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	<title>Mohit Sewak &#187; Analytics and Consulting</title>
	<atom:link href="http://mohit.sewak.in/category/analytics-and-consulting/feed/" rel="self" type="application/rss+xml" />
	<link>http://mohit.sewak.in</link>
	<description>Gold Medalist (Marketing), Silver Medalist (Finance), Silver Medalist (PGPM)</description>
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			<item>
		<title>Results (Conjoint Analysis- Indian Insurance Industry)</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/business-analytics/conjoint-analysis/results-conjoint-insurance/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/business-analytics/conjoint-analysis/results-conjoint-insurance/#comments</comments>
		<pubDate>Sun, 14 Mar 2010 15:19:31 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Analytics and Consulting]]></category>
		<category><![CDATA[Business Analytics]]></category>
		<category><![CDATA[Conjoint Analysis]]></category>
		<category><![CDATA[Primary Research]]></category>
		<category><![CDATA[Advertising Channel]]></category>
		<category><![CDATA[Communication Channel]]></category>
		<category><![CDATA[conjoint design]]></category>
		<category><![CDATA[Coverage]]></category>
		<category><![CDATA[Distribution Channel]]></category>
		<category><![CDATA[Feature of Plan]]></category>
		<category><![CDATA[Gap Analysis]]></category>
		<category><![CDATA[Indian Insurance]]></category>
		<category><![CDATA[LIC]]></category>
		<category><![CDATA[Life Insurance Industry]]></category>
		<category><![CDATA[orthogonal design]]></category>
		<category><![CDATA[Perception Mapping]]></category>
		<category><![CDATA[quantitative research]]></category>
		<category><![CDATA[type of Plan]]></category>
		<category><![CDATA[Utility Values]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=1310</guid>
		<description><![CDATA[.
.
.
Results &#8211; (Conjoint Analysis of the Indian Life Insurance)

.
.
Utility Values of Different Levels in every Factor:
.






. 




 
Factor

 
Level

Utility Estimate


Std. Error




Type


Term


.356


.191




ULIP


-.402


.191




Endowment


.046


.229




Coverage


Only Life


.019


.210




Life + heath


-.266


.260




life + pension


.704


.260




joint (spouse/ kids)


-.456


.260




Distribution


Online Purchase


.110


.191




Through Agent


.378


.191




Through Corpoate Tie-Ups


-.488


.229




Communication


Social Media


.090


.275




TV Ads


.500


.275




Newspaper &#38; Print Ads


-.255


.275




Hoarding &#38; Banners


.385


.275




Online Ads i.e. Google Adwords


-.720


.275




Positioning


Simple and honest plan


.412


.210




Maximizing Returns


-.217


.260




Maximizing coverage options


-.272


.260




Assured/ easier claims


.077


.260






(Constant)


12.825


.163




.
.

Importance of Different Attributes of [...]]]></description>
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		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>Phase 2 &#8211; Quantitaive Research (Conjoint &#8211; Indian Insurance Industry)</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/business-analytics/conjoint-analysis/phase2-conjoint-insurance/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/business-analytics/conjoint-analysis/phase2-conjoint-insurance/#comments</comments>
		<pubDate>Sun, 14 Mar 2010 13:43:05 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Analytics and Consulting]]></category>
		<category><![CDATA[Business Analytics]]></category>
		<category><![CDATA[Conjoint Analysis]]></category>
		<category><![CDATA[Primary Research]]></category>
		<category><![CDATA[conjoint design]]></category>
		<category><![CDATA[Gap Analysis]]></category>
		<category><![CDATA[Indian Insurance]]></category>
		<category><![CDATA[LIC]]></category>
		<category><![CDATA[Life Insurance Industry]]></category>
		<category><![CDATA[orthogonal design]]></category>
		<category><![CDATA[Perception Mapping]]></category>
		<category><![CDATA[quantitative research]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=1303</guid>
		<description><![CDATA[.
.
.
Phase 2 &#8211; Quantitative Research &#8211; (Conjoint Analysis of the Indian Life Insurance)

.
.
Research 3:
Method:  Conjoint Analysis. 
Type: Fractional Factorial Design/ Full  Profile Conjoint Design.
.

