Data Strategy Solutions

The best data analytics strategies rely on a centralised vision that aligns business units across the organisation.

A comprehensive data strategy provides everyone in the enterprise with a foundation for planning and aligns the business expectations with its data-related capabilities.

Statwolf can help your organisation define its optimal data strategy by assessing your data quality and advising you on the best technologies to reach your business goals.

Key Services

No project is too big. Our team can create bespoke machine learning solutions, from algorithm development to implementation, to tackle the toughest challenges.

data-quality-assessment

Data Quality Assessment

Assess your data, define its reliability and determine its usability for your objectives.

Framework and Technologies

Framework and Technologies

Learn which Big Data framework and data warehouse architectures are best suited to your needs.

Machine Learning and Deep Learning

Machine Learning and Deep Learning

Get the best machine or deep learning solution to  analyse and interpret your unique datasets.

algorithm-scaling-and-deployment

Algorithm Scaling and Deployment

Our team handles roll-out and integration of the machine learning solution so that it's ready for your team from day one.

Key Applications

Statwolf provides several Machine Learning solutions to various business problems. Speaking about data and machine learning, we know that even similar businesses – with similar problems – need tailor-made solutions: there are too many variables involved (e.g. user adoption, third-parties software integration, current IT systems) to rely on off-the-shelf solutions. In Statwolf, we provide not just the technical solution you need, but also the customisation to make it perfect for you.  

predictive-analytics

Predictive Analytics

Extract information from your data and use it to predict trends and behavior patterns.

natural-language-processing

Natural Language Processing

Expert semantic analysis on your unstructured data sources, such as entity recognition, topic modelling and sentiment analysis.

expert-oulier-detection

Event/outlier detection

Our system automatically identifies abnormal events or items in your dataset.

segmentation-clusters

Segmentation clusters

Our team finds the appropriate clustering algorithm and parameter settings to segment your data to reach your goals.

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Case Studies

Statwolf Success Stories

DiaSorin, a global leader in automated diagnostic instruments, used Statwolf’s data science expertise to predict maintenance faults in a cost effect and efficient manner

Objective

DiaSorin is a global leader in fully automated diagnostic instruments. DiaSorin needed to improve support service performed by: Minimising exit on-call to reduce customer’s discomfort; optimising resources, effort and time to improve cost savings; and reducing time-to-fix to speed up service operations.

The Solution

Statwolf zeroed in on faults that are frequent and/or expensive to fix in order to optimise efforts and costs. On the back of this, Statwolf created a predictive maintenance solution with algorithm creation, a feasibility study, and the integration of the solution in the client’s IoT system.

Result

The predictive algorithms Statwolf created were able to predict 30 percent of the total faults. The solution has a false positive rate of < 3 percent, meaning it is highly reliable. Predictions occurred between 5 and 20 days before the fault happened, allowing the client to address potential issues. 

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