SAP Consumer Insight 365 Solution Overview

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Presentation transcript:

SAP Consumer Insight 365 Solution Overview Oct 2017

Agenda Introduction to Consumer Insight 365

SAP Consumer Insight 365 unlocks and enhances mobile data; delivers ready to consume insights applicable for various industry segments SAP Cloud SAP HANA Sybase IQ Analytics Data Enrichment & Predictive Enhancement Maps Points of Interest Demographics SAP Consumer Insight 365 Retail CP Portal UI Media & Entertainment API API Agencies 1 2 3 Anonymized near real-time mobile subscriber data available by different countries/region from Mobile Network Operators Data enriched with other sources and enhanced with predictive algorithms, offered as a cloud-based service Detailed reports available for pre-defined use cases, ready for consumption based on industry workflows - delivered through a web based portal UI and or API’s

What does mobile network data reveal? Who Anonymized ID Gender Age Partial post/zip code – neighborhood Device Socio demographic profile. Where Location Country City District Specific proximity Ranges from 100mtrs Geofencing tools: Polygon, Radius, Rectangle. What Web logs / clickstream Sites visited Apps used Advertising responses Marketing responses Brand engagement. When Time from place to a place Time spent at a place Time spent browsing Time spent in a session Flexible analysis sample periods - part of day, day , week month etc.

SAP Consumer Insight 365 adds a 4th pillar of data Mobile Networks Where people are, what they do on their devices, when and how they communicate Point of Sale Merchant transactions records CRM/Financial Spend Analysis, Segmentation Internet & Social Sentiment Analysis

SAP Consumer Insight 365 is a cloud service powered by HANA that enables insights based on billions of anonymized mobile operator records Footfall Catchment Clickstream Who are my customers? Determine what demographics of people are coming through (i.e. store) Compute dwell time, input rate, exit rate over time across multiple locations Compare competitors and location over time Value: Enables brands / ad agencies to understand ad effectiveness/demographics Where are they coming from? Determine home location of consumers, to drive circular ad campaigns Display origin of home location for a given retail store or location List top 10 locations of origin Value: Enables brands /ad agencies to understand where they should spend their ad dollars. What are they doing? Optimize digital advertising ROI by understanding consumer digital click through behavior What are people searching for in a particular location What is the digital advertisement ROI – where did it break in the conversion chain? Value: Drives brand / ad agency digital ad spend. SAP Consumer Insight 365

Determine who is in and around your business location(s), your competitors location(s) and understand the social demographics of these consumers (aggregate anonymized data) *Country City Center District POI Singapore . Downtown Core Retail Shopping National Stadium Out of Home (OOH) Where people are – Footfall Analysis Who they are - Demographics What are they doing and how their behavior changes over time Discover in near real-time who (aggregate anonymized data) is in and around your business location(s) Your competitors location(s). * Using the SAP Consumer Insight 365 API Reinvented, value-based messaging packages improve processes and support business objectives Recognising the needs of Digital Media Agencies Home Location Where do they live (zip code / post code) – Catchment Analysis What is their income level? What are their interests? Work out where consumers at a location are coming from and how their behavior changes over time – Physical Journey*

SAP is uniquely positioned to bring to market these mobile focused consumer insights Suppliers (Mobile Operators) Trust: SAP Digital Interconnect serves 1000 network operators worldwide as part of its SMS Intelligent Hubbing business Big Data Expertise: Extract up to 30 TB/day/operator worldwide Buyers (Brand & Agencies, others..) Ease of Consumption: Cloud based offering Completeness of Solution: Effective integration and delivery with existing LoB and Industry Solutions Technology Levers: Predictive Analytics, Real Time HANA Based Big Data Platform Business Levers: Mobile Operator Relationships as part of SAP Digital Interconnect

These consumer insights can be utilized in several marketing functions Social Media Audience Research & Loyalty SAP Consumer Insight 365 Competitive Intelligence Advertising and Marketing Effectiveness Consumer Behavior & Attitude Programmatic Buying Omni Channel Marketing Media Channel Planning & Buying Out of Home Insights Consumer Physical Journey

Significant value potential Impact advertising and marketing strategy/execution Contribution to mobile channel attribution Greater insights into mobile enabled consumer behavior Contribution to brand engagement by time and place Near Real-time competitor benchmarking New insights into consumer movement Improved location, catchment and OHH planning

Ensuring privacy of the individual consumer is the foundation of SAP Consumer Insight 365 SAP Consumer Insight 365 Dashboard MNO Data Center Data Center: Singapore SAP Consumer Insight 365 MNO Mediation Zone MNO Mediation Zone Presentation Layer Data Center: APJ Analytics & Data Layer SAP Consumer Insight 365 API API Data Privacy Principles No data that can directly identify individuals Data that can directly identify an individual never leaves the Mobile Network Operator Individuals cannot be identified through the portal or API No public or end-user access to raw data Restricted raw data access for SAP Staff and periodic security reviews Data is delivered aggregated through either a web based UI or a programmatically queryable API

SAP Consumer Insight 365 is already winning industry acclaim SAP Consumer Insight 365 is a proud winner of multiple awards in product and design excellence: CTIA Winner, Emerging Technologies Award (E-TECH) 2014 Gold Medal 2014 Best Enterprise Experience, Red Dot Award Winner, Communication Design 2016. UX Design Awards Winner “Bringing Order to Big Data”, UX Magazine, Design for Experience Award Finalist 2014 Spotlight Big Data as a Service, SAP Digital Consumer Insight - InfoTECH Product Excellence Award Winner 2016.

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