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Kein Folientitel

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Kein Folientitel – PowerPoint PPT presentation

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Title: Kein Folientitel


1
Business Intelligence based on PI-Systems at
BWB Johannes Broll, Ulrich Blöhm, Thomas
Bierwirth Berliner Wasserbetriebe (BWB) Berlin,
Germany
2
Agenda
  • BWB - who we are
  • Using PI at BWB now
  • The Business Intelligence project
  • How to connect BI to PI?
  • Using PI at BWB in the future

3
BWB - The core business
Make water
Collect wastewater rain
rain
Supply water
Customer
Clean wastewater rain
4
The drinking water process
5
Sewerage treatment
6
BWB - a brief outline (2000)
Drinking water
Waste water
  • 222 M m3/year
  • 7787 km supply lines
  • 11 waterworks
  • 978 wells
  • 241 M m3/year
  • 9093 km sewers
  • 1035 km pressure pipe-lines
  • 7 purification plants
  • 145 pumping stations

5900 employees turnover 1,9 billion DM
7
PI System at BWB now
  • Many differnet DCS in the plants
  • First PI installation in 2 purification plants
    1997 - 1999
  • Good acceptence of PI Processbook and PI DataLink
    to perform local reports
  • Full integration of display functions in the DCS
    via Active X

8
Example Configuration
Zentralwarte (Wartennebenraum)
Switch
W_RUH_50 Archivrechner
ES_RUH_70 Projektierungsrechner
S_RUH_53 SV West
S_RUH_60 NT-Server
S_RUH_80 Melde-Server
S_RUH_52 SV Ost
LWL
RJ45
RJ45
RJ45
RJ45
RJ45
RJ45
S_RUH_51 Wasserteil/NA
Hub
Hub
Hub
SV 1
SV 2
LWL
RJ45
RJ45
RJ45
RJ45
LWL
LWL
LWL
LWL
RJ45
RJ45
Switch
Fernwartung Router optional
ISDN Leitung
LWL-Leitung 100 Mbit/s
LWL-Leitung 100 Mbit/s
PI Server
Hub
Hub
Hub
Bus 1 / Tln 51
Bus 3 / Tln 51
Bus 2 / Tln 51
S_RUH_61 Wasserteil/NA
S_RUH_62 SV Ost
S_RUH_63 SV West
W_RUH_65
W_RUH_66
W_RUH_67
9
DCS Picture Select
10
DCS Plot
11
PI - Picture Select within DCS
12
PI - DCS Integration
13
PI - DCS Integration
14
The business itelligence project
  • A new reporting system for the wastewater process
  • including all relevant plants
  • including business data
  • including Laboratory data
  • easy to use (one click), scalable, no client
    administration, intranet application, etc. ...

15
BI - the requirement
current situation
objective
  • Different systems for data storage
  • Different security concepts
  • Different isolated reporting solutions
  • Every new report leads to stress of the operative
    staff
  • One Database for the storage of relevant data
  • One security concept
  • One reporting solution
  • independent from operative systems

16
At the beginning
?
OLAP
ROLAP
DSS
ETL
MIS
BI
MOLAP
Data Mining
Slice and Dice
HOLAP
Churn
Query
Scoring
CRM
Data Warehouse
Drill
DOLAP
Bench- marking
Data Marts
Fraud Detection
17
Different BI Tools
Summarized reports Big Button User e.g.
target/actual comparision, benchmarks, balanced
scorecard analysis
EIS
EIS Executive Information Systems
Intensiv Analysis of multivaribale models (OLAP)
trough Power User, Analyst
Multidimension analysis, ad hoc reporting Tools
Predefined standard reports in regular intervals
or Ad Hoc reports e.g. monthly report of quality
aspects
Standard reporting relationale Ad Hoc reporting
Tools
18
Different Users
Specialist
Web User
Database
Sources (PI System, LIMS, SAP, Other...)
19
classification of users
complexity
management
Business-Analyst (e.g.
controller)
Aggregated data, charcteristics
Process responsables
Detail-Analyst (e.g. statistician)
Detailed data, reports
Dynamic of request
static
interactiv dynamic
20
Classification of BI Tools
complexity
EIS
OLAP Tools (MOLAP/HOLAP)
Desktop OLAP
Relational OLAP
Relational Query Tools
Dynamic of request
21
Requests to the reporting tool
  • Drill, e.g. drill through monthly reports
  • filter by location, e.g. treatment plant or
    effluent
  • calculate new data, e.g. load flow(PI Data)
    concentration (LIMS Data)
  • monthly broadcasting of reports (.pdf-format)
  • user specific profiles and security related to
    the report
  • prompting

22
The decision
  • Consolidation of process data with PI, this means
    to build up the PI System in all plants
  • Build up an ETL process
  • Business Objects as reporting tool

23
Structure
Sources
ETL
Database
Publication
Secialist
SAP R/3
Extract Trans- form Load (ETL)
Reporting business objects
local middleware
PI System
PI-Client
Web-Server
LIMS
Database

24
Business Intelligence
25
Query, Reporting, and Analysis
26
BusinessObjects
  • Easy to use
  • Single interface for query, reporting, and
    analysis
  • Use your own business terms
  • Drag and drop report creation
  • Powerful
  • Powerful one-click functions (pivot, variance,
    ranking, alerts)
  • Multiple data sources (DW, ERP, OLAP, Excel,
    internet)
  • Highly customizable through open object model
  • Deployable
  • Zero admin (self-install update, no client
    middleware)
  • C/S or 3-tier web mode with component-based
    architecture

27
BusinessObjects C/S
Toolbar functions
Mix tables, graphics, and charts
Several reports in one document
28
Web-mode
Save and publish documents
Create new documents from within the browser
Drill directly on charts and tables
Reformat chart with a single click
29
Portal and Broadcasting
30
BusinessObjects InfoView
  • A centralized point for all BI information
  • Including non-Business Objects documents
  • Personalized interface
  • Users can define their own environment
  • Fully integrated into the BusinessObjects suite
  • Leverages the WebIntelligence infrastructure
  • Shares the Business Objects repository
  • Also a BI content provider to EIPs
  • Partnerships with major Enterprise Information
    Portal vendors

31
InfoView
Favorite report
Multiple document types
Excel, or other file
32
Broadcast Agent
Serve web and Windows users
Distribute to multiple device types
Access multiple data sources
33
Administration
34
BusinessObjects Designer
  • Universe creation
  • In a few mouse clicks
  • Leverage existing metadata
  • Dynamic access to Informatica, Ardent, and others
  • Universe linking
  • Exploit DW power
  • Aggregate awareness

35
Supervisor
  • Protect information resources
  • Data access (row-level)
  • Resource utilization
  • Product functions
  • Streamline user administration
  • User profile inheritance
  • Nested groups of users
  • Reuse NT authentication
  • Maintain resources easily
  • Central repository

36
PI tables in the semantic layer
PI ODBC tables
Joining the tagname
37
Direct connection BI-PI
PI ODBC tables
SQL Editor
38
The result
Pretty nice, but .... can I trust the results
? and what is that ?
39
Connecting BI to PI directly
  • Action of the user causes in uncontrolled
    SQL-statements
  • It is possible to shut down the PI SQL Server by
    select from -statement
  • Data are not validated

PI Datalink for Data consolidation, used by the
data responsibles (Excel User)
40
The PI-Datastream
Sources
ETL
Database
Publication
Validation
Reporting business objects
PI Server
PI Datalink
Web-Server
ETL
Database
FlatFile

41
Questions ?
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