“We train our staff in data analytics and AI from basic to expert level, as well as the art and science of management in-house, with our own training courses and instructors ” said Bangert. “Searce hires a significant number of new graduates and develops them into experienced experts within two years, so we can make the data transformation process easier for our clients. »
Operational data in particular is an area that customers need to pay close attention to, as Bangert notes that certain areas of data are locked into systems, processes and tools, which are often separate from each other.
“When we ask customers, ‘What does your data say?’ “The implication is that operational data has a lot to tell them, but they simply aren’t listening to it because of separate data processes that operate in silos,” he said.
Although Searce has been in business for 20 years, it has only been operating in the Australian market for a year.
Bangert noted that some of the key areas it was engaging with its clients were around generative AI (GenAI), reducing costs through automation, data engineering and processing, automation as well as well as the sustainability of commercial processes.
“In return, we generate benefits by increasing yields, eliminating overheads and ensuring production continuity through the efficient capture, storage, processing and use of business data,” he said. -he declares.
Searce’s key verticals include financial services, logistics and supply chain, and global retail, with mining being an additional vertical for the Australia and South Africa region. New Zealand. This is driven by a strong focus on data and analytics, as well as AI consulting and services.
“The supply chain in mining is a key part of the industry. The complex arrangements, from mine to port, personnel roster, ore quality, mine logistics, Asset maintenance, consistent planning and much more can all be improved with data,” Bangert said.
“We often address concerns related to data security, privacy and ethics, while our data, analytics and AI capabilities solve security, productivity, cost control and resource development.
Some of Searce’s key areas of investment were in data fundamentals: data capture, processing and analysis; Insight Generation: Use GenAI to generate insights, explanations and rapid decision support, opportunity analysis and data digitization.
“This requires skills in the different data platforms and tools available in the market today, whether it’s a Snowflake model, Google BigQuery, Claude 3 or Gemini AI,” Kirk added.
“We invest in the skills that use these tools optimally for our clients’ businesses. There’s no point building a digital app for their employees if it depends on a myriad of pipelines and batch uploads every day. Digitization is a journey. “.
