Now more than ever, businesses in this globally connected world are turning to Unified Communications (UC) and Unified Communications as a Service (UCaaS) solutions to enable seamless collaboration.
10 min read
4 min read
You might have plenty of data, but what are you doing with this data? Moreover, what is the data doing for you and your enterprise?
Data and analytics ultimately the drive spending decisions of future cloud, network, mobility and the overall IT budgets — so it’s imperative your enterprise is up-to-date on the latest capabilities. When used right, business intelligence (BI) can reveal your technology infrastructure’s pain points, illuminate where expenses are occurring and where they might be reduced, support benchmarking, and provide predictive and prescriptive analytics. BI can empower organizations to gain insight into new opportunities, assess demand and measure suitability of different services.
But what BI developments really have a measurable impact in streamlining and improving everyday processes — while also reducing costs? We narrowed it down to five of the most game-changing trends in BI for IT Finance teams.
Dynamic and Visual Reporting
With the ultra-modern capabilities offered by some BI platforms, digesting, analyzing and sharing relevant, real-time business insights is becoming easier and more intuitive. Today’s dynamic dashboard interfaces are able to simplify and display enormous amounts of data with applicable and responsive visual aids, such as:
• At-a-glance, easy-to-digest charts and graphs presenting a quick overview of usage and account activity.
• Map-based visualizations that allow enterprises to keep tabs on services spanning cities and other geographies. If a company is undergoing a major re-organization, this perspective can help your enterprise see where services are still active — and eliminate unnecessary recurring expenses.
• Calendar visualizations that offer visibility in terms of deadlines, contract renewals, invoicing and delivery dates.
Dashboards are increasingly designed with a self-service mentality, allowing users to build reports to display the data exactly how they want. IT teams can adjust the dashboard to fit their preferences — aesthetically and functionally. Personalization saves time, as users won’t need to sift through piles of irrelevant data to extract the information they need.
Without self-service capabilities, users need to export raw data into Excel spreadsheets so they can manually manipulate the data and distribute it to others. This a time-consuming, non-reproductible process that slows decision-making. Further, some BI vendors charge additional fees to create specified reports time-consuming and non-reproductible, slowing down decision-making.