O V E R V I E W
Inspector General of Revenues and Stamps, Government of
Madhya Pradesh, India. The department is responsible for
levying and recovering duty on all real estate assets transfer or
lease. With over 100,000 transactions in a year and revenue in
excess of USD 2billion,
Department is working on twin objective of maximizing the
revenues and cutting the operational costs while making it
convenient for stakeholders. The elaborate recording of each
transaction has created over 4 terabytes of data which was to be
scanned for insights.
One of the objectives of maximizing revenues was to catch fraud
of misreporting and mis-inputting of data

A P P R O A C H
Logikview‘s data architect and domain experts made a deep dive
into the legacy system of the department and then created the
project strategy. Using its indigenously built tool,
Logikview brought all data present in silos on to one canvas.
Thereafter using the intuitive data cleansing abilities of the tool
we cleaned the data and prepared it for analysis.
Logikview did text-mining of the registry deeds and the details
contained therein. This was achieved with NLP and patternmapping and the data thus culled out as compared with the form
data which was already cleaned and prepared.

O U T C O M E
On top of this prepared data the fraud detection analysis was
built. Under-reporting of the sale value in the form data was
identified when compared with the data discovered by mining the
text of deeds. Another way of duty evasion identified was wrong
categorization of the transaction.