Why we focus on research and innovation ?
Developments in machine learning and conversational artificial intelligence are challenging the traditional ways that information is retrieved for decision making. Business decisions can be made with machine intelligence, while chat-bots and self-serving analytics platforms have exponentially reduced cycle times of getting insights from data at every level of an organization.
We combine our analytical expertise with creativity and a bold vision to innovate new solutions using everything that the latest advances make possible. Reach out to find out about the latest work in our Factspan Innovation Labs and the revolutionary technologies that we're bringing in to your analytics.
The next generation of business
Here are just a few of our current projects
On-demand actionable insights with conversational artificial intelligence
In a world where we ask voice-activated personal assistants to order our groceries, we're working to bring the same intuitive experience to business decision-makers. Innovation in artifical intelligence allows you to ask questions about your data or your KPIs in natural language, and get real-time answers as if you were having a conversation with your analyst.
saving time with automated quality assurance
We strive to make actionable insights accurate. However, working through analyses to check for accuracy is traditionally a time consuming manual process - one that can often take longer than producing the report itself. To ensure we're using our resouces where they deliver the most value to our clients, we're developing an innovative rule-based QA framework to automate the process without compromising on quality.
Improving data quality with automated cleaning
Accurate analytics and prediction depend on high quality data. As the classic saying goes - "Garbage In, Garbage out." We're currently developing an innovative platform to productize data cleaning, seamlessly reading from the platforms that hold your data and then instantly treating outliers, fill in missing values, and carry out other aspects of data cleaning. As a result, data integrity can be maintained - and increased - with just a few clicks.