(Green, P. and Srinivasan, V. (1978) Conjoint analysis in consumer research: Issues and outlook, Journal of Consumer Research, vol 5, September 1978, pp 103-123)
.
Research Design:

A total      of [...]]]></description>
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		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Design of Experiment  (Conjoint Analysis &#8211; Indian Life Insurance Industry)</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/business-analytics/conjoint-analysis/doe-conjoint-insurance/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/business-analytics/conjoint-analysis/doe-conjoint-insurance/#comments</comments>
		<pubDate>Sun, 14 Mar 2010 13:21:10 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Analytics and Consulting]]></category>
		<category><![CDATA[Business Analytics]]></category>
		<category><![CDATA[Conjoint Analysis]]></category>
		<category><![CDATA[Primary Research]]></category>
		<category><![CDATA[design of experiment]]></category>
		<category><![CDATA[Gap Analysis]]></category>
		<category><![CDATA[Indian Insurance]]></category>
		<category><![CDATA[LIC]]></category>
		<category><![CDATA[Life Insurance Industry]]></category>
		<category><![CDATA[Perception Mapping]]></category>
		<category><![CDATA[qualitative research]]></category>
		<category><![CDATA[Secondary Research]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=1296</guid>
		<description><![CDATA[.
.
.
Design of Experiment &#8211; (Conjoint Analysis of the Indian Life Insurance)

.
.
Phase 1 &#8211; Qualitative Research
 .
Research 1:
Method:  Secondary Research
Description:
.


We went through various literature on the different policies and plans being offered by various companies, their features, and their market shares.
We also visited their websites, newspaper, and TV ads to identify their integrated communication strategy.

.
.
Snapshot  [...]]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>A Conjoint Analysis of the Indian Life Insurance Industry</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/business-analytics/conjoint-analysis/conjoint-analysis-insurance/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/business-analytics/conjoint-analysis/conjoint-analysis-insurance/#comments</comments>
		<pubDate>Sun, 14 Mar 2010 12:09:15 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Analytics and Consulting]]></category>
		<category><![CDATA[Business Analytics]]></category>
		<category><![CDATA[Conjoint Analysis]]></category>
		<category><![CDATA[Marketing]]></category>
		<category><![CDATA[Primary Research]]></category>
		<category><![CDATA[Gap Analysis]]></category>
		<category><![CDATA[Indian Insurance]]></category>
		<category><![CDATA[LIC]]></category>
		<category><![CDATA[Life Insurance Industry]]></category>
		<category><![CDATA[Perception Mapping]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=1288</guid>
		<description><![CDATA[.
.
.
A Conjoint Analysis of the Indian Life Insurance Industry
.
.
.
Why Conjoint Analysis?

.
Conjoint Analysis (Srinivasan, V. &#8211; 1978) is considered far superior to any other research methodology of knowing consumer perception, and scope of new product launch. The main reason behind this is that this is one of those rare techniques that makes the customer makes real [...]]]></description>
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		<slash:comments>14</slash:comments>
		</item>
		<item>
		<title>Business Challenges for KPO/ BKO/ BPO in India</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/outsourcing/kpo/indian-kpo-business-challenges/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/outsourcing/kpo/indian-kpo-business-challenges/#comments</comments>
		<pubDate>Fri, 29 Jan 2010 17:05:39 +0000</pubDate>
		<dc:creator>Mohit Sewak</dc:creator>
				<category><![CDATA[KPO]]></category>
		<category><![CDATA[Outsourcing]]></category>
		<category><![CDATA[Business Challenges for KPO/ BKO/ BPO in India]]></category>
		<category><![CDATA[Ease of doing Business]]></category>
		<category><![CDATA[High Attrition rate and Training Costs]]></category>
		<category><![CDATA[High Costs of Telecommunications]]></category>
		<category><![CDATA[High Marketing Costs]]></category>
		<category><![CDATA[Lack of infrastructure]]></category>
		<category><![CDATA[Nature of work]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=1283</guid>
		<description><![CDATA[.
.
Business Challenges for KPO/ BKO/ BPO in India
.
.
.
 
