Business Process

Intelligence 2.0

Tom Wisnasky, Kansys Inc.

Strategist

Chris Knight, Cirries Technologies

VP of Product Management &

Sales Engineering

Brian Preston, Kansys Inc.

VP of Account Services

Business Process

Intelligence 2.0

Headquartered in Richardson TX, USA

• Leading provider of Maestro, a signaling and data controller

• Founded in 2006

• Headquarters in USA with offices in Bolivia (Cochabamba), Mexico (Mexico City) and Russia (Moscow)

• Our Mission: “Orchestrate Data, Harmonize Networks”

• Go-to-market strategy through channels, partners, and local system integrators

• Supporting 80M+ subscribers in Tier 1 operators worldwide

Business Process

Intelligence 2.0

Headquartered in Olathe KS, USA

• Established 1997 in Kansas City by to support

Communication Service Providers (CSPs) with the following

needs:

• BSS/OSS projects

• Business Process Optimization

• Hosted Data Warehouse Consolidation

• Reporting & Business Analytics

Business Process

Intelligence 2.0

Kansys & Cirries Partnership

• Established 2010

• Cirries designed and built the logic engine for

signaling & data

• Kansys collects, enhances and provides

visualization for the data streams

• The two solutions together complete the need

for real-time Business Process Intelligence

Solution Overview

Real-time Data Analytics

CCaaS = Converged Charging as a Service

ONE IDENTITY, ONE BALANCE, ONE BILL

CPaaS

CCaaS

3G

Fixed

LTE

Enterprise 2G

Subscriber

Profile

Repository

PCRF

OCS OFCS

AAA

HSS

CPaaS = Converged Policy as a Service

ANY SERVICE, ANY NETWORK, ANY TIME

Business Process

Intelligence 2.0

Analytics Examples

Business Process

Intelligence 2.0

Check Type Determines check threshold check to use

Home Country Home country - Excluded from rolling average calculation

Minutes of Use Threshold Threshold of daily minutes to be included in alerts

Rolling Average Days Number of days used to calculate the rolling average

Tolerance - High Percentage of tolerance for countries with an average over the

Tolerance break

Tolerance - Lo Percentage of tolerance for countries with an average under the

Tolerance break

Tolerance Break Value where high and low breakpoint happens

Business Process

Intelligence 2.0

Analytics Configuration Example

50B+ devices generates over >1,000 Petabytes of network data each year.

Data Sources Continue to Grow

9

Database

Data Warehouse

Network

Business

Residential Mobile

Data Center

Utilities

Devices on Networks

Data Volume

Data Grid & Storage

Real-Time Queuing & Messaging Bus

Network

Application

Analytic

Systems

“Big Data”

Network

“Smart Data”

Consumers

3G LTE IP

Data Collect,

Extract,

Normalize

& Filter

Lo

ca

l / Re

gio

na

l

Queuing &

Distribution

Clo

ud

Data

Route

& Load-

Balance

Data

Storage,

Index &

Search

Network

Management

System

Big Data to Smart Data

Maestro

Data

Controller

10

Maestro

Data

Controller

Maestro

Data

Controller

Maestro

Data

Controller

The Data Controller

Carrier-grade, High-speed,

Real-time, Low-latency

Network Engine

Big Data Apps SDN Apps

Data

Store/Grid Analytics

Network

View

Network

Config

Data Collector/Extractor

UDP

Packets

FTP

Files

SNMP

Traps

Ethernet

Packets

NetFlow/IPFIX

OpenFlow

Facilities

Timer

Alarm

Object

Repository

Logging

Statistics

OAM&P

(Web/CLI)

Distributed Data

Storage

Message

Queuing

Fixed Mobile IMS/LTE Broadband NETWORK

LAYER

SERVICE

LAYER

Application Abstractor (e.g., REST, SOAP, HTTP, XML)

Rules Engine

Data Normalization/Reduction

Data Filter

Toolkit

Rules Editor

Data Router and Load Balancer

Messaging Switching Bus

(Cluster for high scalability and carrier-grade availability

Cloud 11

• : Throughput

– Downlink

– Uplink

– Signaling

• Type of network: 2G or 3G

• User Information

– MSISDN

– Handset

• Model

• Classification (Feature phone, Web phone, Smartphone, Tablet, Modem)

• Location (cell site)

• Traffic per minute

– HTTP

• Top 10 URLs

• Type of service (YouTube, Net Movie)

• Video

• Audio

• File Sharing

– Email

– Audio

• Type of service (YouTube, Net Movie)

– P2P

– IM

• Type of service (WhatsApp, Skype, Google Talk)

– Voice-over-IP

• Type of service (Skype, Google Talk)

– Video-over-IP

• Type of service (Skype, Google Talk)

Mobile Network Use Case

12

Solution Configuration Centralized

13

Data Controller

GGSN

(NSN)

GGSN

(NSN) …

GGSN

(E///)

GGSN

(E///) …

DSR

(TKLC)

DSR

(TKLC) …

Cloud-based

Data Store/Grid

Report

Apps

Solution Configuration Distributed

14

GGSN

(NSN)

GGSN

(NSN) …

GGSN

(E///)

GGSN

(E///) …

DSR

(TKLC)

DSR

(TKLC) …

Data Controller

Cloud-based

Data Store/Grid

Report

Apps

Data Controller

Data Controller

Data Controller

Data Controller

Data Controller

Distributed Message Bus

Maestro in Telecom Orchestrate any app, any protocol, any network

15

INAP, AIN CAP, WIN, MAP Diameter

SIP

SIP, RADIUS

HLR/HSS EIR

MAP

Diameter

PCRF PDF

Diameter

OCS CDF

RADIUS

Diameter

CAP, WIN

AAA

RADIUS

Diameter

VAS

SIP

CAP, WIN

AIN, INAP

Maestro

Signaling

Controller

Fixed Mobile IMS/LTE Broadband

Business Process

Intelligence 2.0

Questions?

Summary

• Reduce CapEx

• Reduce OpEx

• Control Fraud