Business Intelligence and Datawarehousing

Business Intelligence & Data Warehousing Solutions

© 2010 Transpacific Software Pvt Ltd,Inc. All rights reserved

Agenda


Introduction to Business Intelligence & Data Warehouse.

How BI & DWH helps your business.

TPS BI & DWH Approach.

Success Stories.


Have you thought of this ?


Problem with Organization having loads of data


I can’t find the data I need A Data is scattered over the network many versions, subtle differences.

I can’t get the data I need Need an expert to get the data.

I can’t understand the data I found Available data poorly documented.

I can’t use the data I foundResults are unexpected; data needs

to be transformed from one form.

“Although organizations are “Data Rich”, they are still “Information Poor” and a majority of the business users today are still going on “gut feel,” and not utilizing the data from these systems to make effective business decisions.

B

C

D


Do these questions bother you ?


Can some one organize my data?

How can I use my data in a way that it gives me the information that I want?

Can some tool help me to get a bird’s eye view of my business operations?

Will the information help me to have a glimpse of future trends in the business?

What returns can I expect?


Business Intelligence can help… Set of Applications and technologies to gather and store data systematically.

Processing in a way to provide access to enterprise wide data.

Act as a Decision support system. Transform enterprise wide data into vast information (Reports, Graphs etc.)

Help enterprise users to make better business decisions.


Very large data bases that store historical data in proper format.

Data warehouse is a collection of integrated de-normalized databases for fast response performance.

Is a source of ready data for extracting valuable business information.

Data Warehouse :

DATA INFORMATION Data Warehouse

In Business Terms:Technique for assembling and managing data from various sources for the purpose of answering business questions. Thus making decisions that were not previously possible.


Operational System

Data Warehouse

ReplaceChange

InsertDelete

DB

Legacy sources

Flat files

Data Sources

Analysis

Reporting

Data Mining

Data Warehouse Architecture


Data Mining

Data mining is the process of extracting patterns from data.

Generally is fed from a clean and relational Data source like a Data warehouse.

Uses various statistical analysis, techniques and algorithms.

Data analyzed in various ways like Trend Analysis, Forecasting, Predictive analytics.

Commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection, scientific discovery, CRM, Churn Analysis etc.

Data Warehouse

Tren

ds

Hid

den

Relatio

nsh

ips

Dep

end

encies


ANALYSIS INSIGHTS BUSINESS BENEFITS

Marketing & SalesMoment of Sales, Geographic distribution. Buying Patterns, Customer Segmentation , Most Preferred Products.

Take correct decisions regarding your promotion strategy, target market, Market placement , Inventory management etc.

FinancialActual to Estimated budget AnalysisCash flow trends over the yearsProfit centers and Cost Centre analysis.

Calculate your exact ROI . Keep close watch on your companies financial position and take corrective action.

Human ResourcesEvaluate trends in benefit program use .Performance Analysis.Determine Skill set levels and Training needs.

Assure Employee Delight and keep them motivated.Better trained employees mean better productivity.

Web

Analyze traffic on your web site Understand browsing PatternsMarket baskets analysis through shopping cartsCustomer Relationship Management

Keep you website on top of all the search engine.Increase your reach world wide in a systematic way.Retain you customers on such high churn business model.Expand or contract your product line for better selling opportunities.

What returns can I expect?


Business Requirement Gathering Client Interviews , Development documents , Mainly focusing on reporting desired, Goal Settings .

Process Mapping and Gap AnalysisUnderstand the processes and document them. Do a Gap analysis to determine the scope .

Data Base auditing and Estimation Audit the database to determine the quality of data and estimate the amount of work.

Subject Area Divide the project on the bases of subject areas for better and focused development.

ETL and ReportingIndustry standard Extract ,Transform and load process to arrive at a cleaner and relational DW.

Data Mining Mine the data warehouse to give the client in depth insights and hidden patterns to strengthen their business models.

“ Throughout the total development effort, we maintain just one simple rule—enhance those things that bring value to the customer and eliminate those that don’t ”.

TPS Approach


AAAmerican Airlines set up a data warehouse to detect fraudulent ticket-processing, track ticket sales properly and ensure proper revenue is flowing into the company.It thus helped AA to save roughly $250,000 in development costs and expose fraud ticketing saving about $5 million in five years.

DHLDHL now has a data warehouse that provides major benefits in its daily operational activities. A drastic drop in IT costs and significantly better information to make critical decisions provide added value of the business intelligence (BI) solution.

Ringnes ASA subsidiary of the Carlsberg Group, and Norway's largest brewer/beverage distributor. With DWH they could creates new, actionable information about product shipment location and flow; Enables optimization of container and trailer use; Lays the groundwork for expanded control of the supply chain.

ICICI BankIndia's largest private sector bank with a network of 1,308 branches and 3,950 ATMs as well as robust Internet banking and having presence in 19 countries, including India.The bank generated terabytes of data with high volume of transactions. With Data warehouse ICICI bank could set up a enterprise wide DSS system , fraud detection, and various mining and forecasting systems which showed exceptional returns year on year.


Qwest

Twice a year Qwest sifts through its customer list looking for customers that have the potential to be more profitable. The company’s database contains as many as 200 observations about each customer’s calling patterns. By looking at demographic profiles, plus the mix of local versus long distance calls or whether a consumer has voice mail, Qwest can estimate potential spending. Next, the company determines how much of the customer’s likely telecom budget is already coming its way. Armed with that knowledge, Qwest sets a cut-off point for how much to spend on marketing to this customer.

Royal Caribbean Royal Caribbean uses its database to offer spur of the moment cruise packages to fill all the berths on its ships. It focuses on retired people and single people because they are more able to make quick commitments. Fewer empty berths mean maximized profits for the cruise line.

Fingerhut The skilful use of database marketing and relationship building has made catalogue house Fingerhut one of the nation’s largest direct mail marketers. Not only is its database full of demographic details such as age, marital status, and number of children, but it also tracks customer’s hobbies, interests, and birthdays. Fingerhut tailors mail offers based on what each customer is likely to buy. Fingerhut stays in continuous touch with customers through regular and special promotions, such as annual sweepstakes, free gifts, and deferred billing. Now the company has applied its database marketing to its web sites.


Mars Mars is a market leader not only in candy but also in pet food. In Germany, Mars has compiled the names of virtually every cat owning family by contacting veterinarians and by advertising a free booklet titled “How to Take Care of Your Cat”. Those who request the booklet fill out a questionnaire, so mars know the cat’s name, age, and birthday. Mars now sends a birthday card to each cat each year, along with a new cat food sample or money saving coupons for Mars brands.

American Express It is no wonder that, at its secret location in Phoenix, security guards watch over American Express’s 500 billion bytes of data on how its customers have used the company’s 35 million green, gold, and platinum charge cards. Amex uses the database to include precisely targeted offers in its monthly mailing of millions of customer bills.

* Reference: Marketing Management by Philip Kotler & Kevin Keller.

Corporate Office:Transpacific Software Pvt Ltd207,Madhava,BKC,Mumbai-400051, IndiaTel: 91-22-64512445/32522901www.transpacific.in


Thank you

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Business Intelligence and Datawarehousing

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