Bank insight eng
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Transcript of Bank insight eng
В жизни всегда есть место открытию
openbank.ru
BANK INSIGHT
New perspective on data management with
Just in Time analytics
OUR FRAMEWORK
BANK INSIGHT
ZOOM and Research Screening 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 PASSPORT 5. 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
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)