In this episode, we explore the critical balance between technical data expertise and essential soft skills, such as communication and stakeholder management. Our guest Robert Bonovich Senior Business Analyst at Cisco Systems shares real-world examples from their career, including a fascinating story from their time in sales where they leveraged multiple data sets to target prospects effectively. We also discuss the importance of developing personal data projects, building strong communication skills, and continually asking the right questions to find insights that drive business success.Key Takeaways:Don't underestimate soft skills: Effective data analysis goes beyond technical prowess; it’s about how well you can communicate insights to non-technical stakeholders.Creating value with data: Even small insights, such as a slight improvement in conversion rates, can lead to significant business impacts.Asking the right questions: Constantly observing patterns and trends in your data is crucial for finding actionable insights.Building personal projects: Working on personal data projects can sharpen your analytical skills and help you spot opportunities in professional settings.Passion Discovery: Shifting from computer science to math and data analytics due to a passion for solving real-world problems.Career Pivot: Overcoming the fear of being stuck in a cubicle by pursuing a path that combined technical and interpersonal skills.Practical Application of Coding: Using R and Python to solve complex business problems, like ROI analysis for companies.Quote of the Show:“Everyone wants to hit the home run. But if you're constantly just making little data insights that can create singles or doubles, You're getting on base, you're still creating value, right?” - Robert BonovichLinks:LinkedIn: https://www.linkedin.com/in/robert-bonovich-162a4a121/Website: https://www.cisco.com/Ways to Tune In:Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts

In this episode, we dive deep into the art of using data to drive better business decisions with some of our favorite guests. From the challenge of compiling vast amounts of information to the thrill of discovering insights, we explore how data plays a crucial role in shaping strategies. Our guests also highlight the significance of original research in data collection, collaboration with peers to fill gaps, and how data-driven marketing can be a powerful tool for business growth. We also touch on the importance of starting with the business objectives before diving into tools and technology.Key Takeaways:The Joy of Data: Compiling and interpreting data is challenging but leads to exciting insights that can shape key decisions.Original Research Matters: Being part of the data creation process adds value, especially when sharing insights with peers and the industry.Data as a Marketing Tool: Leveraging reports and competitive intelligence to engage with prospects and customers is a powerful strategy.Links to Episodes:Data Integrity - Jeremy Woods - Making Better Decisions - Episode # 001https://youtu.be/gHJ4BWi6TLcNavigating the Data Labyrinth - Seth Earley - Making Better Decisions - Episode # 002https://youtu.be/I9OVQgE4wSEThe 'Why' Behind Data with Rebecca Friedberg - Making Better Decisions - Episode # 011https://youtu.be/darh1Lg44sQHow AI and Data work together - Judah Phillips - Making Better Decisions - Episode # 014https://youtu.be/WKp6CE5jrIQWays to Tune In:Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts

In this episode, we dive deep into the essential roles of FP&A (Financial Planning and Analysis) and BI (Business Intelligence) within organizations. Our guest William Bett highlights the importance of making data accessible to everyone, not just experts, and emphasizes that understanding and translating data into actionable business insights is a crucial skill in today’s environment. The discussion explores the differences between FP&A and BI, how each team contributes to strategic decision-making, and the tools necessary to navigate both technical and business challenges. We also talk about imposter syndrome, the need for continuous learning, and the evolving nature of data-driven roles.Key Takeaways:Data is for Everyone: You don't need to be a data expert to leverage it—understanding the context and translating it into decisions is key.FP&A vs. BI: FP&A is more business-driven, focusing on strategic decision-making, while BI tends to be more technically focused on data architecture and reporting.Storytelling with Data: It’s not just about graphs and numbers; it’s about telling a story that leads to clear, informed decisions.Adapting Tools to Tasks: Excel remains a key tool in FP&A for scenario analysis, while more advanced BI tools (like Tableau and Power BI) handle large-scale data.The Importance of Data Integrity: In FP&A (Financial Planning and Analysis), maintaining accurate data is crucial. The challenge lies in ensuring that the data being used is clean and consistent, as assumptions based on poor-quality data can lead to incorrect outcomes.Building a Data-Driven Culture in FP&A: A data culture in FP&A is about more than just hiring technically skilled people. It involves ensuring that everyone understands the data's origins, definitions, and meaning, allowing the team to confidently communicate insights to stakeholders.Quote of the Show:“Data is important for everyone and it should be approachable for everyone, meaning that you don't need to be a data scientist or some sort of data expert to be able to use data.” - William BettLinks:LinkedIn: https://www.linkedin.com/in/williambett/Website: https://www.precisionaq.com/Ways to Tune In:Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts

