obzen business analytics(big data with r, hadoop)
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obzen Business Analytics
Enterprise Prompt Analysis with R & Hadoop
Copyright by obzen
Dec. 2013
Business Optimization
Data Fusion
Perspectives
Value OptimizationProducer, Consumer and Cycle timePrompt Analysis and DecisionKnowing Data, Extract Information
Multiple Data Sources – DW/Mart, Raw Data in Multiple Storages, Spatial Data, Big Data, Unstructured DataDynamic Data Discovery and Fusion (DDDF)
Visual Analysis – Chart, Sheet, Map, Filter, …Data Insight – OLAP, Statistics, Data Mining, …Decision System – Dashboard, Fine Reporting, EISEnvironment – Professionals, Any Browser, MobileBack stage – Collaboration, Scheduled job, Secured,…
Action on KnowledgeSeamless Advance to The Marketing Process
Challenges on Information cycles
© 2013 obzen
Existing solutions often fall short for many roles in many departments
Customer Service
Sales
Marketing
Product Development
Finance
HumanResources
Operations
Has this been done before?
Which tool do I use?
How do I get all the data I need?
Multiple solutions and disconnected tools
Reliant on IT for work others can do
Fragmented decision making
Siloed information
Data not available in time
Costly to maintain
I need a differ-ent view
I have to drop out to a spreadsheet
I can’t wait for IT
© 2013 obzen
IT
Business Optimization Challenge
•Timely, consolidated view of performance •Reporting on daily branch and staff performance. •Holistic view of customer relationships.
© 2013 obzen
Legacy External
EDW
Mart
As-Is ROI
비용 시간 가치
AS-IS
Legacy External
EDW
Mart
To-Be ROI
비용 시간 가치
Obzen DataPlanet
Rebuild
Self-Serviced UI
Data Approach
Improved productivity-Reallocated 90 full time employees from data entry to value added roles.Predictable branch staffing levelsImproved, real time insight into branch and sales performance from “7 weeks to 7 seconds”
© 2013 obzen
AS-IS
Self Serviced
EasyVisualDiscovery
Internal Data
HR
CRM
ERP
Unstructured Data Spatial Data
Internal Data
HR
CRM
ERP
Retail
Public
Research
DW / Mart
Linear, pre-defined thinking lnsights missed in hidden data Months to change Data-centric
AS-IS Follows the user All data, always visible Minutes to change Insight driven
User Driven
obzen DataPlanet
Data Fusion
External Data Unstructured Sources Spatial DataInternal Data
HR
CRM
ERP
Retail
Public
Research
DW / Mart
Fusion on the WorkBoard
D3F : Dynamic Data discovery and fusion
© 2013 obzen
DDMA Process Builder
DDMA Process Builder
eCube Studio DDDF Engine
DDMA Process ControllerDDMA Process Controller
Process In-stance Execu-
tor
Process In-stance Execu-
tor
Data Process-ing Engine
Data Process-ing Engine
Data Set Translator
Data Set Translator
eCube Studio OLAP Engine
eCube Studio OLAP Engine
obzen eCube DataPlanet - Perspective
Decision
Analysis
Insight
DashboardFine ReportingEIS
Variety of Charts Sheet with insightIntegrated Map
Ad-hoc queryOLAPStatistics (thru R)Data Mining & Predictive Analytics
(thru R)
© 2013 obzen
DataPlanet Component Overview
© 2013 obzen
DATA
eC
ub
e V
isu
al A
na
lyze
r
eC
ub
e D
ata
Pla
ne
t S
erv
er
eC
ub
e D
ata
Pla
ne
t P
ub
-lis
he
r
64bit
32bit
File
Oracle
Sybase
SAP
eCube
obzen eCube ServerCreate Contents Consume Con-tents
Installed EXE
HTML5
Silverlight
Plug-in
AnyBrowser
OLAP Info
rma
tio
n B
uild
ing
En
-g
ine
JDBC
eC
ub
e D
ata
Pla
ne
t
SQL
GIS
“R”
Hadoop
FILE
Source Data Management
Analytical Engine UI
© 2013 obzen
Interactive Analytics
•Complete perspective on the business •Simple to use with unprecedented power one click away•Accelerate alignment and improve decision-making
Big advantages are that its software is easy to use, can access many data sources, and lacks the complexity of a traditional OLAP cube
Auto Generation of Data Filter
Intuitive Interface
Interactive Analytics
© 2013 obzen
Analysis - Drilling
Full interactivity with drill up/down/through
© 2013 obzen
Data Sources
Internal/external Excel File
Hadoop, DM, DW
User-defined SQL
D3FHeteroge-neous DB
© 2013 obzen
Analysis – Spark Line
Micro Chart with box plot, bar, broken line
© 2013 obzen
Analysis - Trellis
© 2013 obzen
Excel Interface
© 2013 obzen
Easy Dashboard
© 2013 obzen
Analysis – “R”
Embeded “R” packages
© 2013 obzen
GIS – Spatial OLAP
Spatial OLAP can be defined as a visual platform built especially to support rapid and easy spatiotempo-ral analysis and exploration of data following a multidimensional approach comprised of aggregation levels available in cartographic displays as well as in tabular and diagram displays
© 2013 obzen
GIS OLAP
Drill Down
© 2013 obzen
Ranking-1
© 2013 obzen
Ranking-2
© 2013 obzen
Sales Report
© 2013 obzen
Jung, JinsupSolution Competencyobzen Co., Ltd.e-Mail: jsjung@obzen.comTEL : 02-3775-4600Mobile: 010-2981-9002www.obzen.com
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