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Treasure Data

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  • Why your VR game is virtually useless without data
    Why your VR game is virtually useless without data Kiyoto Tamura, VP Marketing, Treasure Data Recorded: Jul 19 2017 60 mins
    The reality is virtual, but successful VR games still require cold, hard data. For wildly popular games like Survios’ Raw Data, the first VR-exclusive game to reach #1 on Steam’s Global Top Sellers list, data and analytics are the key to success.

    And now online gaming companies have the full-stack analytics infrastructure and tools to measure every aspect of a virtual reality game and its ecosystem in real time. You can keep tabs on lag, which ruins a VR experience, improve gameplay and identify issues before they become showstoppers, and create fully personalized, completely immersive experiences that blow minds and boost adoption, and more. All with the right tools.

    Make success a reality: Register now for our latest interactive VB Live event, where we’ll tap top experts in the industry to share insights into turning data into winning VR games.

    Attendees will:
    * Understand the role of VR in online gaming
    * Find out how VR company Survios successfully leverages the Exostatic analytics infrastructure for commercial and gaming success
    * Discover how to deploy full-stack analytics infrastructure and tools

    Nicolas Nadeau, President, Exostatic
    Kiyoto Tamura, VP Marketing, Treasure Data
    Ben Solganik, Producer, Survios
    Stewart Rogers, Director of Marketing Technology, VentureBeat
    Wendy Schuchart, Moderator, VentureBeat

    Sponsored by Treasure Data
  • Transforming Your Digital Advertising With the Power of First Party Data
    Transforming Your Digital Advertising With the Power of First Party Data Lakshmi Ramesh, Director of Digital Marketing at Treasure Data Recorded: Jun 15 2017 26 mins
    Data Management Platforms (DMPs) have helped marketers improve digital advertising in the last 10 years by providing easy access to 3rd party global audience segments, but smart marketers have realized that this isn’t enough.

    Modern marketers are now looking for ways to incorporate 1st party data into their entire marketing strategy but the problem is that this data is frequently siloed and challenging to access/analyze fast enough to keep up with market demands.

    The solution is a Customer Data Platform (CDP) which is a new system - recently recognized by Gartner - that works in harmony with existing marketing technology to connect internal 1st party data, with external 2nd or 3rd party data.

    Join us for our webinar and you will learn:

    - How to leverage your most valuable asset - 1st party data - to maximize your programmatic advertising impact.
    - The common pitfalls of working only with 2nd and 3rd party data
    - Gain a deep understanding why it’s crucial to unify 1st party data for holistic customer insights as well as activation.
    - Why a Customer Data Platform is essential to integrate 1st party data with your Data Management Platform.
  • Accelerating Business Operations with Live Data Management
    Accelerating Business Operations with Live Data Management Trae Wallace - Director of Business Operations Kapost Recorded: May 18 2017 23 mins
    Kapost knows better than anyone that non-data-driven companies are being left behind: their content marketing system is used by Fortune 50 companies to align resources and accelerate sales and marketing growth.

    However, when it came to internal analytics, Kapost ran into the same obstacle many companies encounter: they used multiple SaaS applications - each with its own, siloed, data-set - and creating a real-time, full-funnel view of their business operations was too resource intensive.

    In this webinar, you’ll learn how Kapost overcame this challenge, centralized their data across multiple databases and SaaS tools - with no engineering required - while still satisfying the security and access requirements of different teams.

    Key Takeaways:

    1. How to unify data from popular business systems like Salesforce, Marketo, Mixpanel, Intercom and more
    2. How to democratize data access while still securing sensitive information to specific teams / people
    3. How their new Live Data Management platform allowed them to quickly set up and ingest data from new sources without engineering help


    Trae Wallace - Director of Business Operations, Kapost - Trae is strategy/operations/data guy who likes to solve interesting problems generally involving technology and fast-growing companies. He currently guides the core strategy of Kapost through analysis and working with teams across the organization.
  • How To Create A 365 Fan View
    How To Create A 365 Fan View Clive Pearson & Kevin Dillon - Qualex, John Morris - New York Mets, Brandon Ramsey - Golden State Warriors Recorded: May 17 2017 43 mins
    What do our clients like Major League Soccer, The Mets, and The Boston Bruins do differently?

    They use the innovative Predictive Analytics platform created by SportVizion backed by Treasure Data. An easy-to-deploy platform that allows them to have deeper understanding of their customer and increase their Fan experience.

    In this webinar you’ll learn how to drive marketing ROI with targeted campaigns from enriched customer data including CRM, point of sale machines, eCommerce sites, supply chain data, live ticket sales, Social Media and MORE for a real-time 365° view of what your fans and customers are doing.

    The expert speakers will share their insights and proven solutions for NFL, NHL, NBA and MLS franchises.

    Who should attend?
    Franchise leaders who want to get actionable data insights at their fingertips.
    Marketing teams who want to leverage better customer data.
    Sales representatives who want to be armed with real-time customer information
    Sports Analysts who want to get a complete picture of the playing field.
  • Multi-Touch Attribution in the age of AI
    Multi-Touch Attribution in the age of AI Glenn Davis, Product Marketing, Treasure Data Recorded: Apr 6 2017 46 mins
    Ordinary attribution metrics tell us next to nothing about what parts of the customer journey are more likely to influence a customer to make a purchase.

    The holy grail of marketing, true multi-touch attribution modeling, has remained frustratingly out of reach. The best marketers could hope for were difficult-to-parse proxies like linear attribution and time decay attribution.

