Managing and analyzing data to inform business decisions
Subscribe to this channel to learn best practices and emerging trends in a variety of topics including exploring and visualizing data, building dashboards, sharing, importing, and embedding your company's data.
Daniel de Sybel, CTO, Infectious Media, Karol Ussher, Partnerships, Google Cloud, Zev Lebowitz, Sales Engineer, Looker
Infectious Media runs on data. But, as an ad-tech company that records hundreds of thousands of web events per second, they have to deal with data at a scale not seen by most companies. You can not make decisions with data when people need to write manual SQL only for queries take 10-20 minutes to return. Infectious Media made the switch to Google BigQuery and Looker and now every member of every team can get the data they need in seconds.
Infectious Media will share:
- Why they chose their current stack
- Why faster data means happier customers
- Advantages and practical implications of storing and processing that much data
By analyzing a cohort, you can discern patterns across the customer journey and answer any number of questions — which marketing channels delivered the highest-value customers? At what point do users stop engaging? Where is fraud coming from and how do we shut it down?
In this webinar, Looker and Avant discuss the value of cohort analysis, tips and tricks to get the most out of it and specific examples of cohort analyses done by Avant.
Some topics covered:
-How Avant used cohort analysis to identify and optimize their key acquisition channels
-How Avant identified sophisticated fraud rings by cohorting applications by banking and network data
-Best practices for using cohort analysis to bubble-up insights
-How to identify where cohort analysis could help your business
If your company is like many others, you have embraced Salesforce.com (SFDC) as your CRM tool. You can’t live without it. All your lead and customer information, in one handy place. But...How does your current pipeline compare to this time last year? Last qtr? Which of your field reps are demonstrating the greatest success, and in what areas? You have become painfully aware of the limitations of one of your most important data sources.
Rich Taylor, Looker’s Senior Director of Operations & Marketing (and a long time SFDC user), chats with Kevin Marr, Senior Looker Data Analyst discussing the ways we, as well as our customers, use Looker to get the most out of data captured by SFDC.
Better ways to leverage your SFDC Data with Looker:
- Snapshots of pipeline: Develop a clear understanding of the business, trends over time, and pipeline vs. target analysis.
- Conversion Rates: view them at each step of the sales funnel, and compare them across teams, individuals, and timeframes.
- Identifying trends: Project the probability of pipeline closing over time.
- Rep Specific Dashboards: Compare a single rep to team and the entire sales org on multiple factors, including customer health for improved and proactive customer retention.
The focus of modern business intelligence has been self-service; pushing data into the hands of end users more quickly with more accessible user interfaces so they can get answers fast and on their own. This has helped alleviate a major BI pain point: centralized, IT-dominated solutions have been too slow and too brittle to serve the business.
What has been masked is a lack of innovation in data modeling. Data modeling is a huge, valuable component of BI that has been largely neglected. In this webinar, we discuss Looker’s novel approach to data modeling and how it powers a data exploration environment with unprecedented depth and agility.
Topics covered include:
-A new architecture beyond direct connect
-Language-based, git-integrated data modeling
-Abstractions that make SQL more powerful and more efficient