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Underwri(en	by:	
#AIIM	Informa(on	Is	Your	Most	Important	Asset.		
Learn	the	Skills	to	Manage	It.	
How	to	Plan	Your		
Informa(on	Management	Strategy	
in	2017	
Presented	January	18,	2017		
How	to	Plan	Your		
Informa(on	Management	Strategy	in	2017	
An	AIIM	Webinar	delivered	January	18,	2017
Underwri(en	by:	
Bob	Larrivee	
VP,	Market	Intelligence	
AIIM	
Mark	Brousseau	
President	
Brousseau	&	Associates	
Host:		Theresa	Resek	
Director	
AIIM	
Today’s	Speakers
Underwri(en	by:	
IM	is	the	Cornerstone	
20%	looking	to	buy	a	new	or	
replacement	ECM	system	in	
the	next	2	years.	
	
A	further	15%	are	migra(ng	
to	a	single	exis(ng	system.
Underwri(en	by:	
Compliance/Risk	Drive	IM		
Compliance	and	risk	are	the	
largest	driver	for	IM	has	risen	
sharply	in	the	past	year	from	
38%	to	59%.
Underwri(en	by:
Underwri(en	by:	
	
	
§  Massive	data	leaks	
§  Lost	paHent	records	
§  Espionage	
§  Huge	regulatory	fines	
§  ReputaHonal	damage	
2016:	Compliance	and	Risk	Wake-Up	Call
Underwri(en	by:	
What’s	At	Risk	
§  Customer	informaHon	
§  Intellectual	property	
§  Financial	records	
§  Project	documents
Underwri(en	by:	
Increasing	Regulatory	Pressure	
	
14,000	
	
	
Federal,	state	and	
industry	laws,	standards	
and	regulaHons	
governing	the	
management	of	
informaHon.	
Source:	Cadence	Group
Underwri(en	by:	
Examples	of	Data	Governance	Regula(ons	
§  Health	Insurance	Portability	and	Accountability	Act	(HIPAA)	
§  Payment	Card	Industry	Data	Security	Standard	(PCI-DSS)	
§  Federal	InformaHon	Security	and	Management	Act	(FISMA)	
§  Bank	Secrecy	Act	(BSA)	
§  Gramm-Leach-Bliley	Act	(GLBA)	
§  Sarbanes-Oxley	(SOX)	
§  Defense	InformaHon	Systems	Agency	(DISA)
Underwri(en	by:	
How	Organiza(ons	are	Protec(ng	Themselves	
49%	of	organizaHons	believe	unauthorized	access	by	internal	
staff	poses	the	biggest	threat	to	their	data.	
	
§  Permissions	and	access	controls	
§  AnH-virus/malware	tools	
§  Strong	passwords	
§  Perimeter	security
Underwri(en	by:	
An	Achilles	Heal	
	
	
	
AnHquated	document	imaging	systems	
can	create	FIVE	vulnerabiliHes	that	
increase	the	risk	of	compliance	
viola(ons	and	data	theb.
Underwri(en	by:	
Five	Risks	to	Be	Aware	Of	
	
	
1.  MulH-ingesHon	processes	
2.  No	encrypHon	
3.  Unsecured	log	files	
4.  Poor	visibility	
5.  Weak	security	management
Underwri(en	by:	
The	Industry	 Retail	Banking	
The	Customer	 Regional	community	bank	
The	Challenge	 Reduce	the	cycle	Hme	and	labor	costs	of	closing	mortgage	loans		
The	Pain	Points	 Slow	and	costly	manual	separaHon	and	handling	of	400-500	page	batches	
Mix	of	incoming	paper	and	digital	documents		
Desired	Outcome	 1.	Strengthen	regulatory	compliance		
2.	Reduce	loan	closing	Hmes	by	25%	
3.	Scale	processing	volumes	without	adding	addiHonal	workers	or	sogware	
The	Solu(on	 AutomaHc	classificaHon	and	separaHon	of	individual	documents	in	a	
400-500	page	batch	and	route	the	right	ones	to	the	right	person/workflow	
step	
Case	Study:	Mortgage	Lender
Underwri(en	by:	
Content	Chaos	Costs	
Too	long	to	find	content	(62%)	
	
Duplicated	efforts	(52%)	
	
Insufficient	re-use	(46%)	
	
Too	many	round-robin	emails	(49%)
Underwri(en	by:	
Extending	ECM		
38%	are	ac(vely	focused	on	
extending	their	ECM	
func(onality.	
	
