Data analysts in Sales, Marketing, Operations and Finance must make decisions based on data from a variety of sources and formats. Unfortunately, the process for bringing this wide array of data together is where they often run into issues. In fact, a recent Alteryx survey of more than 200 business and analytics leaders found that more than 90% of respondents cited the lack of data blending capabilities as the primary reason they cannot get the business insight they need in a timely manner.
Our new whitepaper, Faster Insights with Data Blending, outlines the data challenges that analysts in the line of business struggle with to fit their core business objectives. Examples are provided in four key functional areas (Sales, Marketing, Operations, and Finance), illustrated by the different types of data and varieties of internal and external systems that deliver them. We cover topics such as finding the best prospects to buy, how to reduce marketing spend, and ways to understand the financial impact of business decisions on the bottom line. Each of these objectives can require blending a lot of different data including customer behavior data, demographic data, and attitudinal data for marketing purposes, plus point-of-sale data and financial systems data to understand the impact to the bottom line. This whitepaper puts into perspective how organizations can utilize data blending to help alleviate these challenges and deliver faster insights, through customer use case examples of how data blending in Alteryx has helped change their business.
I encourage you to download the whitepaper to see if you are having the same data challenges in your line of business, and learn more about how to overcome them.