Target connectivity first, then 4IR ambition - Vodacom

Africa's 4IR

Vodacom exec stresses
need for connectivity.

Wednesday, Nov 20th

Cameroonian start-up looks to establish data analysis centre

Cameroonian start-up looks to establish data analysis centre

Cameroonian start-up Philjohn Technologies, which specialises in data management, plans to open Central Africa's first BI analysis and big data centre and is looking to source FCFA 460-million in capital from potential investors.

The company recently announced the sale of 2,000 shares; 20% of its capital, to new investors.

Marthe Kelick, Communication Assistant at Philjohn Technologies, said a share sells at FCFA-230,000 and is projected to increase in by as much as ten times its current value in the next five years.

Kelick told ITWeb Africa the long-term objective is to raise FCFA 9.8-billion in capital by 2022.

To date Philjohn Technologies has secured FCFA 39.6-million following the purchase of its shares by 15 investors.

Philippe Nkouaya, Founder and chief executive officer of Philjohn Technologies said they are opening the centre to boost the professional development of enterprises and promote youth employment.

The new centre will bring together over 30 data scientists and BI researchers, with the aim to train over 500 young people each year. Learners can pursue certification from various vendors including Microsoft, Odoo, QlikView and Oracle, amongst others.

Philjohn Technologies recently signed training partnerships with the Higher Institute of Management in Douala and with Ngueti Solutions.

Nkouaya added that the company conducted a market study to evaluate discrepancies between the status of company accounts in real time and the reports received by managers.

Research showed that 80% of African countries do not have a decision-making information system.

"We decided to go into the field of Business Intelligence and big data to allow managers to make the right decision at the right time with the right information, because the consequences and risks became more and more important depending on the nature of the data."


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