Data Acquisition is one of the major Big Data challenges. Data is a crucial part of analytics which helps in decision making. But obtaining high quality data is easier said than done. Without the right data, you cannot get accurate analysis, you will never know what users/people are talking about your product or services, you will be limited in your decision making & much more. Businesses tend to do a lot mistakes while acquiring data, which results in a huge loss. As they say, "An ounce of prevention is worth a pound of cure" - have a look at the 5 most common mistakes people do while acquiring data and avoid making them.

1. 5
most common
mistakes of
DATAAcquisition

3. Data Acquisition
It is the process of
gathering, filtering and
cleaning the data before
it is put in a data
warehouse or any other
storage solution on which
data analysis can be
carried out.
Data acquisition is one of the major big data
challenges
What is
!

4. Mistake
#1
It is very important to acquire
data from the most relevant &
credible sources, depending on
your target segment
Choosing any random or all data
sources available will often give
you irrelevant data
In recent times, there have been
drastic increase in the way data
can be acquired from many new data
sources.

5. Other types of sources can be Activity-generated data, Legacy documents,
Surveys etc. All you have to do is look for the right source for your business
Internet of Things Sensor Networks
Open data on
the Web
Data from mobile
applications
social network data
Datasets inside
organizations
!

6. Mistake
#2
With new data sources,
come new methods of
acquiring data
“Using the same old methods for
acquiring data cannot be as
effective as they used to be
It is very important to acquire
data which is clean, ready to use
and at the right time
Earlier, data acquisition was done
manually, but now there are web
scraping services available, which
make your work easier & save your
time

7. Mistake
#3
Focusing on quantity will invite a
lot of irrelevant data
You will waste your time &
resources by acquiring data from
unwanted sources
Data cleaning will become tedious
& time consuming task
Data Analysis will show inaccurate
results due to low quality data
It is better to have fewer
data of quality than too
much expandable junk
Quality
Quantity
!

8. Improving the quality of data will result
in reduced costs, improved efficiency,
better insights and enables collaboration
across verticals.
The right quality is the data that is
complete, accurate & consistent, available,
time-stamped and industry standards-based.
But obtaining high quality data is easier
said than done. The best way to quickly &
easily acquire data at low cost is
collaborating with a good web scraping
service provider.
Why

9. Mistake
#4
Acquiring data in-house can be
exhausting & will cause lot of
problems if you are acquiring
large amount of data
It will incur an huge additional
cost to setup & configure the
infrastructure needed to maintain
the acquired data and upkeep &
monitoring of stack
You won’t get time to focus on
your core product, since you will
be putting more efforts in
acquiring data in-house
It will incur an additional
cost of hiring experts!

10. • Must deliver low, predictable
latency in both capturing data
and in executing queries
• Should be able to handle very
high transaction volumes
• Preferably in a distributed
environment
• Should support flexible and
dynamic data structures
Pro Tip: Let the
experts acquire data
for you
!

11. Mistake
#5
Data Analytics is the key, but if
there is no data, there will be no
analytics
There will be no increase in
overall value of your product or
services
You will never know what your
users & others are talking about
you
You will be limited in your
decision making
I am goanna need you
to bring more data
Without data you’re just
another person with an
opinion - W. Edward Deming

12. Data offers valuable insights for any
business
Data is a crucial part of analytics which
helps in decision making
Data can be used for new Customer Acquisition
You can achieve more target oriented
promotions by combining diverse sources of
data
Why Acquire
In short, not acquiring data will be the biggest mistake
which may result in a huge business loss

13. Thank you