NIIT
SNS GROUP…
Presented By:-
Business Intelligence is a technology for
gathering, storing, analyzing & providing access to data to
help enterprise user...
Data Mining
Data Warehouse
Data Analysis
Data mining is “the extraction of hidden predictive
information from large database”.
Data mining software is one of a num...
Nowadays data mining is primarily used by companies with a
strong consumer focus - retail, financial, communication, and
m...
Extract
and load
operation
data .
Analyze the
data by
application
software.
Provide
data to
business .
Store and
manage
th...
Data mining is having lot of importance because of its huge
applicability.
It is being used increasingly in business appli...
A data warehouse is a place where data is stored for analysis
and security purposes.
A data warehouse is either a single c...
Data Warehouse
Staging
Integration Access
Online Transaction Processing(OLTP): -
It is a data warehouse model, is built for speed and ease of use.
Online Analytical...
Using the data in a warehouse can help user locate trends and
focus on decision making.
Data warehouses also increase the ...
Data warehouse is time consuming to create.
It is need to create a cohesive.
Over their life, data warehouses can have hig...
Decision support
Trend analysis
Financial forecasting
Insurance fraud analysis
Call record analysis
Logistics and Inventor...
It is a process of inspecting, cleaning, transforming, and
modeling data with the goal of highlighting useful
information,...
Data
Analysis
EDA CDA
Data
Cleaning.
Running
Analysis
Presenting
Results
Protecting
Files
Data
Analysis
Reductive
Analysis
Mathematical
Analysis
Visual
Analysis
Thanks to you all
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Business Intelligence

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Business Intelligence

  1. 1. NIIT
  2. 2. SNS GROUP… Presented By:-
  3. 3. Business Intelligence is a technology for gathering, storing, analyzing & providing access to data to help enterprise users make better business decisions. It is the processes that help us to change data into information, information into knowledge and knowledge into plans that guide organization.
  4. 4. Data Mining Data Warehouse Data Analysis
  5. 5. Data mining is “the extraction of hidden predictive information from large database”. Data mining software is one of a number of analytical tools for analyzing data. Data mining is a powerful new technology to help companies to extract important information from their data warehouse.
  6. 6. Nowadays data mining is primarily used by companies with a strong consumer focus - retail, financial, communication, and marketing organizations. It enables these companies to determine relationships among "internal" factors such as price, product positioning, or staff skills, and "external" factors such as economic indicators, competition, and customer demographics.
  7. 7. Extract and load operation data . Analyze the data by application software. Provide data to business . Store and manage the data in a multidime nsional database system. Present the data in a useful format, su ch as a graph or table.
  8. 8. Data mining is having lot of importance because of its huge applicability. It is being used increasingly in business applications for understanding and then predicting valuable data. Data Mining is used in several applications like consumer behavior, direct marketing etc.
  9. 9. A data warehouse is a place where data is stored for analysis and security purposes. A data warehouse is either a single computer or many computers (servers) tied together to create one giant computer system.
  10. 10. Data Warehouse Staging Integration Access
  11. 11. Online Transaction Processing(OLTP): - It is a data warehouse model, is built for speed and ease of use. Online Analytical Processing(OLAP): - It is more difficult to use and adds an extra step of analysis within the data.
  12. 12. Using the data in a warehouse can help user locate trends and focus on decision making. Data warehouses also increase the consistency of the data . Before loading data into the data warehouse, inconsistencies are identified and resolved. This greatly simplifies reporting and analysis.
  13. 13. Data warehouse is time consuming to create. It is need to create a cohesive. Over their life, data warehouses can have high costs.
  14. 14. Decision support Trend analysis Financial forecasting Insurance fraud analysis Call record analysis Logistics and Inventory management Agriculture
  15. 15. It is a process of inspecting, cleaning, transforming, and modeling data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. Business intelligence covers data analysis that relies heavily on aggregation, focusing on business information.
  16. 16. Data Analysis EDA CDA
  17. 17. Data Cleaning. Running Analysis Presenting Results Protecting Files
  18. 18. Data Analysis Reductive Analysis Mathematical Analysis Visual Analysis
  19. 19. Thanks to you all

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