Devenez expert dans la gestion de la donnée avec Rimes et ... · Base: 100 Managers or above with...
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Devenez expert dans la gestion de la donnée avec Rimes et Forrester
Henry PEYRETPrincipal Analyst
FORREST
Julie ACOSTAVP Sales Manager
RIMES TECHNOLOGIES
Animation RIMESSalon Élysée
Julie Acosta, MBA, CFA
VP Sales Manager
RIMES Technologies France SAS
FOR INTERNAL USE ONLY
Buy-Side Finance Firms: Plot Your
Path To Data Management MaturityForrester Consulting
Henry PeyretPrincipal Analyst
September, 2016
FOR INTERNAL USE ONLY
© 2016 Forrester Research, Inc. Reproduction Prohibited 4
Agenda
›About the Forrester/RIMES Technologies Study
› Study Results
›Recommendations
© 2016 Forrester Research, Inc. Reproduction Prohibited 5
Agenda
›About the Forrester/RIMES Technologies Study
› Study Results
›Recommandations
© 2016 Forrester Research, Inc. Reproduction Prohibited 6
Executive Summary
›RIMES Technologies commissioned Forrester Consulting to
evaluate the current maturity of data management practices
at buy-side financial services organizations in April 2016.
› Forrester assessed 100 buy-side firms, and included data
users (74%) and data operations/IT professionals (26%).
› Forrester used its existing, proven data management maturity
methodology, re-purposing it for buy-side finance firms.
›We classified respondents into four levels of data
management maturity:
1. Data experts
2. Data strategists
3. Data managers
4. Data tacticians
© 2016 Forrester Research, Inc. Reproduction Prohibited 7
Data managers: 24% Data experts: 10%
Data strategists: 26%Data tacticians: 40%
Data
execu
tio
n
Data strategy
Only 10% of Buy Side Finance are Data experts
Base: 100 Managers or above with assets under management greater than $10bn, 45% NA, 45% EMEA and 10% APAC
Source: A commissioned study conducted by Forrester Consulting on behalf of RIMES Technologies, April, 2016
Data Strategy
Business alignment
Data Governance
Measurement and metrics
Data Execution
Processes
Organization
Data delivery and use
© 2016 Forrester Research, Inc. Reproduction Prohibited 8
Agenda
›About the Forrester/RIMES Technologies Study
›Study Results
›Recommandations
© 2016 Forrester Research, Inc. Reproduction Prohibited 9
Buy-side Firms Face Many Data Management And Governance Challenges
Base: 100 data users and data operations/IT professionals at buy-side financial services organizations
Source: A commissioned study conducted by Forrester Consulting on behalf of RIMES Technologies, April 2016
31%
25%
20%
19%
19%
18%
22%
21%
21%
19%
21%
15%
15%
Lack of analytics toolsto process data
Suboptimal dataarchitecture
Outdated and legacyhardware
Integrating new solutions/applications with existing
technology set
Lack of data reportingtools and dashboards
Outdated data reportingtools and dashboards
Inability to manage variety of datatypes and formats
Too many processes and stake-holders require access to the data
Processes are controlled by IT,and business users can’t interact
directly with the data
Inability to handle large datavolumes (both internal and
external data sources)
Data is siloed in separate systemsacross various departments
Unclear business priorities fromcompany leadership
Lack of expertise andskilled personnel
“What are you firm’s biggest challenges toaccomplishing these goals?”
(Select all that apply)
Technology and architecture
Operational management
Organizational alignment
© 2016 Forrester Research, Inc. Reproduction Prohibited 10
Challenges, continued
Base: 100 data users and data operations/IT professionals at buy-side financial services organizations
Source: A commissioned study conducted by Forrester Consulting on behalf of RIMES Technologies, April 2016
31%
25%
20%
19%
19%
18%
22%
21%
21%
19%
21%
15%
15%
Lack of analytics toolsto process data
Suboptimal dataarchitecture
Outdated and legacyhardware
Integrating new solutions/applications with existing
technology set
Lack of data reportingtools and dashboards
Outdated data reportingtools and dashboards
Inability to manage variety of datatypes and formats
Too many processes and stake-holders require access to the data
Processes are controlled by IT,and business users can’t interact
directly with the data
Inability to handle large datavolumes (both internal and
external data sources)
Data is siloed in separate systemsacross various departments
Unclear business priorities fromcompany leadership
Lack of expertise andskilled personnel
“What are you firm’s biggest challenges toaccomplishing these goals?”