In this insightful episode, we dive into the critical components of making data-driven decisions, focusing on how to ask the right questions about your data. Antonio Neto emphasizes the importance of crafting clear problem statements and understanding the role data plays in shaping successful product development. Through real-world examples, they share how businesses can enhance decision-making by aligning data insights with business objectives and using design thinking to approach analytics in a user-centered way.Key Takeaways:Ask the Right Questions: Understanding how to ask precise, insightful questions about your data is foundational for effective decision-making. If your question isn’t clear, the data may provide answers that don’t meet your needs.Quality of Data Matters: Even with the right problem statement, poor data quality will lead to poor decisions. Ensure your data is clean and reliable for meaningful analysis.Use Design Thinking: Applying design thinking in data and product development helps businesses craft solutions that are more aligned with user needs.Integrate Data from the Start: For data-driven success, build your data infrastructure and tracking systems from the very beginning. This ensures seamless data analysis and faster product-market fit.A/B Testing Is Essential: Instead of relying on assumptions, leverage A/B testing to guide decisions. This method can drastically improve product performance based on real user feedback.Quote of the Show:“A huge mistake that happens sometimes is people believe that the data strategy should drive the business strategy. Not at all. No, we'll have the business strategy and the business strategy will drive the data strategy.” - Antonio netoLinks:LinkedIn: https://www.linkedin.com/in/antonio-neto-tech/Website: https://www.qapital.com/Ways to Tune In:Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts

In this insightful episode, Dr. Sue Tripathi delves into the complexities of data utilization in businesses, emphasizing the importance of understanding which data sets are relevant to specific goals. The conversation explores how businesses can streamline their data practices to achieve more accurate and impactful outcomes. The discussion also touches on the significance of AI, including large language models, in driving operational efficiency and achieving strategic objectives. However, the conversation highlights the need for caution and ethical considerations when implementing AI solutions.Key Takeaways:Relevance Over Quantity: Focus on identifying the most relevant data sets rather than trying to analyze all available data. Understanding the purpose behind data collection is crucial for effective decision-making.Goal-Driven Data Utilization: Before diving into data analysis, it’s essential to define the goals and objectives clearly. This helps in selecting the appropriate data sets and avoiding partial insights that lead to incomplete outcomes.Simplicity in Approach: Start small with pilot projects to test the validity and reliability of data before scaling up. This approach helps in managing resources effectively and avoids overwhelming the organization.SMART Goals: Use SMART (Specific, Measurable, Achievable, Relevant, Time-bound) criteria to ensure that goals are realistic and aligned with the organization’s capabilities and market conditions.The Role of AI: AI, particularly large language models, can significantly enhance operational efficiency and strategic decision-making. However, it’s essential to be mindful of ethical implications, potential biases, and the lack of standardization in AI applications.Quote of the Show:“I think the one thing I wish people knew is to know the right sets of data they should be using.” - Sue TripathiLinks:LinkedIn: https://www.linkedin.com/in/st825/Ways to Tune In:Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts

In this episode, we dive deep into the complexities of data management, the platform approach to analytics, and the nuances of data storytelling with our guest, Claus Torp Jensen, a seasoned data expert. We also explore unique challenges in the healthcare industry and how data can drive better decisions, outcomes, and healthier lives.Key Takeaways:The importance of avoiding "analysis paralysis" in data projects and moving towards platform-based solutions to reduce repetitive work.The dangers of pursuing "Big Bang" data projects, such as building large data warehouses without a clear, incremental path.Data storytelling is not just about telling stories but tailoring those stories with a purpose to drive decisions and actions.Healthcare data challenges include the lack of comprehensive standards, complex consent regulations, and the difficulty of integrating patient data across different systems.Despite these challenges, the potential rewards in healthcare are immense, from improving patient outcomes to creating digital twin representations for better health management.Quote of the Show:"Storytelling, in my world, is telling stories with a purpose. You tailor your story to promote your purpose, which is essential when explaining data-driven solutions.” - Claus Torp JensenLinks:LinkedIn: https://www.linkedin.com/in/claustorpjensen/Website: https://www.utexas.edu/campus-life/medical-centerSocial Media: https://mobile.x.com/ClausTorpJensenWays to Tune In:Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts

