Mid-Atlantic CIO Forum

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1 Mid-Atlantic CIO Forum Towson State University - March 17, 2016 Dave Rich CEO DBR & Associates

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3 Evolution of Analytics Batch Reportin g 1975 Static Reportin g Ad Hoc Query 1989 Data Warehousing Online Analytic Processing Template s Scorecard s 1990 Dashboard & Visualization DW Lifecycle Mgmt 2004 Process Awareness Event Monitorin g Data Collaboratio Models n & Alerting Content Workflow Analysis ETL / Predictiv Data e Quality Analysis Increasing analytic sophistication and capabilities

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5 Insight-driven decision making... the fundamental rethinking and radical redesign of cognitive processes in organizations, that result in the selection of a course of action, to allocate resources or to choose to do nothing, to achieve dramatic improvements in business performance Performance Monitoring Weekly Forecast Adjustment 1 Monthly Business Review Questions on Key Metrics Quarterly Health Check Insight Generation 1. 1 Strategy Focus on the key questions to manage business performance 2. 2 Process Embedded analytical processes to generate and validate key insights 3. 3 Execution Determine interventions to execute and resources to allocate 4. 4 Value Realization Measures the quality of the decision and the root cause of a course correction 4 Marketing BI and Packaged Workbench Supply Chain HR Analytics COE Core Analytics Functional Analytics Technology Enablers Manufacturing Cross Functional Analytics 3 Root Cause Analysis Tools Finance Statistical Models Optimization Tools Value Realization Execution Insight Validation 2

6 Increasing Volume, Variety and Velocity

7 Value Manual Decisions Expert Decisions Automated Decisions Complexity

8 PRODUCERS SUPPLIERS

9 Defines analytics and Big Data needs; act as the Big Data translator to the rest of the business Leads data discovery and innovation processes, identifying potential big data-driven solutions Data Scientist Chief Data & Analytics Officer Tech. & Data Architect Design data and technology solution architecture to meet business, technical and user requirements Ensures data privacy Privacy Expert Business Domain Experts Bridge between teams, with deep domain expertise Develops visualisation tools to manipulate complex datasets in a simple and intuitive format Visualization Expert Business Analyst Gather business requirements to identify analytics needs Sources data and analytics datasets for analysis Data Sourcing Analyst Analytics Modeller Analytics Delivery Lead Oversee end-to-end delivery of analytics capabilities Develops analytical models (e.g. churn models, sentiment analysis)

10 Data Service Providers SI / Services Marketing Service Providers Deployment / Consumption Advanced Analytics Microsoft R Server Corios ETL Data / Infrastructure

11 Chapter 1 Chapter 2 Chapter $100M+ Tools & Workstations Big Data Big Analytics Platform Cloud Marketplace Private Cloud RASE R e v e n u e

12 Traditional Analytics Big Data Data Economy 1990s 2000s Today Data Latency Analysis Consumption Becoming the Visionary IT In light of these shifts how does IT effectively partner to enable outcomes? Seamless combination of internal and external data Near real-time insights Bring analytics to internal and external data to discover patterns Role-based, contextually relevant actionable insight

13 FROM TO Data Controlling the Data Bring Data to Apps Liberating the Data Bring Apps to Data Latency Structuring Data Data Movement Scaling Processing Usage-based Data Management Analysis Consumption Siloed IT Talent Tethered to Applications Pre-Defined Needs Static Reports Collaboration & Teaming Dynamic IT Talent & Roles Role-based Visualization Simplification of the Last Mile

14 Data The collection of analytical apps, business apps, data sets, reports and analytical models within the enterprise and the interfaces that enable them to be searched & browsed. Customer Experience Search & Browse Data Exploration & Drilldown Rich Application Program Interface Mobile Compatibility Version Control System Export data to multiple formats Key Features User News Feed Collaboration Share & Follow Datasets / Notifications Recommendation Engine (Driven from Federation Engine as well as user behavior) Business Process Workflow User Analytics Telemetry Data set Analytics System Analytics Combined Analytics (granular view of user access for data sets) Administration Customized Apps User Profiles & Access Hierarchy Management Federation Engine / Harmonization User Management Engine

15 Data Sets Capability Examples Latency Exploratory Analytics Advanced Analytics (Predictive) BI Prototyping Exploratory Data Sets Analytics (Guided / Descriptive) Industrialized Models Usage-Based Data Sets Material Reporting Operational Dashboards Executive Dashboards KPIs Enterprise Trusted Data Customer Analytic Record Harmonized Unstructured Internet of Things MDM Used for Material Decisions Mixed Grade High Grade

16 Analysis

17 Consumption Machine learning Set of data discovery and analysis tools used to uncover hidden features in the data Algorithm types Supervised learning models Unsupervised learning models Reinforcement learning models Deep learning models

18 IN THE WORKPLACE Apps INFORMAL PROGRAMS Ask the Community Job Shadowing & Pairing Wikis Job Aids Performance Support Blogs KM System Simulations & Serious Games Video Podcasting 70% Developing Your Analytics Muscle Coaching & MentoringAction Learning Experts Network Forums / Communities 20% 10% Accreditation FORMAL PROGRAMS elearning & V-classroom ILT

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