sysmech the zen of consolidated network performance management

Click to edit Master title style

Zen – Consolidating Systems – June 2014

What do you want from a Supplier?

What is the Best Processing Engine on Earth?

• Data Capture – >30 Senses• Sight – what do you see

with?• Impulses – Amdigulla /

Reptilian Brain• Frontal Lobe - Planning

Social Gaming – Something from Nothing

Social Gaming – Key Factors

• 10s Millions of DAU (Candy Crush >54M)• 20% of Value of Facebook at IPO• Transient Customer Loyalty• Only Emotional Lock-In• No Business case/Business without Analytics• Capture Everything, Delete Nothing

The Kings of Big Data Analytics

Data Integration

Data InsightReal-Time Action

Real Time Big Data Capture

Build Profiles:• Users• Patterns

Identify patterns

Which patterns drive actions?

Real-Time:• Recognise Patterns• Make Offers• Drive Behaviour• Monetise

10’s Millions of DAU Every click>80 Billion records

So What?

• Data Capture – Network Counters – How many / Day?• Data Volumes – PetaBytes (1997 1PB = £340M, $551M)• Insight – Pattern identification through Visualisation• Automation – Volumes beyond Human Capabilities• Evolving Action Scenarios – Data Driven

Analogies to Mobile Networks?

Big Data in the Telco World?

• 100s of Users not a handful of Data Scientists• 10s of Data Sources not 1, 2, 3• Data Profiling is Current/NOW (Social Gaming may be

days/weeks)• Historic Data must be Immediately Accessible (Not 15

Minutes)• Network Events Trigger Actions –Activity, Alerts, Alarms• 1000s of people• Massive Infrastructure/Installed base

Same Volumes, Different Models

So, Big Data = Hadoop?

Hadoop is: Massively Scalable File System

No Data Model“Slow” by DesignOutputs can be

“Approximate” Open Source

Hadoop is not: Structured or analysis/query friendlyFast, Quick, Timely –

Real-time!Precise

It Depends

Performance Analytics in 2014

• Multi-Domain• Multi-Technology• 50+ NEs• Open and Interactive• Multi-Tenanted• Flexible UI – Email, Desktop, Web, Mobile• Inherently Real-Time• Replace 10s of Apps

The People Demand …

Einstein said

"We can't solve problems by using the same kind of thinking we used when we

created them."

Zen – The Model for Telco Big Data Analytics

Actions

RDBMS - the same for 30 YearsWhy?

Actions

IntegrateData Model

Big Data AnalyticsHistorical

Actions

IntegrateData Model

InsightBusiness Intelligence

Visualisation Analysis

Reports Dashboards

Actions

IntegrateData Model

Reports Dashboards

ImpulseReal-Time Automation

IntegrateData Model

Reports Dashboards

IntellectCross Domain, Automation & Trending

IntegrateData Model

Reports Dashboards

Solution Pack

IntegrateData Model

Reports Dashboards

Solution Pack

on Pack

Solution Pack

on PackA

ction Pack

IntegrateData Model

Reports Dashboards

Solution Pack

on Pack

ActionsInterfaces

Import

Export

Import

Solution Pack

on PackA

ction Pack

Zen Integration

What is the Best Processing Engine on Earth?

• Integration - Senses• Impulse -

Amdigulla• Insight -

Pictures• Intellect - Thought

• An MPP Platform?

Mobile Telco Case Study

• >95 Billion Counters / Day• Real Time Processing – Data Latency <7 Seconds• 10 Radio technologies and 3 Generations• 2 Small Cell Technologies• >40 Network Interfaces• Fault, Problem Management• >400 Users• Mulit-OpCo Multi-Tenanted

What do you get with SysMech?

• Real-Time and Historic Performance Management

• Web 2.0 Visualisation• Degrees of Automation• Comprehensive and Flexible

KPI Library• Opex Light Cost Model• Application Consolidation• Multi-Tenancy

• Real-Time / “Zero” Latency• Unlimited Scalability• E2E Network View• Broad User Community• Simple Interaction with

Other Systems• Fault, Performance and

Service Domains• Service Monitoring

Jack Welsh Said

“If you can’t measure it, you can’t manage it”

Big Data Analytics

Operational Analytics =

Big Data + Pictures + Automation

Contact Details

Andy StubleyVP Sales and Marketingandy.stubley@sysmech.co.ukT: +44 (0) 118 933 2220M: +44 (0) 7827 808888

sysmech the zen of consolidated network performance management

data profiling

systems mechanics

master title style

data model slow

s of data sources

data volumes petabytes

daysweeks historic data

handful of data scientists

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