- Forecasting - predicts future values of key elements such as total sales, demand, usage etc., based on currently known information.
- Propensity Modelling - predicts the probability of a single event happening, such as a product sale to a client or a transaction being fraudulent.
- Segmentation - identifies the key groups in any data set, how they relate to each other & how they are changing, as well as highlighting any unusual elements.
- Data Mining - finds hidden information in data - trigger events, drivers of activity, conversion paths, underlying concepts etc.
- Online Personalisation - real-time reaction to user profiles, actions & responses to tailor their experience in terms of content, offers, recommendations etc.
- Simulation - computer models of real world processes, facilitating accurate scenario & contingency planning.
- Optimisation - automatic methods of identifying the best solutions to problems, instead of manual experimentation.
Redsella consultants are proficient in a range of tools - we pick the right package for the job based on your requirement, budget, skill set & current environment, such as R, R-Studio & R-Excel, SAS & Enterprise Miner, IBM SPSS & Modeller, MS Azure, Google BigQuery, Amazon AWS, RapidMiner, QlikView, Weka, Evolver and many more. Solutions can be provided in these packages or a bespoke system can be developed which combines relevant tool sets with a task-specific user interface and dedicated connections to your existing infrastructure.
Redsella consultants have been generating value for clients across a range of industries for the last 25 years, creating substantial returns which in some cases have exceeded £1M and increasing performance levels in a similar manner, often by 100% or more. Specific case studies can be provided on request, but the following gives an idea of the way that advanced data analytics can help in different types of market. Contact us to discuss how your business or organisation could start to benefit.
Identify which prospects are most likely to buy & which existing customers are most likely to churn. Assess their likely level of future claims & potential for fraud. Evaluate their probable customer journey & life-time value. Use the most appropriate channels, offers & contact strategy given this insight, in order to maximise returns and minimise costs. Optimise pricing for risk and return, augmented by behavioural insight from 'Internet of Things' telemetry data where possible. Streamline fraud detection processes to minimise losses, again using behaviour where possible. Grow revenue by targeting customers with 'next best' up-sell and cross-sell offers. Quickly identify changes in competitor activity by spotting anomalies in market behaviour.
Segment shopping behaviours (basket or annual) to identify customer's needs and interests. Assess which groups provide value, which create cost, which types of customer are being acquired and which lost to competitors. Develop strategies based on this insight to address the threats found and exploit the opportunities. Identify the most appropriate product recommendations to make and target customers with the most relevant offers to grow the overall value and frequency of their shop with you. Use the behaviour & value segments to personalise online content and offers. Identify conversion paths and attribute sales fairly across all relevant activities and steps. Optimise PPC keyword and display ad portfolios. Optimise entire advertising & media mix plans. Assess store performance levels and tailor the network to match local shopping needs.
Finance & Banking
Assess loan portfolios by predicting risk of arrears, bad debt & recovery. Predict loss ratios and provisioning requirements. Forecast likely future business performance levels given current & projected market scenarios. Use existing or purpose-built financial models to simulate and optimise planning cycles, maximising ROI from limited resources whilst achieving multiple conflicting targets. Identify key client behaviour patterns & transactional activity across a range of retail financial products. Assess the value, cost & risk implications of each. See how client and market dynamics are changing. Understand client needs and devise optimal treatment strategies based on the insight gained. Target customers for up-sell, cross-sell or retention activity as relevant. Identify trigger events and warning signs. Detect & prevent potentially fraudulent behaviour & events. Enhance account access security using behavioural traits.
Gain insight into customer viewing patterns & use them to enhance customer satisfaction by supporting relevant offers and content recommendations. Target 'at risk' subscribers with appropriate & timely retention activity. Devise targeted marketing plans for acquisition, up-sell and cross-sell activities, optimised automatically to maximise returns. Drive pay wall sign up & tailor online content to meet individual client needs. Identify the most appropriate new content to meet the needs of the customer base. Optimise the pricing of content to maximise returns whilst meeting target subscription and customer satisfaction levels. Forecast demand levels & optimise operational planning to ensure service levels are met in the most efficient manner.
