Once dominated by a handful of providers, the analytics market has become a crowded field in the last few years. But despite the diversity of solutions now available to them, for many users the task of evaluating their options often leads to more confusion than clarity.
However, as Nucleus Research reports in their 2016 Analytics Technology Value Matrix, customers still determine a provider’s value according to two simple criteria: usability and functionality. They want their solution to work well, and they want it to be easy to use.
Based on these two determinants, the Nucleus team created a “value matrix” classifying the market’s key providers into four categories:
In evaluating each vendor, Nucleus looked at three critical components: embedded analytics capabilities, cloud deployments, and AI/machine learning.
I’m pleased to report that in Nucleus’ evaluation, GoodData ranks among the Leaders (high usability, high functionality):
GoodData continues to be a leader in the analytics market, differentiating themselves by helping customers turn their data into a profit center. The company provides customers with highly usable analytics solutions, as well as a platform and services for organizations looking to monetize their data assets.
For a real-world case study, the Nucleus team reviewed MediGain’s deployment of the platform and confirmed that “GoodData played a key role throughout the entire go-to-market process in helping MediGain capitalize on its data.”
In conclusion, the team predicts that GoodData’s unique capabilities will fuel further growth in visibility and popularity:
GoodData can provide the analytics development and tools along with a Service Data Product team to build a complete GTM framework including market research, product design, pricing and packaging, and product marketing activities for those organizations that want to provide a data product quickly and may not have the internal resources available.
For more details about Nucleus Research’s analysis and criteria, I invite you to download the white paper here.