business value of data warehouse

8/2/2019 Business Value of Data Warehouse

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BUSINESS VALUE OF

DATA WAREHOUSEBY :

Sheetal(1063)

Prachi (1105)

Prity Raj (1107)

Manju (1111)


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INTRODUCTION

A data warehouse stores data that have been

extracted from the various operational externaland other data base of organization

To meet instantaneous fulfillment of the need cutting across externaland internal source of data it is necessary to design data warehouse

It is central source of data in cleaned form that can be used by themangers and other business professionals.

Used in data mining, market research, decision support and otherforms of business analysis.


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Types of Databases


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Data Warehouse & Data Marts

Data Mart is aDatabases thathold subsets ofdata from adata warehousethat focus onspecificaspects of acompany


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PROCESS FLOW WITHIN DATAWAREHOUSE


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IMPLEMENTATION INBUSINESS

Immediate Access to Information

Data warehouses shrink the length of time it takes between when

business events occurrence and executive alert. For example, inmany corporations, sales reports are printed once a month - about aweek after the end of each month. Thus, the June sales reports aredelivered during the first week in July.

Using a warehouse, those same reports are available on a dailybasis. Given this data delivery time compression, business decisionmakers can exploit opportunities that they would otherwise miss.


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Data integration from across, and evenoutside, the organization

To provide a complete picture, warehouses typically combine datafrom multiple sources such as a company's order entry and warrantysystems. Thus, with a warehouse, it may be possible to track allinteractions a company has with each customer.

This makes it possible for managers to have answers to questionslike, "Is there a correlation between where a customer buys ourproduct and the amount typically spent in supporting thatcustomer?"


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Future vision from historical trends

Effective business analysis frequently includes trend and

seasonality analysis. To support this, warehouses typically containmultiple years of data

Also, warehouses are designed to do time-based (temporal,longitudinal) analysis


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Sales Analysis Analyze past product sales to determine success or failure

attributes

Evaluate successful products and determine key success factors

Rapidly identify a preferred customer profile based on revenueand margin

Identify daily where product is in the manufacturing anddistribution pipeline

Instantly determine which salespeople are performing, on both arevenue and margin basis, and which are behind


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Financial Analysis

Compare actual expenses to budgets on an annual, monthly and

month-to-date basis

Review past cash flow trends and forecast future needs

Identify and analyze key expense generators Instantly generatea current set of key financial ratios and indicators

Receive near-real-time, interactive financial statements


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Manufacturing:

Operating efficiency

Defects/quality control analysis why do certain products havehigh/low defect rates?

Operating efficiency across plants what factors lead toefficiency


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Customer Analysis Analyze customer overall customer behavior purchases (from

across applications), calls for product service, response tomarketing activity, etc.

Allows organization to understand who best customers are so

you can treat them in a special way to retain them. Also, allowsyou to identify the characteristics of your best customers so youcan recruit new customers

Segment customers

Predict Customer behavior


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business value of data warehouse

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