Trendlines: Intelligence meets design
1+1 = 3 when you unleash data science across your organization.
DOWNLOADThe future-ready enterprise is curious, explores and iterates – and to do so, uses intelligence from data science as a business asset throughout the organization.
In this age of algorithms, organizations can no longer treat data science as just a technical practice; rather, it’s an organizational capability. Accordingly, leading companies are breaking down silos to unleash multidisciplinary teams whose members work together as creative problem solvers, leveraging emerging technologies including the latest advances in data science. MIT Center for Information Systems Research (CISR) finds that companies that take these kinds of approaches can boost margins 16 percentage points above industry averages. It’s this type of diverse teaming that can unleash an organization’s full potential.
How can you bring design and data science together to drive your business transformation? “Intelligence meets design” is the latest in the Avanade Trendlines series on emerging trends that impact the design, innovation and technology choices of large organizations.
1+1 = 3 when you unleash data science across your organization.
Emerging trends that will impact the design, innovation and technology choices of large organizations.
Infusing intelligence across your organization is key.
Here are some specific steps you can take now to elevate data science and design across your company:
Explore the concept of data wrapping. Working with data science and designers, product managers add data-rich features and experiences to their products or services as a way to use data to build different kinds of products and employee applications.
Form interdisciplinary teams with members from design, data and business development. Ask them to consider employee tools as well as customer products as they look across the enterprise for opportunities to improve the business. These teams are well-positioned to identify and address the roadblocks to employee empowerment. As data science tools become easier to use, look for your design and business people to start acting more like data scientists themselves.
Foster greater creativity and exploration across all business functions. Immerse your data scientists in design thinking to expose a different approach to solving problems. Take a leap of faith and trust employees will rise to the challenge even if their approaches differ from your expectations.