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Big Data Opportunities, Challenges and Solutions for Industry Verticals

Table of Contents

  • Executive Summary
  • What is Big Data
  • Breaking Down Big Data
  • Internal Data
  • Structured External Data
  • Unstructured External Data
  • The Important 'V's of Big Data
  • The Big Deal about Big Data
  • Exponential Growth of Big Data
  • What the Numbers Mean
  • The Chance for Companies to Thrive
  • How Big Is Big Data?
  • What Data Is Meaningful?
  • Operations Management Data
  • Sales and Marketing Data
  • Accounting and Finance Data
  • Improved Technologies to Manage Data
  • Analytic Relational Systems
  • Non-Relational Systems
  • Big Problems to Solve
  • Better Investment Decision and Operational Changes
  • Real Time Customisation
  • Improved Performance and Risk Management
  • New Business Model
  • Uses for Big Data
  • Challenges in Big Data Analysis
  • Heterogeneity and Incompleteness
  • Scale
  • Timeliness
  • Privacy
  • Human Collaboration
  • Big Data vs API Strategies
  • Structured and Unstructured Solutions: APIs
  • Big Data Ecosystem
  • Big Data Landscape
  • Big Data Architecture
  • Traditional Information Architecture Capabilities
  • Adding Big Data Capabilities
  • Big Data Sources: What and How Much?
  • Where the Data is Getting Generated?
  • Big Data Generation and Analytics
  • Predictive Analytics
  • Data Scientists
  • Big Data Technologies and Techniques
  • Hadoop
  • Problems Solved by Hadoop
  • Hadoop Architecture
  • Cost Benefits of Hadoop
  • Hadoop and Spark
  • Hadoop and Data Security
  • Hadoop's Architecture Presents Unique Security Issues
  • Deploy a Purpose-Built Security Solution for Hadoop and Big Data
  • MapReduce
  • Features
  • When to Use MapReduce
  • When Not to Use MapReduce
  • How it Works
  • Data Mining
  • CRM Systems
  • Social Media
  • Ways to Tap Social Media
  • Google Trends
  • APIs and Mashups
  • Communicate Intelligence with Data Visualization Tools
  • Data Management
  • Acquire Big Data
  • Organize Big Data
  • Analyse Big Data
  • Interpretation
  • Big Data Standardisation
  • Alliance for Telecommunication Industry Solutions
  • Business Challenges for CSPs
  • Promise of Big Data for Telecom
  • Catch Problem Spots Before they Affect Service
  • Put Big Data to Use Immediately
  • Give Internal and External Teams the Tools they Need
  • Major Service Providers
  • IBM
  • Datameer
  • Amazon Web Services
  • HP-Big Data
  • SpotFire
  • Intel
  • EMC
  • Big Data in Industry Verticals
  • Finance and Accounting
  • Retail and CRM
  • Government and Defence
  • Healthcare
  • Supply Chain Management
  • Telecommunication
  • Summary and Conclusion
  • Appendix
  • Deeper Dive into Big Data in Retail
  • Retail Merchant Challenges
  • Big Data in Retail
  • Big Data in Retail Business Case
  • Retailers Business Models, Companies and Solutions
  • Supply Chain Solutions
  • Deeper Dive into Big Data in Healthcare
  • Big Issues with Healthcare
  • Healthcare Stakeholders
  • Opportunities and Challenges
  • Big Data Industry Verticals vs Functional Areas
  • Industry Verticals
  • Functional Areas
  • Big Data Functional Area Forecast 2013-2019

Enterprise BYOD Challenges and Next Generation Over-the-Top (OTT) Solutions

Table of Contents

  • Enterprise BYOD Trend and Market Prediction
  • Biggest Enterprise BYOD Challenge in 2013
  • Enterprise BYOD Adoption To-Do
  • Enterprise Mobility Strategy
  • Integrated Strategic Approach: COBIT 5 Framework
  • Next Generation OTT Vendor Solutions for Enterprise BYOD
  • Armor5
  • Company Description
  • Cloud Based Solution
  • Zero Touch Deployment Model
  • Best Security: Reduce Attack Surface
  • SWOT Analysis
  • Domo
  • Company Description
  • Business Intelligence (BI) vs Big Data and Analytics
  • BI Dashboard and Executive Management Platform
  • SWOT Analysis
  • Divide by Enterproid
  • Company Description
  • Divide Platform
  • Virtualisation and Device Management
  • Work-Life Balance and Divide Platform
  • SWOT Analysis
  • MobileSpaces
  • Company Description
  • Enterprise App Store, Employee Privacy and BYOD Solution
  • SWOT Analysis
  • Mocana
  • Company Description
  • Solution Approach
  • Product and Service Paradigm
  • Industry Service Horizon
  • Solution Framework
  • Mobile App Protection and BYOD
  • App Wrapping Solution and Mocana Partnership with Apperian
  • SWOT Analysis for MAP
  • Apperian
  • Company Description
  • AM Platform and EASE
  • SWOT Analysis
  • Roambi
  • Company Description
  • Roambi Flow
  • MNOs (Mobile Network Operators) Role in Next Generation BYOD Trend
  • Location Impact and Solution for Enterprise BYOD
  • LOCAID: Full Scale Enterprise Location Solution

List of Graphs

  • Figure 1: BYOD Market Fact and Prediction 2013-2015
  • Figure 2: Zero Touch Model
  • Figure 3: CloudSpace Architecture
  • Figure 4: Web Virtualisation Engine (WVE) Architecture
  • Figure 5: Interactive Dashboard for Enterprise
  • Figure 6: Cross-Platform View of BI Dashboard
  • Figure 7: Divide Screenshot
  • Figure 8: Work-Life Separation Interface of Divide
  • Figure 9: Native Apps Screenshot on Smartphone
  • Figure 10: Product and Service Screenshot
  • Figure 11: Industry Coverage Screenshot
  • Figure 12: Mocana Solution Framework
  • Figure 13: MAP Framework
  • Figure 14: EASE Admin Portal
  • Figure 15: Roambi Flow Screenshot