Algospark


An innovation space for applied data science and rapid prototype development.



Algospark
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What

Algospark is an innovation space for applied data science and rapid prototype development. We work with clients to uncover insights, quantify value and fast track the development and delivery of new ideas.

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Why

New service ideas or process change projects can be expensive, complex and involve long time frames. Our innovation space fast tracks design while minimising wider organisational dependencies. That means you save significant time and money.

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How

We begin from a user centric perspective, use a data driven design approach and then develop prototypes using a business agile process. We combine the best elements of service design, pragmatic data science and financial evaluation.







Approach

Algospark projects span a wide range of challenges and use cases across various industries. Our prototypes cover a mix of techniques that include forecasting, recommending, prioritising, anomaly detection, matching, clustering and allocating. We use these prototypes to fast track delivery of new service offerings and increase process efficiency. Quantification and maximizing value are always at the heart of our solutions.

  • Scoping Phase - Analysis and insight with preliminary value quantification
  • Design Phase - Applied insight, prototype build, business case and project plan
  • Delivery Phase - Partner with delivery specialists for project roll out and full value realisation


Solution Components

Our solutions are designed with leading data science applications, prototyping platforms and cloud based web frameworks to ensure easy transition from prototype to full scale solutions.


Microsoft logo Azure logo Python logo R logo Django logo MML logo MML logo MML logo Theano logo H2O logo Plotly logo Cloudera logo Google Charts logo D3 logo Tensor Flow logo

Partners

We are a collective of partners with skills that span data science, customer experience, service design, finance and technology.

Algospark is led by Darren Wilkinson who has over 15 years experience leading and managing service innovation and analytics projects across numerous industries. Darren's expertise includes strategy, data science, corporate finance, programme management and technology.

We use Algospark as a innovation space to explore and fast track new ideas.







Clients

Organisations we have worked with:

Social Kemistri Aqovia London Borough of Merton Pearson Ford JLR Gail's

Projects


Asssess

Assessment Profiler

A classification and feedback tool to streamline adult social care needs assessments. Ensures consistent needs classification, ongoing wellbeing feedback and predictions of future needs. Target 40% process time savings, and cost savings from reducing future hospital visits.

CX Profiler

CX Profiler

A customer experience profiling engine for designing experiences based on user preferences and personality types. Expected sales conversion rate increase of 5-10%.

ABC

Word Predictor

A word prediction tool trained on tweets, blogs and news articles. Built as a foundation for Natural Language Processing (NLP) projects such as document classification and automated responses.

Care Package Allocator

Care Package Allocator

A prototype care supplier selection algorithm for care commissioners. Ensures suppliers are prioritized and selected faster to reduce care brokerage requirements. Expected savings of 25% brokerage time.

Product Profiler

Product Investment Profiler

A product portfolio dashboard to align product investment decisions across multiple projects, businesses and geographies. Target 25% reduction in analyst time and faster project approval processes.

New Store Demand

New Store Demand Inference

Cluster analysis tool to determine new store demand patterns using information from across a retail network. Target better store portfolio alignment, reduction in forecast error and 5%+ operational savings.

Demand Forecasting Tool

Demand Forecasting Tool

A machine learning solution using open data sets and forecast model feature engineering to reduce demand forecast error by 15-30%.

Build My Round

Build My Round

A scheduling and team resource optimisation tool for private tutoring, home care delivery and other time slot based services delivered to homes. Target 10% efficiency savings.

Customer Service AI

Customer Service AI

Use of artificial intelligence to recommend actions to customer service specialists. Target 20% increase in response productivity. Can be integrated with service "bot" strategy.

New Product Demand Inference

New Product Demand Inference

Market basket and cluster analysis tool to determine new product demand and impact on existing products. Target 10-30% reduction in forecast error and pull through efficiency savings.

Yellow Arrows

Yellow Arrows

Machine learning algorithms to predict opportunities and challenges across business operations. Focused on process metrics and supply chain dependencies to highlight opportunities and performance challenges.

Device Mix

Algorithmic Trading

Advisory, development and backtesting of automated US equities strategies using Quantopian Python environment.