advanced it analytics: a look at real adoptions in the real world

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  1. 1. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Advanced IT Analytics A Look at Real Adoptions in the Real World Dennis Nils Drogseth Vice President Enterprise Management Associates IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING
  2. 2. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING 2016 Enterprise Management Associates Todays Presenter 2 Dennis Drogseth, Vice President, EMA Dennis brings several years of experience in various aspects of marketing and business planning for service management solutions. He supports EMA through leadership in IT Service Management (ITSM), CMDB systems, as well as megatrends like advanced operations analytics, cross-domain automation systems, IT-to-business alignment, and service-centric financial optimization. Dennis also works over several practice areas to promote dialogue across critical areas of technology and market interdependencies. Dennis also helped to build the network management practice area at EMA.
  3. 3. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Advanced IT Analytics A Look at Real Adoptions in the Real World Dennis Nils Drogseth Vice President Enterprise Management Associates IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING
  4. 4. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING 2016 Enterprise Management Associates Sponsors 4
  5. 5. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING 2016 Enterprise Management Associates Agenda Methodology and demographics Organizational highlights Functional priorities Cloud and agile/DevOps Technology and design AIA deployments AIA success perspectives 2014-2016 trends Summary: AIA between the lines 5
  6. 6. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING 2016 Enterprise Management Associates Methodology 6 IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Time: Q1, 2016 Quantity: 250 respondents 150 in North America 100 in Europe Requirements: active deployments for . Advanced IT analytics (AIA) for performance/availability AIA for change or capacity optimization Can include: attention to security/ cloud/ agile Required: Managerial or hands-on involvement
  7. 7. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING 2016 Enterprise Management Associates What is Advanced IT Analytics (AIA) in EMA Research? Cross-domainnot restricted to network, systems, application, database, or business outcomes only. Assimilates many different sources, whether third-party monitoring tools or different data sources or, ideally both. Requires the application of advanced heuristics e.g. machine learning, advanced correlation, anomaly detection, predictive trending, etc. Let the research speak for itself! 7
  8. 8. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING 2016 Enterprise Management Associates Demographics Size: 500 and above employees with strong mid-tier (2,500-10K) 20% more than 10K employees Verticals: Finance/banking/insurance led, then tech SW, manufacturing and retail Stakeholders: 34% IT director or above, 14% non-IT business Prominent areas: operations planning and design, IT performance engineering, program/ project management 8
  9. 9. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING 2016 Enterprise Management Associates, Inc. Managerial oversight led, followed by hands-on stakeholders, in terms of AIA-related roles 9 23% 53% 17% 7% 0% HANDS-ON STAKEHOLDER MANAGERIAL OVERSIGHT TECHNICAL ADVISOR/STAKEHOLDER BUSINESS STAKEHOLDER I AM AWARE BUT HAVE NO DIRECT ONGOING INVOLVEMENT What is your role in supporting these initiatives which of the following best applies to you?
  10. 10. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Organizational Insights 2016 Enterprise Management Associates, Inc.10
  11. 11. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Executive and ITSM were most likely to drive advanced analytic strategies 11 2016 Enterprise Management Associates, Inc. 22% 19% 9% 7% 7% 6% 6% 6% 6% 4% 4% 4% 0% IT EXECUTIVE SUITE IT SERVICE MANAGEMENT/SERVICE DESK CLOUD OPERATIONS AS A WHOLE CROSS-DOMAIN SERVICE MANAGEMENT ORGANIZATION CHIEF ANALYTICS OFFICER/CHIEF DATA OFFICER INFRASTRUCTURE MANAGEMENT BUSINESS EXECUTIVE (NON-IT) SECURITY/COMPLIANCE OTHER CROSS-DOMAIN TEAM APPLICATION MANAGEMENT APPLICATION DEVELOPMENT/DEVOPS OTHER What organization is most likely to drive your advanced analytics strategy?
