DataFramed

Ofcom is the government-approved regulatory and competition authority for the broadcasting, telecommunications and postal industries of the United Kingdom. It plays a vital role in ensuring TV, radio and telecoms work as they should. With vast swathes of information from a wide range of sources, data plays a huge role in the way Ofcom operates - in this episode, we learn the key drivers of Ofcom’s...

The concept of literate programming, or the idea of programming in a document, was first introduced in 1984 by Donald Knuth. And as of today, notebooks are now the defacto tool for doing data science work. So as the data tooling space continues to evolve at breakneck speed, what are the possible directions the data science notebook can take?  In this episode of DataFramed, we talk with Dr. Jo...

In 2023, businesses are relying more heavily on data science and analytics teams than ever before. However, simply having a team of talented individuals is not enough to guarantee success.  In the last of our RADAR 2023 sessions, Vijay Yadav and Vanessa Gonzalez will outline the keys to building high-impact data teams in 2023. They will discuss what are the hallmarks of a high-performing data...

An effective data strategy is one that combines a variety of levers such as infrastructure, tools, organization, processes, and more. Arguably however, the most important aspect of a vibrant data strategy is culture and people. In the third of our four RADAR 2023 sessions, Cindi Howson and Valerie Logan discuss how data leaders can create a data strategy that puts their people at the center. Learn...

As organizations and the economy at large look to weather the challenges of 2023, data literacy is one of the keys to empowering organizations to navigate the decade's most significant challenges with confidence.  In the second of our four RADAR 2023 sessions, Jordan Morrow shares how to navigate the future with data literacy, and how organizations can thrive as data becomes ever more promine...

As organizations of all sizes continuously look to drive value out of data, the modern data stack has emerged as a clear solution for getting insights into the hands of the organization. With the rapid pace of innovation not slowing down, the tools within the modern data stack have enabled data teams to drive faster insights, collaborate at scale, and democratize data knowledge. However, are tools...

Data leaders play a critical role in driving innovation and growth in various industries, and this is particularly true in highly regulated industries such as aviation. In such industries, data leaders face unique challenges and opportunities, working to balance the need for innovation with strict regulatory requirements. This week’s guest is Derek Cedillo, who has 27 years of experience working i...

Oftentimes, Kaggle competitions are looked at as an excellent way for data scientists to sharpen their machine learning skills and become technically excellent. This begs the question, what are the hallmarks of high-performing Kaggle competitors? What makes a Kaggle Grand Master? Today’s guest, Jean-Francois Puget PhD , distinguished engineer at NVIDIA, has achieved this impressive feat three time...

Studies have shown that companies lacking in racial diversity also have a corresponding lack in their ability to innovate as a whole, which makes it important for any organization to prioritize an inclusive workplace culture and welcome more women and underrepresented groups in data. This is why Nikiska Alcindor's work is so vital to the future of the data science industry. Nikisha is the Presiden...

In order for any data team to move from reactive to proactive and drive revenue for the business, they must make sure the basics are in place and that the team and data culture is mature enough to allow for scalable return on investment.  Without these elements, data teams find themselves unable to make meaningful progress because they are stuck reacting to problems and responding to rudiment...

The most common application for data science is to solve problems within your own organization, and as professionals become more data literate, they rely less and less on others to solve their problems and unlock professional growth and career advancement. But in the world of consulting, data science is used to solve other people’s problems, which adds an additional layer of complexity since consu...

One of the toughest parts of any data project is experimentation, not just because you need to choose the right testing method to confirm the project’s effectiveness, but because you also need to make sure you are testing the right hypothesis and measuring the right KPIs to ensure you receive accurate results. One of the most effective methods for data experimentation is A/B testing, and Anjali Me...

Perhaps the biggest obstacle to establishing a data culture is building trust in the data itself, making it vital for organizations to have a robust approach to data governance to ensure data quality is as high as possible. Enter Laurent Dresse , Data Governance Evangelist and Director of Professional Services at DataGalaxy . Throughout his career, Laurent has served as a bridge between IT and the...

A special announcement from the DataFramed team. Join us for RADAR, a free two-day digital event curated to equip businesses and individuals with the insights to thrive in the era data, coming to you March 22-23, 2023!  Register here to secure your spot!

Data quality can make or break any data initiative or product. If you aren’t able to collect data that is accurate, or you have data sets that have varying structures, or are filled with typos and other issues caused by human error, then the chances drop drastically that your data models will be accurate, or even helpful. When it comes to healthcare, data quality can be an absolute nightmare. With...

When working with data, it’s easy for us to think about it as a mechanistic process, where data comes in and products come out. But as we’ve explored throughout the show, succeeding in data, whether you’re a data leader looking to build a data culture, a data scientist ascending the ranks, or even a policy maker looking to have an impact with data, the human side is crucial. At the heart of the “h...

Something we talk about alot on DataFramed is the importance of data literacy and data skills — and how they help both individuals and organizations succeed with data. Oftentimes, when organizations engage in upskilling programs on data literacy, one of the common pushbacks people have is, “I am not a numbers person”.  So how do you move past that? How can leaders help their people bridge the...

Throughout 2022, there was an explosion in generative AI for images and text. GPT-3, DALLE-2, pointed us towards an AI-driven future. Recently, ChatGPT has taken the (data) world by storm — prompting many questions over how generative AI can be used in day to day activities. With the incredible amount of hype surrounding these new tools, we wanted to have a discussion grounded in how these tools a...

In 2022, we saw significant developments in the field of data. From the emergence of generative AI to the growth of low-code data tools and AI assistants—these advancements signal an upcoming paradigm shift, where data-powered tools and machine learning systems will radically transform workflows across various professions. 2022 also saw digital transformation remain a major theme for organizations...

Just as data is used to help businesses determine new directions, set new goals, and measure progress, data can be used in everyday life to help people do the same as they seek to improve themselves. As the new year arrives, many people are thinking about new goals and new ways to improve their lives, so we have invited Gary Wolf to the show to explore how you can use data-driven thinking to drive...

In programming, collaboration and experimentation can be very stressful, since sharing code and making it visible to others can be tedious, time-consuming, and nerve-wracking. Tools like Power BI are changing that entirely, by opening up new ways to collaborate between team members, add layers of customized and complex security to the data teams are working with, and making data much more accessib...

The insurance industry thrives on data from utilizing data and analytics to determine policy rates for customers to working with relevant partners in the industry to improve their products and services, data is embedded in everything that insurance companies do. But insurance companies also have a number of hurdles to overcome, whether it’s transitioning legacy data into new processes and technolo...

With the increasing rate at which new data tools and platforms are being created, the modern data stack risks becoming just another buzzword data leaders use when talking about how they solve problems. Alongside the arrival of new data tools is the need for leaders to see beyond just the modern data stack and think deeply about how their data work can align with business outcomes, otherwise, they...

2022 was an incredible year for Generative AI. From text generation models like GPT-3 to the rising popularity of AI image generation tools, generative AI has rapidly evolved over the last few years in both its popularity and its use cases. Martin Musiol joins the show this week to explore the business use cases of generative AI, and how it will continue to impact the way the society interacts wit...

Data Analytics has played a major role in Chelsea’s journey to becoming the seventh most valuable football club in the world, Chelsea has won six league titles, eight FA Cups, five League Cups, and two Champions League titles. Today, we are going behind the scenes at Chelsea FC to see how they use data analytics to analyze matches, inform tactical decision-making, and drive matchday success in one...