7 tricks fake and cheap data vendors use to lure you.

Your stake in Research report is strategy for your growth.

Information Industry has never been in a mess as it is today, there are hundreds of fly by operators, with zero respect towards your Goals.

Check out the 7 tricks fake data vendors use, spending a minute on this, can save your precious time and money and most importantly you won’t miss the opportunity to grow your business.

Don't Risk your Profit Margins with Free or Cheap bulk data

Unscrupulous vendors lure customers with ridiculously cheap offers and also procure the data and reports (preferably your shipments) for few months from genuine vendors to establish trust.

Checking your own shipments is not enough.

This is not the final check as most people assume. Unscrupulous vendors get the reports initially from genuine vendors to establish trust. It is only when they don’t have data they supply fake recycled data.

Recycling data by changing date

Raw data in a excel sheet is not a branded product, all it is needed to produce new data is to change dates. We have seen data with date of 30th Feb. As very few people have qualified team to work on raw data, the errors at many times go unnoticed.

70% coverage or 100%.

There are many stages of a shipment, like Filing of Shipping Bill or Bill of Entry, Appraisal, LET Export Order or Out of charge. Most of the vendor just supply data of one stage.

There are more than 100 ports, a simple trick used is to supply only few ports after few months.

Fly by Night Resellers Chain

Such operators keep exchanging data among themselves nobody in the chain really knows if the data they have is actual or fake. It is game of chance where authenticity is always at stake.

Service & Timely Updation

There is scant regard for service and timely update after money is received, there is little reason left for them. The game is once a customer is acquired there is no one to service him.

Raw bulky data instead of product specific Dashboards

Raw bulky data is cheaper to extract, whereas a product specific dashboard requires qualified research team and effort in creating meaningful charts.

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