{"id":22093,"date":"2024-10-28T17:13:41","date_gmt":"2024-10-28T11:43:41","guid":{"rendered":"http:\/\/www.sachdevajk.in\/?p=22093"},"modified":"2024-10-28T17:13:41","modified_gmt":"2024-10-28T11:43:41","slug":"maruti-suzuki-car","status":"publish","type":"post","link":"http:\/\/www.sachdevajk.in\/?p=22093","title":{"rendered":"Maruti Suzuki Car"},"content":{"rendered":"<p><strong>Market Research Assignment <\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>Author &#8211; Deepak Chhabra \u2013 021330424013, Shubham Dholakia, Mahak Aggarwal\u00a0 <\/strong><\/p>\n<p><strong>FORM &#8211; ITM BUSNIESS SCHOOL<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>Introduction- <\/strong><\/p>\n<p>Maruti Suzuki is the largest automobile manufacturer in India, specializing in small cars. In this assignment we talking about Maruti Suzuki car Features and safety for example- air bag, boot space, fuel efficiency etc<strong>.<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>Objective- <\/strong><\/p>\n<p>To find out leverage the insights gained from the Product results effectively<strong>.<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>Data collection- <\/strong>The data for Maruti Suzuki Car was created\u00a0 google from and taking survey from Hostel, College and Outskirts. Its based on ranking from 1 to 10 . In this data we will give rank to theme on the basis of their performance.<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p>\u00a0<\/p>\n<p><strong>KMO and Bartlett&#8217;s Test-<\/strong><\/p>\n<ol>\n<li><strong>Kaiser-Meyer-Olkin (KMO) Measure of Sampling Adequacy<\/strong>&#8211;\n<ul>\n<li><strong>Value<\/strong>: 0.487<\/li>\n<li><strong>Interpretation<\/strong>: The KMO statistic ranges from 0 to 1, with values closer to 1 indicating that the data is suitable for factor analysis. A value below 0.5 suggests that the sampling may not be adequate. In this case, a KMO of 0.487 indicates that the sample size may not be sufficient for PCA.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<p>\u00a0<\/p>\n<ol start=\"2\">\n<li><strong>\u00a0\u00a0Bartlett&#8217;s Test of Sphericity<\/strong>&#8211;<\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none\">\n<ul>\n<li><strong>Approx. Chi-Square<\/strong>: 43.677<\/li>\n<li><strong>Degrees of Freedom (df)<\/strong>: 45<\/li>\n<li><strong>Significance (Sig.)<\/strong>: 0.528<\/li>\n<li><strong>Interpretation<\/strong>: This test checks whether the correlation matrix is an identity matrix (i.e., variables are uncorrelated). A significant result (p &lt; 0.05) indicates that factor analysis may be appropriate. Here, the p-value of 0.528 suggests that the correlations among the variables are not significant enough, further questioning the suitability of the data for PCA.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p><strong>Component Matrix-<\/strong><\/p>\n<ul>\n<li><strong>Variables<\/strong>: Each feature has a loading on the components, which indicates how much of the variance in the variable is explained by the component.<\/li>\n<li><strong>Interpretation<\/strong>:\n<ul>\n<li>Higher loadings (closer to 1 or -1) indicate a stronger association with the component.<\/li>\n<li>For example, &#8220;Extra boot space&#8221; and &#8220;Features&#8221; load strongly on Component 1 (0.703 and 0.691, respectively), suggesting that these attributes are closely related.<\/li>\n<li>&#8220;Comfort&#8221; has a negative loading (-0.632) on Component 1, indicating an inverse relationship.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>\u00a0<\/p>\n<p><strong>Total Variance Explained Interpretation-<\/strong><\/p>\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li>Component 1 explains 15.585% of the variance, Component 2 explains 13.214%, and so on. The first five components together explain over 62% of the variance, which is a substantial amount, but ideally, you want to see a higher percentage for more robust results.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>Rotated Component Matrix Interpretation-<\/strong><\/p>\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li>After rotation, &#8220;Extra boot space&#8221; and &#8220;Features&#8221; still load highly on Component 1, confirming their importance.<\/li>\n<li>&#8220;Air bags&#8221; and &#8220;Easily modify&#8221; load strongly on Component 2, suggesting they are related.<\/li>\n<li>&#8220;High technology&#8221; and &#8220;Affordable price&#8221; load on Component 3, indicating these features are grouped together.<\/li>\n<li>&#8220;Reliability&#8221; and &#8220;Fuel efficiency&#8221; have lower loadings but are still relevant to Components 4 and 5, respectively.<\/li>\n<li>&#8220;Bright lighting&#8221; has a very high loading (0.921) on Component 5, indicating it is a strong factor in that component.