14/03/2025
🛡️ Cyber Security Case Study with :
Gijima, a leading ICT company, was handling massive amounts of data drawn from multiple platforms daily and was looking for a more efficient way to manage and analyse the information. They had a manual-intensive reporting process that was time-consuming and limited their ability to gain real-time insights for faster, data-driven decision-making.
There were several issues they needed a solution for:
⚠️ The manual data extraction process – It was slow and time-consuming as the data had to be exported into Excel charts and then PowerPoint slides. This left little time for actual insights and analysis of the data.
⚠️ The inability to gain and use real-time data – Reports were usually only generated monthly, with some weekly, creating a delay in data analysis, preventing them from making decisions in real time.
⚠️ Their data was fragmented – Because the data came from different systems, it was difficult to get a single unified, real-time view.
“Consolidating data from different tool sets manually is a tedious task. OQLIS has helped us automatically consolidate data from multiple tool sets and produce data of value for our customers in real time. This helped us improve our operational efficiency, decision-making, and, most importantly, the customer experience.”
- Selvan Govender, Head of Cyber Security, Gijima
By working with OQLIS. The Data Insights People, Gijima transformed its reporting and data management processes, leading to significant improvements in efficiency and decision-making. They have already onboarded 13 of their cyber security customers and are currently running 720 integrations daily across their client base, reporting and processing around 50 million rows of data. In this case study, read how they obtained these massive goals:
https://www.oqlis.com/from-spreadsheets-to-smarter-cyber-security-solutions-in-real-time-soc-case-study-oqlis-data-analytics/
Gijima is a leading South African ICT company specialising in cyber security solutions. They handle massive amounts of SOC data drawn from multiple platforms daily and have used OQLIS for a more efficient way to manage and analyse the information.
