May 19 - 20, 2014
Grand Hyatt Union Square, San Francisco, CA

Using data to ignite growth

Amid all of the hype around “big data,” lots of people are starting to doubt whether there’s any evidence that it’s more than just that — hype.

So for this year’s DataBeat event, we set out to find proof of companies that are successfully harnessing and analyzing their data to get real results: to achieve more revenue and/or reduce costs.

We’ve got over 70 data visionaries bringing new case studies, insights, and strategies designed to help you leverage big data and smart analytics tools to increase profitability for your company.

Speakers

Riley Newman

Riley Newman

Airbnb

Tom Davenport

Tom Davenport

Big Data @ Work

Jim Baer

Jim Baer

LinkedIn

Peter Skomoroch

Peter Skomoroch

Data Collective

Max Schireson

Max Schireson

MongoDB

Paul Cheesbrough

Paul Cheesbrough

News Corp.

Sean Gourley

Sean Gourley

Quid

Adam Evans

Adam Evans

RelateIQ

Ellie Fields

Ellie Fields

Tableau Software

Rob High

Rob High

IBM

Simon Zhang

Simon Zhang

LinkedIn

David Glueck

David Glueck

Bonobos

Suresh Khanna

Suresh Khanna

AdRoll

Graham Tackley

Graham Tackley

Guardian News and Media

David Thompson

David Thompson

Western Union

Steve Hirsch

Steve Hirsch

NYSE Euronext

Mona M. Vernon

Mona M. Vernon

Thomson Reuters

Bruno Aziza

Bruno Aziza

Alpine Data Labs

Ramona Pierson

Ramona Pierson

Declara

Sharmila Shahani-Mulligan

Sharmila Shahani-Mulligan

ClearStory Data

John Carter

John Carter

Charles Schwab

Mark Torrance

Mark Torrance

Rocket Fuel

Vikram Somaya

Vikram Somaya

The Weather Company

Michael Stonebraker

Michael Stonebraker

MIT CSAIL

Andy Palmer

Andy Palmer

Tamr

Anna S. Gordon

Anna S. Gordon

Mindjet

Eldad Farkash

Eldad Farkash

SiSense

Dan Buczaczer

Dan Buczaczer

VivaKi

Jake Flomenberg

Jake Flomenberg

Accel Partners

Frank Bien

Frank Bien

Looker

Raymie Stata

Raymie Stata

Altiscale

Derek Steer

Derek Steer

Mode Analytics

Robert Siegel

Robert Siegel

XSeed Capital

Satya Ramachandran

Satya Ramachandran

MarketShare

Scott Raney

Scott Raney

Redpoint Ventures

Matt Ocko

Matt Ocko

Data Collective Venture Capital

Aber Whitcomb

Aber Whitcomb

Social Gaming Network

Ron Kasabian

Ron Kasabian

Intel

Michael Driscoll

Michael Driscoll

MetaMarkets

Sylvain Le Borgne

Sylvain Le Borgne

Havas Media

Joe Hellerstein

Joe Hellerstein

Trifacta

Stefan Groschupf

Stefan Groschupf

Datameer

Michael Cavaretta

Michael Cavaretta

Ford Motor Company

Derek C. Slater

Derek C. Slater

FierceMarkets

Vik Singh

Vik Singh

Infer

Mark Gorenberg

Mark Gorenberg

Zetta Venture Partners

Jerry Held

Jerry Held

Tamr

Todd Rumberger

Todd Rumberger

Foley & Lardner LLP

Mike Dauber

Mike Dauber

Battery Ventures

Guido Schroeder

Guido Schroeder

Splunk Inc

Amanda Kahlow

Amanda Kahlow

6Sense

Arun C. Murthy

Arun C. Murthy

Hortonworks

Elizabeth Dwoskin

Elizabeth Dwoskin

The Wall Street Journal

Michael Metz

Michael Metz

Juniper, Adobe, Cadence

Gunnar Carlsson

Gunnar Carlsson

Ayasdi

Ion Stoica

Ion Stoica

Databricks

Dharmesh Thakker

Dharmesh Thakker

Intel Capital

Chris Neumann

Chris Neumann

Datahero, Inc.

