Making financial trends and news data directly relevant to internal stakeholders.

Two projects that translate data into value

The Wholesale & Rural Data Analytics department works from an in-house developed global data platform that is deployed across the organisation. Jordi: “Not all data sources are automatically where they need to be. We want data to be available in the right places and deliver value.” Rabobank engaged Blenddata for two projects.

Relevant news in the right place

Several internal stakeholders want to stay up to date with news available through different media. “News data from newspapers, for example, we buy globally. Our challenge is how to get that news shared with people linked to our customers. Say you are a relationship manager of Heineken. Then you don’t want to get a thousand news stories thrown at you daily, that’s not manageable. Using AI, the news is now categorised and tuned so that our relationship managers receive relevant news. Blenddata has also helped think through a targeting architecture to eventually give the analyses on the news articles a place on our global data platform, so that we reuse our analyses wherever possible.”

Extracting trends from business data with AI

“Through external parties and from our customers themselves, we get financial data on the companies we serve as Rabobank globally, think annual figures and ratings. We also want to make that data available to our relationship managers and other internal stakeholders. By using AI, they now get proactive signals from the market, for instance about certain trends that customers might need to address. We store this prescricptive data so that it can be reused via our own data platform.”

Application of innovations

Blenddata looks for ways to apply the latest coding innovations directly to client projects. “Blenddata has brought us to take another critical look at our tech stack and where necessary initiate innovation on it. In this way, we became even more familiar with the capabilities we already had in place but could deploy even better.”

Data quality and security

“During the collaboration, Blenddata has improved the quality and architecture of our data. What they have built meets the strict compliance and security requirements of our global platform.”

Getting more out of the existing platform

“The trick is to reuse strategic components, these data building blocks land on our global platform, an infrastructure we built ourselves. Everything running on it has to be compliant and secure. Because Blenddata has thought through how best to use our infrastructure, we are achieving optimal performance levels in these two projects.”

Stepping off the beaten track

“As a bank, it is quite special that we work with such a niche party as Blenddata, because we usually fall back on the big consulting companies. Fortunately, I don’t always have to go off the beaten track if there is a better solution. You want difference makers and we found them at Blenddata. The collaboration falls back on the personal click with engineers Lars and Ward.”

Transferable and reusable

“We are now further along as a team. Blenddata has written documentation so that everything is transferable and reusable. The transformation of that data is woven into the code.

Results of collaboration

• Improvement of existing code and solid & compliant new code.
• Critical look at current processes and future-proof architecture.
• Positive difference makers in the team with attention to technology and the human side of our work.