High Marketing Costs:
BPO industry consists of large as well as small firms (with less than 300 employees). The major weakness of these smaller BPOs is the high marketing costs. These costs are mostly incurred while searching for new market opportunities.  Further, a need to have onsite offices [...]]]></description>
		<wfw:commentRss>http://mohit.sewak.in/analytics-and-consulting/outsourcing/kpo/indian-kpo-business-challenges/feed/</wfw:commentRss>
		<slash:comments>5</slash:comments>
		</item>
		<item>
		<title>Future market opportunities for the Indian BKO/ KPO/ BPO Industry</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/outsourcing/kpo/indian-kpo-bko-opportunities/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/outsourcing/kpo/indian-kpo-bko-opportunities/#comments</comments>
		<pubDate>Fri, 29 Jan 2010 16:17:33 +0000</pubDate>
		<dc:creator>Mohit Sewak</dc:creator>
				<category><![CDATA[KPO]]></category>
		<category><![CDATA[Outsourcing]]></category>
		<category><![CDATA[export BPO market]]></category>
		<category><![CDATA[Future market opportunities for the Indian BKO/ KPO/ BPO Industry]]></category>
		<category><![CDATA[Market opportunity by nature of work]]></category>
		<category><![CDATA[Market opportunity by source geography]]></category>
		<category><![CDATA[Market opportunity by type of services]]></category>
		<category><![CDATA[Market opportunity by verticals]]></category>
		<category><![CDATA[US$ 220-280 billion by 2012]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=1273</guid>
		<description><![CDATA[.
.
Future market opportunities for 
.
The Indian BKO/ KPO/ BPO Industry
 .
.
.
The achievements to date of Indian BPO industry are impressive. However, there is significant headroom to tap the addressable market opportunity from exports and from serving the domestic market. A bottom-up analysis shows a total export BPO market opportunity of US$ 220-280 billion by 2012. [...]]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Different Types Of Services Being Offered by Indian BPOs / KPOs</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/outsourcing/kpo/indian-bpo-services-offered/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/outsourcing/kpo/indian-bpo-services-offered/#comments</comments>
		<pubDate>Fri, 29 Jan 2010 16:03:12 +0000</pubDate>
		<dc:creator>Mohit Sewak</dc:creator>
				<category><![CDATA[KPO]]></category>
		<category><![CDATA[Outsourcing]]></category>
		<category><![CDATA[Book Keeping and Accounting Services]]></category>
		<category><![CDATA[Data Conversion Services]]></category>
		<category><![CDATA[Data Entry Services / Data Processing Services]]></category>
		<category><![CDATA[Employee IT Help-desk Services]]></category>
		<category><![CDATA[Form Processing Services]]></category>
		<category><![CDATA[Insurance Processing]]></category>
		<category><![CDATA[Internet / Online / Web Research]]></category>
		<category><![CDATA[OCR with Editing & Indexing Services]]></category>
		<category><![CDATA[Scanning]]></category>
		<category><![CDATA[Services Being Offered by Indian BPOs / KPOs]]></category>
		<category><![CDATA[Technical Support Services]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=1266</guid>
		<description><![CDATA[.
.
Different Types Of Services Being Offered by 
.
Indian BPOs / KPOs Currently
 .
.
.
There are many types of Business/ Knowledge Process Outsourcing services being outsourced to India. A complete list of such services under their respective categories is given below:
.
.
1. Technical Support Services 
Technical support offerings include round-the-clock technical support and problem resolution for OEM customers [...]]]></description>
