Are you struggling to increase the value from your digital analytics technologies? Join this session to hear practical strategies (stolen from other disciplines) for moving your digital analytics technology team out from the garage and onto center stage.
In this session, Adam Greco from Analytics Demystified will share why analytics data enrichment is so important and what it means. In addition, Adam will also discuss when meta-data should and should not be used. Lastly, the session will review the most common uses of data enrichment and share some of the more advanced data enrichment use cases.
Jim takes a hype-free look at AI and machine learning. Specifically, he addresses how marketing tech will change, how the role of the analyst will change, and how marketing itself will be disrupted. Learn what this new stuff is really all about and how companies are already using it.
It’s time to look beyond First and Last touch attribution. Join this session to get a better understanding of the new attribution models available in Adobe Analytics, how to use them as well as the tips and tricks that you won’t find anywhere else.
Data quality standards are easier discussed than enforced. In this webinar, Rick walks through the steps GSK took to implement a data governance program that spanned various marketing channels and teams, resulting in increased marketing effectiveness and ROI. Elements include key strategies to consider, how to overcome likely roadblocks, and how to enable automated processes.
Giving and receiving feedback during our data presentations is an integral part of our jobs. And yet, that experience can really suck: harsh criticism can quickly take well-intentioned feedback from “constructive” to “destructive” in no time. Learn Lea’s simple 6-step A.S.S.E.S.S method for giving constructive feedback based in Non-Violent Communication that will make your colleagues WANT to hear and use your valuable feedback.
Learn how to infuse analytics into your content strategy, from how to build data-driven personas and which tech to consider, to utilizing effective keyword research. In addition, hear examples of how to test and iterate to ensure you are driving continuous improvement.
This session will highlight examples of how data is prepped for ML, consider some of the challenges involved in moving to supervised learning techniques, explore using a cloud-based ML Studio to build and test models, and provide a taste of how to productionize models. The intent is to provide a deeper and better experience-based understanding of how ML is likely to impact the analytics you do and the enterprise processes you need.
Learn the keys to building a data infrastructure that fits the needs of your organization. In this high-level overview, Prolet walks through the trade-offs, technology options, and considerations to deploying a “best-for-you” data infrastructure, from collection to activation.
The purpose of analytics is to systematically drive continuous improvement via effective business decision-making. In this session, Alex explains why KPIs need to serve as the backbone of your analytics practice and shares how to identify the right KPIs and embed them into your core business processes.
Machine learning (ML) is all the rage, offering vast potential in all areas of your business. Unfortunately, bad data stands in the way. In this presentation, Tom summarizes the problem and shares six prescriptions to help organizations get in front of the data quality issues that plague ML.
Juggling multiple websites at once and struggling to remember where each one stands on the analytics ladder? Learn how to balance priorities, capture strategies to consider, and receive a free analytics standardization template.
Companies collect all kinds of data and use advanced tools and techniques to find insights, but they often fail in the last mile: communicating insights effectively to drive change. Brent Dykes discusses the power that stories wield over statistics and explores the art and science of data storytelling—an essential skill in today’s data economy.
Analysts these days are getting pulled in so many directions that they need to be armed with every possible technique to save time. Learn the best ways to make the most of every minute that you spend in Analysis Workspace.
Building a holistic view of your business is critical to determine how different channels and functions can work together to support an overall business goal. Watch this presentation to learn examples of business processes, software, and analytical methodologies that can be leveraged to improve customer satisfaction and the bottom line.
Devising a robust data strategy is key to successful digital transformation and the transition of your organization into the new era. In this presentation, Jaisri details the core elements to a holistic, data strategy built for global, complex organizations.
The customer journey has totally changed — forever. It’s not about marketing in silos, because your customer is now taking control of the channels and messages they engage with, creating their own unique and personalized experiences. The future of marketing must deliver impactful interactions that deliver a clear brand purpose and narrative. Attend this session to learn how to put your consumers at the center of your digital strategy with data that tells a cohesive story across channels.
Learn how leading companies create structure and process to support clean and complete Adobe Analytics classification data. More than just a technical effort, this involves a great communication strategy among teams, a structured rollout, and a long-term view of maintenance efforts. Come away with actions you can take at your own company to improve the accuracy and timeliness of your classification data.
Codeless AI is being applied right now by marketers to real-world marketing use-cases. In this session, learn how to apply codeless AI to become the clairvoyant force on your marketing team, spotting trends and making moves before others know what happened. Also, find out how one of the world’s largest media companies is applying Squark’s codeless AI to create marketing value.
Codeless AI is being applied right now, by marketers, to real-world marketing use-cases. In this session learn how to apply codeless AI to become the clairvoyant force on your marketing team, spotting trends and making moves before others know what happened. Also, find out how one of the world’s largest media companies is applying Squark’s codeless AI to create marketing value.
Interested in attending the Digital Analytics Hub? Want to learn more about the topics and format of the conference? Join Amy Sample (PBS), Rusty Rahmer (Vanguard) and Gary Angel for a preview and discussion about their respective huddles.
– Gary Angel – Building ML into your Analytics Process
– Amy Sample – Women in Analytics
– Rusty Rahmer – Digital Analytics Team Organizational Model Best Practices
They will also share their conference experiences and why the DA Hub is their must attend every year.