Vijay Subramanian

Vijay Subramanian

Rent The Runway

Jay Kreps

Jay Kreps

LinkedIn Corporation

Veerle De Lombarde

Veerle De Lombarde

The Exchange Lab

Ashu Garg

Ashu Garg

Foundation Capital

Dan Scholnick

Dan Scholnick

Trinity Ventures

Peter Reinhart

Peter Reinhart

Segment.io

Rajeev Batra

Rajeev Batra

Mayfield Fund

Susan Neal

Susan Neal

The Men's Wearhouse

Charles Zedlewski

Charles Zedlewski

Cloudera

Charles Beeler

Charles Beeler

Icon Venture Partners

Eva Ho

Eva Ho

Susa Ventures

Brian Gleason

Brian Gleason

Xaxis

Oren Falkowitz

Oren Falkowitz

Area 1 Security

Andrew Sutherland

Andrew Sutherland

Quizlet

Patrick Lightbody

Patrick Lightbody

New Relic

Shivon Zilis

Shivon Zilis

Bloomberg Beta

Derek C. Slater

Derek C. Slater

FierceMarkets

Roger Magoulas

Roger Magoulas

O'Reilly Media

André Pimentel

André Pimentel

Demandforce

Rob Christensen

Rob Christensen

InsideSales.com

Chris Taylor

Chris Taylor

TIBCO Software

Chris Chapo

Chris Chapo

Intuit

Neal Richter

Neal Richter

Rubicon Project

Jie Li

Jie Li

Pinterest

Apply to be a Speaker!

"A great event. DataBeat bridges the gap between business and IT and offers real insights on the latest big data solutions."

-Bruno Aziza, CMO, Alpine Data Labs

Program

Here’s what we’ll be focusing on:

Building a data-driven culture of accountability

Until recently, only the most tech-savvy software companies relied on data to drive decisions, adapt products, and improve operations. Falling prices and more mature big data and other analytics products now make it a necessity for companies of all sizes and industries to adopt a similar culture. Planning for change isn’t sufficient anymore. Businesses must evolve fast enough or face losing to more nimble competitors.

  • Learn the steps to start simple in order to create a sustainable data culture in your company.
  • Identify the right metrics to track across your operations, marketing, and sales and how to incentivize teams to use them.
  • Start measuring and then predicting — remove human bias from all parts of your organization.
  • Discover the tools and practices to leverage data without the need for dedicated data science teams.
Predictive models and analytics: From reactive to proactive

It is simpler than ever to track previous patterns and to then predict outcomes in the future. Question is, how do you proactively influence those outcomes to your advantage? This could be to influence a customer’s journey from discovery to purchase or reduce costs of known routine internal processes. Better yet, how do you evolve these decisions based on the feedback you get from analytics? Enter the age of proactive analytics.

  • Discover examples where predictive modeling saves thousands of worker hours and dollars: fraud detection, conversion optimization, cuts of maintenance costs, or risk management. …
  • As these models get built, how you refine and reuse them in other parts of your organization, accelerating agility?
  • Learn how predictive models can then help uncover new business opportunities.
Creating the right dashboard of data: You’ve got a mass of internal, customer and other contextual data. Where do you start?
  • What signals do you need to capture from your team and other processes to impact revenue or lower costs?
  • What sort of unstructured data technologies do you need to harness your data, and how do you find the data that will help you improve the various operations that lead to profitability?
  • Even in singular apps, decisions must be made. For example, your customers leave trails online, that you can also integrate to your CRM. But what exactly do you track? What data enables you to make relationships better?
  • Businesses, whether they deal with stock markets or in selling shoes, never operate in a vacuum. You can learn to predict and leverage the external factors that influence sales, customer relations, and internal processes.
Data scientist versus software? When finding growth solutions, how much do you rely on the human versus the machine?
  • How much do you need to have data scientists running your solutions versus relying on your existing resources and personnel to do so?
  • Should you really have to train marketers or developers to use the most compelling solutions needed to drive revenue?
  • Some specific industries, such as web commerce, have plenty of big data software solutions that are already complete and easy for company analysts to use. How do you know if you’re in an industry that needs to build its own solutions or find specialized scientists to do the work?

Join us and . . .

  • Find out which big data and analytics tools are helping produce measurable results in sales, marketing, research, and operations
  • Take a peek into the future of data-driven ‘growth hacking’
  • Get an unparalleled cross-section of ideas from the world’s top data visionaries, scientists, business analysts, executives, academics, and journalists
  • Learn effective strategies for managing and mining both structured and unstructured data
  • Get tips from experts on how to foster a ‘culture of data’ inside any organization
  • Be inspired by real-world examples from the most innovative companies that are seeing measurable growth from utilizing data and analytics
  • Learn about the innovations those companies leverage, the insights they’ve found, and the competitive advantage they’re gaining

Agenda

Showdown

We were blown away by the quality of the 100 plus startup applicants, and we’ve narrowed the pool down to 10 finalists who will present their innovative big data products/services live on day two of DataBeat.

The finalists will be broken into two groups: Early stage companies (late seed stage to Series A), and mid stage companies (Series A to Series B funding). They’ll each have five minutes to sell our expert panel of judges on how their company embodies, enables, or amplifies the very best new ideas in and around big data.

