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
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Duplicate
Information
Incorrect or
Suspect Data
Incomplete or
Missing Records
Age old
Information
