Unilever | The Future of SupplierNet
Transcription
Unilever | The Future of SupplierNet
Beyond the Data – Actionable Insights from Big Data Analytics & Date Science Mark Hanson, EMEA Director Saama Technologies Talk Outline Actionable Insights from Big Data Analytics & Date Science • Changing landscape of analytics within business • Climbing the Analytics Maturity Curve • Tensions within the Enterprise • Analytics Case Studies – – Patient /Consumer Sentiment Analytics – Retail /Merchant Analytics – Telco Network Analytics – Mobile Toll Free Video Who We are & Our Connection with Unisys Pure-play Data & Analytics – ’97 Channel partner to Unisys - Consulting and Solutions focused Supporting Unisys to address it’s client’s Platform independent approach future data analytics challenges Innovative IP-based solutions 700+ employees, US, EMEA & India. 3 Non-Negotiable Demands on Today’s Analytics • Analytics today is all About Speed! – Shortening the cycle to near real time insights... – Creating organization flexibility & control to adapt analytics continuously... – Focus on driving analytics at the business process & applications level – Connected to everyone, data sourced from anywhere.... Mobile analytics – Your vertical, your ecosystem’s data most impactful on business projects Big Data Applications Predictive / Prescriptive Analytics Dashboards & Reporting Strategy & Data Architecture Integrate Data Record Transactions Business Enablement Climbing the Analytics Maturity Model Derive Information Enhanced Decision Making Best Practice Collaboration Role-Based Guided System Scope 3 key learnings • Build an analytics strategy where ever you are... • Parts of the organization will be at different maturities • Few organizations are truly data driven Inside Out, Moving to Outside In HR Business Analytics Analytic Tools Core IT IT// Ops Marketing & Sales Risk Management Emerging need to support line of business & ability to do this is where real impact can be made Consistent Trends LOB is driving more focus on analytics Data quality and data access is now in the spotlight Major imbalance between LOB needs and IT capability and capacity Enterprises looking to build an ability to meet LOB needs Seeking balance between analytics needs and infrastructure needs Major refactoring projects – both cost and capability driven 7 Case Studies Generating Insights Data Integration Analysis Visualization Data Integration Pull together data from multiple data sources, and apply transformations based on business rules Analysis Utilize statistical methods and calculations to translate data into business specific KPI’s/Metrics Visualization Actionable insights can be conveyed with intuitive dashboards that allow a guided path of analysis. 8 Case Study 1: Customer Satisfaction and Net Promoter Score (NPS) Patient/Customer Satisfaction and NPS Context for the use case Internal 80% of times Patient Surveys • • • • External Where Patient Complaints Call Center Notes Knowledge and Skills Care and Concern Staff -Patient Communication Care coordination, Facilities • • • • • • • Doctor / Nurse notes On-Boarding Procedures Billing & Claims Process Adherence Ease of Use Systems Social Media • • • • GOV Sites / Rankings Facility Access Parking Wait Times Call Center experience What Performance Analysis over time, geo, service lines, departments, Etc. Deeper mining for root cause analysis of problems (Internal, External) Fix issues before they become huge problems (Patient Voice) • • • • Happy and Loyal Customers Stay Ahead of the competition A great caring brand Catalyst & required fuel for future growth Why Patient Satisfaction and NPS 11 Patient Satisfaction and NPS Both Doctors’ and Nurses’ Communications have strong positive relationships with other categories and the highest correlations with Pain Control • Nurses’ and Dr.s’ Communications and remains a critical component of an overall effective patient sentiment strategy Nurses Cmmnctns Nurses’ Communication Dr.s’ Communication Pain Control Hospital Staff Responsiveness Meds Communication Discharge Info Clean Rooms Quiet Rooms Doctors Cmmnctns Pain Control Staff Respnsvnss Meds Cmmnctns Discharge Info Clean Rooms Quiet Rooms 1.00 0.64 1.00 0.88 0.78 1.00 0.55 0.27 0.54 1.00 0.25 0.58 0.42 0.43 1.00 0.41 0.41 0.37 0.12 0.12 1.00 0.27 0.12 0.31 0.53 -0.12 0.19 1.00 0.23 0.50 0.36 0.23 0.70 0.26 0.16 1.00 12 Case Study 2 Transaction Data to Drive Marketing Spend and Promotions Merchant (Retail) Analytics 1) Who are my customers? 2) What is their spend? 4) What do I need to do? 3) Which segments are at risk? Store Performance Our Partners – A Growing List Banner performance over time Category performance across stores or for a store Ability to analyze performance of top 10 stores for a banner or across all the banners Top market baskets across stores Case Study 3: Mobile Video Analytics Enabling Mobile Service Providers to Monetize Real-time Network Intelligence Cisco – Advanced Analytics for Network IT infrastructure Real-time insights for Converged Networks Quality of Service Active Devices Content Traffic Data Plans Advantage of using Advanced Analytics Increase speed of delivery for new services and business models for: • Converged Solutions • Machine to Machine • Mobile Applications 19 What Big Data Sources Are Being Crunched? • Machine generated data • OSS/BSS • Unstructured data • Traditional data from data warehouses • • • • • • • Core Network – GGSN, CDN Cell Tower Radio Access Network CDR/UDR Billing Syslogs Social Media 20 Where are insights from big data being used? Network Planning & Operations • • Proactive problem solving Predict network shortfalls Content & Ad Partners • • Spot trends in advance Targeted advertisements Sales • • Pricing Optimization Offers bundles for micro segments Marketing • • • Identify new markets in the ecosystem Real-time Campaign optimization Customer engagement Customer Care • • Anticipate service issues Real-time insights into current network conditions 21 Real-time Campaign Optimization Narrow down target audience through recommen ded filtering Review Trends for Key metrics Identify “Interesting Data Patterns” to Explore Set Goals Set Targets Review Estimates Thank you & Talk to us! Offices around the world Tel. 408.371.1900 or 888.205.3500 Email: info@saama.com www.saama.com www.linkedin.com/company/saama-technologies