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		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>BKO Industry: Industry Analysis and The Indian AdvantageOutsour</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/outsourcing/kpo/bko-industry-analysis/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/outsourcing/kpo/bko-industry-analysis/#comments</comments>
		<pubDate>Fri, 29 Jan 2010 15:40:04 +0000</pubDate>
		<dc:creator>Mohit Sewak</dc:creator>
				<category><![CDATA[KPO]]></category>
		<category><![CDATA[Outsourcing]]></category>
		<category><![CDATA[Banking]]></category>
		<category><![CDATA[BKO Industry]]></category>
		<category><![CDATA[BPO]]></category>
		<category><![CDATA[BPOS segments]]></category>
		<category><![CDATA[Business Knowledge Outsourcing Industry]]></category>
		<category><![CDATA[Capital Markets]]></category>
		<category><![CDATA[Customer Interaction & Support. CIS]]></category>
		<category><![CDATA[Customer Interaction and Support]]></category>
		<category><![CDATA[F&A]]></category>
		<category><![CDATA[Finance & Accounting]]></category>
		<category><![CDATA[Growing at more than 35 percent]]></category>
		<category><![CDATA[Human Resources]]></category>
		<category><![CDATA[Industry Analysis]]></category>
		<category><![CDATA[Insurance]]></category>
		<category><![CDATA[Knowledge Process Outsourcing Industry]]></category>
		<category><![CDATA[Knowledge Services]]></category>
		<category><![CDATA[labor arbitrage]]></category>
		<category><![CDATA[Offshoring]]></category>
		<category><![CDATA[Procurement Services]]></category>
		<category><![CDATA[The Indian Advantage]]></category>
		<category><![CDATA[US$ 26-29 billion]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=1259</guid>
		<description><![CDATA[.
.
Industry Analysis of the KPO/ BKO/ BPO Industry,
.
and The Indian Advantage
.
.
.
Growing at more than 35 percent over the past three years, BPO is the fastest growing segment of the overall offshore market, and is currently estimated at US$ 26-29 billion. While labor arbitrage has been a key driver for this growth, other factors such as [...]]]></description>
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		<slash:comments>5</slash:comments>
		</item>
		<item>
		<title>Knowledge Process Outsourcing &#8211; Choosing The Right Strategy:</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/outsourcing/kpo/kpo-right-strategy/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/outsourcing/kpo/kpo-right-strategy/#comments</comments>
		<pubDate>Fri, 29 Jan 2010 15:21:57 +0000</pubDate>
		<dc:creator>Mohit Sewak</dc:creator>
				<category><![CDATA[KPO]]></category>
		<category><![CDATA[Outsourcing]]></category>
		<category><![CDATA[BKO]]></category>
		<category><![CDATA[BPO]]></category>
		<category><![CDATA[China]]></category>
		<category><![CDATA[Choosing The Right Strategy]]></category>
		<category><![CDATA[Copal Partners]]></category>
		<category><![CDATA[Eastern Europe]]></category>
		<category><![CDATA[Evaluserve]]></category>
		<category><![CDATA[Fargo]]></category>
		<category><![CDATA[in-sourcing]]></category>
		<category><![CDATA[Integrant]]></category>
		<category><![CDATA[Intergeon]]></category>
		<category><![CDATA[Jackie Range]]></category>
		<category><![CDATA[Knowledge Process Outsourcing]]></category>
		<category><![CDATA[N.D.]]></category>
		<category><![CDATA[off-shoring]]></category>
		<category><![CDATA[Office Tiger]]></category>
		<category><![CDATA[Philippines]]></category>
		<category><![CDATA[Rethinking the India Back Office]]></category>
		<category><![CDATA[South America]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=1250</guid>
		<description><![CDATA[.
.
Knowledge Process Outsourcing
.
Choosing The Right Strategy:

