Every organization is trying to become data-driven. To do this, you need to arm yourself with the latest insights and trends on how to build data transformation programs, scale data literacy within your teams, and build a sustainable data culture. Over the past year, we’ve published a variety of webinars and white papers with insights from industry thought leaders blazing the trail in creating data-driven organizations.
In this 3-part webinar series, Ramnath Vaidyanathan, VP of Product Research at DataCamp, outlines our proprietary IPTOP framework (infrastructure, people, tools, organization, and processes) for becoming a data-driven organization. Part 1 provides an overview of all elements of the framework, part 2 deep-dives into infrastructure and tools, and part 3 deep-dives into people, organizational models, and processes. All of these webinars require no email sign-ups and have awesome tidbits and transcripts on the page.
In this webinar, Marc Wintjen, Data Literacy champion and Senior Risk Architect at Bloomberg, discusses how data literacy enables teams of various technical skills to better collaborate and dig through the why behind the data. He also offers awesome insights on when and which data visualizations provide the most insights, and how to become a masterful data storyteller in the process. This webinar requires no email-sign up and has an awesome array of visualizations embedded in the transcript.
In this webinar, Regional Chief Data and Analytics Officer at Allianz Benelux discusses the ins and outs of transforming a massive enterprise into a data-driven one. The main thesis presented is that becoming data-driven is not merely a technological investment, it also requires a culture transformation program. The webinar provides an incredible amount of insights and lessons other data leaders can apply to their own organizations, specifically on how to operationalize data skill academies. This webinar requires no email-sign up and has an awesome array of visualizations, movie references, and examples embedded in the transcript.
No data insight is consumed without proper packaging and presentation. This is why data storytelling is shaping up to be the key competency that differentiates data teams that create impact, and teams whose work does not get adopted. In this webinar, ML Lead at Deloitte Gert de Geyter, and Data Scientist at Deloitte Bhavya Dwivedi, discuss the ins and outs of delivering a good data story with compelling visualizations and narrative techniques. This webinar requires no email-sign up and has an awesome array of visualizations, and case studies embedded in the transcript.
Data is unused if it’s not trustworthy, and data governance is the way to create organization-wide trust in data. In this webinar, Senior Data Scientist at Microsoft Aaren Stubberfield outlines how to build a data governance program within an organization, and the role data literacy plays when creating a common data language for successful data governance programs. This webinar requires no email-sign up and has a diverse array of visualizations, and case studies embedded in the transcript.
Not everyone needs to code in a data-driven organization, but that does not mean your people can’t tap into the massive array of data insights. In this webinar, Carl Rosseel, Senior Curriculum Manager at DataCamp outlines the role business intelligence plays in enabling data-driven decision making at scale. More specifically, he outlines how business analysts and data analysts are the backbones of data-driven organizations, and how BI like Tableau and Power BI tools supercharges their workflows. This webinar requires no email-sign up and has a diverse array of visualizations, dashboard examples in the transcript.
The scaling data science webinar series above does an excellent job of outlining the levers to grow when transforming into a data-driven organization. However, which lever should you prioritize and when? This is where data maturity comes in. Not all organizations are created equal and no organization is in the same spot on the data maturity spectrum. This is why in this webinar, we outline the different steps you should take in terms of infrastructure, people, tools, organization, and processes based on different maturity levels. This webinar requires no email-sign up and has a diverse array of visualizations, dashboard examples in the transcript.
For organizations to become data-driven, they need to raise their data literacy. In this panel discussion with learning and development leaders from Bloomberg and NatWest, we discuss how they’re raising their organization’s data literacy with targeted upskilling programs, and outline their best practices for building learning cultures.
Covid-19 proved the importance of monitoring models in production for data drift and ensuring scalable methods and pathways to reduce the time from experimentation to deployment. This is where MLOps come in. In this webinar, Noah Gift outlines the importance of MLOps and its growing importance for data teams across the board and showcases a simple workflow in AWS to deploy ML Models.
Healthcare is one of the most data-heavy industries out there, and this means that data science has massive potential to transform this space. Outside of providing healthcare organizations the ability to accelerate the value they deliver, and to deliver new ways to generate value for consumers, data science in healthcare has the potential to save hundreds of thousands of lives. This isn’t possible, however, without a data literate healthcare workforce. In this webinar, we outline how data science is transforming healthcare across pharma, patient care, insurance, and more. Then outline how organizations in this space can become more data literate.
Countries across the world are launching AI strategies with the aim of becoming leaders in the fourth industrial revolution. A key component of this is equipping the workforce of today with the skills needed to succeed tomorrow. In this fireside chat, we discuss with Laurence Liew, Director of AI Innovation at AI Singapore, and Koo Sengmeng, Senior Deputy Director at AI Innovation at AI Singapore, how they’ve launched a massive nationwide AI upskilling program that covers all strata of society.
Just like the private sector, government agencies can garner massive gains by democratizing data science. In this webinar, Senio Data Scientist at NSW Government Alex Scriven discusses how democratizing data access and skills, can enable government agencies to do more, faster, and with fewer resources.
Not all organizations are created equal and no organization is in the same spot on the data maturity spectrum. This is why in this white paper, we outline the different maturity stages organizations go through, and discuss the different steps you should take in terms of infrastructure, people, tools, organization, and processes based on different maturity levels.
Over the course of 70+ episodes, DataFramed has hosted industry thought leaders across the board covering data science in industry, creating data cultures, organizing data teams, creating impact, and much more. In this white paper, you’ll find distilled insights from our favorite episodes over the past year. You’ll hear from data startup CEOs, enterprise and government CDOs, data leaders on a wide range of topics.
L&D leaders are embarking on the greatest upskilling initiative in the past few decades. Data fluency is the most important skill organizations are looking to build in the coming years. In this white paper, we provide a no-jargon guide that outlines eight learner personas in data science and what they need to know, a description of all the tools data professionals need to know,