Join Prophix and Aberdeen Group’s VP and Principal Analyst Michael Lock for a webinar. We will cover: • Top data challenges companies face today • Best-in-Class strategies for data management and integration • The strategic and operational impact of analytics in the finance department

1. 1
Sponsored By:
Enriched Insight in Finance:
Blending Data, Boosting Performance
March 2017
Michael Lock, VP & Group Director
Analytics & Business Intelligence
Aberdeen Group
Ronel Marbella, Director Product Strategy
Prophix
Rick Dill, Enterprise Solution Architect
SnapLogic

2. 2
Speakers
Michael Lock
V.P. & Principal Analyst
Analytics & Business Intelligence
Rich Dill
Enterprise Solution Architect
Ronel Marbella
Director of Product Strategy

3. 3
Today’s Agenda
Background: Data Complexity / Analytical Urgency
Harnessing Data: Best-in-Class Data Management & Integration
Data-Driven Finance: Key Challenges and Performance Impact
Takeaways: Summary of Findings / Wrap-Up

4. 4
Background – State of Analytics
4
Data Users Time
• Expanding rapidly
• Greater disparity
• Under-utilized
• More job roles
• More functional areas
• More analytical minds
• Demanding customers
• Accelerated pace
• Decision window

5. 5
Data Growth and Complexity Still Major Challenges
5
8
22
36
Small Companies Mid-Size
Organizations
Large Enterprises
Average # of Unique Data Sources
65%
41%
29%
54%
45%
55%54% 53% 55%
Insufficient ability
to utilize growing
data
Poor data
quality
Data is stored in
too many silos
% of RespondentsSmall Mid Large
Top Data Challenges Data Sources Used for Analysis

6. 6
Analytical Activity Spreading across the Line-of-Business
29%
22%
25%
40%
42%
43%
50%
61%
Customer Service
Sales / Business Development
Marketing
Finance / Accounting
% of Respondents, “Pervasive” or “Strong” analytical activity n = 692
Best-in-Class Executives All Other Execs

7. 7
Aberdeen’s Research Methodology
PACE: End-user Investigation
PRESSURES ACTIONS CAPABILITIES ENABLERS
What is causing
organizations to
think differently?
What strategies are
they using to
respond to pressures?
Why are they
achieving
greater success?
What technologies and
services are enabling
them to succeed?

8. 8
Aberdeen Maturity Class Framework
Defining The Best-in-Class
Selected Performance Criteria
(KPI)
Organizational Goals
Employee Performance
Financial Metrics
Total
Respondents
Respondents are scored
individually across KPI
Best-in-Class
Top 20%
Industry Average
Middle 50%
Laggard
Bottom 30%

9. 9
Harnessing the
Power of Data
9

10. 10
The Multiple Dimensions of Today’s Data
Avg. Overall Data
Growth Rate
45%
• Applications
• Unstructured
• Rich Media
• Machine / IoT
Avg. # of Unique
Data Sources in
Use
17
• On-Premise
• Cloud
• Hybrid
• Mobile
Growing Disparate Diverse Distributed

11. 11
Best-in-Class Leverage a Breadth of Technology
87%
83% 81%
61%
80%
73%
68%
49%
63%
51%
43%
32%
0%
30%
60%
90%
Batch-oriented data
integration
Real-time data
integration
Data discovery /
interactive visualization
Data preparation / data
quality
% of Respondents n = 174
Best-in-Class Average Laggard
Source: Aberdeen Group, March 2017

12. 12
Empowering the User Base
97% 94%
87%
63%
69%
53%
37%
44%
37%
Accessibility of critical information Relevance of data to my job role Ease-of-use of analytical systems
% of Respondents “Satisfied” or “Very Satisfied” with above n = 174
Best-in-Class Average Laggard

13. 13
Undeniable Business Results
29%
32% 33%
15%
12%
9%
4% 3% 2%
Organic revenue growth Operating profit Operating cash flow
Average year-over-year improvement n = 195
Best-in-Class Average Laggard

14. 14
Data-Driven
Finance
14

15. 15
Key Pressures Driving Analytics in the Finance Dept.
3%
13%
13%
75%
79%
Demanding regulatory and compliance environments
Competitive environment demands faster decisions
Poor communication, collaboration across departments
Corporate mandate for growth
Tightening budgets require operating cost reductions
% of Respondents n = 289
All Respondents
Source: Aberdeen Group, March 2017

16. 16
Rate Your Organization’s Ability To…
51%
58%
66%
36%
27%
23%
13%
15%
11%
0% 25% 50% 75% 100%
Achieve a single, transparent view of financial
performance
Obtain information in time to bring it to bear on
financial decisions
Provide data that is high-quality and up-to-date
% of Respondents n = 289
Strong or Very Strong Average Weak or Very Weak
Source: Aberdeen Group, March 2017

17. 17
Maturity of Financial Analytics
3%
1%
17%
23%
56%
No unified financial analytics solution
Some financial analysis but challenged by a siloed
data environment
Batch process for data capture, ad hoc reporting and
analysis
Data captured from multiple data sources, primarily
historical data analysis
Real-time data capture from a variety of sources,
integrated analysis capability
% of Respondents n = 289
All Respondents
Source: Aberdeen Group, March 2017