(Select all that apply)
Technology and architecture
Operational management
Organizational alignment
31%
25%
20%
19%
19%
18%
22%
21%
21%
19%
21%
15%
15%
Lack of analytics toolsto process data
Suboptimal dataarchitecture
Outdated and legacyhardware
Integrating new solutions/applications with existing
technology set
Lack of data reportingtools and dashboards
Outdated data reportingtools and dashboards
Inability to manage variety of datatypes and formats
Too many processes and stake-holders require access to the data
Processes are controlled by IT,and business users can’t interact
directly with the data
Inability to handle large datavolumes (both internal and
external data sources)
Data is siloed in separate systemsacross various departments
Unclear business priorities fromcompany leadership
Lack of expertise andskilled personnel
“What are you firm’s biggest challenges toaccomplishing these goals?”
(Select all that apply)
Technology and architecture
Operational management
Organizational alignment
© 2016 Forrester Research, Inc. Reproduction Prohibited 11
Agenda
›About the Forrester/RIMES Technologies Study
› Study Results
›Recommendations
© 2016 Forrester Research, Inc. Reproduction Prohibited 12
Insights From Experts:
Data
experts
Data strategy 3.21
Business
alignment2.92
Data
governance3.36
Measurement
and metrics3.32
Data execution 3.06
Process 2.98
Organization 2.95
Delivery and
use3.15
6 out 10 experts: “Continuous collaboration between centralized data management
function / IT and business to align data capabilities to business needs, outcomes, and
timetables”
5 out 10 experts: “Our organization has an executive data governance committee and
satellite business unit data governance teams where IT / data management and business
are equally responsible and accountable for data value.”
4 out 10 experts: “We have real-time activity, compliance, and business value visibility that
communicates data value and conditions across, business impact, data governance, and
data management metrics and KPIs using data governance tools, BI, and data discovery
tools.”
3 out 10 experts: “We proactively outreach to business stakeholders to ensure we easily
adjust resources and plans to shifts in strategic, project, and adhoc priorities.”
5 out 10 experts have a CDO responsible for data strategy and governance
4 out 10 experts: “We provide a wide range of self-service data visualization and data
preparation capabilities to prototype data”
© 2016 Forrester Research, Inc. Reproduction Prohibited 13
Follow The Path To Data Management Maturity
Base: 100 data users and data operations/IT professionals at buy-side financial services organizations
Source: A commissioned study conducted by Forrester Consulting on behalf of RIMES Technologies, April 2016
Data managers Data experts
Data strategistsData tacticians
Da
taexe
cu
tio
n
Data strategy
© 2016 Forrester Research, Inc. Reproduction Prohibited 14
Priorities And Challenges Vary By Maturity
Data management priorities Data management challenges
Digital Tacticians • Improve business planning
• Monitor process performance
• Inability to management variety of data types
and formats
• Lack of analytics tools to process data
Digital Managers • Monitor process performance
• Support for business change
programs
• Lack of analytics tools to process data
• Inability to manage variety of data types and
formats
Digital Strategists • Improve business planning
• Increase competitive
advantage
• Lack of analytics tools to process data
• Data is siloed in separate systems across
various departments
Digital Experts • Expand the scope of data we
leverage
• Support for business change
programs
• Outdated and legacy hardware
• Processes are controlled by IT and business
users can’t interact directly with the data
• Data experts and strategist have invested more heavily in technology that holds business policies and
definitions. Strategists emphasize reference data management over data delivery
• Managers recognize that data needs alignment with business expectations and invests in quality and
metadata tools to improve data integration and delivery.
