Data Case Studies
9:00am- 5:00pm, Tuesday, September 26th, 2017
Strata Business Summit
From banking to biotech, retail to government, nonprofit to energy, every business sector is changing in the face of abundant data. Driven by competitive pressures and rising consumer expectations, firms are getting better at defining business problems and applying data solutions. The road to a data-driven business is paved with hard-won lessons, painful mistakes, and clever insights. We’re introducing a new Tutorial Day track packed with case studies, where you can hear from practitioners across a wide range of industries. We call this track Data Case Studies. In a series of 12 half-hour talks aimed at a business audience, you’ll hear from household brands and global companies as they explain the challenges they wanted to tackle, the approaches they took, and the benefits—and drawbacks—of their solutions. If you want practical insights about applied data, look no further.
9:05am–9:30am Tuesday, 09/26/2017
Derek Ruths illustrates how organizations can adopt data-informed practices even in low-tech environments. Drawing on his experience working in and with developing nations, Derek shares several key strategies to significantly improve the odds of success when bringing data-driven practices to seemingly impractical situations.
9:30am–10:00am Tuesday, 09/26/2017
It doesn't matter how much data organizations collect; all that matters is how much data they can leverage. Aneesh Karve explores how a Fortune 500 bank leverages data packages to minimize data prep and maximize time spent on analysis—using a technique called source code-inspired data management.
10:00am–10:30am Tuesday, 09/26/2017
Geoenrichment uses a location-based key to manage data and provide a single view of a location. Rose Winterton explains how Pitney Bowes's Spectrum Technology Platform for big data allows fast processing of location-based data for address validation, geoenrichment, analysis, and integration with operational processes for more accurate decision making and better business outcomes.
11:00am–11:30am Tuesday, 09/26/2017
A talk about a tech stack that collects millions of raw events per sec, trends, predicts, correlates and finds anomalies among them to alert the business in real time. Solutions for challenges like seasonal data, sparse data and scale issues also will be discussed.
11:30am–12:00pm Tuesday, 09/26/2017
Technology startup Play The Future developed a mobile prediction game in which users predict trending events and get rewarded for accuracy. Parisa Foster explains Play The Future’s unique predictive gameplay, discusses the challenges of a groundbreaking project, and reveals emerging insights derived from its data about how people make predictions.
12:00pm–12:30pm Tuesday, 09/26/2017
Statistical learning techniques applied to network data provide a comprehensive view of traffic behavior that would not be possible using traditional descriptive statistics alone. Amie Elcan shares an application of the random forest classification method using network data queried from a big data platform and demonstrates how to interpret the model output and the value of the data insight.
1:30pm–2:00pm Tuesday, 09/26/2017
Professional sports teams generally have very large fan bases, but only a small percentage of fans attend multiple games or purchase season tickets each year. Audrey Spencer-Alvarado explains how better identification of customers enables the Portland Trail Blazers to conduct more targeted campaigns, leading to a higher conversion rate, increased revenue, and an improved customer experience.
2:00pm–2:30pm Tuesday, 09/26/2017
Sean Power explores available datasets, how to access them, and the data challenges involved in working with data in the e-sports space.
2:30pm–3:00pm Tuesday, 09/26/2017
The EU's General Data Protection Regulation (GDPR) fines companies up to 4% of worldwide revenue for violations of people’s data privacy. Privacy experts expect this to have the same impact on all industries as SOX compliance had on the financial sector. Kristina Bergman shares customer stories about how CIOs, CSOs and CPOs are solving the challenges presented by emerging data privacy laws.
3:30pm–4:00pm Tuesday, 09/26/2017
The data collaborative is a new form of public-private partnership that seeks to create public value for the world’s most marginalized children through the exchange of data and data science expertise. Natalia Adler offers an overview of the Data Collaboratives initiative, led by UNICEF and the GovLab at New York University's Tandon School of Engineering.
4:00pm–4:30pm Tuesday, 09/26/2017
Data for good
Nick Selby (CJX, Inc. | Midlothian Police Department)
Nick Selby offers an overview of his study on traffic-stop data in Texas, which found evidence that the state targeted low-income residents (a disproportional number of whom are black and Latino) for heightened scrutiny and penalties. The problem is not necessarily an issue of racist cops—which means fixing the criminal justice system isn’t just an issue of addressing racism in uniform.
4:30pm–5:00pm Tuesday, 09/26/2017
Salema Rice shares how Allegis Group, the largest privately held talent management company in the world, is transforming into a digitally enhanced company, using big data and data sciences to differentiate itself in the marketplace.