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Periscope Data

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  • How Kongregate is Making Their Data Pipeline Accessible and Extensible
    How Kongregate is Making Their Data Pipeline Accessible and Extensible
    Tammy Levy, VP of Insights and Analytics at Kongregate Recorded: Jan 31 2019 42 mins
    Building out the infrastructure for a data pipeline takes time, patience, and focus. And even after you have a system in place, new data sources, business goals, product releases, etc. can make it hard to sustain this infrastructure and difficult to spin up new dashboards and charts to visualize and analyze the data. Unless you work at Kongregate.

    Join our webinar on January 31st at 11 a.m. PT to hear Tammy Levy, VP of Insights and Analytics, discuss how Kongregate is using analytics to not only provide embedded analytics to developers that use their platform, but take it a step further and are able to easily and efficiently measure KPI’s across their portfolio of games they publish.

    In this webinar, Tammy will discuss:
    - What sort of embedded analytics they share
    - How they providing higher quality content to end users
    - What game behavior they track to get more insights out of their games
    - How they were able to standardize their naming schema to allow them to track KPIs
    - How their setup allows them to replicate dashboards nearly instantly
  • One Dashboard to Rule Them All: The Business Impact
    One Dashboard to Rule Them All: The Business Impact
    Greg Strickland, COO at Periscope Data Recorded: Jan 29 2019 32 mins
    Ever wondered how Periscope Data actually uses Periscope? In this webinar, you'll get a behind the scenes look at the dashboard our executive team uses to report on all our top level KPIs. Combining data from all business units here at Periscope Data, it provides us a concise view of our single source of truth - the one dashboard to rule them all.

    Attend this webinar to hear directly from Greg Strickland, COO at Periscope Data, to learn how he:
    - Templatizes his dashboard requests to our Data team for quicker work
    - Uses data from all departments to inform the entire company
    - Partners with Data on larger strategic projects
    - And learn his #1 most important tip for visualizing data across teams
  • Hustle for the Win: Analytics for Political Campaign Success
    Hustle for the Win: Analytics for Political Campaign Success
    Joe Gallagher, Director of Data Science at Hustle and Erica Pearson, CSM at Periscope Data Recorded: Dec 6 2018 48 mins
    Many organizations use data to improve, however many sectors (including the political campaign space) have a much harder time capturing and analyzing data. Hustle is a texting tool that empowers organizations to have personal, human-to-human conversations at scale. Hustle has not only been able to leverage data to improve product experience, but has gone a step further to provide unique analytics opportunities for their customers.

    Join our webinar on Thursday, December 6 at 11 a.m. PT to hear Joe Gallagher, Director of Data Science at Hustle, discuss how Hustle is using analytics to empower organizations to engage their users and achieve desired actions.

    In this webinar, Joe will discuss:
    - What data challenges Hustle faces
    - How Hustle helps their customers track campaign performance against goals
    - How embedding analytics added value for Hustle’s customers
    - How Hustle uses data to improve product performance and customer outcomes
  • The Next Phase of Git and Periscope Data
    The Next Phase of Git and Periscope Data
    Mike Kimelblat, Senior Product Manager Periscope Data Recorded: Nov 20 2018 24 mins
    With the release of our Git integration, teams using Periscope Data will have complete control over their analytics environment. This integration gives data teams a sophisticated version control system, release management workflows and file-level access to all user-generated content.

    What makes this integration unique is that data teams will be able to sync all user-generated content (including charts, dashboards, views and snippets), as well as edit, create and delete content through Git. It also works with any Git repository that your team uses as part of your workflow, including your own internal Git server. However your team creates, reviews and deploys code, this integration supercharges your analytics workflow.

    In this webinar, Periscope Data’s senior product manager Mike Kimelblat will discuss the use cases for Periscope's Git integration and explain how data teams can benefit from it.. He’ll even demo how a team can sync and edit Periscope Data’s charts and dashboards from your Git repository.
  • One Dashboard to Rule Them All: The Technical Evolution
    One Dashboard to Rule Them All: The Technical Evolution
    Christine Quan and Caitlan Yu, solutions engineers at Periscope Data Recorded: Nov 13 2018 16 mins
    In a more aggressive competitive landscape than ever, data analysis is proving to be the key differentiator between winners and losers. But simply collecting information is not enough to get ahead; companies have to be able to blend data and build effective visualizations in order to optimize their business intelligence.

    To create a dashboard that can be used as single source of truth, there are many steps that need to be taken. Join Christine Quan and Caitlan Yu, two solutions engineers at Periscope Data, as they discuss the process to create this common data resource, such as:

    - Nurturing cross-team partnerships between chart creators and consumers
    - Sharing knowledge of data sources and connecting them to business value
    - Choosing the right chart type for an insight
    - Building advanced charts in R and Python

    This is part one of a two-part “One Dashboard to Rule Them All” webinar series. Make sure you keep an eye out for the companion webinar, “One Dashboard to Rule Them All: The Business Impact,” presented by Greg Strickland, COO at Periscope Data.
  • Citizen Data Science Series - Selecting the Right Chart for What You Are Showing
    Citizen Data Science Series - Selecting the Right Chart for What You Are Showing
    Britton Stamper, Sales Engineer at Periscope Data Recorded: Oct 30 2018 30 mins
    Once you’ve done analysis and found insights in your data, determining the right visualization is crucial to telling the right story. Even if you’ve done the work of selecting the right dataset, asking the right initial question, following up with the right additional queries and using your personal expertise to pinpoint valuable information, all of that analytical work loses value if the charting process is not done correctly.

