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SIT chapter 11 and databases

records
number of rows in access
fields
number of columns in access
evidence based management
facts are gathered and analyzed as the first step in decision making
factual data
Oakland A’s used this to carry themselves to playoffs
data warehouse
collections of data designed to support management decision-making, and sometimes serve as repositories of organizational knowledge
knowledge management involves
knowledge generation
knowledge capture
knowledge codification
knowledge transfers across the organization
business analytics
fuels fact-based decision making
tacit knowledge
hard to structure, hard to transfer, and highly personal to the source
design
patents
trademarks
copyrights
types of intellectual property
business analytics example
Caesars Entertainment Corp used this which includes quantitative and predictive models applied to customer data to more than double revenues
knowledge management
the processes needed to generate, capture, codify and transfer knowledge across the organization to achieve competitive advantage
how does technology play a role in managing knowledge
supports collaboration
makes up infrastructure
stop online piracy act (SOPA)
protect IP act (PIPA)
2 legislation protecting intellectual property
descriptive analytics (BI)
reporting
querying
dashboards
scorecards
predictive analytics (BA)
statistical analysis/data mining
forecasting/extrapolation
predictive modeling
optimization
business intelligence
the set of technologies and processes used to describe business performance
hard to duplicate
uniqueness
adaptability
better than competition
renewability
davenport and harris’ five capabilities
data repositories
data warehouses sometimes serve as these for organizational knowledge
software tools
there are a number of software tools – the best stem from traditional statistical software providers like IBM ans SAS; newer toosets include open source software known as
R
analytics environment
alignment of corporate culture; organizational environment that creates and sustains the use of the analytics tools
four aspects of analytics environment
reward/incentive system for use of tools
metrics used to measure success of initiatives
processes for using analytics
willingness to test or experiment
skilled work force
experts are needed, managers must set the example, require lots of decisions be made using analytics
data warehouse positives
allows separate reporting and analysis operations from transaction systems to maximize the performance of both
OLTP (online transaction processing)
a class of information systems RELATIONAL DATA BASE
OLAP (online analytical processing)
computer processing that enables a user to easily and selectively extract and view data from different points of view ANALYTICS DATA CUBE
according to davenport, data needs to be
1. structured
2. classified
3. counted
4. analyzed
types of analytics
text
social
voice
video
genome
big data
when the size of the data itself becomes part of the problem, difficult to store, search, share and analyze
Hadoop
a tool used to do Big Data analysis, an open source tool that uses the map reduce algorithm
DRUID
developed by yahoo, processes large data sets in real time
data lake
companies use big data tools to create these
map
read data file, identify selected items, write new file
reduce
read new file and consolidate
SAP HANA
next generation data base based on an in-memory data model, everything is in one place in columns instead of rows, SQL Queries are used

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