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Time Series: The future of Data

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Herve Rannou SenX

We talked to Herve Rannou, the CEO of SenX about Leveraging Warp 10 to empower Time Series data and here is what he said about it.

Tell us about you, your career, how you founded SenX.

Herve Rannou: SenX started in 2013 by working on data from sensors embedded in smart textile. Considering the complexity of the technology required to manage data from sensors / IoT, we decided to develop a high tech and performant solution – Warp 10 – to address market needs for any business sector.

Sensors are everywhere. The growth of the global IoT market is expected to be around 20% in the coming years and the business related to data management and analytics should confirm to be the most attractive segment (1).

How does SenX innovate? 

Herve Rannou: Warp 10 is based on the technology of Time Series. It was quite new in 2013. Differently from legacy relational databases, Time Series technologies combine a NoSQL architecture with an organization of data based on the timestamp. 

Today, Time Series technologies (TS) is facing the most important growth in data management and analytics. Warp 10 addresses this market with a solution made of a TS database and a TS analytics engine that is the core of Warp 10 value-added.

Warp 10 database is not only designed to store Time Series but to store and to manage Geo Time Series (GTS) also when the geolocation is available. The Warp 10 database can be implemented on a server, on a cluster, or an edge platform. It is also compatible with cloud architecture like Amazon, Microsoft, Google, OVH.

Warp 10 data analytics engine and the environment is based on a library (WarpLib) of +1000 functions that cover cleansing, synchronization, statistics, pattern detection, anomalies detection … and enables predictive analysis (machine/deep learning, artificial intelligence) in business environments. It is compatible with all majors analytics frameworks and visualization tools.

Warp 10 is distributed under an Open Source licence.

How does the coronavirus pandemic affect your business finance and money?

Herve Rannou: 2020 was a tough period for business due to the impact of the crisis in the industry, particularly in the automotive sector, aeronautics, oil & gas. We have benefited from the financing tools put in place by the government.

The perspectives are better for 2021. That is for example the case in the health sector. We work now with hospitals to manage and to analyze data from medical devices.

Did you have to make difficult choices regarding human resources and what are the lessons learned?

Herve Rannou: Not really. This is quite the opposite. Two new people joined the team recently.

Regarding the impact of the covid-19, what are the business sectors that have been decreasing and/or increasing?

Herve Rannou: Our business in the industry, in general, was impacted in 2020. We still had positive discussions but decisions were delayed. 

Despite the lockdown and curfew at the end of 2020 and since the beginning or 2021, Since the beginning of the year, the business has progressed positively. In particular in sectors like health, energy and Defense. The perspectives in the industry are also better. 

How did your customer relation management evolve? Do you use any specific tools to be efficient?

Herve Rannou: We use an online tool for our CRM. There is no change on that side. But, like most companies, we have adapted our activity thanks to video meetings.

Your final thoughts?

Herve Rannou: Many companies carry out big data (including AI) POCs in order to promote innovation and digital transformation. It is another challenge to face the growth of IoT/sensors and industrialization constraints including development flexibility, performances, scalability, security and governance. Warp 10 aims to address these key issues.

That is the reason why Warp 10 addresses critical challenges for the real rollout of strategic issues of the coming years like Industry 4.0, Predictive Maintenance, Mobility as a Service, Connected cars, Smart Grids, Digital Health, Defense, Cybersecurity… 

Time Series is the future of data.

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