  12. 12. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Roles Supported by the AIA Investment 2016 Domain average = 4.38 X-domain average = 4 Non-IT business average = 2.82 Total role support = 11 2014 Domain average = 4 X-domain average = 3 Non-IT business = 2 Total role support = 9 2016 Enterprise Management Associates12
  13. 13. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING 2016 Enterprise Management Associates Integrated ITSM and Operations for AIA 82% indicated strong ITSM integrations 13 Top areas: Project management Integrated ITSM knowledgebase Shared IT governance analytics for OpEx efficiencies Integrated service level management Workflow scheduling for triage and remediation Integrated trouble ticket analytics IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING
  14. 14. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Functional Priorities 2016 Enterprise Management Associates14
  15. 15. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING 2016 Enterprise Management Associates Use Case Perspectives X-domain application/business service performance100% either deployed or actively in deployment Change management and or capacity management/infrastructure optimization60% deployed or in deployment Part A Part B Change/capacity more advanced but less successful 15
  16. 16. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING 2016 Enterprise Management Associates Functional Dimensions Domain reach6+ average Database, security, network, systems led Apps tops if add separate options Top for triage and diagnostics: Security, application infrastructure, network Top technical performance issues: Network, systems, storage Top technical change/capacity issues: Data quality management and cloud efficiencies 16
  17. 17. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING 2016 Enterprise Management Associates Top Business Metrics 1. Cost of external service delivery 2. SLA requirements 3. Revenue (through IT services) 4. Business Activity Metrics 5. Compliance metrics (PCI) 6. Cost of internal service delivery 7. Supply-chain-related outcomes 17
  18. 18. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING 2016 Enterprise Management Associates Top Use Cases for AIA in Support of Cloud 1. Improved network security 2. Hybrid cloud optimization 3. Compliance 4. Integrated security and performance 5. Real-time service performance 6. Business impact/financial optimization 7. DevOps/ agile continuous deployment 18 IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING
  19. 19. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING AIA and Dev/Ops/Agile priorities 19 2016 Enterprise Management Associates, Inc. 40% 39% 37% 37% 37% 34% 0% OPTIMIZE APPLICATION PERFORMANCE BY PROVIDING RAPID FEEDBACK TO DEVELOPMENT FROM PRODUCTION MINIMIZING THE TIME DEVELOPERS SPEND TROUBLESHOOTING PRODUCTION PERFORMANCE ISSUES TO SUPPORT THE APPLICATION DEVELOPMENT PROCESS DIRECTLY TO SUPPORT PRODUCTION/OPERATIONS IN HAND-OFFS FROM DEVELOPMENT TO PROVIDE FEEDBACK TO DEVELOPMENT TO OPTIMIZE APPLICATION DESIGN TO SUPPORT Q/A TEST OTHER What are your organizations Dev/Ops/Agile priorities for advanced analytics?
  20. 20. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Technology and Design 2016 Enterprise Management Associates, Inc.20
  21. 21. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING 2016 Enterprise Management Associates Priorities for Advanced Analytics Intelligence Average Nearly Four per Respondent 1. Process analytics 2. Anomaly detection 3. Predictive trending 4. Data mining 5. Real-time predictive 6. Rule-based analytics 7. Predictive simulation 8. Machine learning 21
  22. 22. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING 2016 Enterprise Management Associates Priorities for AIA Data Sources: Average = 5 per 1. Security Information and Event Management (SIEM) 2. Internet of Things (IoT) 3. Business process impacts 4. Transactionapplication performance 5. Transactionbusiness performance 6. Log files/ access logs 7. Agent data (byte code data) 22
  23. 23. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING More than 90% Are Currently Aggregating Data into a Central Data Store 23 2016 Enterprise Management Associates, Inc. 36% 27% 28% 5% 4% YES -OPEN SOURCE YES -COMMERCIAL YES - A MIX OF OPEN SOURCE AND COMMERCIAL NO NOT CURRENTLY BUT PLAN TO WITHIN THE NEXT TWELVE MONTHS Are you currently aggregating data into a central data store such as NoSQL databases, SQL databases, Hadoop, etc. in support of your IT analytics?
  24. 24. IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING 2016 Enterprise Management Associates Other Design Priorities 15 monitoring or other toolset integrations preferred on average Best if direct, or via aggregated data store provided by AIA vendor Only 4% were not interested in capturing interdependencies Top 3: Infrastructure to infrastructure Application to infrastructure Application to ap