The third reason is that digital na

The third reason is that digital native companies have created radical disruptions, meaning with data, you can change, reinvent, or create entirely new business models, causing massive disruptions to an entire set of industries. The traditional brick and mortar companies are realizing this and becoming very interested in capitalizing on data. This is why we call this new era Data in the New, and this is why we believe that data is more important than software. Every company now aspires to be a data company, which grants them intelligence that leads to new business value. In essence, data is feeding the world. That is, nearly every technology is using data to make itself smarter, and data has the potential to help the world in unimaginable ways. For example, the CEO of Novartis asked a very profound question. What if we can design a new drug from data that is already available? That takes on much more meaning today, doesn't it? Well, what if that is true? There are new companies springing up today, such as Insilico and Berg, with the sole focus of using data to find new therapies. This is what our data practice does for our clients. We help our clients become data driven, intelligent enterprises so they can ask these big questions and, more importantly, be able to answer them. And, of course, we have frameworks, the right tech partnerships, and advice on how best to do it. Yes, the right data platform needs to be in place as well, but it's more about how best to use the data. Reinventing an enterprise isn't as simple as slapping a user friendly digital front end on a database. It needs to happen from the core, from the inside out, not the outside in. This is what we call data driven reinvention. The only way to make businesses more intelligent is data. Data is the only thing that gives you the ability to make your business processes adaptive. People need to be able to read, write, and comprehend data, meaning they need to think about data and use data in every part of the organization. This is what we call data literacy.