Arindra Mishra

Dr. Arindra N. Mishra has written articles and provided editorial services for this blog. He has contributed to Management Weekly by submitting his articles from time to time. He did his doctoral fellowship program in business management at Xavier School of Management(XLRI), Jamshedpur. Prior to that, he worked with multiple firms in business analytics roles. He has worked in firms like IBM, Cartesian Consulting & Hyundai India. Dr. Arindra N Mishra is also an active researcher in the area of business management and he has published research articles in top-tier management journals.
Machine Learning Buzzwords

Machine Learning Buzzwords

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It has become the topic of discussion in boardrooms. This necessitates most contemporary managers to know about basic machine learning buzzwords.

Examples of central route of persuasion

Central Route of Persuasion Ads and Commercials

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Persuasion is the bread and butter of marketing managers. One of the ways of convincing your customer is by using the central route of persuasion. It is quite useful when it comes to changing people’s attitudes and adopting new products. We shall look at this proven method to design ads and see how they work.

Pardot Pricing and comparison

Pardot Pricing & Comparison for All Plans

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Pardot is a lead management tool by Salesforce. Pardot pricing for its plan varies from USD 1250 per month to USD 15,000 per month. The plans are based upon the features available in the dashboard.  Major differences across all Pardot pricing tiers  All plans except the Premium one has a contact limit of 10,000. On the other …

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Pardot Lead Scoring

Pardot Lead Scoring: An easy guide

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Here we take a brief look at what Pardot offers in its Pardot lead scoring system. We shall also take a look at the pros and cons of this lead management system.

Eco computing

Eco Computing – 3 simple methods

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Eco computing is about reducing the impact of computing on the environment. However, are we not saving the environment already by replacing physical services with digital? Why do we really need eco computing in the first place? Also, how can organizations benefit by switching to eco computing?