In this episode, we explore the intersection of finance and data analytics. Divyasom has a wealth of experience in both consulting and financial reporting and dives into how finance professionals can enhance their data processes. We discuss the importance of data accuracy, automation in financial reporting, and the challenges of maintaining both speed and trust in a rapidly changing digital landscape. From automating repetitive tasks to balancing statutory requirements with innovative approaches, this episode is packed with insights for finance and data professionals alike.Key Takeaways:Data Quality: The quality of your data needs to be fit for the intended use case. Poor-quality data leads to poor outcomes. While aiming for perfect data can lead to diminishing returns; focus on achieving quality data relevant to the use case.Trust and Auditability: Financial reports must be trustworthy and backed by auditable records, ensuring confidence both internally and externally. Organizations must ensure their data systems are structured to prevent unauthorized alterations and maintain consistency.Simplification: Financial reports need to be simple and understandable by non-financial stakeholders. Automation: Automating repetitive financial processes can drastically reduce turnaround time and improve data reliability.Finance and Data Synergy: The blend of finance and data analytics is powerful but requires careful management of automation, accuracy, and human oversight.Quote of the Show:“What people need to focus a little bit more on is not to get too bogged down with having the perfect data. ” - Divyasom MalhanLinks:LinkedIn: https://www.linkedin.com/in/divyasom/Website: https://www.se.com/us/en/?utm_source=google&utm_medium=cpc&utm_purpose=marketo&utm_campaign=2024_jan_us_allbu_einnovation_google_consideration_sem_global_gmc24_corebrand&utm_term=Schneider%20Electric&campaign_objective=consideration&mcl_name=einnovation&gad_source=1&gclid=CjwKCAjw_ZC2BhAQEiwAXSgClmkm5_55i3EB0N6Bc88PLykcoCym9j-AGZ_Ya2hYyttCxFF6_N8lbBoC994QAvD_BwEWays to Tune In:Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts

In this episode, we dive deep into the fundamentals of data, discussing how to simplify complex data structures using concepts like star schemas. Steven Willard, an experienced data professional, shares insights on the importance of understanding and leveraging data for business success. We explore the evolution of data practices, the significance of automation in data processes, and how to cultivate a strong data culture within organizations. The conversation also highlights practical advice on implementing data infrastructure incrementally and the importance of staying current with technological tools to solve real business problems.Key Takeaways:Star Schemas Simplified: Data can be distilled into three core elements—dimensions (things that exist), facts (things that happen), and the relationships between them. Understanding this can simplify data management.Data Maturity Journey: Start small and focus on impactful solutions. Incremental improvements and compounding efforts over time lead to long-term success.Automation in Data: Automating repetitive data tasks frees up valuable time, allowing professionals to focus on analysis and strategic decision-making.Building Data Culture: Solve small, impactful problems first to build trust and excitement around data. Over time, this leads to a strong data-driven culture.Staying Technically Sharp: Continuously update your knowledge of data tools and techniques. This enables you to connect business pain points with effective technical solutions.Quote of the Show:“It really describes things that exist, things that happened, and how they relate to one another.” - Steven WillardLinks:LinkedIn: https://www.linkedin.com/in/stevenwillard/Website: https://organogenesis.com/Ways to Tune In:Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts

