Elevating your Marketing Strategy with Data Science
As part of this year’s premier DATAx Festival, the Innovation Enterprise is bringing together today’s innovative start-up & experienced Fortune 500 leaders at our Big Data & Analytics for Marketing Summit. With two days of inspirational presentations, forward-thinking discussions, and valuable networking opportunities converging both creatives & data practitioners alike, leave the summit with new contacts, actionable takeaways, and new methods & data strategies to bring back to the office and implement into your marketing efforts.’
Topic Areas Covered Include:
- Fueling Personalized Experiences Using Data & Analytics
- Data-Driven Content Marketing Strategies
- Effective Social & Mobile Marketing through Advanced Analytics
- Marketing in a Post-GDPR World
- Creating Conversational UI Experiences
- Data Science for Customer Lifecycle Management
Previous Speakers’Include: – Head of Planning and Marketing Enablement – APAC Marketing -‘
PayPal – Big Data Engineer -‘
Viacom – Head of Insights, Performance and Data Strategy -‘
Flipboard – Director of Data Science & Marketing Analytics -‘
Nickelodeon We have limited’Early Bird tickets‘available until’October 12
– book your place now to’save $200‘or please’get in touch‘for more information on the summit and group rates.
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About Innovation Enterprise
We are a business media company specializing in enterprise innovation. We bring our exceptional cross-industry knowledge to the business community through a combination of digital media and live summits, providing organizations with cutting-edge insights to drive growth in the constantly changing business environment.
We also offer a range of additional media products, including lead generation services, custom events and custom research to fortune 500 clients.
Our’specialities’include Big Data, Analytics, Innovation, Strategy, Digital, Finance, Chief Innovation Officer, Chief Strategy Officer, Chief Data Officer, Chief Digital Officer, Chief Financial Officer, Chief Technology Officer, Data Science, FP&A, S&OP.
