Data entry is a crucial part of any digital transformation project. Data cleansing, transcription, and enrichment are challenging, especially in daily, large volumes. In-house data entry comes with speed and scalability challenges. Here are 4 reasons you should consider outsourcing the work to a data entry service. Learn more about outsourcing data entry work here: https://www.cloudfactory.com/data-processing-guide About CloudFactory: CloudFactory combines people and technology to provide cloud workforce solutions. Our professionally managed and trained teams can process data for machine learning and business process optimization with high accuracy using virtually any tool. We complete millions of tasks a day for innovators including Microsoft, GoSpotCheck, Hummingbird Technologies, Ibotta, and Luminar. We exist to create meaningful work for one million talented people in developing nations, so we can earn, learn, and serve our way to become leaders worth following. We're on four continents, with offices in the U.K., U.S., Nepal, and Kenya. To learn more, visit www.cloudfactory.com.

1. 4 Reasons
You Should
Outsource Data
Entry

2. 1. Hiring, hiring, and
hiring some more
Constantly hiring new employees to tackle your
growing data challenges is hardly practical, let
alone realistic. It takes an average of eight
months for a new hire to reach full productivity
so in-house teams lack scalability. Plus, data
entry is monotonous work that typically
increases turnover rates.

3. 2. Your team’s talent
should be focused
elsewhere
While your internal team might have the industry-
specific knowledge to carry out data entry tasks,
that doesn’t mean they should. If your team is being
taken away from great impact tasks to complete
tedious tasks, there’s a greater chance of job
dissatisfaction, which can compromise the quality
of your data (also adding to those increased
turnover rates already mentioned).

4. 3. Automation still
needs humans
Automation has advanced to such a level that it
can perform most routine data entry tasks but it
still encounters edge cases and makes mistakes.
For example, optical character recognition
(OCR) has an error rate between 5% and 20%.
You need human-in-the-loop (HITL) intervention
to make manual corrections for these
exceptions, ensuring quality.

5. 4. Data doesn't sleep,
but you should
Timeliness is important, especially where the
data in question can offer immediate value and
importance to your business. In-house teams
work during typical office hours, and overtime
can be expensive. Outsourcing to a quality data
entry partner allows work to be processed 24/7
while your in-house team is sleeping.

6. Hi. We’re CloudFactory.
We have 10+ years of experience providing data entry
and data processing for 360+ organizations across the
globe. Our well-trained managed teams are committed to
delivering high-quality data and can scale up or down
with your data processing needs.
Learn more about outsourcing data cleansing,
transcription, and enrichment at scale in our new guide,
Finding the Best Data Entry Services.
READ THE GUIDE