Data Reply is the Reply group company offering a broad range of
analytics and data processing services. We operate across different industries and business functions, working directly with executive level professionals, enabling them to achieve meaningful outcomes through effective use of data.
We find that one of the biggest problems experienced by our clients today is being overwhelmed with the amount of data that they face and not knowing how to leverage it to their advantage. The vast landscape of available technology stacks and models means that choosing the right ones can be a daunting task. Most companies know that their data is valuable, and that they should be making the most out of it to stay competitive, but often don’t know where to begin or what to prioritise.
At Data Reply, we pride ourselves on helping clients make the right decisions to build their data strategy. With our consultants expertise, we map the right technologies to meet our clients’ business needs. We deal in bespoke solutions, and offer in house training to ensure that our clients realise the full value of their big data solution.
Analyse product data feeds to optimize product performance (both in terms of sales and replenishment) during the whole life-cycle. #ProductRecommender, #SalesForecasting, #PricingOptimization, #StockOptimization
Analyse customer behaviour to have useful insights that can both drive key business decision and predict customer preferences to adopt a one-to one approach. #Churn Prediction, #CustomerLifetimeValue, #CustomerSegmentation, #ContentPersonalization
Identify real time anomalies that lead to potential threats or frauds through geo data and video analysis.Automatically identify anomalous usage of machines to reduce costs via log analysis and test automation.#LoginAlerting, #FraudDetection, #VideoSecurity, #MachineAutomation
Improve internal process efficiency by analyzing unstructured data, using OCR and Deep Learning algorithms for images, NLP techniques for text.Automate part of these processes to optimize internal resources#ProductRecommender, #SalesForecasting, #PricingOptimization, #StockOptimization
Collect and analyse huge amount of data to produce insights that can increase the quality, the safety and the efficiency of connected-products.#PredictiveMaintenance, #AnomaliesDetection, #ProactiveMonitoring #PathOptimization
Enhance the production line by means of predictive and analytics and machine learning algorithms, to identify potential failure points, monitor the products quality and optimise the composition and the selection of the workforce.#RootCauseAnalysis, #ImageAnalysis, #PerformanceAnalysis
Our education programs enable the skills necessary to analyse data. We provide custom workshops and training in Data Science and Deep Learning for our clients. Our trainers are certified to train in Data Incubator format.
#TDI, #Training, #DataScience, #DeepLearning
The adoption of a Cloud solution enables a scalable Big Data platform to collect and centralize all the data, build and train machine learning algorithm on top of them, and develop application to make use of them.#LiftAndShift, #CloudComputing, #BigDataLakes
Data Governance enables control & compliance to the data used in an enterprise. In particular, it manages availability, usability, integrity and security of data.#DataMasking #DataAnonimization #DataQuality #DataCatalogs #DataDiscovery #AbInitio
The use of hardware with massive parallelization capabilities as Graphics Processing Units (GPUs) and Tensor Processing units (TPUs) enables an engine with high computational performances. It also facilitates process-intensive operations such as deep learning as well as boosts machine learning algorithms by using “quantum inspired approaches” such as the QUBO formulation.#QuantumComputing, #GPU, #TPU
Reply takes part in the AI Summit 2019 event on 12-13 June 2019 in London. See practical ways of how businesses can take advantage of AI.
Data Reply attended the festival of AI and emerging technology at CogX London 2019 where over 500 industry, government and academic experts cover AI's most important topic areas.