CARDINALITY Data With Attitude - UNIS Telekom d.d. … are a group of wireless telecommunications...

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Cardinality

CARDINALITY Data With Attitude

Cardinality


Cardinality

Cardinality Overview Cardinality are a group of wireless telecommunications engineers, architects,

data scientists, and software developers. The largest Big Data Hadoop Solution deployed in any telecommunications

operator in Europe. Cardinality have extensive radio design, optimisation and operational support

system (OSS) experience Leveraging innovative methodologies and pro-active approach

Already making an impact in 2016


Cardinality

Cardinality is…. 18 Month+ Start-Up, with secured catalyst customers & sound financial backing Founders have real world Big Data experience with Mobile Network Operators (MNOs) Using proven open source architectures, which has evolved based on analytics experience

gained from over 4 years using Hadoop clusters in multiple operators Tier One MNO Big Data contact won in summer 2015 (via open RFP, against large / established

“big data” companies) Initial volumes:

Big Data is tainted with hype – Cardinality identify, target, real business problems & solve them

ETL Throughput 30-40K events per sec (per thread)

Big Data Storage 10-12 billion complex rows/day (3-4 TB compressed per day)

Cache ~200 million complex rows (3-5GB)


Cardinality

The Maturity of Big Data


Cardinality

CARDINALITY’S Approach

Market Approach


Cardinality

Store

Co-relate

Analyse

Visualise Benefit

Approach

• Collect data from all network elements

• Our drivers are outcome lead, not analysis lead

• Information is the source of all benefit - identify and store

• Enrich and enable

• Analyse and Train

• Visualise and Output


Cardinality

Data Accessibility Data Transfer

Data Storage Data Correlation

Common Issues


Cardinality

Big Data Analytics

Architecture

CREA

TE

BU

ILD

DESI

GN

DEL

IVER

Cardinality Perception

How can we help?


Cardinality

ETL

Engi

ne

Anal

ysis

Engi

ne

Cardinality Perception

Visu

alisa

tion

Unconnected & Un-enriched data silo approach repeated in

New Data Lakes create unusable big data sets

Data Science driven enriched and connected data sets imported in Data Lakes using

Cardinality’s Perception Platform can be easily accessed by users and machines

Data Silos Vs. Enriched Data Sets

Traditional Approach


Cardinality

DB Hadoop

Real Time Decision Engine

Streaming Data

Files

Other Data

Streamed Data Handler

File/Offline Data Handler

Other Data Handler Flow

Data A

nalysis & E

TL

API I N T E R F A C E

Learner Engine

Real – Time Privacy Filter (MSISDN, IP address(Client/Destination), UA Agent, Domains etc.)

Perception Platform


Cardinality

Open Approach to Infrastructure

Cloud (Public, Private, or Hybrid)

Appliance Model (Pre-Built)

Data Centre

✔ ✔ ✔


Cardinality

Data Sources User Plane Data • DPI • Proxy • Probes

Control Plane Data • MME/GGSN • Probes • PCRF

Other Network Data • Subscriber Location • Probes • Network

Performance

CDRs • Voice • SMS • Data • Roaming

Reference Data • Tariff Data • Cell Site Reference • Demographics

Other Data Sources • Marketing

Promotions • Customer Feedback


Cardinality

DATA

Network Radio Analytics Congestion Analytics Video Analytics Location Based Analysis Network Performance

Business & Finance Cell Profitability Tariff Profitability Future Network Investment

Analysis

Customer Services Near RT customer issues Churn Prediction & Prevention Customer Loyalty

Marketing Customer Segmentation Segment of One Device & Tariff Upsell New Tariffs Content Upsell OTT impact

360 Degree use of Big Data


Cardinality Virtual Drive Test


Cardinality


Cardinality

www.cardinality.xyz [email protected]

Date post:	11-Mar-2018
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CARDINALITY Data With Attitude - UNIS Telekom d.d. … are a group of wireless telecommunications...

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