Bts(Fs-tmt) Dwh - Ucf 2.x Advanced Olap Concepts v1.0 - Part 3

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Advanced OLAP ConceptsAdvanced OLAP ConceptsPart 3Part 3

<OLAP Concepts 201 Series>Renu Singh

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OLAP Overview• On-Line Analytical Processing is a decision support

software that allows the user to quickly analyze information that has been summarized into multidimensional views and hierarchies.

• There are three main features of OLAP system : Multidimensional Viewing – OLAP supports

multidimensional model which consists of facts and dimensions also called as Star Schema.

Calculation Intensive Capabilities – Due to data is stored in facts and dimensions tables, it enables users to analyze data without much calculations.

Time Series analysis – Enables users to analyze data across time.

• This Module will cover the details in four parts:– Part 1 – OLAP Modeling – Building Blocks– Part 2 – OLAP Types & Architectures

– Part 3 – OLAP Reporting Styles

– Part 4 – OLAP Issues & Optimization


OLAP Objectives

Upon completion of this module you will be able to:• Reporting & Analytics• Advanced Reporting & Analytics


OLAP Outline

Lesson 1 Reporting & Analytics

Lesson 2 Advanced Reporting & Analytics

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Reporting & Analytics

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Operational Reporting – Overview

• Reporting based on the Operational or Transactional database on a real time basis is called as Operational reporting.

• Operational Reporting is used to: • Track core operational processes, activities or data • Display real time information. • Emphasize Monitoring more than Analysis or

Management.

• Operational Reports are used by people with responsibility for improving operation


Operational Reporting – Example

Arrival rate and Capacity in a Call center


Cube-Based Reporting – Overview

• Cubes are logical representation of multidimensional data. The edge of the cube contains dimension members and the body of the cube contains data values

• Cube based reporting allows fast analysis of data and the capability of manipulating and analyzing data from multiple perspectives

• Business users and Data Analysts access the cube reports to conduct the deep segment analysis

• Cubes are well suited for the OLAP systems than the Operational databases


Cube-Based Reporting – Features

1. Slice and Dice2. Drill up /drill down3. Hierarchies4. Roll up5. Pivot6. Drill through


Cube-Based Reporting – Example1


Cube-Based Reporting – Example 2

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Advanced Reporting & Analytics


Dashboards – Overview

Dashboards: An interactive, visual User Interface that enables 3 key aspects of business:

• Monitor (present)• Analyse (past) • Manage (future)

Dashboard contain:• high-level, aggregated company strategic data with

comparisons and performance indicators Monitor (present)

• Include both static and interactive reports• Lots of graphics, charts, gauges and illustrations

Different Categories of Dashboards are 1. Operational Dashboards2. Tactical Dashboards3. Strategic/Executive Dashboards


Dashboards – Example

Dashboard for the high level Management


Scorecards – Overview

• The scorecard (or balanced scorecard) is a strategic management system that helps organizations translate their strategies into objectives that drive both behavior and performance.

• Four Perspectives of Balance Scorecard are 1. Financial2. Customer3. Learning & Growth4. Internal Process

• Scorecards require a more structured approach and framework than a dashboard


Scorecards – Example


What-If Analysis – Overview

What-if analysis

Is the process of changing the values in cells to see how those changes will affect the outcome of formulas on the worksheet.

Helps decision makers to evaluate impact of a strategically or tactical move before hand,


What-If Analysis – Example

SLIDE 1 BUSINESS OBJECTS CONFIDENTIA L. COPYRIGHT © 2008 BUSINESS OBJECTS S.A.

View In Presentation Mode For Interactivity

Profitability Model


Market Basket Analysis – Overview

Market Basket Analysis is about analyzing the combinations of products that sell together.

Identifies items/events that happen (or don’t) together.

Attempts to provide interesting findings to improve the sales.

Analysis is used for Cross selling , Up Selling , sales promotions, loyalty programs, store design, and discount plans.


Market Basket Analysis – Example

Market Basket Analysis results will look as follows


Trend Analysis – Overview

Trend analysis is based on the idea that what has happened in the past gives an idea of what will happen in the future.

Trend analysis is well understood •When you have historical data•Solid Reasoning•Realistic expectations


Trend Analysis – Example


Statistical Analysis – Overview

Statistics is the science of decision making under uncertainty.

Decision making process under uncertainty is largely based on application of statistical data analysis for probabilistic risk assessment of a decision.

Statistical skills enable you to intelligently collect, analyze and interpret data relevant to their decision-making.


Statistical Analysis – Example


Congratulations! You have now completed the module Reporting and Advanced Reporting Analytics

You should now be able – Understand different types of Reporting

Module Summary

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1. Impact analysis which is performed by changing values in the cell is know as a) Dashboardsb) Scorecardsc) What- If Analysisd) Operation Reporting

Question 1

Answer: B


2. ______Reporting type is used to discover relationships between pairs of products purchased togethera) Cube reportingb) Market Basket Analysisc) Trend Analysisd) None of the above

Question 2

Answer: B


3. __________Reporting style supports ongoing operational system

a) Operational reportingb) Market Basket Analysisc) Trend Analysisd) None of the above

Question 3

Answer: A


4. _______ enable users to quickly monitor and track performance via an aesthetic user interface

a) Cube reportingb) Market Basket Analysisc) Dashboardd) None of the above

Question 4

Answer: C


5. _________enable user to solve problems in a diversity of contexts.

a) Statistical reportingb) Market Basket Analysisc) Trend Analysisd) None of the above

Question 5

Answer: A


References

Library:Tek-tips reporting solutions

forumhttp://www.dmreview.com/http://www.dwinfocenter.org

Data warehouse and OLAP – Concepts, Architecture and Solutions by Robert Wrember & Christian Koncilia

The OLAP Report by Nigel Pendse and Richard Creeth

The OLAP Solutions – Building Multidimensional Information Systems Second Edition by Erik Thomsen, Wiley dreamtech India Pvt. Ltd. 2002 ISBN 81-265-0275-4

Publications Publications

Training ProgramsURL’s

Bts(Fs-tmt) Dwh - Ucf 2.x Advanced Olap Concepts v1.0 - Part 3

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