際際滷

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 亢亳亰仆亳 于亠亞亟舒
亠 仄亠仂 仂从亳
openbank.ru
BANK INSIGHT
New perspective on data management with
Just in Time analytics
WHAT IS INSIGHT?
OUR FRAMEWORK
BANK INSIGHT
ZOOM and ResearchScreening of anomaly
bi
SNAPSHOT
static
dynamic published
DATA CYCLE
KEY ASPECTS
Data Harvesting
Data as a Service
Data Market &
Data Science
Hypothesis validation
Data Cycle
Just-in-Time
Situation Room for Operational
Excellence
[business process and Anomalies]
Hypothesis validation cycle
management
[knowledge brokerage]
Proactive harvesting of data
[structured, unstructured]
DATA AS A SERVICE
COMPONENTS
Define typical and regular questions and
anomalies that above tolerable level of
devitation
Data Service should supports
decision making process of regular
business function
Define key metrics and
dimensions that is
important for your success
Define tolerance level for data assertions
(completeness, accuracy, timeliness,
existence, etc)
1.Define Questions to answer?
2. Define business process
3. Define analytical model
4. Define SLA for data
SERVICE PASSPORT5. DESIGN OF REPORT >>
DATA AS A SERVICE
SUCCESS FACTORS
 Business process should be defined
 Operational excellence should be measured
 You should understand your expectations of anomalies
 All terminology should be based on United Business Glossary
DATA AS A SERVICE
USER STORY
Define
Typical
questions
that need to
answer
Prepare
Glossary of
Terms
Define analytical model and
data SLA
Design and show data
Define business process
Prepare service model
Business User
Data Service
interactive map
BI.OPEN.RU
Service
exists
No
Yes
Discover
Subscription through HELPME
(united service portal)
Then choose from the list
#1
#2
#3,4
#5
Definition
DESIGNING LIKE THAT
DO SCRUM
LIKE THAT.
INFORMATION IS YOUR PRODUCT
 Could have different forms of presentation (block-schemes, charts, reports, etc)
 Should motivate to act
 Could have different forms of communication (SMS, email push message, etc)
仂仍-于仂
仂仍-于仂
SNAPSHOT
SCREENING OF ANOMALIES
ZOOM AND RESEARCH
SCREENING OF ANOMALIES
SCREENING OF ANOMALIES
Bank insight  eng

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Bank insight eng

  • 1. 亢亳亰仆亳 于亠亞亟舒 亠 仄亠仂 仂从亳 openbank.ru BANK INSIGHT New perspective on data management with Just in Time analytics
  • 3. OUR FRAMEWORK BANK INSIGHT ZOOM and ResearchScreening of anomaly bi SNAPSHOT static dynamic published
  • 4. DATA CYCLE KEY ASPECTS Data Harvesting Data as a Service Data Market & Data Science Hypothesis validation Data Cycle Just-in-Time Situation Room for Operational Excellence [business process and Anomalies] Hypothesis validation cycle management [knowledge brokerage] Proactive harvesting of data [structured, unstructured]
  • 5. DATA AS A SERVICE COMPONENTS Define typical and regular questions and anomalies that above tolerable level of devitation Data Service should supports decision making process of regular business function Define key metrics and dimensions that is important for your success Define tolerance level for data assertions (completeness, accuracy, timeliness, existence, etc) 1.Define Questions to answer? 2. Define business process 3. Define analytical model 4. Define SLA for data SERVICE PASSPORT5. DESIGN OF REPORT >>
  • 6. DATA AS A SERVICE SUCCESS FACTORS Business process should be defined Operational excellence should be measured You should understand your expectations of anomalies All terminology should be based on United Business Glossary
  • 7. DATA AS A SERVICE USER STORY Define Typical questions that need to answer Prepare Glossary of Terms Define analytical model and data SLA Design and show data Define business process Prepare service model Business User Data Service interactive map BI.OPEN.RU Service exists No Yes Discover Subscription through HELPME (united service portal) Then choose from the list #1 #2 #3,4 #5 Definition
  • 11. INFORMATION IS YOUR PRODUCT Could have different forms of presentation (block-schemes, charts, reports, etc) Should motivate to act Could have different forms of communication (SMS, email push message, etc)