DataDreamin September 2020

The first DataDreamin took place September 19th 2020 with an amazing line up of speakers and sessions. With different topics and level of sessions there was something for everyone to learn from. 

All sessions was recorded and is available on demand below or via the DataTribe YouTube channel.

Create Connected Experiences with Einstein Analytics & Google BigQuery​

Gaurav Kheterpal

Gaurav Kheterpal

CTO - MTX Group| Salesforce MVP| Certified Technical Instructor

This session talks about how you can create Connected Experiences for your customers with Einstein Analytics & Google BigQuery, and leverage the Einstein Analytics connector with BigQuery to enable smarter data preparation to accelerate the journey to actionable insights.

Data Visualization Approach & Best Practices

Jip Koning

Jip Koning

Senior Data & Analytics Consultant at Nextview Consulting

Luuk Martens

Luuk Martens

Practice Manager Data, Analytics & AI at Nextview

Creating dashboards or any data visualization starts with understanding the user’s information needs and a (basic) understanding of how to best present the user with that information. In this introduction, we look into some best practices in designing effective and engaging dashboards with Einstein Analytics.

Scaling a small and powerful data team!​

Alex Romano

Alex Romano

Zinc Partners Analytics Lead

Learn about how the Indianapolis Colts built a small and effective data team, helping their partnership team achieve their goal for the first time in four years! This session highlights their journey, evolution, inflection points, and mistakes to help others grow.

How FinancialForce is using Einstein Analytics to aid decision-making​

Matt Byrne

Matt Byrne

Analytics Champion

Einstein Analytics shouldn’t just be fancy dashboards waiting to be discovered, rather the dashboards and underlaying data should aid in decision-making. Watch this session to see how FinancialForce embedded data in their workflow, including using Einstein Analytics with Chatter to categorise and track COVID risk during the current pandemic. You will also hear how they utilise embedded analytics paired with time series to gain predictive insight into whether a project is in danger, and leave with a better understanding of how to use native functionality to aid any user in their business transaction to make better decisions.

Advanced Reporting Tips And Tricks For New Admins

Aaron Crear

Aaron Crear

Founder, Hat-Trick Consulting

Are you a new Admin struggling to create reports for your team? Do you spend way too much time racking your brain trying to get data to present properly? You’re not alone. Many beginner Admins spend hours trying to develop reports that should only take minutes to finish. This session will show real examples of advanced reporting features that will make your job easier and provide greater value to your users. The presentation will help you take your reporting game to the next level.

Animate Your Data in Einstein Analytics

Carl Brundage

Carl Brundage

Master Architect | CTA | MVP Odaseva

Are you looking to bring your data alive in Einstein Analytics by animating your dashboards?

Animations help highlight less obvious data patterns and key details. For example, visualizing changes over time, seasonal trends or progression towards goals.

With a little data prep and the Analytics SDK, you can automatically change your dashboard to tell a story.

Using Einstein AI to predict ‘Win-ability’

Shane Smyth

Shane Smyth

Horizontal - Practice Lead

One of the biggest challenges across every company is determining what to prioritize. Ultimately, we’re all looking to analyze qualitative and quantitative data to understand where we’re going to win. But what if you knew what was ‘win-able’ before even beginning to work on it? With Einstein AI, that’s no longer a pipe dream!

In this session, we’ll demo the Einstein ‘win-ability’ model we built for a staffing firm to predict and prioritize candidates and open jobs. 

Advanced Snapshotting Use Cases in Einstein Analytics - Best Practices and Tips

Gene James

Gene James

Data Analyst at SpringML

Robert Anderson

Robert Anderson

Director of Salesforce Delivery at SpringML

Einstein Analytics implementations often require snapshotting to capture and analyze changes in data over time.

Though the out of the box Snapshot Analytics app is a great starting point, it can lack some complexity that a lot of users require. This session covers the basics of the app, and important considerations for snapshotting use cases

From Requirements to Dataset - How to translate business requests in Einstein Analytics

Jennifer Shier (Wobser)

Jennifer Shier (Wobser)

Palo Alto Networks, Sr Einstein Analytics & Data Architect

Sayantani Mitra

Sayantani Mitra

Goby Inc., Sr. Data Scientist, All things Einstein Analytics

The most valuable skill a data person can perfect is how to translate data requests into data architecture. Join us as we show how to take an ambiguous Einstein Analytics request and turn it into an actionable dataset. Learn how to ask the right questions, check permissions, find Salesforce objects/fields, and build a dataset to meet expectations of even the pickiest executives.

We bought Einstein Analytics - Now what?

Kelsey Shannon

Kelsey Shannon

Einstein Analytics Manager @ Indeed

Einstein Analytics is an exciting technology, but knowing how to implement it can be a struggle. What skill sets do you need on the team? How do you structure the project management of the rollout? How do you maintain the product long term?

Join this session to learn how Indeed rolled out Einstein Analytics to 5,000 Sales and Client Success reps around the world. Topics for discussion include details of the pilot phase, proving Einstein’s worth to senior leadership, structure of the global implementation, and lessons learned. Also included will be tips on how Indeed structured the team and product management cycle to maintain Einstein Analytics long term.

SAQL for Beginners

Kristi Brown

Kristi Brown

Salesforce Architect

If you’re just starting out in the world of Einstein Analytics, then “SAQL” is a term you may hear fairly often. SAQL? You mean SOQL right? Nope, you heard it right! SAQL is the Salesforce Analytics Query Language, and while it is similar in many ways to SOQL (Salesforce Object Query Language) and even SQL (Structured Query Language), its different. And its powerful. And you need to learn it right now.

During this session, we walk through some basics of SAQL and share how Kristi learned (and is still learning) to use SAQL to transform the way we look at and use data.