18. 18
Driving Internal Efficiency
17%
6%
Reduction in time to complete a
forecast (year over year)
Using Financial Analytics
All Others
14%
4%
Improvement in time-to-decision
(year over year)
n = 98
Source: Aberdeen Group, March 2017

19. 19
Tangible and Repeatable Performance
11%
4%
Reduced cycle time of key business
processes (year over year)
Using Financial Analytics
All Others
14%
7%
Increased profitability (previous 2 years)
n = 98
Source: Aberdeen Group, March 2017

20. Finance, and other
LoBs face significant
data challenges
29%
40%
43%
Lack of IT
resources
Inaccessible
data
Increased
data urgency
KEY RESEARCH TAKEAWAYS
Data efficiency
empowers better
decisions
6%
17%
Forecast time
reduction
For the finance dept.,
benefits are real, and
attainable
97% 94%
63%
69%
37%
44%
Accessibility of
data
Relevance of data
7%
14%
Boost in
profitability

21. Corporate Performance
Management (CPM) Needs Your
Data!
Ronel Marbella, Director Product Strategy
Prophix

22. www.prophix .com
CPM Depends on Easy Access to Data…
 Better performance management leveraging
data across the organization
 Uncover revenue growth opportunities via
analysis and scenario planning
 New customer segments/ underserved markets
 Product cross-sell/ up-sell
 Under-priced products/ non-price sensitive
customers
 Leverage monthly, weekly, daily (and real-
time) data for more rapid decision making

23. www.prophix .com
Finance has become the Hub for Analysis,
Planning and Forecasting…
 Rooted in financial reporting
and budgeting/ planning
 Expanded over time to a
strategic role, enabling data-
driven decisions
 Struggle to access data needed
from source systems
 Do more and more, with less
and less

24. www.prophix .com
Data Comes in a Wide Variety of Formats and
Flavors…
 Sources from many vendors, unique
methods for storing/ presenting data
 Organizations historically relied on IT to
get this data out
 Custom coding and high cost to get
data into a semi-usable format
 Usually still needs transformation, lots
of manual work/ less time for value-
added analysis

25. www.prophix .com
Things Become More Challenging When You Add
In the Cloud…
 Shift from on-premise only to
include cloud sources
 Security, privacy and
performance issues are a
concern
 Desire for lower IT impact,
instead introducing additional
complexity?

26. www.prophix .com
Data Integration Needs to Be Easy…
 Support a wide range of data sources,
on-premise and cloud
 Wizard-driven interface, designed for
business users
 Standard connectors to simplify access,
point and click configuration (not code)
 Managed by business/ finance users

27. www.prophix .com
CPM Needs Your Data!
 Better performance and decision
making depends on data
 Finance is uniquely positioned to act as
a provider of analysis and insight
 Need to focus on value-added analysis,
not manual work
 Easy, standardized and business-user
managed access to data are the keys to
realizing value from CPM

28. Thank You

29. SnapLogic’s Value Proposition

30. Anything
apps | APIs | things | data
Anytime
batch | streaming | real-time
Anywhere
on premises | in the cloud
SnapLogic helps companies
connect data and
applications faster

31. Why Customers Choose SnapLogic
Unified platform
for data and apps
• Batch and real-time
integration
• High volume,
variety, and
velocity big data
Self-service,
intuitive UX
• Intuitive for self-
service users
• Powerful and fast
for experts
• Configure, not code
Modern, elastic
architecture
• Scale-out elastic
architecture
• In the cloud, on
premise, on
Hadoop or Spark
cluster
Connected library
of Snaps
• Applications,
analytics, big data,
social media
• REST, SOAP,
JSON, transform
Snaps, 400+ more

32. SnapLogic Architecture: Components
Self-Service User Interface
Cloud-Based Designer, Manager,
Dashboard
Snaplex
Execution Grid; Elastic Scale-Out;
Respects Data Gravity
Snaps
350+ Pre-Built
Connectors
Cloudplex
Groundplex
Hadooplex

33. Modern Architecture: Hybrid and Elastic
Streams: No data is
stored/cached
Secure: 100%
standards-based
Elastic: Scales out &
handles data and
app integration use
cases
Metadata
Data
Databases
On Prem
Apps
Big Data
Cloud Apps
and Data
Cloud-Based Designer, Manager,
Dashboard
Cloudplex
Groundplex
Hadooplex
Firewall

34. Prophix Architecture: Hybrid and Elastic
On Prem Apps
& Databases
Cloud Apps
and DataCloud-Based Designer, Manager,
Dashboard
Prophix Cloud
Firewall
Customer
Groundplex
On Prem Apps
& Databases
Customer
Groundplex
Customer A Customer N
On Prem Apps
& Databases
Customer
Groundplex

35. Why Prophix choose Snaplogic
– Ability to connect to any database or application
– Ease of installation and management
– Remote administration
– Ability to reuse patterns(templates)
• Results: Ability to onboard new customers
quickly and easily
• The “Time to Value”

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@MLock_Insights
Michael.Lock@Aberdeen.com
info@prophix.com
facebook.com/Prophix
@Prophix
youtube.com/user/ProphixSoftwareInc
linkedin.com/company/prophix-software
Thank You!
Questions?
36
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