    But now, in the age of AI, we can finally achieve the real thing—probabilistic attribution modeling. In this webinar, we will tell you how true multi-touch attribution can let you:

    - Turbocharge ROI across all your marketing channels
    - Grow your funnel with one-to-one marketing to customers most likely to buy
    - Predict the customers most likely to buy, and increase per-purchase spend
  • How machine learning and AI will impact your marketing forever
    How machine learning and AI will impact your marketing forever Stewart Rogers, Dir. of Marketing Technology, VentureBeat Recorded: Mar 16 2017 60 mins
    Nearly $1.5 billion in funding went into over 200 AI companies in 2016, ads powered by IBM’s Watson tech lets users ask questions about the promoted product via voice or text, Google’s RankBrain is changing the business of SEO, and they’ve just announced not only a new range of machine learning APIs, products and upgrades, but a whole new Cloud Machine Learning group.

    Let’s call it: It’s honest-to-god paradigm shift, not just an excuse for another round of “open the pod bay doors, HAL” jokes—and it’s one that’s going to inevitably, unavoidably revolutionize marketing to the extent that if you’re not on board, you are going to be buried.

    Want to disrupt instead of be disrupted? To learn how to leverage machine learning and artificial intelligence to deliver highly personalized, real-time consumer engagement at a significantly lower cost? Join this interactive VB Live event.

    In this webinar you’ll:
    * Learn how speech recognition impacts the SEO value on your web presence
    * Understand the full ROI of fully automated chat bots for artificial human interaction
    * Integrate deep learning into your marketing strategy to realize unbelievable lift

    * Stewart Rogers, Director of Marketing Technology, VentureBeat
    * Keith Johnson, EVP Strategic Data Solutions, Wunderman
    * Terrilyn Tourangeau, Director of Loyalty Marketing, Choice Hotels
    * Jim D'Arcangelo, VP of Marketing, WhenIWork
    * Wendy Schuchart, Moderator, VentureBeat

    Sponsored by TreasureData
  • The Magic of Presto: Petabyte Scale SQL Queries in Seconds
    The Magic of Presto: Petabyte Scale SQL Queries in Seconds Kamil Bajda-Pawlikowski, Chief Architect, Teradata Center for Hadoop & John Hammink, Evangelist at Treasure Data Recorded: Mar 15 2017 32 mins
    Presto is an open source distributed SQL engine, originally developed by Facebook for their massive Hadoop data warehouse. Treasure Data was one of the earliest adopters of Presto and, earlier this year, Teradata has joined the Presto community and announced a multi-year roadmap to accelerate Presto development to make it ready for enterprise users. This webinar will cover Presto architecture and discuss the technology behind the project.
  • How To Create The Ultimate Live Marketing Dashboard
    How To Create The Ultimate Live Marketing Dashboard Jennifer Hudiono, Product Specialist at Chartio & Glenn Davis, Product Marketing Manager Recorded: Feb 28 2017 35 mins
    Treasure Data and Chartio have come together to make your data connected, real-time and easily accessible.

    In this webinar we'll discuss:
    - Common challenges of siloed data sets and appropriate solutions
    - How to build a master dashboard for your Marketing data
    - How to use Treasure Data and Chartio’s new connector to enhance the relevance of your data.

    Analysts will learn about tools to combine and automate complex workflows to get new insights faster.

    Business leaders will learn about how Live Data will give them a competitive edge with a 360 degree view of all business data.

    Engineers will learn how they can abstract mundane / routine data access requests to focus on building apps that support the business.
  • How Treasure Data Helps Grindr Track & Analyze More Than 1.8M API Calls Per Min
    How Treasure Data Helps Grindr Track & Analyze More Than 1.8M API Calls Per Min Lukas Sliwka, CTO at Grindr Recorded: Feb 23 2017 43 mins
    Collecting and analyzing event data can easily drain time and engineering resources. The problem gets more complex as your data sources scale and the need to analyze and make sense of the data becomes more urgent. Grindr, a leading mobile dating app used by 2,000,000 daily active users in 196 countries, overcame a series of data collection and analytics challenges while making both development and business teams happy.

    In this webinar, you will learn:
    - How running multiple analytic SDKs can crash your app and kill your business’s competitiveness.
    - How to setup a modular data collection infrastructure with a minimal amount of engineering resources.
    - How to enable your business units to use the analytics tools that they love while collecting, storing, and owning your own data.

    Speaker: Lukas Sliwka, CTO at Grindr. Lukas is responsible for creating highly effective and innovative engineering organization. He is the catalyst for the team’s agile transformation while leading the effort to completely redesign Grindr’s global services and mobile client architectures. Lukas evolved Grindr to a highly personalized experience to more than 2,000,000 million daily active users across 196 countries. Follow him @LukasRepublic
  • Data Stack Considerations - Build vs Buy at Tout
    Data Stack Considerations - Build vs Buy at Tout Ming Liu, David Banker, Jad DeFanti from Tout, Erin Franz from Looker, and John Hammink from Treasure Data Recorded: Jan 12 2017 44 mins
    Build vs buy - It’s a common dilemma in a world of seemingly endless engineering talent and an abundance of SaaS products. Many companies start by building but quickly realize that maintenance costs and engineering hours can quickly cause budgets and project-time lines to spiral out of control.

    Tout, a video app platform that allows users to upload content directly to their sites, found themselves facing this exact dilemma after building their own analytics infrastructure and using it in conjunction with a BI tool. After three years of heavy growth and feature expansion, their analytics stack could no longer keep up with the demands and costs were through the roof.

    Tout decided it was time to invest in a new solution and turned to Treasure Data for their analytical infrastructure and Looker for Analytics and is now reaping the rewards.

    What will you learn?

    - The pitfalls of building (and maintaining) in-house solutions
    - How Treasure Data simplifies data pipelines for effective data lifecycle management
    - How Looker let Tout give every employee access to the data they needed when they needed it
    - Actionable criteria for deciding when to buy vs. build analytics infrastructure

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