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Key Sessions

Alistair Croll

KEYNOTE: Don't Get Duped by Data

Harvard Business School

Rebecca Haller

Fake News, Real Data - Lessons from Trumpland

POLITICO

Sam Yagan

KEYNOTE: Falling in Love with Data: Fireside chat with Sam Yagan

ShopRunner & Co-Founder of SparkNotes & OkCupid

9 am 9:15 am (15 mins)

Main agenda

Chair Welcome: The Opportunity and Jeopardy We Face

  • David Boyle - EVP Insight, BBC Worldwide

9:15 am 10 am (45 mins)

Main agenda

KEYNOTE: Don't Get Duped by Data

With so much data to choose from, it's easy to get misled. From what we collect, to how we analyze, to the actions we take, every step of the data science cycle is a minefield of bad math, cognitive bias, and flawed decision-making. Join entrepreneur and Lean Analytics author Alistair Croll for this eye-opening look at the myriad ways analytics can deceive—and what we can do to make sure we're thinking critically about data-driven decision making.


  • Alistair Croll - Visiting Executive, Harvard Business School

10 am 10:45 am (45 mins)

Main agenda

Fake News, Real Data - Lessons from Trumpland

The need for a centralized insights engine has never been more critical for media organizations than it is right now – especially those at the epicenter of politics, policy and power. POLITICO’s Audience Insights and Data department is dedicated to decoding shifts in consumers’ media habits, behaviors and motivations. Learn how Rebecca and her team of analysts are marrying design-thinking techniques with first- and third-party data to uncover, solve for and anticipate its highly influential audience’s needs.

  • Rebecca Haller - Managing Director of Audience Insights and Data, POLITICO

10:45 am 11:30 am (45 mins)

Main agenda

Morning Network Break

11:30 am 12:15 pm (45 mins)

Track 1: Data Science

Macroeconomic Forecasting, Consensus, and Individual Forecaster: A Real-Time Approach

This study provides a real-time short-term macroeconomic forecasting approach that offers several advantages over conventional short-term forecasting procedures. The approach produces more accurate real-time forecasts compared to those of the Bloomberg real-time consensus forecast, on average, for major macroeconomic variables.

This study sheds light on five important areas of macroeconomic forecasting.

•  First, we focus on macroeconomic variables that impact the financial markets’ volatility and direction; moreover, these effects are most significant when the actual release is different than the market expectation.

•  Second, the importance of an individual forecast approach that is better than consensus is increased since financial markets move more when the actual release is different than market consensus.

•  Third, in short-term forecasting the actual release timing of the target variable, as well as predictors, is very important and needs to be considered in the model specification.

•  Fourth, traditional forecast evaluation methods are useful but this study recommends an additional step.

 •  Finally, one model specification will not remain accurate forever.

  • Azhar Iqbal - Director and Econometrician, Wells Fargo Securities, LLC

12:15 pm 1 pm (45 mins)

Track 1: Data Science

The Sprint for Teaching Data Science: Lynda.com, LinkedIn Learning, and the New Era of Just-In-Time Skills Training

Backgrounder on LinkedIn's acquisition of Lynda.com, deployment into LiL, and overall mission to train the enormous number of people in IT (including in the enterprise) who need more skills in data science and business analytics NOW. How we've come to assess market demand for data science skills and how we've developed tools for validation in stack-ranking skills coverage. All of which leads to "how do you go from a couple of dozen data science courses to over 100 in less than a year, and make them all as effective as possible? Who do you talk to and how do you find the best instructors? What's the pedagogical model and how does it contrast with standard classroom education and with alternative learning methodologies such as MOOCs?"


  • Steve Weiss - Content Manager for Data Science and Business Analytics, LinkedIn

1 pm 2:15 pm (75 mins)

Track 1: Data Science

Lunch

2:15 pm 3 pm (45 mins)

Track 1: Data Science

Language Analysis. Unlocking the power of words.

Data analysis has traditionally concentrated on easily quantifiable, numerical based data. But those days are gone, as words are data too! Intelligent machines are now able to comprehend, synthesize and analyze written text, allowing for quick and easy assessment of underlying content. Whether it's digesting and summarizing the news or characterizing the signals, traits and themes of content, you can now build the same automated reporting based on language that has been used for numerical analysis. Come hear how the BBC is using this new capability to gain an unprecedented understanding of the content genome for it's TV shows.

  • Chase Perkins - Founder & CEO, Thoughtly

3 pm 3:45 pm (45 mins)

Track 1: Data Science

Fireside Chat with David Gutelius, CEO at Motiva

Session details soon to come.

