Going Cognitive with IBM · PDF fileGoing Cognitive with IBM Atlantic Grupa Maja Vekic Vedrina...
Transcript of Going Cognitive with IBM · PDF fileGoing Cognitive with IBM Atlantic Grupa Maja Vekic Vedrina...
Going Cognitive with IBM
Atlantic GrupaMaja Vekic Vedrina
WatsonWatsonWatsonWatson SEE Summit 2017
Atlantic Grupa – Who we are?
Corporate needsOverview over whole company
HeterogeneousVarious businesses
Company cultureCreativity, innovation
Local needsSpecifics of the each of the businesses
GrowthFast changes
Our Environment
Operational AnalyticsOperational Analytics Advanced AnalyticsAdvanced AnalyticsPredictive and
Prescriptive Analytics
Predictive and Prescriptive
Analytics
Co
mp
eti
tive
Ad
van
tag
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Business Value
Sta
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ar
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po
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Ad
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/Dri
ll
Do
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Dis
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&
Sta
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Fo
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Pre
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M
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Op
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Building Analytical Capabilities in Atlantic Grupa
Single Version of the Truth
Data Reusability
Self-Service for internal users
Different:• users• needs• skills
Data:centralised
Analytics: decentralised, democratic
Governance Model
Analytical Centre of Excellence
Guidelines
Decisions, Principles and Choices
Architecture in Analytics Domain of Atlantic Grupa
EnterpriseData Warehouse
ETLIBM Data Stage
Data Sourc
es
LocalData
Warehouses
ETLIBM Data Stage
Local Layer Corporate Layer
Cognitive Analytics
Watson Analytics
Da
ta
Analytics
Master Data Services (Microsoft)
Reporting &
Visualisation
Cognos BI
Advanced Analytics
SPSS Modeller
Financial ConsolidationCognos Controller
PlanningCognos TM1
Using IBM Watson Analytics in Atlantic Grupa
Experience Sharing
Going cognitive with IBM Atlantic GrupaMaja Vekić Vedrina
Important findings that can make a difference
What the Tool Does?Many business questions
Agilegetting fast from business questions to insights
Watson Analytics
Business action
Human Resources
Sales
Marketing
Internal Audit
Logistics & Distribution
Watson Analytics Use Cases in Atlantic Grupa
Our Learning (1/4)
• Fits well with users who work in ad-hoc/discovery mode
• Saves the time significantly
• Brings advanced analytics closer to the „standard” user
• Helps in closing the gap of resources with rare skillsU
sers
Our Learning (2/4)
Da
ta
• Don’t underestimate data preparation process
• Data have to be in proper format and well structured
• Standard topics are still important:
• data integration
• data enrichment
• single version of the truth
• governance
• Dataset which enters into analysis is limited to 100.000 rows
• Analytical capabilities of Watson Analytics are not unlimited -> continue work in another tool (i.e. SPSS Modeller)But, helps tremendously in selecting predictors (saves time)
• Several products are part of Watson platform => it can be confusing for the customer
• Constant development => new features with new releases
Our Learning (3/4)
Ch
all
en
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• Integration between Watson Analytics and Cognos BI
• Watson Analytics –> in cloud
• Cognos BI –> on premise
• Connectivity to on premise databases
• Re-using the integrated and well structured data from DWH and Cognos BI
Our Learning (4/4)
Arc
hit
ec
tur
e
Syn
erg
ies
Ineterested
users
Relevant use cases
Dedicate the time
Training available online
Experiment with the tool and data =>
learn
How to start with Watson Analytics (Our Way)
Questions & Answers
Atlantic GrupaMaja Vekic Vedrina