.
.

.
There are several options for how a company can outsource or offshore research and other business processes. The most common approach is to band off the process to another entity, which performs the work on the requesting company&#8217;s behalf. The location of choice for outsourcing has been India, which has [...]]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Key Success Factors in the KPO Industry</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/outsourcing/kpo/kpo-industry-success-factors/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/outsourcing/kpo/kpo-industry-success-factors/#comments</comments>
		<pubDate>Fri, 29 Jan 2010 15:08:07 +0000</pubDate>
		<dc:creator>Mohit Sewak</dc:creator>
				<category><![CDATA[KPO]]></category>
		<category><![CDATA[Outsourcing]]></category>
		<category><![CDATA[BKO]]></category>
		<category><![CDATA[BPO]]></category>
		<category><![CDATA[Business Knowledge Outsourcing]]></category>
		<category><![CDATA[Business Process Outsourcing]]></category>
		<category><![CDATA[Information of Suppliers' Contracts]]></category>
		<category><![CDATA[ISECI]]></category>
		<category><![CDATA[Key Success Factors]]></category>
		<category><![CDATA[Knowledge Process Outsourcing]]></category>
		<category><![CDATA[Offshoring]]></category>
		<category><![CDATA[Research Request Review Process]]></category>
		<category><![CDATA[The Skill Level of the Outsourced Staff]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=1245</guid>
		<description><![CDATA[.
.
Key Success Factors In The Outsourcing Industry
 .
.
Before trying to understand what drives BPO (Business Process Outsourcing)/ KPO (Knowledge Process Outsourcing)/ BKO (Business Knowledge Outsourcing) jobs to India, and what are the opportunities and threats in the offering for India, we have to first understand the key factors that lead a business to be outsourced [...]]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Biological Neural Networks</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/bi/neural-network/biological-neural-networks/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/bi/neural-network/biological-neural-networks/#comments</comments>
		<pubDate>Fri, 15 Jan 2010 17:30:35 +0000</pubDate>
		<dc:creator>Mohit Sewak</dc:creator>
				<category><![CDATA[Business Intelliegence]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[ANN]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Artificial Neural Networks]]></category>
		<category><![CDATA[axon]]></category>
		<category><![CDATA[Biological Neural Networks]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[dendrite]]></category>
		<category><![CDATA[dendrites]]></category>
		<category><![CDATA[Genetic Algorithms]]></category>
		<category><![CDATA[post-synaptic neuron]]></category>
		<category><![CDATA[pre-synaptic neuron]]></category>
		<category><![CDATA[synapses]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=525</guid>
		<description><![CDATA[.
.
Neural Networks
.
Our brain consists of approximately 1011 neurons, in a densely connected and functionally related in a peripheral nervous system. These neurons are biological cells which get energized by the reaction of chemical ions, which generates an electrical signal which then propagates the neural network. These neural networks are nothing but a network of all [...]]]></description>
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		<slash:comments>5</slash:comments>
		</item>
		<item>
		<title>Profiting From Data Mining</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/bi/data-mining/profiting-data-mining/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/bi/data-mining/profiting-data-mining/#comments</comments>
		<pubDate>Mon, 11 Jan 2010 14:10:54 +0000</pubDate>
		<dc:creator>Mohit Sewak</dc:creator>
				<category><![CDATA[Data Mining]]></category>
		<category><![CDATA[Marketing]]></category>
		<category><![CDATA[Apeoplens]]></category>
		<category><![CDATA[Bullock Taguchi]]></category>
		<category><![CDATA[Bullock Taguchimethod of data mining]]></category>
		<category><![CDATA[Bullocks]]></category>
		<category><![CDATA[CA]]></category>
		<category><![CDATA[Customer churn]]></category>
		<category><![CDATA[Data mining is 1.85 bn$ industry]]></category>
		<category><![CDATA[Direct marketing]]></category>
		<category><![CDATA[Fraud detection]]></category>
		<category><![CDATA[IBM]]></category>
		<category><![CDATA[Interactive marketing]]></category>
		<category><![CDATA[Microsoft]]></category>
		<category><![CDATA[Oracle]]></category>
		<category><![CDATA[Profiting From Data Mining]]></category>
		<category><![CDATA[Richard Mouser]]></category>
		<category><![CDATA[SAS]]></category>
		<category><![CDATA[trend Analysis]]></category>
		<category><![CDATA[Uses of Data Mining]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=1055</guid>
		<description><![CDATA[
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Profiting From Data Mining