  • David Gutelius - CEO, Motiva

11:30 am 12:15 pm (45 mins)

Track 2: Marketing Analytics

Data Analytics in the Retail Store of the Future

In this presentation, we outline the challenges for brick and mortar retailers and their use of analytics to improve their business and create the retail store of the future. Brick and mortar retailers are going through a period of unprecedented change.  To remain competitive, retailers are focused on omni-channel and the use of the retail store as a competitive advantage for both customer experience and order fulfillment.  In focus, for this presentation, will be the innovative use of sensor and video technology, machine learning and the use of blended data to improve customer lifetime value, marketing analytics, sales lift and margin optimization.  We will cover topics such as data acquisition and store instrumentation leveraging the internet of things.  We will discuss advances in video analytics that enable retailers to better understand customer engagement, experience and behavior.  We will also discuss the use of blending unstructured data to enable retailers to better assess promotions and their impact on sales and margins.

  • Dave Bhattacharjee - Vice President, Data Analytics, Stanley Black and Decker

12:15 pm 1 pm (45 mins)

Track 2: Marketing Analytics

Competitive Pricing Analytics

Tracking competitor's prices can yield deep insights into their strategy and tactics. Even when collecting price data is automated, analyzing and interpreting price trends still requires theory and judgment. This session shares price tracking data from the publishing industry; reviews the main strategic insights from pricing studies; and discusses the goals of an "insights engine" to provide explanations as well as trend data.

  • Seth Reichlin, Ph.D. - Former Senior Vice President, Market Research & Insights, Pearson Education

1 pm 2:15 pm (75 mins)

Track 2: Marketing Analytics

Lunch

2:15 pm 3 pm (45 mins)

Track 2: Marketing Analytics

Unleash the full power of analytics: Give it the space it needs

  1. Demand more from analytics: The full power of marketing analytics is brought out when used in strategic decision making. The presentation will demonstrate this through actual case studies, and build a case for demanding more from analytics than simply insights and information.
  2. Assess where you stand: Analytics has become a ‘buzz word’ that means different things to different people – therefore the value chain of marketing analytics must be defined and each marketing department must set its path to Analytics Excellence. I shall share a construct that helps you assess where your initiatives are in the value chain.
  3. Make your investment count: Big Data can be misleading data – larger and larger data sets are being acquired, maintained and reported at tremendous cost; very little attention is paid to customizing the analytics. How can analytics deliver its own ROI?
  4. Separate symptoms from causes: Just because it can be measured, doesn’t mean it has value – too many metrics become jargon - what are the most valuable measurements and metrics that marketing can use? Too much of analytics is number crunching for its own sake, leading to an explosion in metrics.

From our long experience as client-side analytics buyer on global scale and analytics provider and seller, I shall provide both sides with examples and case studies which lead to maximizing the impact of analytics on business strategy.

  • Venu Gorti - Cofounder and EVP, Cogitaas AVA

3 pm 3:45 pm (45 mins)

Track 2: Marketing Analytics

Utilize CX Analytics to get out of the Marketing Spend

Kuntal will present us cases, learnings and $ impacts made using Customer Experience data and conducting Experiments. She will share how combining quantitative data from surveys with raw quantitative passive capture logs data could provide powerful insights into user behavior that can be leveraged for improving Marketing KPIs. How companies can provide an outlet to their customers to express their voice and keep an open dialogue via web and mobile channels. 

  • Kuntal Goradia - Head of Customer Experience Analytics and Experimentation , PayPal

3:45 pm 4:15 pm (30 mins)

Main agenda

Afternoon Break

4:15 pm 5 pm (45 mins)

Main agenda

KEYNOTE: Falling in Love with Data: Fireside chat with Sam Yagan

Drawing on Sam's history of designing consumer products that people love to disrupt established businesses, we'll discuss how falling in love with data can bring businesses superpowers. And drawing on his time leading Match Group (Match.com, Tinder, OkCupid), we'll talk about the power of those superpowers to bring people love.  

Plus, Q&A with David Boyle

  • Sam Yagan - CEO, ShopRunner & Co-Founder of SparkNotes & OkCupid

5 pm 5:15 pm (15 mins)

Main agenda

What We Learned Today and Want to Learn Tomorrow

Interactive wrap up and reflection from our chair, David Boyle.

  • David Boyle - EVP Insight, BBC Worldwide

5:15 pm 6:15 pm (60 mins)

Main agenda

Reception