Analytics
News, events, thought leadership and more.
One of the most significant elements to effective analytics is the ability to incorporate the right data. It is key that data analysts not only incorporate the right data, but also ensure the cleanliness and quality of that data. There have been several reports published that state analysts spend between 60 -80% of their time preparing and getting the data ready for analysis. Many times this doesn’t even account for the amount of time that they wait to get access to the data(if it is possible).
With the expansion of data, and the types of data required by analysts to make critical decisions, especially in areas such as marketing, finance, and operations, getting the right data is now more important that ever. This is where empowering data and business analysts with data blending can make a massive difference. Data blending allows analysts to be in complete control of the data process without having to rely on IT or data specialists for all things data related. It delivers access to ALL relevant data, the ability to cleanse and prepare that data, join multiple types of data, and automate data processing to improve business insights.
For those of you who aren’t familiar with the term “data blending” it is the process of combining data from multiple sources to create an actionable analytic dataset for business decision making (such as retail site selection, or multichannel profiling), or for driving a specific business process (such as packaging data for sale by data aggregators).
We recently published a Definitive Guide to Data Blending that will help organizations with more details on how data blending can empower analysts. Download it today and let us know what you think.
