More than 80% of respondents expect their data analytics tools to be extremely important to them in the next two years, and if you’re in that category, keep reading.
Expect Huge Waves
Modern analytics provides far greater speed, ease of use, scalability, and other important capabilities than legacy solutions. Self-service platforms help analysts and managers analyze data with greater ease and sophistication, make better decisions, and even lower related costs. Could your organization catch some revolutionary waves?
Totally (insert best surfer’s voice here). Analytics software allows users to leverage data for business decisions that lead to better customer experience, more product and service innovation, optimized business processes, and ultimately, competitive diﬀerentiation. Jesse Luck at Southwest Airlines, for instance, reports moving from a reactive maintenance program to a predictive maintenance program using self-service analytics. AAA uses self-service analytics to understand what’s going on with members, processes, and industry trends.
It's an issue if you miss an issue.
Get each new release of INPUT before the rest.
Quick Check: Where Do You Match Up?
Read through each section and tally up how many of these points you find yourself relating to on a daily basis.
Section 1: Wading in the Shallow End of Spreadsheets + Manual Reporting
Manually poring over spreadsheets, databases, and printed reports
Performing rudimentary data manipulation and reporting using solutions that weren’t built to access multiple data sources
Sharing reports via email
Some companies use analytics software that isn’t able to provide true self-service and thus can only be accessed by a few. Users ﬁnd themselves relying on a virtual army of data specialists and data scientists, often working under the auspices of a centralized analytics group, to prepare, blend, and analyze data — or even to do the actual reporting of what they believe are the key insights. According to the IDC info brief "The State of Data Science and Analytics,” workers are spending, on average, seven hours per week manually updating formulas, pivot tables, and cell and sheet references.