BI Analytics Bootcamp

Length: 16 minutes Learn how to analyze customer data to segment target audiences based on demographics, behavior, preferences, and more, so you can tailor campaigns and messaging. Plus, learn how to use Search Optimization to improve the performance of point lookup and substring queries in Snowflake.
Find out more about ThoughtSpot here

Speakers:
Sean Zinsmeister, SVP Product Management, ThoughtSpot
Keith Smith, Principal Partner Sales Engineer, Snowflake

Length: 15 minutes Evaluate the effectiveness of marketing campaigns by tracking key performance indicators (KPIs) such as click-through rates (CTR), conversion rates, return on investment (ROI), and customer acquisition costs via BI analytics. Plus, get a sneak peek into Snowpark, allowing developers to unlock the power of data using familiar programming languages.
Learn more about Domo here.

Speakers:
Braxton Fullenkamp, Principal Solutions Consultant, Domo
Keith Smith, Principal Partner Sales Engineer, Snowflake

Length: 20 minutes Determine the impact of various marketing channels and touchpoints on customer conversions to help allocate marketing budgets more effectively. Plus, learn about elastic multi-cluster compute and Query Acceleration Service in Snowflake, helping you optimize performance.
Learn more about Mode here.

Speakers:
Emily Ritter, VP Demand Generation, Mode
Keith Smith, Principal Partner Sales Engineer, Snowflake

Length: Report Our report, The Modern Marketing Data Stack 2023, identifies leaders and “ones to watch” across the 10 capabilities that compose today’s marketing data stack, and addresses the strategic imperatives that affect how they unify, analyze, and activate data to help boost revenue.

Length: 27 minutes Learn how to develop and maintain sales performance dashboards that provide real-time insights into sales metrics, and get a sneak peek into Dynamic Tables, which can be leveraged to prepare batch and streaming data for consumption by BI tools.
Learn more about Tableau and Snowflake's partnership here.

Speakers:
Madeline Lee, Product Manager, Salesforce
Chandra Nayak, Principal Partner Sales Engineer, Snowflake

Length: 24 minutes Make data-driven decisions that optimize operations, enhance customer experiences, and drive profitability. Learn how to use Direct Query Mode in Power BI—referenced in the demo—here.

Speakers:
Chris Webb, Principal Program Manager, Microsoft
Keith Smith, Principal Partner Sales Engineer, Snowflake

Length: 60 minutes In this on-demand webinar, hear from members of the Snowflake Sales Analytics team as they detail how Snowflake’s sales has evolved their analytics practices, from enabling descriptive analytics all the way to driving insights and prescribing actions.

You will hear from Snowflake’s Sales Analytics leaders CJ Liu and David Gojo and learn about: 

- Snowflake’s sales data ecosystem
- The architecture of our Sales Data Cloud
- Several Sales Data Cloud use cases including; business analytics (customer 360, forecasting, notification system) and data science (data enrichment, predictive modeling)

Length: 21 minutes Analyze general ledger data to perform financial analysis, such as calculating key financial metrics, assessing profitability, tracking expenses, and identifying trends in revenue and costs. Plus, learn how to use Row Access Policies and Dynamic Data Masking in Snowflake to protect your data at scale.
Learn more about Snowflake and Sigma's partnership here.

Speakers:
Rob Woolen, Co-Founder and CTO, Sigma
Bryan Lenker, Financial Services Field CTO, Snowflake
Keith Smith, Principal Partner Sales Engineer, Snowflake

Length: 60 minutes In this Snowflake on Snowflake on-demand webinar, learn how the Snowflake FP&A team uses the Snowflake Data Cloud to accurately attribute and understand our cloud costs, identify and react to trends, and predict future spend.

In particular, we will focus on the best practices from core functions, with a spotlight on:
- Billing and Usage Visibility
- Revenue Recognition
- Collections
- Effectively Managing Snowflake Spend

Length: 12 minutes Analyze user behavior and product usage data to understand how customers interact with your product, helping you identify areas for improvement, feature usage patterns, and potential pain points. Plus, learn about Snowflake's SQL Delight features, helping you write more concise and efficient queries, and driving more productivity in Snowflake.
Learn more about MicroStrategy here.

Speakers:
Saurabh Abhyankar, Chief Product Officer, MicroStrategy
Kayla Meacham, Associate Sales Engineer, MicroStrategy
Keith Smith, Principal Partner Sales Engineer, Snowflake

Length: 15 minutes Learn how analyzing data related to IT incidents and problems can help you identify patterns, root causes, and trends to improve incident response, reduce downtime, and enhance overall system stability. Plus, get a sneak peek into how to use Snowflake's single platform to query different data formats, like semi-structured data.
Learn more about Qlik here.

Speakers:
Dalton Ruer, Data Cathedral Architect, Qlik
Keith Smith, Principal Partner Sales Engineer, Snowflake

Length: 12 minutes How does Snowflake use its own technology to save millions of dollars a year by managing employee software licenses? The answer: By using an internally developed app that collects data on software usage on a near real-time basis.

Speakers:
Sunny Bedi, Chief Information & Data Officer

Length: 17 minutes A semantic layer sits on top of data sources and provides a simplified view of data for business users. Learn more about AtScale, and how it connects to Snowflake and BI tools, while helping non-technical users access and analyze data. Plus, get a sneak peek into ML-Powered Functions, familiar SQL functions with ML under-the-hood in Snowflake, helping you make better quality decisions, fast.
Learn more about AtScale here, and how it connects to Snowflake and BI tools, while helping non-technical users access and analyze data.

Speakers:
Dave Mariani, Chief Technology Officer, Founder AtScale
Keith Smith, Principal Partner Sales Engineer, Snowflake

Length: 11 minutes A semantic layer sits on top of data sources and provides a simplified view of data for business users. Learn how use Cube for your semantic layer needs, plus, get a sneak peak into Streamlit in Snowflake, which app builders can use as the UX framework for building Snowflake Native Apps.
Learn more about to use Cube here for your semantic layer needs.

Speakers:
Brian Bickell, Head of Partnerships, Cube
Tony Kau, Partner Solutions Architect, Cube
Keith Smith, Principal Partner Sales Engineer, Snowflake