Marketing Data Preparation software
Updated: January 19, 2020
2020. Funnel raises $47M for its marketing data preparation software
Funnel, the Stockholm-based startup that offers technology to help businesses prepare — or make “business-ready” — their marketing data for better reporting and analysis, has closed $47 million in Series B funding. Funnel set out to let marketers automate their online marketing data from multiple platforms in real time, so that they can more accurately analyse their online marketing spend. Initially that included visualising the marketing data, but now the company has decided to focus solely on collecting the data from all of the disparate marketing channels, and cleaning it up and normalizing it so that it can be imported into popular business intelligence tools to be analysed.
2018. Tableau gets a new data preparation tool
Data analytics platform Tableau launched a new data preparation tool. The general idea here is to give users a visual way to shape and clean their data, something that’s especially important as businesses now often pull in data from a variety of sources. Tableau Prep can automate some of this, but the most important aspect of the service is that it gives users a visual interface for creating these kind of workflows. Prep includes support for all the standard Tableau data connectors and lets users perform calculations, too. Also the company added server plan for businesses that want to deploy the service on-premises or on a cloud platform, and a fully hosted online plan. Prices for these range from $35 to $70 per user and month.
2015. Big Data analytics platform Platfora scores $30M
Platfora, a company that helps customers process and make sense of big data, announced a $30 million investment today. Platfora has been designed to work with big data (petabyte or larger) on a variety of platforms including Amazon Web Services, Microsoft Azure and Hadoop. It helps business analysts make sense of a variety of data sets without the help of data scientists or IT. At a basic level Platfora does three things: it prepares the data for analysis. It then processes the data in an in-memory database and perhaps most importantly it provides a visualization layer for business analysts and others to view the data in meaningful ways. Once IT has set up the platform, users can get to work exploring. The data prep and processing happens in the background as the analyst points to different sources to build a set of data they wish to work with. Once that process is complete, they can view the data in various ways in charts and graphs as you would expect.