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Increasing possibilities with HR Tech
A case study on how HIREalchemy’s iParser helped a staffing firm
attain efficiency through process automation
© 2016 EdGE Networks 2
Find your way through the presentation
 Slide 3
 Slide 5
 Slide 19
: A few statistics in hiring
: Case study
: About us
© 2016 EdGE Networks 3
The talent war is raging all over the world.
Take a look for yourself:
© 2016 EdGE Networks 4
Staffing services supply about
8.6 million workers every
year each year
Demographic shifts are creating
a diverse, multigenerational
workforce
91 percent of staffing firms
expect to see at least 10%
growth in 2016
Source: http://www.bullhorn.com/blog/2016/02/staffing-industry-trends-2016/, https://enlightenme.com/staffing-services/
http://thehiringsite.careerbuilder.com/2015/03/03/top-staffing-industry-trends-2015/
© 2016 EdGE Networks 5
The tremendous growth in our clients business
(a staffing organisation) required them to
create a robust database of resumes and
deliver timely results
© 2016 EdGE Networks 6
This meant that we had to develop a method
to read unstructured information found in
resumes online and do it in an efficient and
quick manner
© 2016 EdGE Networks 7
Here’s what happened…
© 2016 EdGE Networks 8
The problems they faced
© 2016 EdGE Networks 9
 Downloading resumes received from various sources such as email,
job portal into a centralized repository.
 Extracting candidate’s information such as Name, Email, Mobile, Work
Experience, etc. from unstructured resumes.
 Parsing and matching the right candidate with relevant skills (external
candidates and internal profiles) to the client’s requirement
 Delivering best-fit matches within the stipulated time.
 Saving time and effort in allocating resources
© 2016 EdGE Networks 10
How we decoded it
© 2016 EdGE Networks 11
Experts at EdGE networks thought that the
issue could be solved using HIREalchemy’s
iParser feature
© 2016 EdGE Networks 12
How iParser works
© 2016 EdGE Networks 13
Reads resumes that
are in unstructured
formats
S.No Name Age Edu.
1. XX X P
2. YY Y P
3. ZZ Z Q
S.No Name Age Edu.
1. XX X P
2. YY Y P
1
Transforms them into
structured fields in a
database
2
Filters resumes based
on pre-defined
criteria
3
© 2016 EdGE Networks 14
How we implemented it…
© 2016 EdGE Networks 15
Steps Taken
The product was seamlessly
integrated into the client’s
existing system
How they helped
Email ids of all recruiters were
registered with an app powered
by iParser
The product was implemented
using an API which did not
require the existing systems to
be modified
Recruiters continued working
on a system they were
comfortable with
Attachments from emails were
automatically downloaded and
updated in the relevant fields in
the resume database,
The data resided within the
customer’s corporate
network, shielded from the
World Wide Web.
© 2016 EdGE Networks 16
HIREalchemy possesses self–learning intelligence
which means that the engine learnt from every job
adding to the accuracy of resume matches the
engine throws up.
© 2016 EdGE Networks 17
And we achieved great results!
© 2016 EdGE Networks 18
Resume database grew from
50000 to 1mn in 4 months
Increased Staff Productivity
58%reduction in hiring cost
All resumes received or sent by
email were downloaded, parsed
and uploaded automatically to
internal database.
Resumes downloaded from job
portals were parsed at proxy
level and added to the database
Resume matches
expanded by 4-5 times
Wider resume database and
automation
Better resume matches,
reduced cycle time and cost of
hiring.
Automations of
processes saved time
and increased
productivity
Better Search Result
© 2016 EdGE Networks 19
Who we are and what we do
Learn more about Edge Networks and HIREalchemy
© 2016 EdGE Networks 20
About Edge Networks
© 2016 EdGE Networks 21
We are the Workforce Warriors.
We believe in using the steel of data science to wield our
influence in battling your toughest talent acquisition and
workforce optimization challenges.
To reengineer human resource management, we harness NLP
algorithms and a powerful skill repository built as an
Artificial Neural Network.
Insights and predictions are our forte; we add an
intelligence layer to HR systems that transform your
workforce.
© 2016 EdGE Networks 22
About HIREalchemy
© 2016 EdGE Networks 23
HIREalchemy is a combination of Natural Language
Processing, Artificial Intelligence, and Predictive Analysis,
Predictive
Analysis
Natural
Language
Processing
Artificial
Intelligence
HIREalchemy
© 2016 EdGE Networks 24
HIREalchemy is a single platform for Talent Acquisition and Workforce
Optimization. Here are some of the features it offers:
 Skill Analysis
 Position Management
 Geolocation
 Powerful Search
 Resume Analysis
 Fitment Score
 Learning Path
 Wide Job Site Integration
© 2016 EdGE Networks 25
Connect with us now!
