This episode is from our recent webinar >> watch the webinar   Looking to spruce up your resume and stand out in the data field? We understand that there are some major changes happening in the tech industry and those changes can be daunting. In light of the recent layoffs happening in our industry, we wanted to help all our fellow tech comrades get hired and put their best foot forward.   In this skills-driven episode, RiseSmart will review the key competencies you’ll want to have before you apply and how to make them pop on a resume. RiseSmart will teach you how written branding materials open doors and help individuals: Get market-ready faster Generate more interview invitations Establish a competitive advantage Project an image as a good fit for target companies Shorten job searches • Produce better job offers Receive higher starting salaries

“Generative AI is a real thing, and it's going to become a must for companies to have some AI within their product.”  – Natalia Shuliak, COO at DoubleCloud In this episode of Data Chats, we're joined by Natalia Shuliak, the innovative COO of DoubleCloud, whose visionary work during Microsoft's transition to Azure and Databricks' pre-IPO phase has propelled her to the cutting edge of the data industry.  Our host, Chris Richardson, leads an insightful conversation exploring the transformative potential of generative AI in today's business landscape. In her discussion with Chris Richardson, Natalia offers an exploration of her career journey and reflects on how groundbreaking technologies have transformed businesses over time – just as AI is revolutionizing the current business environment. However, in a world where AI access is commonplace, can it truly deliver a competitive edge? What does it take to use data effectively to drive a significant business impact?  Natalia and Chris discuss the following tips to help get businesses on the right track: How to avoid getting overwhelmed by numbers or analytics The importance of tracking the right KPIs and why businesses should shift their focus from solely revenue to the key factors that generate it Recognizing the potential of smaller data sets in yielding quality insights The criticality of collecting data in one place for swift analysis and decision-making Don't miss this insightful conversation — press play to unravel how you can leverage data and AI to level up your business. Learn more about DoubleCloud here. Explore Valuable Resources  For those eager to delve even deeper, we've curated a list of valuable resources below. These resources are designed to guide you in harnessing data for insightful and informed decision-making. Explore them and start your journey towards becoming a data-driven organization today. Article | Transforming AI Insights Into Actions  Article | The Future of AI in the Workplace Article | Leveraging Data as a Tool for Business Growth Podcast | How to Avoid an AI Project Failure Podcast | How Organizations Can Better Leverage Data by Focusing on Structure and Scalability Podcast | Should You Delegate to ChatGPT? Insights from Nils Janse Empower Your Leadership | Data Science for Business Leaders Stay ahead of the curve in today's data-driven world – learn to collaborate seamlessly with data professionals, unlock actionable insights, and drive impactful decisions for your organization.  With our expert instructors and interactive curriculum, you’ll learn how to think strategically about data and apply data-driven insights to real-world business challenges. Register for Data Science for Business Leaders and elevate your strategic thinking with data. Learn More

"Good design is good communication. You can have great data, but if it's not presented effectively, no one's going to pay attention."  - Christopher Laubenthal, Data Design Manager at DeBruce Foundation  In this episode of the Data Chats, Eddie Gordon interviews Christopher Laubenthal, Data Design Manager at DeBruce Foundation, who shares strategies for effectively communicating complex data through design. He emphasizes the importance of framing data with narratives, breaking down key areas of understanding and using clear language to reflect deeper insights gained from research. Christopher also stresses the importance of incorporating user feedback and testing to improve the effectiveness of visualizations.  They dive deep into tested strategies, including:  Using a hierarchical design to order information based on importance Using narratives to frame data and engage the audience Avoiding data literacy gaps by making data more accessible Framing findings with compelling storytelling Christopher's insights offer valuable advice for anyone looking to improve their data communication skills through design. If you want to learn how to communicate data more effectively, this podcast is a must-listen. Want to continue learning about this topic? Check out the resources to learn more about how to communicate data effectively with key stakeholders.  Article | Communicating Data to Non-Data Teams Article | The Power of Data Storytelling for Business Impact Podcast | Strategies to Tell Better Stories with Data Podcast | Lost in Translation: Overcoming Communication Barriers Between Data and Business Teams Learn to Deliver Better Data Insights I Business-Driven Data Analysis This course is designed to help you translate a business problem into data analysis that provides actionable insights. Transform how you present insights and advance from a tactical role to being a strategic contributor for your organization.  ✔ Translate business needs into achievable data projects ✔ Learn a proven and repeatable approach to data analysis ✔ Identify the fastest path to actionable insights  ✔ Communicate effectively with diverse stakeholders Learn More

