Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Findata Day

Tuesday, 22 May 2018
London, UK

Alistair Croll, Strata Conference Chair and Findata Day Host

Program Hosts | Findata Day Schedule

Findata Day

Finance is information. From analyzing risk and detecting fraud to predicting payments and improving customer experience, data technologies are transforming the financial industry. And we're diving deep into this change with a new day of data-meets-finance talks, tailored for Strata Data Conference events in the world's financial hubs. Bringing together bankers, analysts, entrepreneurs, financiers, and technologists, it's a can't-miss day for anyone working in the financial sector.

About your hosts

Alistair Croll, co-chair of Strata Data Conference, teaches Data Science and Critical Thinking at Harvard Business School. Alistair has co-founded Coradiant and Year One Labs, and works with early-stage companies and the Global 2000 on business innovation.

Rob Passarella has been working with data and commerce for decades, including executive roles at DataSift, Bloomberg, and Dow Jones. At Protégé Partners, he evaluates the “new quant”, using AI for investment. Rob is also the CEO of Alpha Features, which organizes access to unstructured data for the marketplace.

Tuesday, 22/05/2018

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9:00
Strata Business Summit
Location: Capital Suite 4
Alistair Croll (Solve For Interesting), Robert Passarella (Alpha Features)
Average rating: ****.
(4.00, 1 rating)
Hosts Alistair Croll and Robert Passarella welcome you to Findata Day. Read more.
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9:05
Data-driven business management, Law, ethics, and governance
Location: Capital Suite 4 Level: Non-technical
Secondary topics:  Financial Services, Security and Privacy
Paul Lashmet (Arcadia Data)
Average rating: ***..
(3.00, 6 ratings)
To fully demonstrate that policies and procedures comply with regulatory requirements, financial services organizations must use information that goes beyond traditional data sources. Paul Lashmet explains how alternative data sources enhance trade surveillance by providing a deeper understanding of the intent of trade activities. Read more.
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9:30
Location: Capital Suite 4
Gisele Frederick (Zingr.io)
Average rating: ***..
(3.89, 9 ratings)
Gisele Frederick in conversation with Alistair Croll. Read more.
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10:00
Data-driven business management
Location: Capital Suite 4 Level: Beginner
Konrad Sippel (Deutsche Börse)
Average rating: ****.
(4.20, 10 ratings)
Deutsche Börse has built out a data science team, the Content Lab, dedicated to advanced analytics efforts focused on driving new products in risk management and investment decision making. Konrad Sippel discusses the people, processes, and technology that make up this initiative and the early successes driven by the Content Lab. Read more.
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11:00
Data-driven business management
Location: Capital Suite 4 Level: Beginner
Secondary topics:  Financial Services
Paul Lynn (Nordea)
Average rating: ***..
(3.78, 9 ratings)
As a global systemically important bank (G-SIB), Nordea Bank is subject to the highest level of regulatory oversight in the financial services industry. Paul Damien Lynn explains how implementing new technology and processes for acquiring, preparing, and analyzing data helped reduce the bank’s compliance reporting processes by over 85%. Read more.
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11:30
Data-driven business management
Location: Capital Suite 4
Christina Erlwein-Sayer (OptiRisk Systems)
Average rating: ***..
(3.62, 8 ratings)
Christina Erlwein-Sayer explains how to enhance the modeling and forecasting of sovereign bond spreads by considering quantitative information gained from macroeconomic news sentiment, using a number of large news analytics datasets. Read more.
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12:00
Location: Capital Suite 4
Robert Passarella (Alpha Features)
Average rating: ***..
(3.62, 8 ratings)
Modern organizations in financial research are actually becoming intelligence organizations, similar in respect to the CIA and MI6. Finding needles in a haystack means they need to build haystacks encompassing signal processing, unstructured data, and satellite imagery. Drawing on real-world examples, Robert Passarella explains what data offers finance and why it might actually work. Read more.
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13:30
Location: Capital Suite 4
Saeed Amen (Cuemacro)
Average rating: **...
(2.83, 6 ratings)
Saeed Amen explores various sources of big data and alternative data for financial markets and details ways corporates can monetize their datasets by distributing them to financial market participants, thus creating new revenue streams and marketing opportunities. Read more.
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14:00
Data-driven business management
Location: Capital Suite 4
Louise Beaumont (Publicis Groupe | techUK | NPSO)
Average rating: ***..
(3.86, 7 ratings)
Welcome to your open future. Louise Beaumont explains what’s happening and why, who’s got the power, who’s in the race, and how you win. Read more.
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14:30
Data-driven business management
Location: Capital Suite 4 Level: Intermediate
Secondary topics:  Financial Services
Olaf Hein (ORDIX AG)
Average rating: ***..
(3.17, 6 ratings)
Olaf Hein explains how a large German bank relies on a Kudu-based data platform to speed up business processes. Olaf highlights key data access patterns and the system architecture and shares best practices and lessons learned using Kudu in development and operations. Read more.
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15:30
Data-driven business management
Location: Capital Suite 4 Level: Beginner
Average rating: ***..
(3.60, 5 ratings)
Over the last three years, TBC Bank has transitioned from a product-centric approach to a client-centric one, which has included the development of advanced customer analytics. Mikheil Nadareishvili discusses this transition and explains how the company implemented an integrated 360-degree view of customer and advanced analytics, enabling personalized service. Read more.
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16:00
Location: Capital Suite 4
Average rating: ***..
(3.00, 7 ratings)
Angelique Mohring explains what information flow means for financial services, covering the advantages and challenges and detailing how to measure real innovation and cultural transformation through the lens of data flow and nontraditional sources of data to accelerate both organizational capacity and delivery capabilities. Read more.
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16:30
Location: Capital Suite 4
Average rating: ***..
(3.67, 3 ratings)
Session with Anthony Culligan Read more.