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

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IT

Business Optimization Challenge

•Timely, consolidated view of performance •Reporting on daily branch and staff performance. •Holistic view of customer relationships.

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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”

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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

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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)

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DataPlanet Component Overview

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DATA

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64bit

32bit

File

Oracle

Sybase

SAP

eCube

obzen eCube ServerCreate Contents Consume Con-tents

Installed EXE

HTML5

Silverlight

Plug-in

AnyBrowser

OLAP Info

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JDBC

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SQL

GIS

“R”

Hadoop

FILE

Source Data Management

Analytical Engine UI

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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

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Analysis - Drilling

Full interactivity with drill up/down/through

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Data Sources

Internal/external Excel File

Hadoop, DM, DW

User-defined SQL

D3FHeteroge-neous DB

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Analysis – Spark Line

Micro Chart with box plot, bar, broken line

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Analysis - Trellis

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Excel Interface

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Easy Dashboard

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Analysis – “R”

Embeded “R” packages

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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

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GIS OLAP

Drill Down

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Ranking-1

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Ranking-2

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Sales Report

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Jung, JinsupSolution Competencyobzen Co., Ltd.e-Mail: jsjung@obzen.comTEL : 02-3775-4600Mobile: 010-2981-9002www.obzen.com