opensap bwhana1 week 1 unit 2 edw presentation

8/9/2019 OpenSAP BWHANA1 Week 1 Unit 2 EDW Presentation

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Week 1 Unit 2:

Enterprise Data Warehousing –

Why?



© 2014 SAP SE or an SAP affiliate company. All rights reserved 2Public

Content

Context of a data warehouse

Characteristics & tasks

Different approaches for

implementation

Enterprise Data Warehousing – Why?Covered in This Unit




Enterprise Data Warehousing – Why?Example of a Customer Enterprise Data Warehousing Landscape

feeding

external

systems

Master Data

Transactional Data

Business Intelligence Tools

OtherEDWSupplier

DataERP Data

Supplier

Data

Customer

DataOtherERP Data

global

local

regional

Data Mart

Data Mart

Data Mart

Planning

&

Forecast

Master Data

ManagementData Warehouse

“Single Point of Truth”

EDW – Characteristics:

Consolidates data across the

enterprise

Standardized data model

Supports decision making

Main Tasks of a Data

Warehouse:

Define common semantics

Harmonize data values

Establish a ‘single version oftruth’

Provide a single, comprehensive

source of current and historical

information




Enterprise Data Warehousing – Why?Definition

Different definitions – one common

goal

The data warehouse is a subject-oriented,

integrated, time-variant, non-volatile

collection of data used to support the

strategic decision-making process for theenterprise.

It is the central point of data integration for

business intelligence and is the source of

data for the data marts, delivering a common

view of enterprise data. (Bill Inmon)

A data warehouse is a copy of transactiondata specifically structured for query and

analysis.

It is the conglomerate of all data marts within

the enterprise. Information is always stored

in the dimensional model. (Ralph Kimball)




Using an integrated EDW application

Model-driven pre-packaged data warehouse

application as a central component

Prebuilt information models and process

content

Out-of-the-box tool set

Custom-built enterprise data warehouse

Loosely coupled orchestration tools

Higher efforts for development and maintenance

High flexibility to build custom data models and

processes with little enforced governance

Open environment to easily import industry models

EDWs require a database plus EDW

orchestration tools

Enterprise Data Warehousing – Why?Different Approaches, Same Goal




Enterprise Data Warehousing – Why?What You’ve Learned in This Unit

Key takeaways

Enterprise data warehousing helps to

harmonize and consolidate data from

many sources as the single point of truth

Within the data warehouse, data is

mapped and transformed to a definedcorporate model

Data warehousing supports decision

making with current and historic data for

analysis

EDW can be custom built or supported by

tools and applications



Contact information:

[email protected]

Thank you


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opensap bwhana1 week 1 unit 2 edw presentation

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