PDF-Data Driven Harnessing Data and AI to Reinvent Customer Engagement

The indispensable guide to datapowered marketing from the team behind the data management platform that helps fuel Salesforce the number one customer relationship management CRM company in the worldnbspnbspA tectonic shift in the practice of marketing is underway Digital technology social media and ecommerce have radically changed the way consumers access information order products and shop for services Using the latest technologies cloud mobile social internet of things IoT and artificial intelligence AI we have more data about consumers and their needs wants and affinities than ever before Data Driven will tell you how toTarget and delight your customers with unprecedented accuracy and successBring customers closer to your brand and inspire them to engage purchase and remain loyalCapture organize and analyze data from every source and activate it across every channelCreate a datapowered marketing strategy that can be customized for any audienceServe individual consumers with highly personalized interactionsDeliver better customer service for the best customer experienceImprove your products and optimize your operating systemsUse AI and IoT to predict the future direction of marketsnbspnbspYou8217ll discover the three principles for building a successful data strategy and the five sources of datadriven power You8217ll hear how top companies put these datadriven strategies into action how Pandora used second and thirdhand data to learn more about its listeners how GeorgiaPacific moved from scarcity to abundance in the data sphere and how Dunkin8217 Brands leveraged CRM data as a force multiplier for customer engagement And if you8217re wondering what the future holds you8217ll receive seven forecasts to better prepare you for what may come next Sure to be a classic Data Driven is a practical road map to the modern marketing landscape and a tool kit for success in the face of changes already underway and still to come. GLEN BISSETT. 2. 2014. Data driven professional scepticism. Outline. What is professional scepticism. ?. What is data. ?. How can one drive the other. ?. How does IDEA help?. What is professional scepticism?. , descriptive, general-purpose, function-driven Data-driven, normative, general-purpose function-driven DEPR Data-drivendescriptive, projectspecific, research-driven DEGR Data-drivendescriptive, gener Customer Data. Recap of the July 26, 2016 Meeting. Presentation material does not represent the views of the Joint Utilities Engagement Group as the group is still in discussion on these topics. Please do not redistribute this deck. . Customer Data. July . 26, . 2016. Presentation material does not represent the views of the Joint Utilities Engagement Group as the group is still in discussion on these topics. Please do not redistribute this deck. . This semester’s focus: Data Science. AnHai. Doan . What We Will Discuss. Logistic. course enrollment. no class this Friday. What is data science? . Motivation, the rise of data science. What CS at UW-Madison is doing about it. August 18, 2016. Agenda for August 18. th. . Time. Topic. 9:00 – 9:15. Introductions. & Stakeholder Engagement Process Overview. Matt. Robison (ICF). 9:15. . – 9:45. Overview of Customer Data. Enterprise Mobility Security (EMS) Identity Driven Security. PARTNER ENGAGEMENT GUIDE. . Microsoft Identity-Driven Security. 2. Protect at the front door. Azure Active Directory (AD) Premium. Secure single sign-on . Group. Summary of Stakeholder Engagement Group Meetings. Customer Data. Customer Data Engagement . Group Charter. Purpose. : Explore the Joint Utilities' approaches for facilitating market mechanisms that effectively support and encourage the adoption of Distributed Energy Resources while meeting customers’ needs and complying with the DSIP Guidance . August 18, 2016. Agenda for August 18. th. . Time. Topic. 9:00 – 9:15. Introductions. & Stakeholder Engagement Process Overview. Matt. Robison (ICF). 9:15. . – 9:45. Overview of Customer Data. DDDM. “The practice of basing decisions on the analysis of data rather than purely on intuition.”  Equally succinctly, data science “as the connective tissue between data-processing technologies (including those for . Cr. Emilio Nicola, PMP. Agenda. Gobernabilidad, Riesgo y Cumplimiento (GRC). Hacia nuevo paradigma: el nexo de fuerzas de . Gartner. GRC basado en datos: el modelo Data . Driven. de ACL. 2. 1-. Gobernabilidad, Riesgo y Cumplimiento . for u. nderstanding . u. tility . customer . behavior. Arjen Zondervan (. Alliander. , Liander Klant & Markt). Maarten Wolf (. Alliander. , . Liandon. ). Sasha Aravkin (IBM Research). 1. Customer Intelligence. The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand Customer Data. Recap of the July 26, 2016 Meeting. Presentation material does not represent the views of the Joint Utilities Engagement Group as the group is still in discussion on these topics. Please do not redistribute this deck. .