A decision automation system (DAS) or automated decision system (ADS)- It is a rule-based system that provides a solution, usually in one functional area ( e. g. finance, manufacturing) to a specific repetitive managerial problem, usually in one industry

1. Business Intelligence
presentation
by
Diksha Nikam.(12107)
https://www.digidiksha.in/hom
e-2/

2. Automated Decision System(ADS):
 A decision automation system (DAS) or automated decision system (ADS)-
It is a rule-based system that provides a solution, usually in one
functional area ( e. g. finance, manufacturing) to a specific repetitive managerial
problem, usually in one industry
 Example-
1) To approve or not to approve a request for a loan-
It includes calculation of rupee dollar rate on the basis of factors Strength of the
economy such as import and export, Public Debt, Market Eligible For Loan, Don’t
have Employment in stable company, As per Salary Statement Candidate Is Not
Eligible For Loan, Bad Cibil Score, Emi Can Not be Payable, The Applied Customer is
Defaulter For a Loan. In this phase, the manager checks out with those facts by
including personal verification and mailing to customer for the possible approval of
loan of applied customer.

3. 2)To determine prices in giant food store-
Strategy based on a definitive set of pricing rules which includes retail
might include relationships between national brands and private label brands ,
relationships between sizes, ending digits such as 9.Giant foods worked with
DemandTec to deploy a system for its pricing decisions. The system is able to
handle massive amounts of point of sale and competitive data to model and
forecast consumer demand as well as automate and streamline complex rules.

4. What are the key components of a
automation decision system?
 The key components of a DAS are business rules and predictive and
analytic
 models. These are processed by rule-based engines supplemented by
forecasting
 and optimization algorithms.
 3. Which industries are big users of decision automation systems?
 Decision automation systems are used extensively in the airline industry,
credit
 industry, retail industry, and engineering industry, to name a few. Almost
any
 industry faces complex tasks that require repetitive decisions in high volume
and
 at high speed. DAS systems help with these types of tasks.

5. . Which industries are big users of
automation decision systems?
 Automation decision systems are used extensively in the airline industry, credit
industry, retail industry, and engineering industry, to name a few.
 Almost any industry faces complex tasks that require repetitive decisions in high
volume .

6. THE ROLE OF THE USER IN EII
BY
Vishal Sikka Vice President, Advanced Technology SAP Vishal.Sikka@sap.com
 SAP provides enterprises with a wide ranging set of applications via the mySAP
Business suite. This suite provides customers with best-practices from a wide range
of industries, spanning almost all their major business processes, spanning a wide
range of business users.
 The foundation that these applications are built on, and that is used to integrate the
applications with other information assets of customers, is a platform called SAP
Net Weaver .
 Information integration is one of the fundamental contributions of this platform. I
first want to discuss where things stand with information integration using this
platform, and then want to discuss some open challenges for EII from a specific
perspective, that of the user.
 At SAP, we view Enterprise Information Integration as a goal, not a technology. The
goal in this case, is to achieve a state where the various information assets of the
enterprise are integrated to best meet the needs of the business:

7. 1. Ensuring the consistency of information underpinning multiple applications.
2. Providing connectivity and accessibility to information across multiple
platforms and databases.
3. Delivering a timely and complete view of critical entities and events.
• A key aspect of our work in this area is to look at information integration from an end-
user’s perspective. For many knowledge workers in an enterprise:
1. Work is triggered by tasks or events.
2. Action that follows such a trigger is typically not covered in traditional
business processes
3. Use of e-mails and documents is commonplace.
4. Decisions are typically based on multiple sources such as business objects
within applications, semi-structured content such as reports and analyses, and unstructured
data such as web pages and documents.
5. Actions are to be taken in multiple enterprise applications
• All this implies looking into several technologies for both extracting information
from, and sending information back into, multiple applications and data sources over
multiple platforms.
• SAP’s Net Weaver includes several technologies towards these:
Master data management, Virtual data federation, Classic business intelligence
techniques such as ETL,Common metadata, Security, Performance etc.

8. Thank You….