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At vyakar, we develop a state-of-the-art fuzzy match algorithm that is just not only quick & accurate yet also adaptable to fit to meet the different needs of the clients. To know more, get visit my site:- http://vyakar.com\n\n

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fuzzy match as service

FUZZY MATCH AS SERVICE

Vyakar’s Lead to Account matching

as a service offers performance and

flexibility

for

corporations

able

to

deploy

Management

Solutions.

time

match

result

accessible via API.

to

be

custom

Lead

real-

The

service

is

It

is

API

also

depending

possible

to

create

specific

custom

deployment requirements. Don’t let

a

canned

lead

dictate

the

way

information

and

deal

make

sure

you

have

industry has to offer.

on

routing

approach

manage

clients;

best

you

with

the

the

FUZZY MATCH ALGORITHAM

match rules

MATCH RULES

Fuzzy

provides

process

queries

sentences

database. If no exact matches for

a

sentence

or

phrase

then

fuzzy

matching

applied.

Matching

an

is

method

ability

matching

for

phrases

match

it

a

that

improved

word-based

search

that

to

to

or

from

a

are

found

can

be

In

fuzzy

will

above

percentage

although

matching,

made

the

set

an

attempt

match

matching

application,

100 percent.

be

to

threshold

by

not

find

a

the

quite

MATCH ACCOUNT LISTS

over the years vyakar has developed a fuzzy match

Over the years, Vyakar has developed a fuzzy match algorithm consisting

of over tens of thousands of rules and data points. Here are some items

taken into account:

 A

business

variations. Our algorithm ties the web domain to email domain, and

ultimately to the corporation.

or

establishment

can

have

more

than

one

email

domain

 Not all famous companies are known as how they are today. Did you

know that Sound of Music is now known as Best Buy? Or that Research in

Motion

is

now called

Blackberry?

called Nike? Our algorithm will know the old names and new names of

companies.

Or that

Blue Ribbon

Sports

is now

 Vyakar algorithm is built to match with geographically closer account

when more than one location are available for same account.

match preference

MATCH PREFERENCE

You

level

appropriate

purposes:

can

to

select

fuzzy

the

acceptance

accounts

your

business

match

for

as

 Level

Special

1:

Strict

Match,

Suffixes,

 Characters, Web Domain, Custom

Rules

 Level 2: Level 1 + Popular Names

and Acronyms

 Level 3: Level 2

Acquisition

+ Mergers

and

FUZZY MATCHING

manual resolution

MANUAL RESOLUTION

Though

matching

human

override

periodically

results, flag the matched records

and automatically apply these to

future matches.

the

lead

automated,

can

anytime.

review

to

account

is

but

or

can

authority

it

step

in

You

the

match

Some

known

companies

by

mergers

Vyakar’s

and

acquisition

may

now

be

following

acquisitions.

mergers

helps match these companies.

other

names

and

inhouse

data

customization and performance

CUSTOMIZATION AND PERFORMANCE

Vyakar’s fuzzy match algorithm is

designed to be flexible to fit your

needs. Stricter rules means fewer

results, but these results will be

more closely matched to what you

are

looking

for;

means there will be more results

to choose from, but only loosely

matched to your criteria.

relaxed

rules

Also,

if

there

are

certain

companies that always go together

for

your

business,

together, these can be defined in

custom “Always Match” or “Never

Match” rules.

or

never

go

Fuzzy match company name