Transcript

Compliant Marketing with

CLEAN DATA

H o w i s t h e d a t a c l e a n e d ?

BAD DATA?

CLEAN DATA IS:

An average data analyst

spends 60% or moreof their time cleaningand normalizing data1

Data is aggregated from various sources (fund accounting, performance & analytics systems, compliance & fund admins, Morningstar, Lipper, etc.).

Data is audited with the use of statistical and database methods to detect anomalies and contradictions.

EXTRACT VALIDATE TRANSFORMData is converted into a consistent form for marketing use. Transformationoccurs by using rules, lookup tables, or by combining the data with other data.

longer processing times

decreased productivity

miscommunication

lost revenue

compliance issues

inconsistency across marketing channels

.ACCURATE.EASY TO TAKE TO MARKET

.COMPLIANT

1. M. Arthur Munson, “A Study on the Importance of and Time Spent on Di�erent Modeling Steps,” SIGKDD Explorations 13, no. 2 (2011): 411, accessed February 28, 2010, http://www.sigkdd.org/sites/default/�les/issues/13-2-2011-12/V13-02-09-Munson.pdf.2. Doug Cornelius, “McNulty Keynote on a Tale of Two Sectors,” compliancebuilding.com, June 4, 2009, http://www.compliancebuilding.com/2009/06/04/mcnulty- keynote-on-a-tale-of-two-sectors/.3. Megan Leonhardt, “FINRA Cases Decrease, But Fines Increase,” wealthmanagement.com, April 3, 2014, http://wealthmanagement.com/blog/�nra-cases-decrease-�nes-increase.

HOW DOES YOUR DATA PERFORM?COMPLIANT CLEANCONSISTENTCONVENIENT

www.snth.com/DataHub.php

ahead of schedule

D a t a H u b b r i n g s o r d e r t o y o u rf u n d d a t a f o r m o r e e ff e c ti v em a r k e ti n g . S a v e ti m e , m o n e y ,a n d m i n i m i z e r i s k w i t h af u n d d a t a m a n a g e m e n t s y s t e m .

P o w e r e d B y

FINRA fines have increased 49%

since Q1 2013, with $26.2 million in fines levied in Q1 2014.3

Bad data comes in many forms, but the bottom line is that is has to be cleaned before it can be used in any public-facing marketing materials. If your process for cleansing data isn’t e�cient, it can lead to longer processing times, decreased productivity, miscommunications, lost revenue, inconsistency, and compliance issues.

B y F i r m S i z e ( A U M )V o l u m e o f D a t a P o i n t s P r o c e s s e d

“If you thinkcompliance is expensive,

try noncompliance.”2

~ Former U.S. Deputy Attorney General Paul McNulty

Our Clientsmanage

a combined

$16.75 TRILLION IN ASSETS$ 2 0 1 - $ 6 9 9 B A U M

3 %

2 6 %

7 1 %

L e s s t h a n $ 2 0 0 B A U M

M o r e t h a n $ 7 0 0 B A U M

Synthesis processes more than

7 MILLION data points quarterly, and over 1 5 0 , 0 0 0 monthly.

< $200B < $700B > $700B

Qua

rter

ly D

ata

Poin

ts (T

hous

and

s)

200

400

600

8001000

1200

1400160018002000

Assets Under Management (AUM)

Synthesis processes more than

2 MILLION data points quarterly, and over 1 4 3 , 0 0 0 monthly.

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