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>\u00a0<\/p>\n<p><strong>Conclusion-<\/strong><\/p>\n<p>The analysis suggests that the dataset may not be ideal for PCA due to the KMO value and Bartlett&#8217;s test results. However, the PCA did extract five components that explain a substantial portion of the variance in the dataset. The rotated component matrix provides a clearer picture of how the various features group together, which can be useful for further analysis or decision-making.<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>ANALYSIS<\/strong><strong>&#8211; <\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<table width=\"441\">\n<tbody>\n<tr>\n<td colspan=\"3\" width=\"440\">\n<p><strong>KMO and Bartlett&#8217;s Test<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"360\">\n<p>Kaiser-Meyer-Olkin Measure of Sampling Adequacy.<\/p>\n<\/td>\n<td width=\"80\">\n<p>.487<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td rowspan=\"3\" width=\"185\">\n<p>Bartlett&#8217;s Test of Sphericity<\/p>\n<\/td>\n<td width=\"175\">\n<p>Approx. Chi-Square<\/p>\n<\/td>\n<td width=\"80\">\n<p>43.677<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"175\">\n<p>df<\/p>\n<\/td>\n<td width=\"80\">\n<p>45<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"175\">\n<p>Sig.<\/p>\n<\/td>\n<td width=\"80\">\n<p>.528<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u00a0<\/p>\n<table width=\"514\">\n<tbody>\n<tr>\n<td colspan=\"6\" width=\"514\">\n<p><strong>Component Matrix<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td rowspan=\"2\" width=\"119\">\n<p>\u00a0<\/p>\n<\/td>\n<td colspan=\"5\" width=\"395\">\n<p>Component<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"79\">\n<p>1<\/p>\n<\/td>\n<td width=\"79\">\n<p>2<\/p>\n<\/td>\n<td width=\"79\">\n<p>3<\/p>\n<\/td>\n<td width=\"79\">\n<p>4<\/p>\n<\/td>\n<td width=\"79\">\n<p>5<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"119\">\n<p>Features<\/p>\n<\/td>\n<td width=\"79\">\n<p>.691<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"119\">\n<p>Extra boot space<\/p>\n<\/td>\n<td width=\"79\">\n<p>.690<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"119\">\n<p>Comfort<\/p>\n<\/td>\n<td width=\"79\">\n<p>-.632<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"119\">\n<p>Air bags<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>.664<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"119\">\n<p>Fuel efficiency<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>.532<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"119\">\n<p>Affordable price<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>.619<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"119\">\n<p>Easily modify<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>.510<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>-.553<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"119\">\n<p>High technology<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>-.524<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"119\">\n<p>Reliability<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"119\">\n<p>Bright lighting<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>.708<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"6\" width=\"514\">\n<p>Extraction Method: Principal Component Analysis.<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"6\" width=\"514\">\n<p>a. 5 components extracted.<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<table width=\"624\">\n<tbody>\n<tr>\n<td colspan=\"7\" width=\"624\">\n<p><strong>Total Variance Explained<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td rowspan=\"2\" width=\"85\">\n<p>Component<\/p>\n<\/td>\n<td colspan=\"3\" width=\"271\">\n<p>Extraction Sums of Squared Loadings<\/p>\n<\/td>\n<td colspan=\"3\" width=\"269\">\n<p>Rotation Sums of Squared Loadings<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"79\">\n<p>Total<\/p>\n<\/td>\n<td width=\"95\">\n<p>% of Variance<\/p>\n<\/td>\n<td width=\"96\">\n<p>Cumulative %<\/p>\n<\/td>\n<td width=\"77\">\n<p>Total<\/p>\n<\/td>\n<td width=\"95\">\n<p>% of Variance<\/p>\n<\/td>\n<td width=\"96\">\n<p>Cumulative %<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"85\">\n<p>1<\/p>\n<\/td>\n<td width=\"79\">\n<p>1.558<\/p>\n<\/td>\n<td width=\"95\">\n<p>15.585<\/p>\n<\/td>\n<td width=\"96\">\n<p>15.585<\/p>\n<\/td>\n<td width=\"77\">\n<p>1.536<\/p>\n<\/td>\n<td width=\"95\">\n<p>15.356<\/p>\n<\/td>\n<td width=\"96\">\n<p>15.356<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"85\">\n<p>2<\/p>\n<\/td>\n<td width=\"79\">\n<p>1.321<\/p>\n<\/td>\n<td width=\"95\">\n<p>13.214<\/p>\n<\/td>\n<td width=\"96\">\n<p>28.799<\/p>\n<\/td>\n<td width=\"77\">\n<p>1.246<\/p>\n<\/td>\n<td width=\"95\">\n<p>12.461<\/p>\n<\/td>\n<td width=\"96\">\n<p>27.816<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"85\">\n<p>3<\/p>\n<\/td>\n<td