Innovating to gain a competitive edge is a strategy used by many. Yet, without the right people and skills, innovative ideas, however great, just can’t materialise.
Our professionals can help you define and implement your IT innovation strategy. This includes carrying out market assessments, in-depth studies, and competition analyses. We then identify emerging markets or technical opportunities. Finally, we draw up possible scenarios and identify which conditions need to be met before seizing opportunities. There is a cherry on the cake: not only do we advise you on innovation strategy; we pull resources from our advanced research lab to serve your project.
The combination of all the above is why we make a big difference.
Telecom technologies are changing fast and equipment providers have had to adapt to market demand, new trends, and to the need for a significant competitive advantage.
Solution / Since 2009 we have been issuing yearly strategic transformation guidelines. We have drawn up projects to anticipate changes with a 2-year headstart.
Outcome / Successful products rollout in areas such as: marketing automation systems, network management, and customer experience management.
Our customer wanted to assess the value that Big Data solutions would bring compared to their current data analytics solution. They then needed to identify the best Big Data move.
Solution / We developed a maturity grid and a maturity assessment audit for assessing technology, organisational, and process maturity levels.
Outcome / Customer’s ability to pin-point blocking points and to define their evolution path.
Having grown in volume, variety, and velocity, data have become the best tool to seize business opportunities. The problem is: they have become too large and too complex for processing with traditional means.
Thanks to our sustained efforts in R&D and our strong involvement with pioneer companies, we have developed end-to-end solutions that make it possible for our customers to use Big Data easily.
Our Big Data expertise includes finding and setting up the best solutions in the following areas: infrastructures and related tooling, data auditing, modelling, partitioning, machine learning, algorithms, distributed processing, automation, visualisation, and insights generation. These are tools to help our customers leverage their business.
Transition from the traditional data warehouse to a data lake, to manage Big Data.
Solution / Tailored data models. Distributed storage systems as well as data processing. Predictive analytics and insights generation tools.
Outcome / Flexible and scalable data lake, first use cases implemented on several frameworks. Productisation.
Process 4TB in a few minutes to generate predictive models in marketing, consumer behaviours, and experience. Existing solutions requiring full re-computing.
Solution / Distributed, in-memory platform with a framework equipped with machine-learning ability. Mathematical reformulation of 15 machine learning algorithms.
Outcome / High performance machine learning system integrated into real-time decision system, simulating ROI of large marketing campaigns.
Shorten the time to market of new predictive models. Complex algorithm design and handling. Automate integration and publication of mining jobs.
Solution / Design flexible data Platform-as-a-Service (PaaS) and set automated layers for features selection, algorithm recommendations, deployment, and execution.
Outcome / Shorter time to market and better results thanks to automatic feature selection. Optimised usage of the cluster thanks to the fully automated stack.
Store and mine a subscriber graph of 500 million nodes and 3 billion connections. Existing solutions neither able to store it, nor to provide a processing layer.
Solution / Distributed graph storage and model with tailored NoSQL distributed databases (DB). Modified query layer to implement efficient traversal engine supporting graph queries.
Outcome / Requirements fully met, completed by additional extensible graph and flexible indexing schemes. Productisation.
In the past few years, many companies set up strategic departments aimed at identifying and assessing the technologies that best address their business challenges.
We cross our R&D expertise and our knowledge of the market with a thorough analysis of our customer's business processes and current information technologies. We then identify the path to maximise the return on investment (ROI) of each action.
We assist our customers along the innovation process in selecting projects that maximise ROI.
Selection of technologies that both ease information management and meet the needs of several departments.
Solution / Audit business processes in order to identify the main challenges, so as to achieve the objective.
Outcome / Defined, framed and launched strategic projects across several domains of customers’ organisation.
The customer was under pressure to change their services because of external constraints.
Solution / R&D workshops to help attendees have a better grasp of what new technologies can really do for them.
Outcome / Prioritisation of technological opportunities based on impact.
Ideas needed to be qualified and quantified, while budget was fixed and resources were constrained.
Solution / Financial and operational construction of business cases.
Outcome / Predicted cost and ROI of initiatives.