JOB MINING JOB SEARCH

Abhi

JobMining & JobSearch

Naukri.com (Feb. 27, 2003 issue enclosed)

In this issue, I have marked:

• In Red → Adverts of Public Ltd. Companies

• In Green → Names of Recruitment / Placement Companies who have advertised on behalf of their clients

I presume all of these adverts are on Naukri.com website, so Sajida can easily download directly those which I have marked in RED.

Of course, she will need to “convert” these using our Advt. Convert software given to her. And when she does:

→ Actual advertiser’s name/contact data will get hidden.

→ Our email ID (apply@3pjobs.com) will replace original email ID.

She must, of course, send to us one copy of each advert with FULL/ORIGINAL content.

When we have compiled 100,000 such job-adverts (over next 12 months?), then using JOBMINE software (almost same as our Advt. Convert with a few small changes), we would process/categorize these job-adverts to uncover/discover following patterns/trends …… which would help us to carry out an aggressive/pro-active MARKETING DRIVE:

1. Industry-wise frequency distribution

   • Which are hot/sunrise sectors?

   • Which industries have maximum demand of executives?

2. Function-wise frequency distribution

   • Which “functions” are most sought after?

3. Age-wise frequency distribution

   • What is the “prime” age group?

4. Designation-level wise frequency distribution

   • At what “level” most recruitments are taking place?

5. Edu-level/branch wise distribution

   • What educational qualifications are in greatest demand?

6. City-wise distribution

• Which cities/regions have max job-offerings?

7. 7) Company-Name wise

   • Which companies are hiring most?

   • At what levels? For what functions?

   8) Job Descriptions / Keywords
   We would be able to “parse” all sentences appearing in job-description paras of each job-advt. & then arrange these:

   • Industry-wise

   • Function-wise

   • Design-Level wise

   We will do the same with “keywords” (as opposed to “key-phrases” & “key-sentences”).

   These analyses would help us in automatic “matchmaking” of resumes which also contain:
   → Same keywords/phrases/sentences (as found in job-adverts).

   Then you don’t need a consultant to manually enter “SEARCH PARAMETERS” into our “ResuSearch” & then wait for results to appear, & then, one by one, open each resume & read it to decide how well that resume “matches” the UN-EXPRESSED criteria specified by the client but which cannot be entered as “search-parameters”!

In ResuMine, we are trying to plot “FUNCTION EXPOSURE PROFILE” as follows:

(Graph sketch shown: bell curve with x-axis scale 20–80; Function = SALES; Population of Resumes = 95,000; marked at 30 & 50 as mid-points.)

Could it so happen, that if we process 100,000 job-adverts (JOBMINE), we could see a frequency distribution such as following emerge?

(Second graph sketch: x-axis scale 40–95; Job Advt No. drafted by VOLTAS; Function = SALES; Population of Job-Advt = 15,623; marked at 47 & 60 as reference points.)

If VOLTAS recruitment manager “composes” a job-advt using our WEBSERVICE (Advt-Compose Tool) & suddenly sees above-mentioned GRAPH emerge in front of his eyes, he would know (although he may not admit it!) that he has done a LOUSY JOB in drafting/composing the advt!

Now, from the dropdown LIST-BOX provided by us, he can choose/pick …

Some more

• keywords

• key phrases

• key sentences

pertaining to “SALES” function, and try again.

Now, he sees, “revised” graph as follows:

(Graph sketch: bell curve with Job Advt No. drafted by VOLTAS, x-axis 40–95, marked at 47–72 for revised range.)

This would be a tremendous DECISION SUPPORT SYSTEM.

Based on “DATAMINING” of 1 lakh job-advt. (and it will go on improving as we JOBMINE more & more).

If we can pull this off, recruitment would never be the same again!

Thereafter, no recruitment manager/HR manager would EVER want to advertise in:

→ Newspapers

→ Magazines

→ Jobsites

Remember: What we can do, others can do even better! But “first mover” has better chances of survival.

cc: Kartavya

cc: Inder / Anjara

Dated: 02/04/03