In this episode, we dive into the significance of agile methodologies in the realm of data analytics. Zainulabedin Shah the Former SR Director of Global Analytics at Herbalife and Co-Founder of Threedcase shares invaluable insights on managing data initiatives, aligning team goals, and the critical role of education and change management in enhancing an organization's data maturity.Takeaways:The challenges of integrating data initiatives compared to longstanding business functions like finance and accounting. The importance of incremental returns and managing expectations in data projects.Strategies for managing change, especially on the people side, when undertaking new data initiatives. The role of patience, communication, and education in successfully embedding data analytics into an organization's workflow.The analogy of data analytics to the operations of a kitchen and the importance of high-quality data over sheer quantity. The experience of transforming an organization to be more data-driven and the educational journey involved.Aligning sales metrics with organizational goals and ensuring sales incentives drive the right behaviors. The importance of shared accountability and the integration of individual and team goals to drive overall business success.Balancing the preparation and integration phases with analysis and insights in data projects. Delivering incremental value through quick wins to build credibility and trust with stakeholders.Quote of the Show:“Sales metrics need to align with organizational goals to ensure salespeople’s incentives drive the right behaviors.” - Zainulabedin ShahLinks:LinkedIn: https://www.linkedin.com/in/zainulabedinshah/Website: https://www.linkedin.com/company/threedcase/Ways to Tune In:Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts

In this episode, we dive deep into the intricacies of sales reporting and explore how attention to detail and inclusiveness play crucial roles. We also take an insightful detour into the horticulture industry, uncovering the surprising data-driven processes behind plant production and sales. Join us for a fascinating conversation that bridges the worlds of sales analytics and horticulture. Takeaways:They show the significance of accurate sales reporting on individuals' livelihoods. They also talk about the consequences of errors in sales data on compensation and job security.How to Involve all stakeholders, including salespeople and managers, in the reporting process. The value of collaboration in defining KPIs (Key Performance Indicator) and ensuring data accuracy. How gamification strategies, like scoreboards and visualizations, motivate sales teams.The need to balance thorough testing with maximizing impact in consulting versus corporate environments. How to create strategies for incorporating testing and documentation into the development processTalking about the hidden complexities and data-driven decisions in farming and horticulture. The crucial role of data in predicting demand, managing yields, and ensuring product quality.Quote of the Show:“I wish that more people knew how much work it takes to get the right base data for whatever you're trying to answer..” - Scott ParisiLinks:LinkedIn: https://www.linkedin.com/in/scott-d-parisi/Website: https://www.newbalance.com/Ways to Tune In:Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts

On this week’s episode of making better decisions your host Ryan Sullivan answers the most common questions from the listeners. Ryan talks about tying data to business goals, balancing thorough analysis with deadlines, building a data culture, preferred tools and technologies, data strategy and executive leadership and more! Takeaways:Discussing the importance of aligning data initiatives with clear business objectives. Whether it's improving product quality or reducing costs, every data project should directly contribute to the organization's purpose, be it nonprofit or for-profit.Speaking on the challenge of optimizing data analysis within tight timelines. The approach involves aligning analysis depth with the urgency of decision-making, fostering communication between analysts and stakeholders to manage expectations effectively.Highlights the importance of people in shaping a data-driven culture. Emphasizes diversity of thought, collaboration, and continuous learning as essential traits when building teams focused on data-driven decision-making across various organizational functions.Emphasizes the role of executive leadership in championing data initiatives, ensuring alignment with organizational priorities, and removing barriers to project success.He discusses different technologies and emphasizes choosing tools that align with organizational needs, technological capabilities, and business priorities for effective data analysis and visualization.Quote of the Show:“If I know exactly how the work that I'm doing is going to improve the business's functioning or its outcomes and decision making, that's how we know that this is a good thing to invest in” - Ryan SullivanLinks:LinkedIn: https://www.linkedin.com/in/ryanmuldoonsullivan/Website: https://canopyanalytic.com/?gad_source=1&gclid=CjwKCAjwhvi0BhA4EiwAX25uj77atJjlS2R2vfXMRx2RpJlrc8Lmzw7gKUePMWv6qioCWOcOtCp4-hoCjskQAvD_BwEWays to Tune In:Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts

In this podcast Ryan speaks to the CEO of Squark Judah Phillips. They discuss the importance of AI when looking at the future of Data Analytics. The conversation also touches on how to ensure that the data you are hunting for is the correct data for the question you are asking.  Takeaways:They discuss the evolution and application of language models (LLMs), particularly focusing on large language models (LLMs) like ChatGPT and their impact on AI and business strategies. It emphasizes how LLMs use sophisticated mathematics and proprietary approaches to generate contextually relevant language in real-timeThe discussion also distinguishes between generative AI, exemplified by LLMs, and predictive AI, which focuses on statistical predictions and business analytics. It underscores the importance of aligning AI tools with specific business use cases to achieve tangible outcomes and return on investment (ROI). The narrative highlights challenges such as data privacy concerns and the need for strategic integration of AI into business processes.Overall, the passage advocates for a nuanced approach to adopting AI technologies, emphasizing the necessity of clear business objectives and understanding the diverse capabilities of AI tools for effective implementation.Quote of the Show:“You have to ensure that the question you're trying to answer can be answered by the data that you have. ” - Judah PhillipsLinks:LinkedIn: https://www.linkedin.com/in/judahphillips/Website: https://squarkai.com/Ways to Tune In:Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts

In this week’s episode of Making Better Decisions, host Ryan Sullivan sits down with Brady Crawford (Senior Associate BI Analyst at Cerity Partners.) Brady emphasizes the critical role of trust, relationship building, and strategic alignment in fostering a successful data culture within organizations, particularly in tech consulting. They highlight the importance of moving beyond technicalities to understand the "why" behind data practices and decisions. This approach not only enhances collaboration but also ensures that data initiatives align with broader business goals and strategies. Takeaways:Brady emphasizes that trust and relationship building are crucial in building a successful data culture within any organization. This involves understanding colleagues' and clients' roles, their goals, and their perspectives, which helps in aligning data strategies effectively.Brady speaks on the concept of data culture being described as integral to how organizations operate and make decisions. It begins with leadership commitment to using data effectively, aligning resources and strategies with clear business goals, and ensuring data literacy across the organization.The need for effective relationship building facilitates smoother project execution and client engagement. By understanding individual preferences, communication styles, and professional goals, consultants can tailor their approach to effectively collaborate and deliver value.Brady reflects on the dynamic nature of consulting roles, where continuous learning and adaptability are essential. Both Ryan and Brady find value in tackling new challenges and leveraging their team's expertise to build robust data solutions that support organizational growth.The conversation underscores the interconnectedness of technical expertise, relationship building, and strategic alignment in fostering a successful data culture within organizations, particularly in the context of tech consulting and financial analytics.Quote of the Show:“Trust and relationship building are key pillars to building a successful data culture.” - Brady CrawfordLinks:LinkedIn: https://www.linkedin.com/in/brady-crawford/ Website: https://ceritypartners.com/team/brady-crawford/ Ways to Tune In:Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts

In this week’s episode of Making Better Decisions, host Ryan Sullivan sits down with Christopher Antonopoulos, Founder and CEO of Measured Results Marketing. Christopher shares his concept of creating the right data is more important than having a ton of data. He also goes over the importance of creating the human connection still to ensure the data you are giving them matches what the Company needs.Takeaways:Christopher emphasizes that organizations don't need to retain all data collected indefinitely. Instead, they should focus on keeping data that directly informs decision-making. Understanding the origin and accuracy of data is crucial for its relevance.Christopher criticizes the misconception that more data always leads to better decisions. Often, the abundance of data complicates rather than simplifies decision-making processes. He advocates for identifying and prioritizing essential data points aligned with business goals.Discussing trends in sales and marketing technology (MarTech), Christopher stresses the importance of using technology to enhance personal relationships rather than relying solely on automated processes. This approach ensures that technological tools support meaningful interactions and trust-building with customers.Regarding the use of third-party data sources, Christopher suggests focusing first on enriching existing customer data. He advises using external data sources judiciously, aligning them closely with ideal customer profiles and experimental testing to validate their relevance.Christopher underscores the shift towards personalized customer engagement, facilitated by technology but anchored in human relationships. This approach acknowledges that a significant portion of the decision-making process happens before direct engagement, necessitating thorough customer insights and preparation.Christopher Antonopoulos discusses the importance of personalization in building relationships, particularly in a digital context. He emphasizes the need to understand a person's interests and background to create meaningful connections from the outset, citing the adage that you never have a second chance to make a first impression.Christopher advocates for a strategic approach to relationship-building that prioritizes understanding, sincerity, and respect, rather than relying solely on quantitative metrics that may not accurately reflect the depth of a business relationship. Quote of the Show:“The company who is selling is responsible for having the same amount of information about the person they're engaging with. ” -Christopher Antonopoulos Links:LinkedIn: https://www.linkedin.com/in/cantonopoulos/ Website: https://www.measuredresultsmarketing.com/ Other Connections: https://www.instagram.com/findyouryeti/ Ways to Tune In:Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts

