives, such as acquiring B.I. software or hiring additional data analysts, are costly but do not guarantee a clear understanding of what the hidden opportunities are, of how to create and maximise financial benefits from existing data.
Advantages of solving the problem
Understanding the needs of organisations driven by in-depth analysis of the customer data can significantly improve the business performance with the lowest associated costs. The accurate estimation of the costs for the execution versus lost opportunity allows making timely decisions while significantly improving the P&L sheet. It also allows creating a long-term roadmap of initiatives that impact businesses positively along with the short-term quick decision to stop doing some actions and start doing others, moving along long-term directions. Defining long-term strategy, foreseeing upcoming trends combined with the execution of the identified short-term tasks, is key to prove the advantages of investing smartly in data analysis to generate consistent business results.
What we propose
London Analytics developed a methodology to process and analyse anonymised data of clients, predict upcoming trends, facilitate and optimise the decision-making process, and execute strategies along the organisation’s teams related to the data analysis findings. We bring our services in data processing, analysing, advising, outlining insights, integrating the products to generate the desired results for the client. With the right approach and defined sequence of actions, a significant amount of budget could be saved to achieve even better financial performance.
How we do it
Our experienced team in the financial market field contains developers, data scientists, architects and business consultants able to analyse data and understand the outcomes, connect them to business activity, and create a plan of immediate actions as a recommendation. Our methodologies are designed to work in small short cycles of assessment and tests for quick adaptation, followed by prioritisation of actions, technical execution, and promptly demonstrating consistent results. With that, our clients can control budgets, boost their performance and use all opportunities to identify and automate actions, which can lead to better financial outcomes, lower costs and increase in customer satisfaction.
Why us: how we are unique
Our methodology is proven. We delivered significant results to our clients by listening to their needs along with looking at their data. Products, partnerships, projections, investments and initiatives that we proposed and executed based on data information helped several companies to have a significant financial advantage based on our services in a very short period and perpetuate their gains. Our team is experienced and focused on financial institutions: banks, payment platforms, hedge funds, various types of fintech companies etc. in possession of transactional data. Our comprehensive technological solutions help industry-leading companies and individuals achieve greater success. Our platform has a wide range of features that were created with an aim to help you live differently. In order to empower our users to do better, we continue building upon our technology.
Data science training
On top of the advisory services, we can offer complete training in data, analytics, decision-making process, data quality, data management, data science office creation, and data compliance, on-site or remote, as a way to transfer knowledge to our client's teams.