The value of data and analytics extends beyond the web and app space—incorporating data analysis into other aspects of business will be one of the primary competitive differentiators in the analytics world of 2018.
Many organizations are already on the trajectory to org-wide data analysis. By gathering and analyzing data from across sales, marketing, supply chain, merchandising, and customer service disciplines, business leaders hope to initiate informed business decisions that incite action, promote growth and increase their bottom lines.
Businesses are quickly discovering, however, how difficult it is to scale their analytical efforts due to the already heavy load on analysts’ shoulders.
Data analysts spend a lot of time collecting, analyzing and presenting data for their organizations. But now they also need to continually learn how to use new analytics tools that are becoming more and more sophisticated with each iteration.
New analytics tools are important for data collection and analysis. But the learning curve hasn’t gone away.
What’s the best way for companies to respond to this issue? Human ingenuity and agility in the world of data analytics is what will make the biggest impact on bloated data analysis.
Analytics strategy in 2018 must become even more focused on an analyst’s ability to quickly adapt to new technologies and techniques for building out holistic insights. They will need to embrace agility in all aspects of analytical tasks and processes to keep up with the increasing demands of their work.
One way for analysts to become more agile is to break different types of analytical work down into separate components—what Mike Harmanos, Marketing Analyst for Yamaha Corporation of America, dubs “component-ability.”
Harmanos recently said, “Component-ability is breaking analytics tasks, processes, and relationships with humans into manageable components, and maximizing your abilities to reach goals.”
On November 9th, at this year’s Analytics Summit, Harmanos will present, “Agility and Component-Ability in Analytics in 2018,” where he will discuss how analysts can better practice agility and stay ahead of their workloads in 2018.
Register for the 2017 Analytics Summit to hear Harmanos and 24 other presenters’ insights on the top trends, technology, and techniques to watch for in 2018.
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