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Richard Mouser was spending $85 per sale on ad costs for his website. After using Bullock’s Taguchi method of data mining where he tested headers, subheaders, site copy and sent test pages to customers, he was able to reduce his advertising cost to $8 per sale and sales numbers have gone up [...]]]></description>
		<wfw:commentRss>http://mohit.sewak.in/analytics-and-consulting/bi/data-mining/profiting-data-mining/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
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		<item>
		<title>Diamonds in Data Mines: Data Mining Digs In</title>
		<link>http://mohit.sewak.in/marketing/database-marketing/diamonds-in-data-mines/</link>
		<comments>http://mohit.sewak.in/marketing/database-marketing/diamonds-in-data-mines/#comments</comments>
		<pubDate>Sat, 09 Jan 2010 19:29:56 +0000</pubDate>
		<dc:creator>Mohit Sewak</dc:creator>
				<category><![CDATA[CRM]]></category>
		<category><![CDATA[Data Mining]]></category>
		<category><![CDATA[Database Marketing]]></category>
		<category><![CDATA[Marketing]]></category>
		<category><![CDATA[Alexa internet]]></category>
		<category><![CDATA[Amazon]]></category>
		<category><![CDATA[Building strong customer relations]]></category>
		<category><![CDATA[Clustering customers]]></category>
		<category><![CDATA[Data Mining Digs In]]></category>
		<category><![CDATA[Diamonds in Data Mines]]></category>
		<category><![CDATA[Fingerhut]]></category>
		<category><![CDATA[Hyperparallel]]></category>
		<category><![CDATA[Preparing data for data mining]]></category>
		<category><![CDATA[Success Stories with Data Mining]]></category>
		<category><![CDATA[Yahoo]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=1053</guid>
		<description><![CDATA[
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Diamonds in Data Mines
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Data Mining Digs In