width=\"79\">\n<p>1.229<\/p>\n<\/td>\n<td width=\"95\">\n<p>12.292<\/p>\n<\/td>\n<td width=\"96\">\n<p>41.091<\/p>\n<\/td>\n<td width=\"77\">\n<p>1.202<\/p>\n<\/td>\n<td width=\"95\">\n<p>12.019<\/p>\n<\/td>\n<td width=\"96\">\n<p>39.836<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"85\">\n<p>4<\/p>\n<\/td>\n<td width=\"79\">\n<p>1.084<\/p>\n<\/td>\n<td width=\"95\">\n<p>10.840<\/p>\n<\/td>\n<td width=\"96\">\n<p>51.931<\/p>\n<\/td>\n<td width=\"77\">\n<p>1.149<\/p>\n<\/td>\n<td width=\"95\">\n<p>11.490<\/p>\n<\/td>\n<td width=\"96\">\n<p>51.326<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"85\">\n<p>5<\/p>\n<\/td>\n<td width=\"79\">\n<p>1.029<\/p>\n<\/td>\n<td width=\"95\">\n<p>10.286<\/p>\n<\/td>\n<td width=\"96\">\n<p>62.217<\/p>\n<\/td>\n<td width=\"77\">\n<p>1.089<\/p>\n<\/td>\n<td width=\"95\">\n<p>10.891<\/p>\n<\/td>\n<td width=\"96\">\n<p>62.217<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"7\" width=\"624\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"7\" width=\"624\">\n<p>Extraction Method: Principal Component Analysis.<\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<table width=\"514\">\n<tbody>\n<tr>\n<td colspan=\"6\" width=\"514\">\n<p><strong>Rotated Component Matrix<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td rowspan=\"2\" width=\"119\">\n<p>\u00a0<\/p>\n<\/td>\n<td colspan=\"5\" width=\"395\">\n<p>Component<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"79\">\n<p>1<\/p>\n<\/td>\n<td width=\"79\">\n<p>2<\/p>\n<\/td>\n<td width=\"79\">\n<p>3<\/p>\n<\/td>\n<td width=\"79\">\n<p>4<\/p>\n<\/td>\n<td width=\"79\">\n<p>5<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"119\">\n<p>Extra boot space<\/p>\n<\/td>\n<td width=\"79\">\n<p>.703<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"119\">\n<p>Features<\/p>\n<\/td>\n<td width=\"79\">\n<p>.667<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"119\">\n<p>Comfort<\/p>\n<\/td>\n<td width=\"79\">\n<p>-.659<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"119\">\n<p>Air bags<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>.787<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"119\">\n<p>Easily modify<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>.640<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"119\">\n<p>High technology<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>.744<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"119\">\n<p>Affordable price<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>.650<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"119\">\n<p>Reliability<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>.764<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"119\">\n<p>Fuel efficiency<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>.522<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"119\">\n<p>Bright lighting<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"79\">\n<p>.921<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"6\" width=\"514\">\n<p>Extraction Method: Principal Component Analysis.<\/p>\n<p>\u00a0Rotation Method: Varimax with Kaiser Normalization.<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"6\" width=\"514\">\n<p>a.\u00a0\u00a0\u00a0\u00a0\u00a0 Rotation converged in 10 iterations.<\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Market Research Assignment \u00a0 Author &#8211; Deepak Chhabra \u2013 021330424013, Shubham Dholakia, Mahak Aggarwal\u00a0 FORM &#8211; ITM BUSNIESS SCHOOL \u00a0 Introduction- Maruti Suzuki is the largest automobile manufacturer in India, specializing in small cars. In this assignment we talking about Maruti Suzuki car Features and safety for example- air bag, boot space, fuel efficiency etc.&hellip; <a class=\"more-link\" href=\"http:\/\/www.sachdevajk.in\/?p=22093\">Continue reading <span class=\"screen-reader-text\">Maruti Suzuki Car<\/span><\/a><\/p>\n","protected":false},"author":139634,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"class_list":["post-22093","post","type-post","status-publish","format-standard","hentry","category-sales-marketing","entry"],"_links":{"self":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/22093","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/users\/139634"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=22093"}],"version-history":[{"count":1,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/22093\/revisions"}],"predecessor-version":[{"id":22094,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/22093\/revisions\/22094"}],"wp:attachment":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=22093"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=22093"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=22093"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}