Dr. Kendra Vant, Executive GM Data & AI Products at Xero, discusses the importance of a data-driven approach for small businesses. Topics include using data for finance, improving operations, and detecting credit notes. The podcast also highlights the integration of AI and product teams, the significance of data and metrics, and the importance of data literacy in the future of work.
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Quick takeaways
Being data-driven is crucial for small businesses to remain competitive in the digital age.
Tools like Xero can help small businesses optimize their financial operations and improve efficiency.
Deep dives
Data's Growing Importance in Small Businesses
Data literacy and the ability to use data effectively will continue to be crucial for small businesses in the coming years. As technology progresses, being able to understand and interpret data, spot misleading statistics, and make informed decisions based on data will become increasingly important in the workplace.
Main Use Cases of Data in Small Businesses
In small businesses, the main use cases of data revolve around financial management. Tools like Zero offer features that help manage cashflow, payroll, inventory, financing, and other financial aspects of a small business. By leveraging data effectively, small businesses can ensure their financial operations run smoothly and efficiently, allowing them to stay profitable and operational.
Success Stories of Small Businesses Using Data
Small businesses using tools like Zero have found success in making better use of data. By analyzing patterns and information stored in their financial records, businesses have been able to optimize processes such as order times, inventory management, and staff scheduling. This has led to improved efficiency, better customer service, and cost savings, benefiting the overall operations of the small businesses.
Tips for Small Business Owners on Data Usage
For small business owners looking to make better use of data, it is essential to pay attention to data quality and consistency. Categorizing and labeling data accurately and consistently allows for effective analysis and valuable insights. Small business owners can also seek guidance from their bookkeepers and accountants, who are knowledgeable about data and can provide valuable assistance in understanding and utilizing data effectively.
Throughout history, small businesses have consistently played a pivotal role in the global economy, serving as its foundational backbone. As we navigate the digital age, the emergence of large corporations and rapid technological advancements present new challenges. Now, more than ever, it's imperative for small businesses to adapt, embracing a data-driven approach to remain competitive and sustainable. In this evolving landscape, we need champions dedicated to guiding these businesses, ensuring they harness the full potential of modern tools and insights to ensure a fair and varied marketplace of goods and services for all.
Dr Kendra Vant, Executive General Manager of Data & AI Products at Xero, is an industry leader in building data-driven products that harness AI and machine learning to solve complex problems for the small-business economy. Working across Australia, Asia and the US, Kendra has led data and technology teams at companies such as Seek, Telstra, Deloitte and now Xero where she leads the company's global efforts using emerging practices and technologies to help small businesses and their advisors benefit from the power of data and insights. Starting with doctoral research in experimental quantum physics at MIT and a stint building quantum computers at Los Alamos National Laboratory, Kendra has made a career of solving hard problems and pushing the boundaries of what's possible.
In the episode, Kendra and Richie delve into the transformative impact of data science on small businesses, use-cases of data science for small businesses, how Xero has supported numerous small businesses with data science. They also cover the integration of AI in product development, the unexpected depth of data in seemingly low-tech sectors, the pivotal role of software platforms in data analysis and much more.