• Tacticians emphasize data integration and invest in mapping and transformation technologies to improve
integration processes.
© 2016 Forrester Research, Inc. Reproduction Prohibited 15
Actions For Boosting Data Management Maturity
Based on learnings from data experts, organizations should boost
their data management by:
› Connect governance activities and data metrics to the use of data (data
delivery and services)
› Moving from Data Tacticians to Data Managers means building out the
organization to scale out data delivery and services and introduce data
governance activities to improve connections with the business
› Data Managers transition to Data Strategies by adopting operational and
business metrics
› Data Strategists can achieve Expert status through pragmatic
introduction of governance enablement in data delivery services and
support of technology management in prioritization and deployment of
those services.
© 2016 Forrester Research, Inc. Reproduction Prohibited 16
Data Governance becomes more dynamic over the Data Management Continuum
Data
Collection
Data
Aggregation
Data
Usage
External
Sharing
Data Management Continuum
Data Governance Focus
Policies and data set preparation feedback, open
collaboration
Feedback and continuous adjustment
Metadata,basic lineage, quality rules,
security and compliance policies
Business Glossary, data
context, advanced lineages
© 2016 Forrester Research, Inc. Reproduction Prohibited 17
Key Recommendations
› Master data measurement.
› Recognize how the organization
is aligned to data projects.
› Provide data to end users in
repeatable, scalable, self-service
ways.
› Turn data governance into
business as usual.
© 2012 Forrester Research, Inc. Reproduction Prohibited
Different governance objectives for different “system of”
Systems of
engagement
Systems of
recordSystems of
automation
System of
Insights Stakeholders : Back Office
Governance Objectives :: 100%
data quality, compliance, cost
savings, trust reports
Stakeholders : Front Office
Governance Objectives: :
Multiviewpoint, Agility, TTM, Risks
Stakeholders : Operations
Governance Objectives: Data
Context, interoperability, reactivity,
decrease costs of operations
© 2016 Forrester Research, Inc. Reproduction Prohibited 19
Summary
› Data management maturity really matters to your bottom line.
› The three key areas that are driving data management expertise are:
• Data delivery and use
• Data measurement and metrics
• Data governance.
› The experts realize that data management is not just about getting data
from source to target but understanding it is for a specific purpose and
context. With quicker access to contextually relevant insights, data users
are able to make better decisions to optimize their investment
management and operations processes
© 2016 Forrester Research, Inc. Reproduction Prohibited 21
Executive Summary
›RIMES Technologies commissioned Forrester Consulting to
evaluate the current maturity of data management practices
at buy-side financial services organizations in April 2016.
› Forrester assessed 100 buy-side firms, and included data
users (74%) and data operations/IT professionals (26%).
› Forrester used its existing, proven data management maturity
methodology, re-purposing it for buy-side finance firms.
›We classified respondents into four levels of data
management maturity:
1. Data experts
2. Data strategists
3. Data managers
4. Data tacticians
© 2016 Forrester Research, Inc. Reproduction Prohibited 22
Only Ten Percent Of Firms Were Data Experts
›Regularly exceed profitability targets.
›Have the fastest growing assets
under management (AUM) in the
industry.
›Deliver exceptional customer
experiences.
›Data experts direct data from a
strategic vantage point of business
outcomes while executing data
management operations in line with
business data demand.
Data experts:
© 2016 Forrester Research, Inc. Reproduction Prohibited 23
Data Experts, continued
›Have overcome data silos.
›Can link business processes and
decisions to data.
› Are exploring ways to deliver
continuous improvement.
›Stood out in their data measurement
and metrics ability, business
alignment, and data governance
effectiveness.
© 2016 Forrester Research, Inc. Reproduction Prohibited 24
Major Study Findings
› Firms are leveraging data
management to support strategic
business objectives.
›Buy-side firms struggle with
technology and data deficiencies.
›Buy-side firms must take a holistic
view of data management.
›Enhancing measurement
capabilities underpins data
management maturity.
› The paths to data management
maturity are clear.