Understand client behaviour and device usage patterns and use to feed pro-active retention, up-sell & cross-sell activities, as well as the design of suitable tariffs. Optimise the allocation of offers, replacement devices, subsidies etc. to maximise their impact. Use the behavioural insight gained to devise new 'value-add' services & offers, enhancing customer satisfaction. Identify fraudulent or other potentially criminal activity and enhance account security using behavioural insights.
Prioritise work loads by targeting limited resources to those areas most in need, at highest risk or the where the impact will be maximised. Understand population behaviours and how they are changing, allowing more efficient provision of services. Identify potentially fraudulent activities & information. Forecast future demand to aid planning cycles. Optimise the allocation of resources to meet targets in the most efficient manner possible. Minimise the impact of funding cuts. Increase the accuracy of risk assessments. Develop optimum contingency plans and assess their likely performance.
Understand the different types of usage behaviour in your consumer base and the type of customers concerned. Use this insight to understand the cost, value, acquisition & churn hot spots in the business and how best to address the needs of each segment identified. Forecast future demand & understand its drivers. Predict the effects of smart metering roll out and prioritise customer groups needing assistance. Understand the impact of tariff changes on both your client base and the business. Optimise tariff changes to achieve your goals and responsibilities to more vulnerable sectors. Predict customers at risk of churn in time to take action to retain them, especially prior to fixed term deal expiry. Identify cross-sell and acquisition targets, how best to sell to them and optimise your marketing efforts to maximise ROI and achieve business targets for minimum cost.
Enhance the planning, efficiency, execution & results analysis of medical research & clinical trials. Identify common traits, progression paths, time-dependent links & spot anomalies more easily in case history data. Aid diagnostic procedures, provide early warnings and enhance operational efficiencies in clinical settings. Optimise the use of limited resources, maximise the benefit achieved from fixed capabilities and minimise the impact of cutbacks. NB We work FREE for non-commercial healthcare clients.
Manufacturing & Operations
Simulate production processes, identify bottlenecks, understand and optimise workflows and schedules automatically to maximise operational performance & efficiency. React quickly to production line failures, late order changes etc. Predict failure rates on products, components, machinery & fleets and identify possible causes. Perform preventative maintenance in time to avoid costly shut downs. Optimise delivery schedules and delivery routes. Maximise efficiency by optimising asset use and stock control to meet forecast demand or planned schedules in the most cost effective manner, minimising the amount of capital tied up internally. Identify unusual stock variations, transport or warehousing activity, thus helping to combat fraud or theft. Utilise new sources of data on items and work flow from RFID and 'Internet of Things' telemetry, where available.
Gain detailed insight into clients travel preferences and behaviours. Use the insight gained to tailor packages and offers. Forecast likely demand levels and optimise advance purchasing from suppliers to meet demand in the most efficient manner possible. Optimise travel & package pricing to meet current & future demand given time-to-travel and availability. Forecast no show rates to allow maximum utilisation of resources. Optimise contact marketing strategy to maximise returns & up-sell / cross-sell opportunities. Identify potential fraud, from suppliers as well as clients, including fake reviews.
Education & Human Resources
Target potential students with appropriate courses and offers. Optimise pricing to balance demand, availability & returns. Predict no-show rates to maximise the use of resources. Segment candidate behaviour to identify different needs or potential, allowing tailoring of offers, message content or training plans. Predict drop out & success rates at both course and student level, allowing recommendations to be made to aid student decision making or to drive candidate selection, maximising the potential of both the individual & the institution. Optimise the scheduling and allocation of of resources to maximise performance.
Optimise delivery schedules and routes to minimise costs or response times, maximise returns or throughput etc., whilst achieving all other targets & constraints set by the business. Predict failure rates to ensure maximum fleet utilisation through the use of preventative maintenance. Minimise wasted journeys by optimising the positioning and allocation of resources, Maximise operational efficiency and customer satisfaction. Provide a fast & efficient method of replanning schedules to address urgent last-minute requests by clients. Identify bottlenecks, wastage and potential fraud. Segment historical data to better understand the nature of jobs undertaken, spot any anomalies that may exist, see where the costs and value are and how the market dynamics are changing, thus allowing changes to operational and marketing strategy to be developed to enhance efficiency and address the threats and opportunities facing the business. Predict security risk levels tailored to each unique job & optimise their mitigation.