How can data analytics spread across the business?

In the past several years, one of the main themes in corporate computing has been the consumerization of IT, characterized by increasingly complex demands of employees for access to the most advanced technology out there. This can be seen in enterprise mobility, cloud computing and data analytics endeavors, as companies are increasingly expected to have these assets in place and make them available to employees across departments. 

Now, in the case of big data, this is a highly challenging matter, as so few employees and departments have the knowledge necessary to handle the most advanced analytics solutions on the market. However, leaders are increasingly focused on making this happen, working hard to ensure that their big data investments are not only enjoyed in the C-suite and IT department, but also other areas of the business and all employees involved. 

Consumerized analytics
Smart Data Collective recently published a blog post from analyst Nik Rouda‚Äč, who has been tracking some of the behaviors of leaders with respect to analytics demand and utilization. He pointed out that this push for more ubiquitous use of analytics across the business has been clearly identifiable of late, and that firms are taking interesting approaches to realize these achievements in a shorter period of time. 

Analytics is spreading across departments. Businesses want all employees to be using big data analytics.

Although the selection of the right analytics platform and service is the first step toward making big data accessible to all employees, other matters need to be reconciled to make this a profitable endeavor as well. According to Rouda, the use of dashboards that provide more details specific to the employees viewing them is one common demand that is beginning to be met by the market, while other leaders are more focused on acquiring solutions that maximize collaboration. 

Perhaps not that surprisingly given the current trends in the big data industry, the author also stated that speed is a major component in this conversation, as companies are increasingly looking for tools that yield fast data on all levels. So, considering the challenges involved in both making analytics accessible for all employees and establishing fast data to inform decision-making in real-time, there is a lot of work to be done by both vendors and users. 

"If IT does not understand big data, how will other employees be expected to?"

The path forward
Simply put, big data is one of the most complex assets present in the IT arena, and so few companies actually have in-house employees who know how to optimize the solutions and maintain them properly. If the IT department, or leaders in the executive level, do not understand big data perfectly, how could they expect to achieve speedy and ubiquitous use of the tools among other employees? 

The best path forward might be to leverage a data visualization solution provided by an expert vendor, as this will simultaneously speed up the time it takes to get the project off the ground and allow use among all employees. Data visualization tools effectively make sense of what would otherwise be complex sets of information in a faster fashion.