2. In computing , data is information that has
been translated into a form that is efficient
for movement or processing.
Data can exist in a variety of forms as
numbers or text on pieces of paper , as
bits and bytes stored in electronic
memory and facts stored in a persons
mind.
3. Analytics is the discovery , interpretation and
communication of meaningful patterns in
data and applying those patterns towards
effective decision making.
It is an encompassing and multidimensional
field that uses maths , Statistics and
machine learning techniques to find
meaningful patterns and knowledge in
recorded data.
4. PREDICTIVE ANALYTICS:(Predicting the
future based on historical patterns)
PRESCRIPTIVE ANALYTICS:(Enabling
smart decisions based on data)
DESCRIPTIVE ANALYTICS:(Mining data to
provide business insights)
5. DATA ANALYSIS is a process of inspecting ,
cleansing , transforming , and modeling data.
It refers to qualitative and quantitative
techniques and processes used to enhance
productivity and business gain.
6. It is needed in business to consumer
application . Organisations collect data that
they have gathered from customers ,
businesses , economy and practical
experience.
8. Breaking a whole into its separate
components for individual examination.
Data analysis is a process for obtaining raw
data and converting it into information useful
for decision making by users.
9. Advanced analytics is a category of inquiry
that is helpful in the improvements and drive
changes in the business practices.
10. The basic analytical tools comprise of
basic business intelligence.
It examines only historical data.
ADVANCED ANALYTICS provide the tools
to focus on forecasting future behaviors and
events.
11. DATA MINING
LOCATION INTELLIGENCE
BIG DATA ANALYTICS
PREDICTIVE ANALYTICS
12. Tools and techniques that gear the analysts
mind higher levels of critical thinking can
substantially improve analysis , structuring
information , challenging assumptions and
exploring alternative interpretations.
