Operational Intelligence

Opportunities

What is Operational Intelligence (OI)

• Category of real-time dynamic, business analytics that delivers visibility and insight into data, streaming events and business operations. • OI solutions run queries against streaming

data feeds and event data to deliver real-time analytic results as operational instructions.• OI provides ability to make decisions and

immediately act on these analytic insights, through manual or automated actions.

Operational Intelligence

• Real-time monitoring and Event detection• Real-time dashboards• Correlation of events• Industry-specific dashboards• Multidimensional analysis

• Root cause analysis• Time Series and trending analysis

• Big Data Analytics• Continuous monitoring and analytics of

high velocity, high volume Big Data sources

Components

• Business activity monitoring (BAM) • Dashboard customization and personalization

• Complex event processing (CEP) • Advanced, continuous analysis of real-time information and historical data

• Business process management (BPM) • To perform model-driven execution of policies and processes defined as Business Process Model

and Notation (BPMN) models

• Metadata framework to model and link events to resources• Multi-channel publishing and notification• Dimensional database• Root cause analysis• Multi-protocol event collection

Comparison

Business Intelligence• Data-centric• On Demand, Post-fact• Input: Structured Data Sources,

RDBMS• Long term analytics for Reactive

planning

Operational Intelligence • Activity-centric• Real time dynamic business

analytics • Input : Data Stream, Machine

Data• Short term analytics of in-flight

data for Pro-active response

Opportunities and Key Markets

• Real Time Data stream analytics for • Telecom Operators • Banks• Security and Defense• Social Media• Inbound call centers

• Projected to be $ 140 Billion market by 2020. • Product and Services models• Key Markets • US, Europe and India• Telecom, Banking and internal

Security• Social Media Monitoring

Operational Intelligence for Retail Warehousing and LogisticsUse Cases

Retail - Why Machine Data MattersWhy?• Delivering a better customer experience• Scaling aggressively to meet customer demands • Quickly introducing services on new devices

How?• Servers, applications, databases and networks infrastructure

generate terabytes of machine data every day• Logs from Application, POS, Server, VM, Messaging, Proxy

logs, IPS/IDS, PCs and Mobiles devices • Interactions from Social Media

What to do :• Increasing online store uptime• Enhancing customer experience• Timely order processing• Scaling infrastructure• Better customer data security.

Order Profiling and Tracing for Better Service

An Order goes through, multiple applications and elements in an IT infrastructure • Machine data visibility across IT infrastructure helps Retailers eliminate transaction bottlenecks and

address them in a timely manner.

Systems and applications that span physical, virtual and cloud environments, • Retailers to have end-to-end visibility to ensure a scalable, flexible and reliable infrastructure -

indexing machine data from routers, switches, firewalls, wireless controllers and VM servers to gain key operational metrics.

Case :• Staples indexes data across their order management infrastructure to trace the order transaction

path. • they now have end-to-end monitoring across the systems traversed by a transaction rather than at

an individual system level. • Benefit : Decrease time to Resolution, Reduce resources required to troubleshoot issues.

BenefitsResolve Problems Faster, Reduce Downtime

• Gain end-to-end operational visibility across virtualized, private or public cloud infrastructure from a single, central interface• Find the root cause of problems up to 70% faster, without having to search through systems, server by server or virtual machine by virtual

machine• Monitor infrastructure in real time to prevent problems before they impact users, retain knowledge of recurring events to prevent outages• Reduce escalations by up to 90% by providing Tier 1 support staff direct and secure access to the data they need to resolve issues the first

time or to find the right team to work on problems

Correlate Events Across All Layers of Infrastructure• Find the causal links between user noticeable performance issues or outages and underlying infrastructure events with the time based

correlation• Combine real-time streaming data analysis with terabytes of historical data correlation and analysis to detect patterns that can help predict

and prevent future outages or performance issues• Persist 100% machine data from across every tier of datacenter - physical servers, network and storage devices, hypervisors, virtual

machines and applications, whether it is in datacenter or in public clouds• Monitor environment for changes and correlate instantly to system performance deviations, availability problems or security and

compliance issues

Reduce Costs of Providing IT Services• Support audits, compliance mandates, security forensics• Reduce the number of tools and skills you need to maintain to manage complex infrastructure

Goto Market strategy

• Phase 1• Develop Framework Definition and Architecture

• Metadata framework to model and link events to resources• Prototype for Complex event processing (CEP) and Business Activity Monitoring (BAM)

• Data Stream Monitoring and Analytics • BAM Dashboard customization and personalization• Pilot for 2-3 customers • Effort cap : 20-30 man months

• Phase 2• Framework Scrubbing and Refactoring • Multi-channel publishing and notification• Root cause analysis• Big Data analytics

• Phase 3• Market entry

Subbu Joissrjois@gmail.com+91 9945103337