• 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.
• Using this insight, establish the most appropriate channels, offers & contact strategy 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.
Types of Analysis
Our key areas of expertise combine to provide powerful solutions
Targeting – models that predict the probability of a single event happening, such as a product sale to a client or the risk of a transaction being fraudulent.
Forecasting – predicts future values of key elements such as total sales, demand, usage etc., based on currently known information.
Segmentation – identifies the key groups in any data set based on all aspects available, how they relate to each other & how they are changing, as well as highlighting any unusual elements.
Simulation – computer models of real-world processes, facilitating accurate scenario & contingency planning.
Data Mining – finds hidden information in data – trigger events, drivers of activity, conversion paths, underlying concepts etc.
Dashboards – report up to date information relating to the business, including key performance metrics, in summary or real-time
Optimisation – automatic methods of identifying the best solutions to problems, instead of manual experimentation.
Technology and Tools
We use the most appropriate techniques & tools for YOUR problem
Redsella consultants are proficient in a range of tools
We pick the right package based on your requirement, budget, skill set & current environment, such as R, R-Studio & R-Shiny, SAS & Enterprise Miner, IBM SPSS & Modeller, MS Azure, Google BigQuery, Amazon AWS, RapidMiner, QlikView, Power-BI & 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 & dedicated connections to your existing infrastructure.
Typical Projects
The potential applications are endless
We have been generating value for clients across a range of industries for the last 25 years.
We have created substantial returns for our clients. In some cases these have exceeded £1M & performance levels have increased 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.
INSURANCE
RETAIL
• Segment shopping behaviours (basket or annual) to identify customer’s needs & interests.
• Assess which groups provide value, which create cost, which types of customer are being acquired & which lost to competitors.
• Develop strategies based on this insight to address the threats found & exploit the opportunities.
• Identify the most appropriate product recommendations to make & target customers with the most relevant offers to grow the overall value & frequency of their shop with you.
• Use the behaviour & value segments to personalise online content & offers.
• Identify conversion paths & attribute sales fairly across all relevant activities and steps.
• Optimise PPC keyword & display ad portfolios.
• Optimise entire advertising & media mix plans.
• Assess store performance levels & tailor the network to match local shopping needs.Finance & Banking
• Assess loan portfolios by predicting risk of arrears, bad debt & recovery.
• Predict loss ratios & provisioning requirements.
• Forecast likely future business performance levels given current & projected market scenarios.
• Use existing or purpose-built financial models to simulate & 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 & market dynamics are changing. Understand client needs & devise optimal treatment strategies based on the insight gained.
• Target customers for up-sell, cross-sell or retention activity as relevant.
• Identify trigger events & warning signs. Detect & prevent potentially fraudulent behaviour & events.
• Enhance account access security using behavioural traits.MEDIA
• Gain insight into customer viewing patterns & use them to enhance customer satisfaction by supporting relevant offers & 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 & customer satisfaction levels.
• Forecast demand levels & optimise operational planning to ensure service levels are met in the most efficient manner.Telecoms
• Understand client behaviour & device usage patterns & use this insight 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 & enhance account security using behavioural insights.Government
• Prioritise workloads by targeting limited resources to those areas most in need, at highest risk or where the impact will be maximised.
• Understand population behaviours & 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 & assess their likely performance.Utilities
• Understand the different types of usage behaviour in your consumer base & the type of customers concerned.
• Use this insight to understand the cost, value, acquisition & churn hot spots in the business & 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 & acquisition targets, how best to sell to them & optimise your marketing efforts to maximise ROI & achieve business targets for minimum cost.Healthcare
• 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 & enhance operational efficiencies in clinical settings.
• Optimise the use of limited resources, maximise the benefit achieved from fixed capabilities & minimise the impact of cutbacks.NB We work for FREE for non-commercial healthcare clients.
Manufacturing AND Operations
• Simulate production processes, identify bottlenecks, understand & optimise workflows & 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 & delivery routes.
• Maximise efficiency by optimising asset use & 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 & work flow from RFID & ‘Internet of Things’ telemetry, where available.Travel:
• Gain detailed insight into clients travel preferences & behaviours.
• Use the insight gained to tailor packages & offers.
• Forecast likely demand levels & 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 & 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 AND Human Resources
• Target students / staff with appropriate courses & offers to meet their needs.
• Optimise course pricing to balance demand, availability & returns.
• Predict drop-out & success rates to maximise the use of resources.
• Segment student / staff base to understand current mix of capabilities, additional needs and how these are changing, allowing tailoring of recruitment, support & training plans.
• Optimise the scheduling & allocation of resources to maximise performance.TRANSPORT:
• Optimise delivery schedules & 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 & customer satisfaction.
• Provide a fast & efficient method of replanning schedules to address urgent last-minute requests by clients.
• Identify bottlenecks, wastage & potential fraud.
• Segment historical data to better understand the nature of jobs undertaken. Identify any anomalies that may exist, assess where the costs & value are & how the market dynamics are shifting, allowing changes to operational & marketing strategy to be developed to enhance efficiency & address the threats & opportunities facing the business.
• Predict security risk levels tailored to each unique job & optimise their mitigation.
Significant Achievements
25 +
YEARS OF EXPERIENCE
£ 10,000,000
CLIENT REVENUE GROWTH OF OVER
+ 50 %
ACQUISITION RATES UP BY OVER
£ 1,000,000
COST SAVINGS MADE OF OVER