“Tell customers to be honest and give them the freedom to tell you the good, the bad and the ugly, because you will learn so much.” – Zack Wenthe Zack Wenthe, customer data platform evangelist and senior technical product marketing manager at Treasure Data, recommends organizations start to leverage data to create a better emotional connection with customers. Consumer behavior has changed post-pandemic and brands now have to keep up by creating an emotional connection with their customers beyond just traditional advertising. In this conversation with Chris Richardson, Zack explains that a true understanding of customers requires breaking down silos between teams and operating more efficiently, as well as creating meaningful profiles of customers that are deeply grounded in data. This means understanding how consumers interact with the brand, how customers make decisions emotionally and leveraging data to create meaningful decisions.  So how can companies use data to create a more effective marketing strategy? Create a center of excellence around customer data Have cross-functional conversations about what the organization is collecting, what they want to achieve and what gaps need to be filled  Ensure marketers and other team members know their objectives before asking for data from engineers Measure success over time and test different variations of content based on emotional triggers while monitoring who's buying or clicking through the most Don't miss out on this captivating conversation – hit play now to discover valuable takeaways that will reshape your perspective on consumer data. Want to dive deeper into this topic? Check out the resources below for insights on harnessing the power of data to make informed decisions.  Article | The Path to Data Democratization  Article | Communicating Data to Non-Data Teams Article | Leveraging Data as a Tool for Business Growth Podcast | Using the Right Strategy to Transform Raw Data Into Business Gold  Podcast | Lost in Translation: Overcoming Communication Barriers Between Data and Business Teams Podcast | Why Data is a Business Asset and How to Measure Its Value Empower Your Leadership | Data Science for Business Leaders Stay ahead of the curve in today's data-driven world – learn to collaborate seamlessly with data professionals, unlock actionable insights and drive impactful decisions for your organization.  With our expert instructors and interactive curriculum, you’ll learn how to think strategically about data and apply data-driven insights to real-world business challenges. Register for Data Science for Business Leaders and elevate your strategic thinking with data. Learn More

This episode is from our latest Data Chat webinar >> watch the webinar Unleashing the power of data analytics helps organizations maximize efficiency, uncover actionable insights, and drive business value. However, getting executives on board comes with its own set of challenges. So, how do you sell data analytics to the c-suite to become a more data-driven organization and leverage the power of data strategically? Join us as Pragmatic Institute’s data instructors, Marilyn Coleman and Dr. Susan Gracia, discuss strategies and initiatives that will help you get and keep executive buy-in. Data and business expert Marilyn Coleman shares: Hesitations from executives on sponsoring data Common obstacles on getting executive buy-in How to overcome challenges on selling data analytics to the c-suite How to leverage data with an optimized and repeatable approach Expand Your Knowledge | Data Science for Business Leaders Generating value from the data involves creating innovation, products, or insights. Learn to collaborate with data professionals to unveil business value, make informed decisions, and tackle problems effectively.