Judges include:
  • Jerry Held, Chairman of the Board, Tamr
  • Todd Rumberger, Partner, Foley & Lardner, LLP
  • Rajeev Batra, Partner, Mayfield Fund
  • Charles Beeler, General Partner, Icon Venture Partners
Early Stage Finalists:

6Sense-Logo-CMYK

6Sense is a predictive intelligence engine for sales and marketing that helps companies measurably grow their business. 6Sense leverages time-sensitive, behavioral data to identify new prospects that are highly likely to buy, providing insights about when they will buy, how far along they are in the purchase cycle, which products they prefer, and how best to reach them.

Wise.io

Wise.io provides applications for the entire customer lifecycle that apply the power of machine learning to help companies optimize how they acquire, monetize, and retain customers. Wise.io’s solutions are running in production at companies that range from Silicon Valley startups to the largest Fortune 500 corporations.

Prelert Logo

Prelert is the anomaly detection company. Its automated, behavioral analytics make it easy for users to uncover real-time insights into the opportunities and risks hidden in massive data sets. Prelert’s downloadable Anomaly Detection software eliminates the need for data scientists, providing value in minutes at the push of a button.

DataPadLogo_LightBG-01

DataPad’s goal is to enable true data democracy for business people in small and medium enterprises by building better visual analytics tools. We aim to make short work of integrating local and cloud data seamlessly, and to create a nexus to collaborate on and share data, from anywhere and on any device.

NOTE: The fifth early-stage finalist is in stealth mode.

Mid-Stage Finalists:

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ParStream helps businesses gain immediate insights into their data. As the leading provider of real-time databases, ParStream powers big data analytics on the massive amounts of data businesses collect daily. The award-winning, breakthrough technology enables ultra-fast, flexible analytics of stored and streaming data. The ParStream Real-time Database is used worldwide in e-commerce, telecommunications, finance, advertising, retail, and mining.

SC_LOGO_NEW (1)

SpaceCurve is the creator of a real-time big data platform for the Internet of Things and a new generation of applications and services. The platform concurrently ingests, fuses, stores and analyzes large volumes and varieties of streaming and historical data in real time to provide organizations with immediately actionable intelligence.

Context Relevant

Seattle-based Context Relevant provides the world’s fastest automated predictive analytics software. Led by CEO Stephen Purpura, the company defines the next generation of financial information capabilities by applying big data to solve the toughest problems in the financial sector.

duetto-logo-color - vector

Duetto delivers dynamic, intelligent revenue strategy solutions to the world’s leading hotels, allowing them to maximize profits through superior, actionable data to better manage pricing, revenue and business mix decisions. Leveraging a cutting-edge, cloud-based architecture, combined with a feature-rich product set, Duetto transforms the way hotels price and sell rooms.

DataRPM

DataRPM is an industry pioneer in using Smart Machines for Big Data Discovery. DataRPM’s patent-pending technology enables automatic modeling of data from disparate sources using cognitive algorithms, without the need of building manual data warehouses. DataRPM provides a simple natural language question-answering interface to analyze and visualize big data.

Venue

Grand Hyatt Union Square
345 Stockton Street, San Francisco, CA 94108

The hotel block for DataBeat has now expired. The week of May 19th is a busy convention week in San Francisco. We recommend that you book a hotel ASAP.

Take Highway 101 North towards the Bay Bridge. Take the 4th street exit. Travel one block to 3rd street and turn left. Take 3rd Street, across Market Street, to Sutter Street and turn left. Take Sutter to Stockton Street and turn left. The hotel is located on the corner of Sutter and Stockton.

The Nest

DataBeat Nest

Enter the DataBeat Nest, a brand new space at DataBeat that spotlights a select number of emerging companies that are truly disrupting in the area of data.

Companies in the the Nest get:

  • a space to demo and mingle with 600+ data visionaries, execs, customers/brands, analysts, investors, and press
  • a chance to compete on the main DataBeat stage in the Innovation Showdown (Throughout the first day and 1/2, attendees will vote on their favorite Nest company, and the winner will be invited to compete in the Showdown at the end of day 2)
  • a custom onsite video interview to run on VentureBeat.com
  • on-site signage and branding on the event website

Criteria:

  • companies must be under 10M in funding
  • companies must have a product/service that is in the market
  • companies must be approved by the DataBeat content team

Interested? We’ve got a very limited number of spaces available at a steeply discounted sponsorship rate. Email sponsors@venturebeat for full information.

Partners

— Platinum Partner —
— Corporate Partner —
— Event Partners —
— Nest Partners —
— Strategic Partner —
— Media Partners —

Contact

For general information, please contact events@venturebeat.com and reference “DataBeat”

For sponsorship information, please contact sponsors@venturebeat.com and reference “DataBeat”

If you would like to volunteer at DataBeat, please contact volunteer@venturebeat.com and reference “DataBeat”

To apply to speak at DataBeat, please fill out the form here.

May 19 - 20, 2014
Grand Hyatt Union Square, San Francisco, CA