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
Keeping your build tool updated in a multi repository world
Enriched Insights in Finance: Blending Data, Boosting Performance
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%
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
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
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
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
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”
It is this PACE framework that allows us to speak to readers in their own language; giving our content an edge as it relates to using terms they are likely to search on.
8
Sources ERP/ GL/ HRIS/ CRM/ etc.
Note: 4 out of 5 of our customers have direct integrations with an average 2.5 data sources connected
Leading enterprises choose SnapLogic because we help them connect data and applications faster.
We connect anything: sources including applications, APIs, things, or data
We connect anytime: in batches, streaming, or in real time
And we connect anywhere: on premises, in the cloud or a combination of both
If you break down our platform into 3 components, they are:
“The Control Plane,” this is where you do your work, administer who can do what, when and how, as well as monitor your integrations. It’s multi-tenant cloud service, with an HTML5 interface for designing data flows, which we call pipelines.
The run-time execution of pipelines happens on what is called a Snaplex. It is available in a cloudplex (which SnapLogic manages for you), a groundplex (which you manage within your firewall or private cloud) or Hadooplex (which runs on a Big Data cluster). It is an elastic engine that scales out dynamically as more capacity is needed.
And finally, Snaps, which the components of a pipeline. We have over 350 Snaps today and an SDK for building custom Snaps.
Here is an example of a SnapLogic deployment.
The SnapLogic control plane – including he Designer, Manager and Dashboard - does not store your data. It’s metadata only.
Once a pipeline is executed, it looks for the associated Snaplex or Hadooplex. The plex dynamically scales out, adding more nodes as needed.
We like to say that SnapLogic “respects data gravity” and runs as close to the data as need be. If you are integrating only cloud applications, it would make no sense to run your integrations behind the firewall. Similarly, if you’re doing ground to ground or cloud to ground, you may want to run your Snaplex on Window or Linux servers.
Note that the dotted line is sending instructions via metadata to the plex, which is waiting to run. The solid line indicates how data movies bi-directionally between systems.
Here is an example of a SnapLogic deployment.
The SnapLogic control plane – including he Designer, Manager and Dashboard - does not store your data. It’s metadata only.
Once a pipeline is executed, it looks for the associated Snaplex or Hadooplex. The plex dynamically scales out, adding more nodes as needed.
We like to say that SnapLogic “respects data gravity” and runs as close to the data as need be. If you are integrating only cloud applications, it would make no sense to run your integrations behind the firewall. Similarly, if you’re doing ground to ground or cloud to ground, you may want to run your Snaplex on Window or Linux servers.
Note that the dotted line is sending instructions via metadata to the plex, which is waiting to run. The solid line indicates how data movies bi-directionally between systems.