1. Business Environment/goal/strategy 3. Process/activitiy
Primary competitive strategies (generic Value chain model [!] 4. DATA INFORMATION (GENERATE,STORE.DIS)
Types of generic information systems [!]
strategies) [!] (customer’s point of view) Strategic: LT objectives, allocate resources –EIS
Cost leadership; product differentiation; focus
(narrow [cost-focus] vs. broad [differentiation- Management control: monitor work, make
focus]) adjustments – MIS/DSS
Porter’s Five Forces Model(industry) Operational: how to carry out day-to-day tasks-
1. Potential entrants: How easy it is for new MIS : use data from operational systems to provide
competitors to enter the industry ?(startup/common
tech/absence of strong brands,loyalty) info for decision making/summary reports
2. Substitute products and services: What Primary: inbound logistics (acquiring of materials; Transaction Processing Systems (TPS):
alternatives are there to your product or ORGANIZING DATA Operational level; performs
service?(Many sub->High, adding value, high delivery of supplies; material handling and inventory
control; raw material warehousing); operations OLTP; provide information to other IS. Examples:
opp cost ->Low) (scheduling operations; manufacturing products; payroll systems; order entry systems; accounts
3. Suppliers power:supplier’s ability to influence optimizing workflow design efficiency; production payable/receivable systems; inventory
the prices they charge for supplies.(low choices inventory); outbound logistics (distribution of management systems; reservation systems.
from me->Highpower) uniqueness of input,cost of switching to
alternative , Reverse auction finished goods; finished goods warehousing); Typically used by clerk or analyst. Type/level of
4. Power of buyers: Do your customers have marketing and sales (market research; developing decision typically handled:
many other firms they could buy your and maintain markets); customer service (soliciting structured/operational. Type of data normally
customer inputs; handling customer complaints;
product/service from? Switching cost (L->H) providing replacement Secondary: Procurement found: transactional.
5. Intra-industry rivalry: How intense is the Decision Support Systems (DSS): Can be used on
competition? POD (current market comete) (development of alternate sources of inputs; transactional data or analytical information;
Value Proposition[!](Determines goal/s) procurement of raw materials, plant, machinery, and
Defines how a company’s product/service buildings; facilitating long-term relationships with analysis include: sensitivity (effect on outcome
reliable suppliers); technology development (working by changing constraints; what-if (testing various
fulfills the needs of customers (i.e. how the sets of assumptions on outcomes); goal-seeking
business will attract customers; why will relationships between R&D personnel and other (constraints that need to be used in order to
customers choose to do business with your departments; work environment that encourages
firm instead of another; what your firm will creativity and innovation); HRM (recruiting, training, achieve a set of goals). Typically used by
promoting employees; reward systems for manager or analyst. Type/level of decision
provide that others do not/cannot). It is also the motivating employees; maintaining a safe and typically handled: semi-structured/managerial.
primary source of competitive adva.
Target market productive environment); administrative Type of data normally found: transactional
Revenue Model coordination and support services/firm data/analytical information.
Advertising; subscription; transaction fee; sales; infrastructure (coordination and integration of all Executive Information Systems (EIS): Strategic
activities in the value chain; timely and accurate level, for unstructured decisions; contain
information for management) information from external data sources as well
“VCM, especially focusing on…/primary as internal data sources; support executive end-
/secondary/ competitive ad/As a result, focuses on users; produce summaries, trends, or
2. Business Capabilities/Info required cs, which will contribute to add Value proposition”
Process, function = capabilities Supply chain and supply chain management projections. Example: a digital dashboard.
Things that you will be able to DO to fulfill the Typically used by executive. Type/level of
Supply chain is all activities and processes to supply decision typically handled:
value position/ need to support the strategy products/services to final end customers;
Enable to…. Components of supply chain: upstream (from/to unstructured/strategic. Type of data normally
i.e: tailor solutions at pos /demonstrate product suppliers); internal (value chain); downstream supply found: analytical information.
concepts with customers/ability to move Data warehouses
chain (from/to retailers and customers). Takes data from multiple platforms/technologies
idea/enable epayment Supply chain management: A set of approaches to
Information Required: things that you will need efficiently integrate suppliers, manufacturers, and puts it in one place, for ease of analysis;
to KNOW to fulfill the value proposition warehouses, and retail stores in order to deliver data would be standardized. A data warehouse
Need to support biz capabilities products/services to final customer. The purpose of is not a location for all of the data in a business.
i.e) how many staff I need to hire? What are the
SCM is to ensure that right product be supplied to Rather, it is data used for decision-making.
cateria that I need to consider to hire staff?any the customer in the right quantities, at the right Characteristics of data warehouses: Subject-
training progam? Does cust value face face time, to the right location, and at the optimal cost. oriented (rather than organized around a
interaction?.... Components of supply chain management:
Database transaction processing system); integrated (data
Inbound/outbound logistics; inventory management; is merged in a coherent and consistent whole);
Databases hold data; can help to search data; can demand planning; supply planning; production time-variant (all information is time-stamped);
tell information about data; can link pieces of planning non-volatile (information is stable; once loaded,
data together. IT helps organizations share timely information for
Database Management System (DBMS) is an SCM, between the trading partners and rapid data never changes; old information is never
organized collection of logically related data. A removed/modified).
response to that information: forecast demand vs. Business intelligence and data mining
DBMS uses special database management actual demand; inventory levels; production
software to reduce data redundancy, share data capacity, plans, and yield; shipment status; product Business intelligence is needed because of too
in a controlled way, and reduce data integrity specifications, design, and change orders. much data, but not enough information);
problems. provides information of the past; monitors
Operations management and IT: Input
User’s role in DBMS is that they have to deal with transformation output. Information systems help current operations; predicts the future.
the application specific requirements. Data forecast and monitor operational processes. Data mining is part of the business intelligence
evolution: Often, users start to keep track of a CRM- customer centered biz strategy (collect, effort. It is information analysis software that
small amount of data and if the way to keep track maintain, analyse large amt of customer data) automatically analyzes large volumes of data to
of data is not properly done, a lot of time will be
Operational- front office CRM, direct customer identify patterns, trends, and relationships in a
wasted when the amount of data grows. contact, gather share use data to improve data warehouse or a database. It applies various
5. Technoloy :how you can increase interactions mathematical models and statistical tools to the
Analytical- use data warehousing tech, business
business/fufil data stored in a data warehouse to discover new
The value proposition that you developed intelligence customer behaviour information.
1-4 ( no technology mention, biz point of view Data mining pitfalls: Correlation does not imply
causation; the results of data mining are only as