	25%	are	rolling	out	to	a	
wider	user-base,	
30%	are	improving	
collabora(on.	
	
21%	are	working	on	mobile	
and	remote	access.
Underwri(en	by:
Underwri(en	by:	
Capture	requirements	are	more	complex	
Significantly	more	
complex	
15%	
Slightly	more	complex	
58%	
Unchanged	
19%	
Slightly	less	complex	
4%	
Significantly	less	
complex	
4%	
Source:	ibml	
Compared	to	2	years	
ago,	how	would	you	
describe	your	capture	
requirements?
Underwri(en	by:	
The	Reality	for	Most	Organiza(ons
Underwri(en	by:	
The	Result?	Content	Chaos!	
45% of documents that	are	scanned	are	
100% “born digital.”			And	many	of	the	rest	
would	be,	other	than	the	added	signatures.		
	
	
	
	
	
	
	
66%	of	invoices	that	arrive	as	PDF	a(achments	get	
printed.	
About	30%	of	invoices	that	arrive	electronically	via	
email	or	fax	a(achments	get	printed	…		
…	and	scanned	back	in.	
Sources:	Aberdeen	Group,	Ardent	Partners
Underwri(en	by:	
§  Higher	labor	costs	
§  Poor	business	agility	
§  Customer	complaints	
§  Slow	inventory	turns/higher	DSO	
§  Late	payments/penalHes/fines	
§  PotenHal	security	breaches	
§  Compliance	violaHons	
The	Result?	Content	Chaos!
Underwri(en	by:	
The	Industry	 State	Government	
The	Customer	 State	Government	Agency	
The	Challenge	 Having	sufficient		scanning	horsepower	to	handle	the	quarterly	peaks	in	volume	
The	Pain	Points	 1.  Legacy	scanners	broke	down	frequently	
2.  Inconsistent	auto-feeder	on	scanners	resulted	in	downstream	excepHons	
3.  Manual	sorHng	of	scanned	checks	
Desired	Outcome	 1.  Speed	processing	turnaround	to	eliminate	content	chaos!	
2.  Accelerate	delivery	of	informaHon	to	downstream	applicaHons	through	
interfaces	with	mulHple	integrators	
The	Solu(on	 1.  Co-mingled	processing	of	full-page	documents	with	checks	
2.  Automated	out-sorHng	of	scanned	checks	
3.  1D	barcode	reading	
4.  Audit	trail	that	Hes	debits	and	credits	together	
Case	Study:	State	Government
Underwri(en	by:	
The	Industry	 Real	Estate	
The	Customer	 Property	management	company	providing	affordable	housing	to	UK	families	
	
The	Challenge	 30	million	pages	of	housing	files,	stored	in	file	cabinets	and	boxes	that	are	
distributed	across	750	local	offices	
The	Pain	Points	 1.  Slow	access	to	files	
2.  Physical	storage	space	and	costs	
3.  Time-consuming	records	management	
Desired	Outcome	 Affordably	digiHze	and	index	30	million	paper	documents	and	implement	day-
forward	filing	to	store	them	in	an	ECM	system	where	they	can	be	centrally	
managed	and	retrieved	at	a	moment’s	noHce	
The	Solu(on	 Phase	1:	transform	scanned	images	into	full-text	output	to	an	XML	format	
Phase	2:	digital	mailroom	with	invoice	scanning	applicaHons	
Case	Study:	Property	management
Underwri(en	by:	
Managing	In-Bound	Content	
23%	have	elements	of	mul(-
channel	inbound	integra(on.	
	
58%	describe	their	inbound	
handling	as	ad-hoc.
Underwri(en	by:	
Analy(cs	and	Automa(on	Help		
15%	are	using	automated	or	
assisted	classifica(on	at	the	
point	of	crea(on/declara(on.	
	
11%	are	using	analy(cs	for	
metadata	and	security	
correc(on	as	a	post-process.	
	
