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www.bilisim.com.tr
Business Intelligence System
September 2013
BI
www.bilisim.com.tr
Making Fact-based Desicions Making Fact-based Desicions
Challenges
More Data
More Users
Less Time
Challenges
More Data
More Users
Less TimeYet, their time for decision-making
is decreasingYet, their time for decision-making
is decreasing
Desicion-makers on all levels of management with different job
roles need to understand this data
Desicion-makers on all levels of management with different job
roles need to understand this data
Volume and complexity of data flowing into companies increasing
Volume and complexity of data flowing into companies increasing
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Implementing Business Intelligence in the Companies
Implementing Business Intelligence in the Companies
The organization hierarchy may not be suitable for a new BI implementation project.
IT departments may not have the required BI and data warehouse skills.
Limited IT budget.
Different OLTP systems from different vendors with little or no integration between them.
Unstructured data which are stored in e-mails, a high number of Excel Sheets and unconsolidated reports and query results from a number of OLTP systems
Challenges
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DATA SOURCES
Online Databases (OLTP), Semi-structured data like Excel files.
DATA SOURCES
Online Databases (OLTP), Semi-structured data like Excel files.
STAGING AREA
Data storing, cleansing, selecting, transforming, aggregating, integration operations
STAGING AREA
Data storing, cleansing, selecting, transforming, aggregating, integration operations
PRESENTATION LAYEROLAP Tools, Dashboards, Reports,Interactive Online Queries
PRESENTATION LAYEROLAP Tools, Dashboards, Reports,Interactive Online Queries
DATA WAREHOUSE / DATA MART
Metadata Repository, OLAP cubes
DATA WAREHOUSE / DATA MART
Metadata Repository, OLAP cubes
Data Extraction
Data Loading
Business Intelligence ApplicationsBusiness Intelligence Applications
Analysis
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The main components of a BI system The main components of a BI system
Business intelligence: set of tools and technologies that systematically exploit available data to retrieve information useful in supporting complex decision making processes
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bilişimBI’s Approach
Agile business intelligence
Simple and intuitive user interface.
No “high-tech terminology”, no “data warehouse
knowledge” needed to create multi-dimensional
analysis.
interactive dashboard-style communication.
All ETL (extract, transform, load) functionality
included. No additional license fees to be paid to
third-party software.
Speedy response with in-memory query execution.
The bilişimBI works seamlessly with bilişimERP.
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The Architecture of bilişimBI SolutionThe Architecture of bilişimBI Solution
DecisionsOptimizationData Mining
Data Exploration
Data Warehouse/Data Marts
Visual Query Tool(Real time data analysis)Visual Query Tool
(Real time data analysis)
Multidimensional Analysis
Tool
Multidimensional Analysis
Tool
ETL WizardETL Wizard
Data SourcesbilişimERPOperational
(OLTP) Data Personal semi-structured data
META DATA REPOSITORY
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Visualization.
Data Integration
Data Warehouse, Data Marts, OLAP Cubes
Stage 3
Advanced Analytics &
Data Mining
Stage 2
Strategic Decision Support Applications
Stage 1
Fundamental Data Warehouse & Visualization Functions
3 Staged Research & Development Project
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Performance Monitoring, Balanced
Scorecards
Performance Monitoring, Balanced
ScorecardsAnalytical WorkflowsAnalytical Workflows
Descriptive AnalyticsDescriptive Analytics
Dashboards, widgetsDashboards, widgets Mobile BIMobile BIOffice IntegrationOffice Integration
STRATEGIC DECISION SUPPORT APPLICATIONS
Time Series AnalysisTime Series Analysis
Will be ready by the end of 2014
Stage 2
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Case StudyCase Study
Product A Product B Product C Product D0
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7000
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9000
PRODUCTS
TO
TA
L C
OS
T (
$)
Product A Product B Product C Product D0
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7000
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9000
PRODUCTS
TO
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T (
$)
www.bilisim.com.tr
Product A Product B Product C Product D0
1000
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7000
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9000
PRODUCTS
TO
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T (
$)
Case StudyCase Study
The Analysis of Product Costs
By clicking on product C…..
COST TYPE
1000
2000
3000
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6000
5000
TOTAL COST ($)
Materials
External Operations
Internal Operations
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Case StudyCase Study
To achieve the required analysis:
1. Build the metadata. (A prerequisite of all the analysis tasks)
2. Create the domain of analysis
3. Specify the data tables of the domain.
4. Determine the measures.
5. Determine the criteria.
6. Save the analysis domain and schedule the ETL tasks.
7. Configure the analysis widget (Graph, table, etc.)
8. Use the interactive dashboard to see the results.
www.bilisim.com.trCase Study
Building the meta dataBuilding the meta data
www.bilisim.com.trCase Study
Creating the Analysis DomainCreating the Analysis Domain
You can update the existing Analysis simply by clicking on it.
You can create new analysis (ETL tasks) by using the Add button.
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What would you like to analyze?What would you like to analyze?
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What would you like to measure?What would you like to measure?
Probable facts are listed automatically.Probable facts are listed automatically.
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What are your analysis criteria?What are your analysis criteria?
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Save and ScheduleSave and Schedule
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Defining Data Quality RulesDefining Data Quality Rules
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Configure the dashboard settingsConfigure the dashboard settings
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Interactive DashboardInteractive Dashboard
Product A Product B Product C Product D0
1000
2000
3000
4000
5000
6000
7000
8000
9000
PRODUCTS
TO
TA
L C
OS
T (
$)
Materials
External Operations
Internal Operations
Product A Product B Product C Product D0
1000
2000
3000
4000
5000
6000
7000
8000
9000
PRODUCTS
TO
TA
L C
OS
T (
$)
www.bilisim.com.tr
Collaboration with the IndustryCollaboration with the Industry
✔ Ability to see real-life analysis requirements
✔ High-quality OLTP data to work with
✔ Useful feedback in the early phases of the project
✔ Extensive testing
✔ Ability to verify the design desicions
✔ Motivated agile development with short iterations
✔ Guidence about the functionality of future releases
Benefits for the Software Developers
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• Leveraged the value of their online enterprise data by
applying data quality rules
• Eliminated most of their heavy Excel work
• Leveraged real-time insights in the context of their
industry and role by using our Visual Query Tool.
• They even created “what-if” simulations to fully
understand the business impact of their desicions.
Collaboration with the IndustryCollaboration with the Industry
Benefits for the Industry
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