    Choosing the right chart doesn’t need to be intimidating. Similar to data exploration, you just need to ask a series of straightforward questions.

    Join Britton Stamper, sales engineer at Periscope Data, when he addresses:
    - The first question to ask when building a data visualization
    - The different types of data relationships
    - When to use each type of chart
    - What variables to be aware of when building your chart

    This is the third webinar in our “Citizen Data Science Empowerment” series. The first webinar “Getting Started with Citizen Data Scientists” covered the importance of citizen data scientists, how to get them enabled and how to empower them. The second webinar, “How to Do Data Right,” covered the importance of making sure that you are doing your due diligence when evaluating the data to visualize.
  • A Tactical Approach to Debugging Queries
    A Tactical Approach to Debugging Queries
    Charlotte Campbell, Senior Customer Solutions Engineer Recorded: Oct 25 2018 40 mins
    For some people, learning a new coding language is easy. For others, the process involves stumbling through a series of individual error messages. When that language has at least 7 major dialects with unique error messaging formats, things get even more confusing. The ability to break down code, understand errors, read documentation and re-write queries are valuable skills all coders and analysts should have. Luckily, there are some tips and tricks to make it easier.

    To enhance the learning process, Charlotte Campbell, senior customer solutions engineer and resident debugger at Periscope Data, has put together a collection of advice to help first-time coders write SQL that runs smoothly.

    Join Charlotte on October 25th, 2018 at 10 a.m. PDT as she walks through how to:
    - Understand differences in SQL database syntax
    - Interpret error messages properly
    - Format your code for easy reading and debugging
    - Trace through long code to locate an error without error line numbers
  • [Ep.1] What's Big in BI: An Ethical Foundation for the AI-Driven Future
    [Ep.1] What's Big in BI: An Ethical Foundation for the AI-Driven Future
    Harry Glaser, Co-founder and CEO of Periscope Data and Erin Junio, Content Manager at BrightTALK Recorded: Oct 23 2018 47 mins
    This webinar is part of BrightTALK's What's Big in BI series.

    What is the moral responsibility of a data team today? As artificial intelligence and machine learning technologies become part of our everyday life and as data and big data insights become accessible to everyone, CDOs and data teams are taking on a very important moral role as the conscience of the corporation.

    In this episode of What's Big in BI, Harry Glaser highlights the risks companies will face if they don't empower data teams to lead the way for ethical data use across a variety of functions including business intelligence, analytics, big data initiatives and more.

    Harry founded Periscope Data in 2012 with co-founder Tom O’Neill. The two have grown Periscope Data to serve more than 1000 customers. Glaser was previously at Google, and graduated from the University of Rochester with a bachelor’s degree in computer science.
  • More Than Just a Query: Using R/Python to Get More Out of SQL Outputs
    More Than Just a Query: Using R/Python to Get More Out of SQL Outputs
    Neha Kumar, Customer Solutions Engineer at Periscope Data Recorded: Oct 17 2018 53 mins
    As companies become more data driven, it’s not enough to deliver the same standard SQL queries. Instead, data teams today are transforming SQL results into models to deliver more value to their businesses. But making that jump is tough, it’s hard to determine where to get started in the complex field of modeling and regression analysis.

    The Periscope Data community has been buzzing with requests to demystify Python and R modeling so data professionals can boost their skill set. Get started by creating a linear regression model with Neha Kumar, a customer solutions engineer at Periscope Data, and start bringing new analytics value to your business immediately.

    Join Neha on Wednesday, October 17th, 2018 at 11 a.m. PDT as she walks through:
    - What a linear regression is and when to use it
    - Setting up the framework for a linear regression
    - Step-by-step creation of a linear regression model in Python and R
    - Contextualizing a model for other business teams

    Link to the raw data file - https://community.periscopedata.com/t/h42dp1
  • Marketing Analytics: How a Data Company Manages Marketing Data
    Marketing Analytics: How a Data Company Manages Marketing Data
    Fraser Harris, Head of Product at Fivetran, Ryan Segar, Head of Sales Engineering & Brenna Robinson, Head of Growth Marketing Recorded: Oct 3 2018 30 mins
    Marketing is increasingly becoming a data-driven function — tracking more activity than ever before — but how can you make sense of it all? What tools do you need? What roles do the marketer and the analyst or technical partner play?

    Follow along with Head of Product at Fivetran, and Periscope Data’s Head of Growth Marketing and Head of Sales Engineering to get a full picture of how a data company handles marketing metrics — from the perspective of both the data analyst and the marketing professional.

    This webinar will cover:
    - Setting objectives and goals for marketing analytics
    - Tying together disparate marketing data sources
    - Some best practice dashboards Periscope uses
    - How analytics and marketing should work together — and how analysts can enable marketers to explore their own datasets

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