Data is stupid; using it is clever

The rise of big data opens up new possibilities. By investing in the future and exploring use cases together with customers in many industries, Basefarm creates market leaders.

Use cases for big data projects are everywhere. Take, for instance, predictive maintenance in the offshore industry (e.g. wind turbine maintenance) and the merits of the 360-degree customer view in the hospitality industry. But to flourish in this rapidly evolving world, it’s increasingly important to be agile and flexible. Many of Basefarm’s customers face the challenge of mixing and matching agile ways of working (such as DevOps environments) with traditional processes and infrastructures, resulting in a hybrid delivery model and a hybrid business.

“With this in mind, areas such as security, IoT and big data need extra focus,” says Stefan Månsby, Senior Director of Product Management & Big Data at Basefarm. “With our security division, we deliver 24/7 security services. And now we are also helping many of our customers to understand that very often, they have a golden opportunity to apply their domain expertise to their existing wealth of unexplored data.”

Data is the new oil

Businesses themselves are also becoming more data-driven. Companies are becoming more “hybrid” from a technical point of view, mixing and matching traditional and modern IT infrastructures. By making all their data available in one large pool, they embrace a new way of decision-making where companies rely on data science. Often, this opens up new possibilities for non-linear growth, leading to companies crossing the traditional boundaries between industries. A well-known example of this is Tesla. In their mission is to accelerate the world’s transition to sustainable energy, they build solar panels, batteries and electric cars.

A comparison to Tesla doesn’t do much justice to most companies. But this doesn’t mean they shouldn’t embrace big data. The most typical big data use cases show up in manufacturing, service and maintenance. The potential benefits of predictive maintenance, for example, are huge. By collecting and analyzing data from machine parts, it becomes possible to predict failure and to schedule maintenance. One Basefarm customer performs maintenance on wind farms in the Baltic Sea. With only a few ships available that can hoist ball bearings into wind turbines, they save millions of euros every year by letting AI calculate the optimal shipping routes.

You have the data; now use it

There are numerous examples of big data use cases. Månsby: “At Basefarm, we organize workshops with our customers which generate hundreds of ideas and scenarios.”

The next step is often to design a Proof of Concept (PoC) to present to the company’s board.

“Basically, we can go from whiteboard to a working first PoC in 8 to 12 weeks,” Månsby says. “The size of the company doesn’t matter. Whether you are BMW or a small enterprise, it doesn’t make any difference. If your company has a top-heavy culture, for instance, and data science seems a bit too ‘Star Trekky’ for the CXO’s, we sometimes give the CXO access to a small subset of data to play around with on a Notebook. So they get a feel for the possibilities and start to understand that this technology isn’t black magic or an experimental lab product. It’s very real, it’s now and helps you achieve big goals like major improvements in efficiency, becoming more sustainable and finding new revenue streams.”

About Stefan Månsby

Stefan Månsby is Senior Director of Product Management & Big Data at Basefarm. He has a broad experience in the IT industry and has driven change in many organizations throughout the years. His main passion is digital innovation and he is a great photographer and music producer.