How Thinking Differently Increases Profitability - President of IRI, Nishat Mehta

<p>What if the key to increasing your profitability was as simple as changing the way you think?</p><p>As a leader, you have the power to shape the future of your business. By thinking differently, you can utilize innovative approaches to increase your profitability. breaking away from traditional strategies, you can open up a world of possibilities and uncover new opportunities to increase your profitability.</p><p>Thinking too narrowly reduces your options, stunts creativity, and threatens long-term growth.&nbsp;</p><p>With this in mind, it’s vital that leaders consider the opportunities because profitability is always related to the leader's job. </p><p>I host President, Global Products and Solutions at IRI, Nishat Mehta, who shares an innovative way for leaders to improve revenue and profitability through an alternative revenue strategy. </p><p>Every leader and company can benefit!</p><p>IRI is a leading provider of big data, predictive analytics and forward-looking insights that help CPG, OTC healthcare, retailers and media companies to grow their businesses.</p><p>Nishat has spent 25 years helping organizations identify ways to generate alternative revenue streams through data, insights and media. He’s also served in senior leadership roles at 84/51, dunnhumby and MicroStrategy.</p><p>He has a BA in Applied Mathematics and a MS in Computer Science from Harvard University.</p><p>LinkedIn Profile <a href="https://www.linkedin.com/in/nishatmehta" rel="noopener noreferrer" target="_blank"><strong>https://www.linkedin.com/in/nishatmehta</strong></a></p><p>Company Link:<strong> </strong><a href="https://www.iriworldwide.com/en-us" rel="noopener noreferrer" target="_blank"><strong>https://www.iriworldwide.com/en-us</strong></a></p><p><strong>What You’ll Discover in this Episode:</strong></p><p>The first big vision that inspired his career.</p><p>A question that helps you determine if a decision is ethical.</p><p>How to lead your team in the face of Accelerated Machine Learning.</p><p>Why empathy gets coded in last