“Don't just assume that having advanced technology in place guarantees a solid data strategy. It can help you optimize and it can help you become efficient, but it cannot dictate your strategy.” -      Meenal Iyer Host Chris Richardson is joined by Meenal Iyer, VP of Data at Momentive.ai (formerly SurveyMonkey), to discuss data science for business leaders and the evolution of data over the past two decades. They delve into the significance of data democratization and fostering a robust data culture within organizations. The conversation addresses challenges such as governance and security while emphasizing opportunities for organizations to gain competitive advantages through faster access to insights and innovations derived from their data. Key points covered in the discussion include: • Designing a user-friendly data platform • Anonymizing and tokenizing data for secure user access • Charting a roadmap and vision for a data strategy • Identifying strategic priorities and establishing a center of excellence • Enhancing processes and establishing success metrics Data may be the new oil, but a well-crafted data strategy serves as the refinery that transforms it into valuable fuel. Discover how you can refine your data strategy and leverage data as a powerful asset in this engaging episode. Expand Your Knowledge | Data Science for Business Leaders Generating value from the data involves creating innovation, products, or insights. Learn to collaborate with data professionals to unveil business value, make informed decisions, and tackle problems effectively.

This episode is from our recent webinar >> watch the webinar Are you worried about making a career transition in the forecasted recession? Concerned about ending up in a field where layoffs could happen at any time? Data isn't going away, in fact, it's growing... so there's never been a better time to get into data science and data engineering for job security! We know that affordability is a major concern for everyone, but fear not, at The Data Incubator, we care about what you care about. In this data science bootcamp financing 101 webinar, you'll learn the details of each option we offer and how they're built to suit every individual's needs. You'll learn: What an ISA is and whether it's right for you The difference between a contingent payment plan and a tuition installment plan What sort of flexible loan options we offer How to get your employer to pay for you to attend What scholarships we have available And how you can stand out above the rest and get into our program for free - yes, we said free! You won't want to miss this crash course in financing! And to learn more about our data science bootcamp pricing.

“Data helps businesses understand their customers more, sell to them more and give them more relevant communications when they want to talk to them. It allows them to develop that relationship and to become that customer’s first choice.” -      Natasha Joslin   Sometimes, it feels like data teams are talking a different language than their counterparts. No matter how robust the data, insights often seem to fall onto deaf ears.   In this episode of Data Chats, Chris Richardson talks with Natasha Joslin, co-founder of Mojo, a data agency that helps businesses use their data to impact growth. They discuss how businesses need to bridge the gap between data teams, tech teams and business teams in order to get value from their data. Here are a few points they cover: Have a common language when discussing customer metrics or product definitions so that insight can be gained more easily. Leveraging data can mean different things depending on the context, such as customer research or web tracking. Data should be presented in terms of stories and insights that are relevant to the business plan. Good data governance practices democratize data so that everyone can use it without needing a computer science degree. Just having data isn’t enough. If you want to learn how to use your data to make an impact, be sure to check out this episode.   Continue Learning | Data Science for Business Leaders Learn how to partner with data professionals to uncover business value, make informed decisions and solve problems.

“They want to understand what's happening. They want a very clear connection between the model that you're doing and the business outcome. They want to know that you've considered all of the operational risks with what you're doing, that you understand the business, that you understand their motivations and their pain points.   All of that stuff is much more important to stakeholders than if you used TensorFlow or a neural net.”-Jeremy Adamson   In this episode of Data Chats, we have a Q&A with Jeremy Adamson, author of Minding the Machines.   Jeremy Adamson is a leader in AI and analytics strategy across industries. He has worked with major organizations to establish leadership positions in data science and to unlock real business value using advanced analytics.   During this episode, Jeremy and Chris discuss: Positioning your analytics unit within your organization Integrating analytics insights into business conversations in a meaningful way Challenges business leaders face when working with data teams Effective ways to put together data and analytics teams Don't miss this opportunity to learn from an expert in the field of data and analytics!   Continue Learning | Data Science for Business Leaders Data Science for Business Leaders shows you how to partner with data professionals to uncover business value, make informed decisions and solve problems.

This session features The Data Incubator instructor Ana Hocevar, who discusses what data ethics means and why it matters.   Nowadays, data is used to deliver insights and drive business decisions, but while that can improve revenue, reduce costs, create new opportunities, identify new ideas, improve customer experience and more, using data comes with responsibilities and ethical challenges.   In this webinar, Ana will discuss: What moral obligations data ethics encompasses, and why every analyst and data scientist should care Principles of data ethics together with best practices How data ethics relates to the use of machine-learning algorithms