This is considered to be the most useful technique of analysing data. Pivot tables allow you to obtain relevant data from a large dataset. Let us list down the popular features & functions of Microsoft Excel which are commonly used by business professionals for data analysis in Excel. A comprehensive data analysis will reveal the expected revenue/profits that will be generated from this campaign, enabling him to easily calculate ROI and optimize the marketing budgets accordingly and set benchmarks for each campaign. He will definitely have a basic idea of the number of clicks the ad will generate within a particular timeframe, based on keyword trends, bounce rates on the landing page and the number of leads that will be generated from those clicks. Let us cite an instance: a marketing manager is planning for a paid campaign on Google.
Be it their budget allocations, target audience, geography. How does Data Analysis help in Sales & Marketing?ĭata Analysis will provide deeper insights which are used to optimize marketing campaigns. In this article, we will see just how effective Excel is for comprehensive data analysis.
Thus various sheets need to be downloaded from each software and consolidated in Excel for data analysis. However, most of these tools are not inter-compatible, most offering CSV or Excel file export options. Decision-makers, thus need to consolidate all of these data silos at one place and then analyze the data for a complete understanding of the business across various verticals. Modern-day businesses tend to utilize various tools and platforms for advertising, sales, customer support which create individual data silos. Excel features like charts, pivot tables, what-if analysis, conditional formatting, sorts & filters are popularly utilized by data analysts. Microsoft Excel is widely used by businesses for regular data analysis.