12%	use	content	analy(cs	for	
business	insight.
Underwri(en	by:	
Capture	must	be	integrated	with	all	delivery	channels!		
Source:	AIIM	ECM	Decisions	2015	Industry	Watch
Underwri(en	by:	
Ingest	 Extract	 Classify	 Align	 Connect	
Intelligent	Document	Recogni(on
Underwri(en	by:	
Centralized Batch Capture
Fax Server Integration
Ad-Hoc Desktop Capture Ad-Hoc Browser-Based Capture
Networked MFP Capture
E-Mail Integration
Import/scan	Ingest
Underwri(en	by:	
Extract
Underwri(en	by:	
Loan Amt.
Int. Rate
Monthly P.I.
	$162,000	
3.875%	
$761.78	
Loan Amt.
Int. Rate
Monthly P.I.
	$162,000	
3.875%	
$761.78	
Extracts	data	from	all	
document	types	using		
freeform	data	extracHon	
IdenHfies	pa(erns		
and	data	formats	to		
increase	accuracy	
Extract
Underwri(en	by:	
Classify
Underwri(en	by:	
Classify
Underwri(en	by:	
invoice	date	 6/17/2012	
account	
number	
2-1006-475-1	
reference	code	 22177991	
service	code	 954381	
amount	 29.34	
due	date	 7/7/2012	
Databases	and	table	lookups	can	
be	used	to	validate	data.	
Align
Underwri(en	by:	
Automated	export	of	images	
and	data	to	any	LOS,	mortgage	
workflow	system,	or	other	
business	applicaHon.	
Connect
Underwri(en	by:	
The	Industry	 Healthcare	
The	Customer	 Largest	non-profit	healthcare	organizaHon	in	the	Southwest	U.S.	
The	Challenge	 Reduce	turnaround	Hme	for	scanning	of	paHent	records	to	improve	paHent	care,	
accelerate	billing,	and	manage	growing	paHent	records	volumes.	
The	Pain	Points	 Slow	availability	of	paHent	records	delayed	coding	(stretching	DSO)	and	resulted	in	
a	deluge	of	calls	from	health	workers	and	paHents	regarding	their	status.	
Desired	Outcome	 Speed	availability	of	paHent	records,	while	making	the	process	more	efficient	to	
allow	for	the	consolidaHon	of	scanning	operaHons	and	support	higher	volumes	
The	Solu(on	 Intelligent	scanning	plaoorm	integrated	with	legacy	capture	and	ECM	soluHons	
The	Results	
	
1.  Improved	DSO	
2.  Reduce	records	scanning	turnaround	Hme	from	several	days	to	four	hours	
3.  Increase	efficiency	and	allow	for	reassignment	of	50%	of	records	staff	
4.  Save	$5,000	a	month	in	paper	by	out-sorHng	batch	separator	sheets	
Case	Study:	Healthcare
Underwri(en	by:	
Consider	This	
§  The	human	factor	is	sHll	the	primary	reason	for	
paper	use	for	handling,		
§  Reading,	and	note	taking	(47%),	along	with	a	lack	of	
management	iniHaHves	to	move	away	from	paper	
(47%).		
§  Figy-six	percent	of	respondents	are	looking	to	
automate	manual	processes	with	document	
classificaHon.
Underwri(en	by:	
Next	Steps	
§  Ensure	that	lifecycles	are	defined	for	all	types	
of	content	in	each	type	of	repository	
§  Implement	retenHon	and	deleHon	policies	
that	are	defensible	under	your	IG	policy	
§  Include	the	user	community	and	elicit	their	
feedback
Underwri(en	by:	
Thank	You!	
Read	the	great	resources	available	at	aiim.org/research	
	
Check	out	AIIM’s	newest	ebook	at:	
h(p://info.aiim.org/what-we-learned-from-the-aiim-community-in-2016		
	
	
	
To	Contact	Bob:		
blarrivee@aiim.org	
@BobLarrivee	on	Twi(er	
www.linkedin.com/in/boblarrivee
ibml	provides	intelligent	informaHon	capture	soluHons	that	
drive	business	process	improvements.	Combining	intelligent	
scanners,	sogware	and	services,	ibml’s	comprehensive	
soluHons	automate	the	most	demanding	document	
applicaHons	in	banking,	financial	services,	healthcare,	
government	services,	outsourcing,	and	more.	Every	day,	
ibml	customers	in	45	countries	rely	on	our	technology	to	
accurately	and	efficiently	capture	and	process	millions	of	
documents.			Learn	more	at	www.ibml.com
Underwri(en	by:	
AIIM	is	the	Community	for		
Informa(on	Professionals	
AIIM	believes	that	informa(on	is		
your	most	important	asset.		
Learn	the	skills	to	manage	it.	
	
Our	mission	is	to	improve	organizaHonal	
performance	by	empowering	a	
community	of	leaders	commi(ed	to	
informaHon-driven	innovaHon.	
	
Learn	more	at	www.aiim.org

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