Data-driven decision-making: 5 ways to use data analytics to drive business growth

Are you ready to unlock the secrets of successful B2B marketing and business growth? In this episode of Predictable B2B Success, host Vinay Koshy sits down with the renowned guest, Mark Stouse, an expert in marketing, data science, and collaboration. Prepare to be fascinated and intrigued as Mark takes us on a journey through the annals of history, discussing the contrasting approaches to innovation in 15th-century Italy and Germany.

But this episode isn't just about history. Mark dives deep into the pressing issues facing Chief Data Officers (CDOs) and data science teams in today's rapidly changing business landscape. They discuss the challenges of providing timely and actionable insights, the subordination of data science teams to finance, and the evolving role of technology in decision-making. 

Get ready to discover how Proof, Mark's groundbreaking analytics platform, is revolutionizing how businesses make predictions and optimize their choices to facilitate growth in a business. Learn about the importance of clean, accurate data in lean data applications, the impact of collaboration on problem-solving, and how aligning customer beliefs with data can drive success. 

If you're ready to gain a fresh perspective on business growth and elevate your decision-making with analytics, then this episode is a must-listen. Join us as we unravel the mysteries of marketing, data science, and collaboration in this captivating episode with Mark Stouse.

Some areas we explore in this episode include:

The Historical Study of Innovation in 15th-century Italy and GermanyChallenges faced by CDO communities in providing data insights and analyticsSubordination of data science teams to finance teamsThe Proof platform and its capabilities in providing analytics and regression modelingThe need for better predictions and decision-making in the current era of change and volatilityThe role of Proof as a GPS-like platform for tracking and optimizing choices based on forecasts and real-time dataThe importance of collaboration between analysts and business users in utilizing analyticsThe limitations of traditional marketing mix modeling and the solutions provided by ProofThe shortcomings in forecasting accuracy in B2B companies and the lack of discipline in analytics knowledgeThe speaker's experience in collaborating with data scientists and the importance of perspective in utilizing analytics.And much, much more.