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BIG DATA
CHALLENGES
VOLUME
SCALE OF DATA
It’s estimated that
of data are created each day
2.5
QUINTILLION BYTES
(2.3 TRILLION GIGABYTES)
VARIETY
DIFFERENT FORMS
OF DATA
ACCURACY
UNCERTAINTY
OF DATA
have mobile phones
6 BILLION
PEOPLE
Most companies
have at least
of data stored
100 TERABYTES
(100,000 GIGABYTES)
CALCULATING THE TRUE COST
OF DATA QUALITY
that monitor items such as fuel
level and tyre pressure
100 SENSORS
420 MILLION
WEARABLE, WIRELESS
HEALTH MONITORS
There are
150 EXABYTES
(161 BILLION GIGABYTES)
As of 2011, the global size
of data in healthcare was
estimated to be
BUSINESS LEADERS
There are
who don’t trust
the information
they use to
make decisions
$3.1 TRILLION A
YEAR
Poor data quality costs the US
economy around
OF
RESPONDENTS
in one survey were unsure of
how much of their data was
inaccurate
1 IN 3
to manage
production
risk and
compliance
27%
OPERATIONS &
FINANCE
for customer
acquisition +
loyalty
SALES &
MARKETING
UNHAPPY
CUSTOMERS
IDENTIFYING THE
WRONG OPPORTUNITIES
MISSED OPPORTUNITIES
Deal with your data quality challenges using the best tools and trusted
frameworks with the data quality framework from certus solutions.
for growth
+ future
opportunity
STRATEGY &
SUSTAINABILITY
WITH EACH AREA OF THE BUSINESS WANTING MEANINGFUL,
ACCURATE AND TIMELY DATA FOR....
Information Managers
are at the centre of balancing the competing
needs of the business to deliver on their
Information Management requirements.
Depending on your industry, big data now encompasses information from quite
diverse sources – both internal and external. From transactional and social data, to
enterprise content, as well as contextual data derived from sensors and mobile devices.
The volume, sources and types are driving the need to improve the accuracy and veracity
of information – so that correct and meaningful insight can be obtained reliably.
A financial organisation deploying their initial Data
Quality measurements against only 5 elements of
member data measured a business impact in excess of
$1.5M with a cost to remediate of less than 5K.
This is just one aspect of what poor data
quality might be costing you...
QUANTIFYING THE VALUE OF YOUR DATA
AND UNLOCKING ITS TRUE POTENTIAL
THROUGH DATA QUALITY IS NOW A MAJOR BUSINESS IMPERATIVE.
Find out more at certussolutions.com/data-quality
Modern cars have close to
Insurance Company Example

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Big Data Challenges: Quantifying the Value of Your Data and Unlocking Its True Potential Through Data Quality

  • 1. BIG DATA CHALLENGES VOLUME SCALE OF DATA It’s estimated that of data are created each day 2.5 QUINTILLION BYTES (2.3 TRILLION GIGABYTES) VARIETY DIFFERENT FORMS OF DATA ACCURACY UNCERTAINTY OF DATA have mobile phones 6 BILLION PEOPLE Most companies have at least of data stored 100 TERABYTES (100,000 GIGABYTES) CALCULATING THE TRUE COST OF DATA QUALITY that monitor items such as fuel level and tyre pressure 100 SENSORS 420 MILLION WEARABLE, WIRELESS HEALTH MONITORS There are 150 EXABYTES (161 BILLION GIGABYTES) As of 2011, the global size of data in healthcare was estimated to be BUSINESS LEADERS There are who don’t trust the information they use to make decisions $3.1 TRILLION A YEAR Poor data quality costs the US economy around OF RESPONDENTS in one survey were unsure of how much of their data was inaccurate 1 IN 3 to manage production risk and compliance 27% OPERATIONS & FINANCE for customer acquisition + loyalty SALES & MARKETING UNHAPPY CUSTOMERS IDENTIFYING THE WRONG OPPORTUNITIES MISSED OPPORTUNITIES Deal with your data quality challenges using the best tools and trusted frameworks with the data quality framework from certus solutions. for growth + future opportunity STRATEGY & SUSTAINABILITY WITH EACH AREA OF THE BUSINESS WANTING MEANINGFUL, ACCURATE AND TIMELY DATA FOR.... Information Managers are at the centre of balancing the competing needs of the business to deliver on their Information Management requirements. Depending on your industry, big data now encompasses information from quite diverse sources – both internal and external. From transactional and social data, to enterprise content, as well as contextual data derived from sensors and mobile devices. The volume, sources and types are driving the need to improve the accuracy and veracity of information – so that correct and meaningful insight can be obtained reliably. A financial organisation deploying their initial Data Quality measurements against only 5 elements of member data measured a business impact in excess of $1.5M with a cost to remediate of less than 5K. This is just one aspect of what poor data quality might be costing you... QUANTIFYING THE VALUE OF YOUR DATA AND UNLOCKING ITS TRUE POTENTIAL THROUGH DATA QUALITY IS NOW A MAJOR BUSINESS IMPERATIVE. Find out more at certussolutions.com/data-quality Modern cars have close to Insurance Company Example