Collaboration is one of those terms that comes up again and again in business. Every executive knows that it's important for co-workers to be able to connect and work together. However, there's one area where this process is often overlooked: data analytics.

Cross-company involvement

According to big data expert Florian Douetteau, "no data scientist is an island." In other words, analysis initiatives should include and support idea sharing and constructive criticism among an array of different stakeholders from inside and outside of technologically focused departments. It's also imperative that processes can take place in real time.

"Real-time collaboration is important for teamwork just because you need to be able to see what other people are doing," Douetteau noted. "When you're able to see what someone is doing while they're doing it, you get ideas. You can suggest a better way of doing it; you can point out other [factors] they should consider."

How to support collaboration: No single consensus

In many cases, instituting a spirit of collaboration within analytics processes can be difficult, particularly if the right tools aren't in place. As Yeona Jang, executive vice president for software firm eXplorance, noted, integrating collaboration doesn't involve a single, "one-size-fits-all" strategy – instead, businesses must be able to establish their own recipe driven by internal company culture, financial and human capital availability, execution capacity and overall IT maturity.

Tools to support collaboration

However businesses elect to approach collaboration, it's imperative that they have the right software tools in place to support co-working processes. An advanced, self-service data platform, which puts more control in the hands of users, can provide several advantageous features, including abilities like:

  • Data-quality ratings: This allows other users to rate the overall quality of data sets, helping to inform and guide other users. Higher-quality sets, for instance, can be used again and again for multiple initiatives with unique focuses, and lower-quality sets can be improved upon before being used for analysis. 
  • Stakeholder notifications: This capability helps support real-time collaboration while keeping all cross-departmental stakeholders aware of the project status.
  • Access to data sets and results: A self-service data platform also makes it easier for stakeholders to access data and share their results. Insights that exist in silos aren't as helpful as those that are communicated across the company to institute improvements and change.

To find out more, connect with the experts at Unifi Software today.