In this week’s episode of Making Better Decisions, host Ryan Sullivan sits down with Rebecca Friedberg, Director of Marketing Analytics & Insights at Benefit Cosmetics. Rebecca shares insights from her decade of experience in marketing analytics, emphasizing the importance of understanding the 'why' and 'so what' behind data points to drive better decision-making. She also discusses challenges in the marketing sector, such as data privacy, walled gardens, and attribution. It’s an insightful episode you don’t want to miss! Takeaways:Rebecca emphasizes the importance of delving into the reasons behind the data. This approach ensures that insights are not just numbers but are tied to meaningful narratives that inform decision-making processes. A key element in fostering a data-driven culture is the role of collaboration and partnerships. Working together allows for the pooling of diverse perspectives and expertise, leading to more robust and comprehensive insights. Rebecca highlights significant challenges such as data privacy, walled gardens (closed ecosystems), and attribution. These issues complicate the process of obtaining accurate and actionable data insights. It's crucial to balance structured data analysis with exploratory methods. Structured analysis provides reliable and repeatable insights, while exploratory analysis allows for discovering new patterns and opportunities. Rebecca shares strategies for cultivating effective relationships within an organization, stressing the importance of prioritizing face-to-face interactions. Direct communication helps in building trust, aligning goals, and fostering a collaborative environment. Leaders and communicators are encouraged to approach data analysis with a collaborative mindset, fostering teamwork and shared goals. This approach not only enhances the quality of insights but also ensures that data-driven decisions are well-supported and broadly accepted within the organization.In marketing, both quantitative analysis and creative thinking are valuable. Rebecca highlights the integration of analytical and creative processes, demonstrating how they complement each other to produce innovative solutions. This dual approach enables marketers to leverage data while also crafting compelling and engaging narratives.Quote of the Show:“The most valuable use of data is through an exploratory approach, adopting a scientific and discovery-based mindset.” - Rebecca FriedbergLinks:LinkedIn: https://www.linkedin.com/in/rebeccajfriedberg/  Company Website: http://www.benefitcosmetics.com Ways to Tune In:Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts

In this episode of the Making Better Decisions podcast, host Ryan Sullivan sits down with Christian Damare Bates, Senior Software Engineer of Data Platforms at Pryon. The conversation covers the importance of requirements gathering in delivering effective products, the challenge of balancing agile methodologies with strategic planning, and the mathematical concepts like entropy in decision-making and reinforcement learning. They also delve into the growth from basic business intelligence to complex AI models, highlighting the practical applications of AI in organizations and the importance of human interaction in leveraging AI tools.  Takeaways:Prioritize detailed and accurate requirements gathering at the start of projects to ensure the delivery of successful products. This step is crucial to understand user needs and avoid costly revisions later.Implement a balanced approach by combining agile methodologies with strategic planning. This helps in maintaining flexibility and responsiveness while avoiding chaotic and unstructured work environments.Utilize key mathematical concepts like entropy and reinforcement learning to enhance decision-making processes and data exploration. These tools can provide valuable insights and guide more informed choices.When adopting AI tools, ensure they align with the organization's core mission and values. This alignment helps in effectively integrating AI into workflows, enhancing productivity, and maintaining focus on strategic objectives.Use AI to automate and enhance routine, mundane tasks. This allows human employees to concentrate on more creative and strategic activities, improving overall job satisfaction and innovation.Leaders should clearly identify their organization's core value proposition. This understanding is essential for strategically implementing AI tools that support and amplify the organization's strengths and goals.Adopt technology in a balanced manner to enhance, rather than replace, human creativity. This approach supports artistic and creative endeavors, ensuring that technology serves as a tool to augment human capabilities rather than overshadow them.Quote of the Show:“Requirements gathering is a major blocker to delivering good products, making effective communication crucial to track work and achieve desired outcomes.” - Christian DiMare-BaitsLinks:LinkedIn: https://www.linkedin.com/in/dimare-christian/ Company Website: http://www.gradientai.com Ways to Tune In:Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts

On this week’s episode of the Making Better Decisions podcast, host Ryan Sullivan interviews Emilie Sanders Lee, the EVP of Global Analytics and Chief of Staff at JustGlobal, Inc. With over 15 years of experience in analytics and marketing across B2B, B2C, and D2C spaces, Emilie shares vital insights about using data integrity and audience understanding to drive better decision-making. She highlights the critical importance of data accuracy, the evolving nature of marketing analytics, and the necessity of aligning analytics teams with business objectives. Emilie also discusses her approach to fostering psychological safety in the workplace, which has led to impressive employee retention. It’s an insightful episode you don’t want to miss! Takeaways:Emphasizing the importance of maintaining data integrity and clear communication, Emilie highlights the necessity to ensure data accuracy and adapt information delivery based on the audience's familiarity with data concepts.Emilie underscores the growing significance of first-party data as the industry moves away from third-party cookies, stressing its critical role in future marketing strategies.The continuous evolution of marketing metrics and tools is a key point of discussion, highlighting the need for marketers to stay updated with the latest advancements to remain competitive.Emilie advocates for creating a psychologically safe environment within teams to foster innovation and creativity, enabling team members to feel secure in sharing their ideas and taking risks.The value of volunteer work is emphasized not only for personal fulfillment but also for professional development, contributing to a well-rounded growth trajectory.Emilie provides practical guidance for leaders on building effective analytics teams, including understanding team members' strengths, setting clear objectives, involving analytics professionals in decision-making, and maintaining empathy and open communication.Emilie's interests in gardening, SoulCycle, and volunteerism add depth to her professional perspective, suggesting that diverse personal hobbies can enrich one's professional life.Quote of the Show:“Everyone digests data differently; customizing it for each person is part of the marketing analytics battle.” - Emilie Sanders LeeLinks:LinkedIn: https://www.linkedin.com/in/emiliesanderslee/  Company Website: https://justglobal.com Just Global’s Data Solution: https://justglobal.com/theia-ai/Ways to Tune In:Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts

Welcome to another episode of the Making Better Decisions podcast! This week, host Ryan Sullivan sat down with Ash Tiwari, Managing Director – KPMG Tax Ignition, to discuss the importance of context for data professionals, the collaborative relationship between business and technology teams, the challenges of data siloing, and the transformative impact of low code and no code tools. They also explore the evolving role of generative AI in data analytics and its potential benefits across different industries. It’s an enlightening episode you don’t want to miss! Takeaways:It's crucial for data professionals to understand the business context in which they operate to make more effective and relevant decisions.Business teams need to recognize the inherent complexities involved in integrating data to fully appreciate the efforts and challenges faced by their technology counterparts.A strong, collaborative relationship between business and technology teams is essential for developing efficient and innovative solutions.The use of low code and no code tools empowers 'citizen developers' to engage in data analytics without needing deep technical expertise, making data usage more accessible across the organization.Embracing generative AI and investing in continuous learning and upskilling are key strategies for leaders to balance centralization and democratization of data practices, thereby enhancing data processing and business insights.Investing in continuous learning, upskilling, and embracing new technologies is essential for improving data processing and deriving business insights.Quote of the Show:“Understanding the bigger picture can sometimes get neglected because we, as data people, get overindulged in our technology side and forget the business side.” - Ash TiwariLinks:LinkedIn: https://www.linkedin.com/in/ashutoshtiwari/ Company Website: http://www.kpmg.com/US Ways to Tune In:Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts

On this week’s episode of Making Better Decisions, host Ryan Sullivan sits down with Shawn Egan, Space Assortments & Systems Lead at the Boston Beer Company! Shawn and Ryan delve into the importance of asking the right questions in data analysis to make informed decisions, rather than just seeking data without clear objectives. Sean emphasizes the value of understanding the business behind the data and the distinction between serving a sales or leadership audience versus data analysts. They also discuss the evolution of data tools like Power BI and how they've changed the landscape of data analytics by enabling real-time decision-making. It’s an inspiring episode you don‘t want to miss! Takeaways:The essence of leveraging data effectively lies in asking the right questions. Rather than seeking specific data points, understanding the problems to be solved can lead to more meaningful insights.A profound grasp of the business environment and challenges enhances the value derived from data. Sean underscores the importance of marrying technical data skills with business acumen to generate relevant outcomes.The conversation highlights the shift in data analytics brought about by tools like Power BI and Tableau, which have revolutionized decision-making by enabling real-time analysis and visualization. Embracing these tools can significantly enhance an organization's agility and responsiveness.Balancing technical expertise with business knowledge within teams is crucial. Identifying individuals who possess a natural curiosity and an aptitude for bridging the technical-business divide can lead to more cohesive and effective data utilization.Sean's personal journey illustrates the value of continuous learning and staying adaptable. Transitioning from sales to category management and eventually to leading a technical team showcases the importance of constantly acquiring new skills and embracing change.Leaders are encouraged to foster a culture of technical curiosity within their teams. Providing opportunities for team members to learn about and experiment with new data tools and methodologies can spur innovation and improve decision-making processes.The ability to make informed decisions on the fly, enabled by modern data analytics tools, is a game-changer. Cultivating the capability to analyze and interpret data in real-time can lead to more dynamic and successful strategies.Quote of the Show:“Finding the right people, giving them leeway, and handing them the right tools is a huge time saver.” - Shawn EganLinks:LinkedIn: https://www.linkedin.com/in/shawn-egan-a34a959/  Company Website: www.bostonbeer.com Ways to Tune In:Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 Transistor: https://www.makingbetterdecisions.live/episodes YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts

On this week’s episode of Making Better Decisions, host Ryan Sullivan sits down with Jimmy Holmes, Director of Data Management and Business Intelligence. Ryan and Jimmy delve into the critical importance of data quality, with Jimmy highlighting the concept of 'garbage in, garbage out' and the challenges organizations face in prioritizing and managing data effectively. They discuss how to make better decisions using data, emphasizing the importance of aligning data strategies with business strategies and ensuring data reliability. They also touch on the evolution of data tools and the shift towards more efficient and accessible data processes. It’s a great episode you don’t want to miss! Takeaways:Jimmy emphasized the axiom 'garbage in, garbage out', underscoring the imperative need for good data quality. Without quality data, decision-making processes are compromised, leading to potentially flawed business outcomes.Jimmy emphasized the importance of integrating data strategies directly with overall business strategies. This approach ensures that data initiatives support core business objectives, maximizing impact and value.The conversation touched on the advances in data tools and how they've become more user-friendly and integrated into common platforms like Excel. These tools have democratized data analytics, making it accessible to a broader audience within organizations.Jimmy highlighted the necessity of fostering a data culture within organizations, where data is valued as a key asset and its management is seen as everyone's responsibility. This involves training, empowering team members, and encouraging a mindset shift towards data-driven decision making.The discussion also covered the balance between having centralized analytics functions and empowering individual team members with the tools and knowledge to perform their analyses. Finding the right balance is crucial for harnessing the full potential of an organization’s data resources.Quote of the Show:“Garbage in is still garbage out.” - Jimmy HolmesLinks:LinkedIn: https://www.linkedin.com/in/jimmy-holmes-b93030120/  Company Website: http://www.valaris.com Ways to Tune In:Spotify: https://open.spotify.com/show/6PpvYXoXjAYl8auDpmShYi Apple Podcasts: https://podcasts.apple.com/us/podcast/making-better-decisions-leaders-in-data/id1739178505 Amazon Music: https://music.amazon.com/podcasts/5e2ec300-0c66-4e24-8b01-0586af60235c/making-better-decisions-leaders-in-data Podchaser: https://www.podchaser.com/podcasts/making-better-decisions-leader-5672586 YouTube: https://www.youtube.com/@MakingBetterDecisions/podcasts