© 2016 Forrester Research, Inc. Reproduction Prohibited 25
Survey Demographics: Country And Industry
North America
45%
EMEA45%
APAC10%
Base: 100 Managers or above with assets under management greater than $10bn, 45% NA, 45% EMEA and 10% APAC
Source: A commissioned study conducted by Forrester Consulting on behalf of RIMES Technologies, April, 2016
“”In which country are you located?”’
Greater than $10b but less than
$29b; 19%
Greater than $30b but less than $49b; 6%
Greater than $50b but less than $99b; 6%Greater than
$100b but less than
$499b; 42%
Over $501b; 27%
“Using your best estimates, what is the value of your assets
under management (AUM) for your most recently concluded
accounting year?
© 2016 Forrester Research, Inc. Reproduction Prohibited 26
Survey Demographics: Financial Services Industry
74%
29%
23%
17%
17%
15%
15%
14%
12%
11%
8%
8%
5%
4%
Investment/asset management
Wealth management
Insurers
Private banking
Investment bank
Hedge fund
Pension fund
Commercial banking
Credit card issuers
Credit unions
Consumer lending
Mortgage and nonmortgage loan brokers
Custodian bank/asset servicers
Management of companies and enterprises
Base: 100 Managers or above with assets under management greater than $10bn
Source: A commissioned study conducted by Forrester Consulting on behalf of RIMES Technologies, April, 2016
“To which financial service industry would you say that your firm/organization belongs?” (Select all that apply)
© 2016 Forrester Research, Inc. Reproduction Prohibited 27
Survey Demographics: Number Of Employees And Revenue
13%
33%
24%
23%
500 to 999
1,000 to 4,999
5,000 to 19,999
20,000 or more
Base: 100 Managers or above with assets under management greater than $10bn
Source: A commissioned study conducted by Forrester Consulting on behalf of RIMES Technologies, April, 2016
“How many employees work for your organization?
1%
19%
10%
20%
50%
$100 - $199m
$200 - $499m
$500 - $999m
$1bn - $2bn
$2bn+
“Using your best estimate, what is the
approximate annual revenue?”
© 2016 Forrester Research, Inc. Reproduction Prohibited 28
Data Management Practice Maturity Highly Correlated With Business Success
38%
48%
Profitability / operatingmargin goals: We
easily exceed or meetour goal everyquarter/period
AUM growth rate: Weare the fastest growing
/ among the leaders
Data experts Data tacticians
“In your opinion how does your profitability and AUM
growth rate compare with others in the industry?”
6 out of 10
8 out of 10
Base: 100 data users and data operations/IT professionals at buy-side financial services organizationsSource: A commissioned study conducted by Forrester Consulting on behalf of RIMES Technologies, April 2016
© 2016 Forrester Research, Inc. Reproduction Prohibited 29
78%
50%
47%
41%
40%
Improve business planning
Monitor process
performance
Support for business
change programs
Enhance information value
Protect brand reputation/
customer trust
“Which of the following are your organization’s top
goals for data management?”
(Showing responses ranked first)
Improving Business Planning Is The Top Goal For Data Management
Base: 100 data users and data operations/IT professionals at buy-side financial services organizations
Source: A commissioned study conducted by Forrester Consulting on behalf of RIMES Technologies, April 2016
© 2016 Forrester Research, Inc. Reproduction Prohibited 30
Characteristics Of The Maturity Levels
Data tacticians Data managers Data strategist Data experts
Data strategy 54% 55% 73% 80%
Business alignment 55% 51% 63% 73%
Data governance 56% 61% 73% 84%
Measurement and metrics 52% 54% 82% 83%
Data execution 51% 72% 54% 77%
Process 60% 66% 59% 75%
Organization 52% 75% 54% 74%
Delivery and use 47% 75% 52% 79%
Weak Strong
Scale: Percentages were calculated using the capability score divided by 4 (the maximum score available).Base: 100 data users and data operations/IT professionals at buy-side financial services organizationsSource: A commissioned study conducted by Forrester Consulting on behalf of RIMES Technologies, April 2016