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Recently Farmer&#8217;s Insurance group with the help of IBM pulled 2 million policies from its database to run a pilot test using IBM’s Decision Edge software.
They found that apart from young 20 something single guys, married boomers with kids also bought sports cars. They paid same insurance surcharges but [...]]]></description>
		<wfw:commentRss>http://mohit.sewak.in/marketing/database-marketing/diamonds-in-data-mines/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<item>
		<title>Perception Mapping of Indian Car Industry</title>
		<link>http://mohit.sewak.in/marketing/branding/perception-mapping-of-indian-car-industry/</link>
		<comments>http://mohit.sewak.in/marketing/branding/perception-mapping-of-indian-car-industry/#comments</comments>
		<pubDate>Fri, 08 Jan 2010 16:15:36 +0000</pubDate>
		<dc:creator>Mohit Sewak</dc:creator>
				<category><![CDATA[Branding]]></category>
		<category><![CDATA[Correspondence Analysis]]></category>
		<category><![CDATA[Marketing]]></category>
		<category><![CDATA[Primary Research]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[2 Dimension Mapping]]></category>
		<category><![CDATA[After Sales Service]]></category>
		<category><![CDATA[Attribute Mapping]]></category>
		<category><![CDATA[Brand Mapping]]></category>
		<category><![CDATA[Brand Perception]]></category>
		<category><![CDATA[Car Comfort]]></category>
		<category><![CDATA[Car Mileage]]></category>
		<category><![CDATA[Car Safety]]></category>
		<category><![CDATA[Consumer Perception]]></category>
		<category><![CDATA[Dimension Reduction]]></category>
		<category><![CDATA[FORD]]></category>
		<category><![CDATA[hyundai]]></category>
		<category><![CDATA[India Car Industry]]></category>
		<category><![CDATA[maruti]]></category>
		<category><![CDATA[Multiple Correspondence Analysis]]></category>
		<category><![CDATA[Perceptio Mapping]]></category>
		<category><![CDATA[SPSS]]></category>
		<category><![CDATA[TATA]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=261</guid>
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The Changing Consumer Perception
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India is poised to become a major Auto hub in the near future. Indian car industry is changing rapidly, so is the mindset of Indian Consumers. We, at the Great Lakes Institute of Management, took an initiative to find out that whether the changing ground realities have also changed the India Auto Consumer&#8217;s mindset vis-a-vis [...]]]></description>
		<wfw:commentRss>http://mohit.sewak.in/marketing/branding/perception-mapping-of-indian-car-industry/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
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		<item>
		<title>The Most Sought After Attribute in a Car</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/business-analytics/important-car-attributes/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/business-analytics/important-car-attributes/#comments</comments>
		<pubDate>Mon, 04 Jan 2010 21:49:29 +0000</pubDate>
		<dc:creator>Mohit Sewak</dc:creator>
				<category><![CDATA[Analytics and Consulting]]></category>
		<category><![CDATA[Business Analytics]]></category>
		<category><![CDATA[Conjoint Analysis]]></category>
		<category><![CDATA[Primary Research]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[Attribute in a Car]]></category>
		<category><![CDATA[Environmental Friendliness]]></category>
		<category><![CDATA[Image]]></category>
		<category><![CDATA[Price]]></category>
		<category><![CDATA[Quality]]></category>
		<category><![CDATA[Relative Importance of Attribute of a Car]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=416</guid>
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Relative Importance of Attribute of a Car
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Various attributes goes behind selecting a car for purchase. Even more of these attributes goes in a consumers mind before evaluating the supremacy of a car over another.
After good literature review, and discussion with experts, we came to the conclusion that the most sought after attributes for a car [...]]]></description>
		<wfw:commentRss>http://mohit.sewak.in/analytics-and-consulting/business-analytics/important-car-attributes/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<item>
		<title>Identifying Revolutionary MegaTrends</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/megatrends-future-technologies/identifying-megatrends/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/megatrends-future-technologies/identifying-megatrends/#comments</comments>
		<pubDate>Wed, 30 Dec 2009 19:15:51 +0000</pubDate>
		<dc:creator>Mohit Sewak</dc:creator>
				<category><![CDATA[Megatrends]]></category>
		<category><![CDATA[Clayton Christensen]]></category>
		<category><![CDATA[disruptive innovation]]></category>
		<category><![CDATA[Disruptive Technology]]></category>
		<category><![CDATA[Fire-Fly]]></category>
		<category><![CDATA[identifying innovation]]></category>
		<category><![CDATA[Identifying Revolutionary Trends]]></category>
		<category><![CDATA[Innovator's Dilemma]]></category>
		<category><![CDATA[Low Market]]></category>
		<category><![CDATA[New Market]]></category>
		<category><![CDATA[The Innovator's Dilemma]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=1183</guid>
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Identifying Revolutionary MegaTrends
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Clayton Christensen (of Harvard University), did years of research in various industries to find out that ONE thing, or indication that later turns into a revolution in any industry.
Clayton studied the Disk Drive/ Storage industry (as he believed this industry to be the Fire-Fly industry to study innovation), and closely monitored all [...]]]></description>
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		<slash:comments>0</slash:comments>
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		<item>
		<title>Capabilities of Neural Networks</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/bi/neural-network/capabilities-neural-networks/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/bi/neural-network/capabilities-neural-networks/#comments</comments>