© 2016 EdGE Networks 26
Thank you

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Case Study: HR Tech helps staffing firm attain efficiency

  • 1. Increasing possibilities with HR Tech A case study on how HIREalchemy’s iParser helped a staffing firm attain efficiency through process automation
  • 2. © 2016 EdGE Networks 2 Find your way through the presentation  Slide 3  Slide 5  Slide 19 : A few statistics in hiring : Case study : About us
  • 3. © 2016 EdGE Networks 3 The talent war is raging all over the world. Take a look for yourself:
  • 4. © 2016 EdGE Networks 4 Staffing services supply about 8.6 million workers every year each year Demographic shifts are creating a diverse, multigenerational workforce 91 percent of staffing firms expect to see at least 10% growth in 2016 Source: http://www.bullhorn.com/blog/2016/02/staffing-industry-trends-2016/, https://enlightenme.com/staffing-services/ http://thehiringsite.careerbuilder.com/2015/03/03/top-staffing-industry-trends-2015/
  • 5. © 2016 EdGE Networks 5 The tremendous growth in our clients business (a staffing organisation) required them to create a robust database of resumes and deliver timely results
  • 6. © 2016 EdGE Networks 6 This meant that we had to develop a method to read unstructured information found in resumes online and do it in an efficient and quick manner
  • 7. © 2016 EdGE Networks 7 Here’s what happened…
  • 8. © 2016 EdGE Networks 8 The problems they faced
  • 9. © 2016 EdGE Networks 9  Downloading resumes received from various sources such as email, job portal into a centralized repository.  Extracting candidate’s information such as Name, Email, Mobile, Work Experience, etc. from unstructured resumes.  Parsing and matching the right candidate with relevant skills (external candidates and internal profiles) to the client’s requirement  Delivering best-fit matches within the stipulated time.  Saving time and effort in allocating resources
  • 10. © 2016 EdGE Networks 10 How we decoded it
  • 11. © 2016 EdGE Networks 11 Experts at EdGE networks thought that the issue could be solved using HIREalchemy’s iParser feature
  • 12. © 2016 EdGE Networks 12 How iParser works
  • 13. © 2016 EdGE Networks 13 Reads resumes that are in unstructured formats S.No Name Age Edu. 1. XX X P 2. YY Y P 3. ZZ Z Q S.No Name Age Edu. 1. XX X P 2. YY Y P 1 Transforms them into structured fields in a database 2 Filters resumes based on pre-defined criteria 3
  • 14. © 2016 EdGE Networks 14 How we implemented it…
  • 15. © 2016 EdGE Networks 15 Steps Taken The product was seamlessly integrated into the client’s existing system How they helped Email ids of all recruiters were registered with an app powered by iParser The product was implemented using an API which did not require the existing systems to be modified Recruiters continued working on a system they were comfortable with Attachments from emails were automatically downloaded and updated in the relevant fields in the resume database, The data resided within the customer’s corporate network, shielded from the World Wide Web.
  • 16. © 2016 EdGE Networks 16 HIREalchemy possesses self–learning intelligence which means that the engine learnt from every job adding to the accuracy of resume matches the engine throws up.
  • 17. © 2016 EdGE Networks 17 And we achieved great results!
  • 18. © 2016 EdGE Networks 18 Resume database grew from 50000 to 1mn in 4 months Increased Staff Productivity 58%reduction in hiring cost All resumes received or sent by email were downloaded, parsed and uploaded automatically to internal database. Resumes downloaded from job portals were parsed at proxy level and added to the database Resume matches expanded by 4-5 times Wider resume database and automation Better resume matches, reduced cycle time and cost of hiring. Automations of processes saved time and increased productivity Better Search Result
  • 19. © 2016 EdGE Networks 19 Who we are and what we do Learn more about Edge Networks and HIREalchemy
  • 20. © 2016 EdGE Networks 20 About Edge Networks
  • 21. © 2016 EdGE Networks 21 We are the Workforce Warriors. We believe in using the steel of data science to wield our influence in battling your toughest talent acquisition and workforce optimization challenges. To reengineer human resource management, we harness NLP algorithms and a powerful skill repository built as an Artificial Neural Network. Insights and predictions are our forte; we add an intelligence layer to HR systems that transform your workforce.
  • 22. © 2016 EdGE Networks 22 About HIREalchemy
  • 23. © 2016 EdGE Networks 23 HIREalchemy is a combination of Natural Language Processing, Artificial Intelligence, and Predictive Analysis, Predictive Analysis Natural Language Processing Artificial Intelligence HIREalchemy
  • 24. © 2016 EdGE Networks 24 HIREalchemy is a single platform for Talent Acquisition and Workforce Optimization. Here are some of the features it offers:  Skill Analysis  Position Management  Geolocation  Powerful Search  Resume Analysis  Fitment Score  Learning Path  Wide Job Site Integration
  • 25. © 2016 EdGE Networks 25 Connect with us now!
  • 26. © 2016 EdGE Networks 26 Thank you