infographic: the clean data challenge for fund marketers

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Compliant Marketing with CLEAN DATA How is the data cleaned? BAD DATA? CLEAN DATA IS: An average data analyst spends 60% or more of their time cleaning and normalizing data 1 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 TRANSFORM Data is converted into a consistent form for marketing use. Transformation occurs 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 Different Modeling Steps,” SIGKDD Explorations 13, no. 2 (2011): 411, accessed February 28, 2010, http://www.sigkdd.org/sites/default/files/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/finra-cases-decrease-fines-increase. HOW DOES YOUR DATA PERFORM? COMPLIANT CLEAN CONSISTENT CONVENIENT www.snth.com/DataHub.php ahead of schedule DataHub brings order to your fund data for more effecve markeng. Save me, money, and minimize risk with a fund data management system. Powered By 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 efficient, it can lead to longer processing times, decreased productivity, miscommunications, lost revenue, inconsistency, and compliance issues. By Firm Size (AUM) Volume of Data Points Processed “If you think compliance is expensive, try noncompliance. 2 ~ Former U.S. Deputy Attorney General Paul McNulty Our Clients manage a combined $16.75 TRILLION IN ASSETS $201-$699B AUM 3% 26% 71% Less than $200B AUM More than $700B AUM Synthesis processes more than 7 MILLION data points quarterly, and over 150,000 monthly.

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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.