		<pubDate>Fri, 20 Nov 2009 19:19:17 +0000</pubDate>
		<dc:creator>Mohit Sewak</dc:creator>
				<category><![CDATA[Business Intelliegence]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[ANN]]></category>
		<category><![CDATA[Artificial Neural Networks]]></category>
		<category><![CDATA[axon]]></category>
		<category><![CDATA[Biological Neural Networks]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Chagall]]></category>
		<category><![CDATA[dendrite]]></category>
		<category><![CDATA[dendrites]]></category>
		<category><![CDATA[Genetic Algorithms]]></category>
		<category><![CDATA[post-synaptic neuron]]></category>
		<category><![CDATA[pre-synaptic neuron]]></category>
		<category><![CDATA[synapses]]></category>
		<category><![CDATA[Van Gogh]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=650</guid>
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Power of Biological Neural Networks in Different Species
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Numerous experiments, and researches have been conducted over how we remember, identify and recall things. It has often been seen that once we see something, we are reminded of something else. This concept is widely (although without our knowledge) often being used by advertising and publishing companies to [...]]]></description>
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		<slash:comments>0</slash:comments>
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		<item>
		<title>Today&#8217;s Demon&#8230; Tomorrow&#8217;s Diva&#8230;</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/megatrends-future-technologies/todays-deamon-tomorrows-diva/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/megatrends-future-technologies/todays-deamon-tomorrows-diva/#comments</comments>
		<pubDate>Fri, 06 Nov 2009 18:48:14 +0000</pubDate>
		<dc:creator>Mohit Sewak</dc:creator>
				<category><![CDATA[Megatrends]]></category>
		<category><![CDATA[body art]]></category>
		<category><![CDATA[body stitches]]></category>
		<category><![CDATA[demon]]></category>
		<category><![CDATA[diva]]></category>
		<category><![CDATA[fad]]></category>
		<category><![CDATA[fashion]]></category>
		<category><![CDATA[pain]]></category>
		<category><![CDATA[stitches]]></category>
		<category><![CDATA[today]]></category>
		<category><![CDATA[tomorrow]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=219</guid>
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Gone are the days when the changing of dresses, foot-wears, watches, and accessories could be called fashion, and by renewing/ updating them regularly you could be christened as the most happening upmarket girl/ brat. Today&#8217;s (and predominantly tomorrow&#8217;s) World, would be very authenticity conscious, and changing anything that doesn&#8217;t belongs to you (permanently belonging to [...]]]></description>
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		<slash:comments>0</slash:comments>
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		<item>
		<title>The cool mobiles&#8230; with hot operating systems&#8230;</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/megatrends-future-technologies/the-cool-gadgets-with-hot-technologies/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/megatrends-future-technologies/the-cool-gadgets-with-hot-technologies/#comments</comments>
		<pubDate>Fri, 06 Nov 2009 18:46:22 +0000</pubDate>
		<dc:creator>Mohit Sewak</dc:creator>
				<category><![CDATA[Megatrends]]></category>
		<category><![CDATA[Android]]></category>
		<category><![CDATA[Eclair 2.0]]></category>
		<category><![CDATA[Google]]></category>
		<category><![CDATA[Mobile]]></category>
		<category><![CDATA[Native Touch]]></category>
		<category><![CDATA[Open Handset Alliamce]]></category>
		<category><![CDATA[Smart Phone]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=217</guid>
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Android, the latest Operating System for Mobiles from Google is going to be the next big thing in the world of technology and communication. there are many reasons for me to believe so, but before discussing these reasons, first let us understand the evolution of mobile OS market in brief.
For years altogether no one ever [...]]]></description>
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		<slash:comments>0</slash:comments>
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		<title>Free Space Optics&#8230;.The Future of Communication.</title>
		<link>http://mohit.sewak.in/analytics-and-consulting/megatrends-future-technologies/spacial-technologies-bridging-the-gap-between-imagination-and-reality/</link>
		<comments>http://mohit.sewak.in/analytics-and-consulting/megatrends-future-technologies/spacial-technologies-bridging-the-gap-between-imagination-and-reality/#comments</comments>
		<pubDate>Fri, 06 Nov 2009 18:43:56 +0000</pubDate>
		<dc:creator>Mohit Sewak</dc:creator>
				<category><![CDATA[Megatrends]]></category>
		<category><![CDATA[bandwidth]]></category>
		<category><![CDATA[communication]]></category>
		<category><![CDATA[connectivity]]></category>
		<category><![CDATA[free space optics]]></category>
		<category><![CDATA[high speed]]></category>
		<category><![CDATA[Internet]]></category>
		<category><![CDATA[satellite]]></category>
		<category><![CDATA[space imagery]]></category>
		<category><![CDATA[space technology]]></category>
		<category><![CDATA[wireless]]></category>

		<guid isPermaLink="false">http://mohit.sewak.in/?p=215</guid>
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Use of Spatial Technology for powering Future Connectivity
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Internet connectivity has always been a major factor in changing the economic, business and cultural landscapes around the world. Therefore any significant development on this front, definitely qualifies to be called a Mega-trend for the future.
Because of the internet connectivity bandwith going northwards, and costs going southwards, English [...]]]></description>
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		<slash:comments>0</slash:comments>
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