Predictability of your business and activities is a core competitive advantage in today's fast-moving world. Data analytics has become the most powerful lever to better address business challenges and opportunities. However, information availability, information processing, and insight generation are hurdles that may prevent your company from acquiring this advantage.
Our experts can help you build data-driven solutions and integrate these to your operational architecture. We can also audit your existing data and we can process them using algorithms and machine learning techniques. This will allow you to go beyond traditional business intelligence, to support up-selling and cross-selling, and to feed your business with real-time predictive analysis.
Mass information available but need for data scientists to make better use of it.
Solution / Benchmarking data-driven solutions. Collecting data into datasets, and predictive models.
Outcome / Product recommendation engine, prediction of purchase type and frequency, and volume of client types over time.
Machine learning algorithms optimised to run on 1 machine only had become too slow for Big Data.
Solution / Redesign and development of algorithms on distributed high-performance infrastructure.
Outcome / Speedier processing with maximum accuracy.
Unsatisfactory accuracy of predictions.
Solution / Use of feature engineering, deep learning, and efficient algorithms for very large datasets.
Outcome / Simplification of feature engineering, higher accuracy in churn prediction.
Head of marketing wanted to predict future clients and react more quickly to clients’ needs.
Solution / Combined historical, real-time, and contextual data. Pattern-matching correlation engine. Machine learning on data streams. Insights into customers’ interactions.
Outcome / Better customer experience. Better responsiveness, relevance and predictability.
The amount of information available to drive companies and manage businesses is now so large that its processing often has to be rethought. In this context, data visualisation becomes the asset that makes a big difference.
We support your Business Intelligence (BI) specialists, managers, and data scientists by providing them with leveraged libraries, data exploration means, visual analytics, charts, correlation matrixes, simplified monitoring, and optimal use of resources.
Dataset has become too large, existing solutions have become too slow.
Solution / Incremental processing of very large datasets. Results monitoring at user-defined steps of the data model.
Outcome / Animated exploration of results, correlations, with drill-down possibilities.
Skills for monitoring raw analytics were scarce.
Solution / Ergonomy-driven graphical reports and leveraged libraries.
Outcome / User-defined generation of charts, e.g. scatter plots, bar charts, histograms, geographic maps over time.
Big players’ standard solutions were not customisable and had integration constraints.
Solution / Tailored visualisation features, fully integrated with customer’s tools.
Outcome / Scalable solution with optimal feeding of results to connected user interfaces.
The volume of data, the amount of sources, and the diversity of types of data are growing. Data tends to be processed in real time in order to allow fast decision-making. As a result, selecting data storage solutions has become more critical than ever for IT departments.
Well aware that there is no « one-fits-all » solution, we can provide expert services for assessing, proposing, implementing, and supporting your data storage systems.
Current data storage solution not fitting with graph data. Need to benchmark and select the most relevant NoSQL solution.
Solution / Assessment of users’ needs and technical constraints. Identification of best scenarios and design of the related target architecture.
Outcome / Fast and sound decision making, considering internal and external criteria: cost versus value, maintenance, upgradability, scalability, and governance.
Need to modify storage solution to enable processing of real-time graph queries.
Solution / Proposal, design, testing, and integration of APIs.
Outcome / Graph queries made available, allowing usage of graph DB in NoSQL. Storage and querying capabilities for graph data structure.
Increase value from data relations by transforming flat data into graph.
Solution / Setup of efficient distributed storage and indexing of graph data, using high performance and high availability NoSQL solution.
Outcome / In-depth knowledge transfer to the customer, who made products based on the prototype we delivered.