Impact of

BADDATA

Bad Data costs the

US $3T

PER

YEAR3

DATA DECAYS

@ rate of 25% annually

DATA AGGREGATED

from Disparate Sources

INADEQUATE

data strategy

POOR TECH

integration orlack of it

HUMAN ERROR

or Skills Shortage

INSUFFICIENT

Budget/Priority

Poor Data Qualitycosts organizations

an average of

$10-15M

A YEAR4

You might be ShellingOut as much as

$100 PER

DIRTY

RECORD2

Poor Quality datacan cost businesses

at least 30%OF THEIR

REVENUES1

SOME ALARMING FACTS ABOUT BAD DATA

companies struggle with

POOR DATA QUALITY70%Around

4x faster

Help you reach decision makers

40%

Reduce sales cost by

300%

Increases chances of prospecting by

21

4 3

WHAT IS BAD DATA?

WHAT CREATES A BAD DATA TRAP?

BAD DATA CAUSES A DOMINO EFFECT

~20% companieslose a potential client

Inefficient decision-making affects customer service & hikesoperational costs

Inaccurate Segmentation &

targeting can prolongs the sales

cycle by 30-40%

Data analysts spend over

60% of productive time on cleansing data

WHAT CAN GOOD DATA DO…

Resolve your data challenges with usA trusted data solutions partner to fortune enterprises

Data-as-a-Service | Data Cleansing | Data Analytics | Content Moderation

SOURCES: 2. Sirius Decisions 3. Harvard Business Review 4. Gartner1. Ovum

Datamatics Business Solutions Ltd. (DBSL) is a pioneer in providing intelligent Business Process Management (iBPM) services.

Our integrated offerings include; Database Solutions & B2B Marketing, Demand Generation & Sales Acceleration, Business Research,

Finance & Accounting Outsourcing, Payroll and Contact Center Services. We leverage emerging technologies like Robotics, Machine

Learning and Artificial Intelligence to power human-machine collaboration & enable seamless delivery. As a trusted partner to Fortune

1000 companies; our focus is on driving revenue growth, operational excellence, cost efficiency & customer intimacy for global clients.

We serve customers across the globe and industries like Technology, Banking & Financial Services, Media & Publishing, Events,

Manufacturing, Healthcare, Automotive, Retail & CPG, Travel & Logistics and Telecom.

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Duplicate

Information

Incorrect or

Suspect Data

Incomplete or

Missing Records

Age old

Information