In our previous 3 blogs we wrote about how, once the data scientist has obtained the data, some further challenges exist in the route from the data to the extraction of insight. We also mentioned that recent algorithmic advances, such as XGBoost and Random Forests, produce very good AI/ML models, using at the core the… Continue reading BINNING
In last week’s blog, we discussed how being well organised on the collection, storage and data extraction will benefit the journey towards becoming a data driven company. Once the data has been made available to the data scientist, the next step in the process is for them to extract relevant insights from the data,… Continue reading THE GROWING IMPORTANCE OF THE USE OF DATA SCIENCE [3-3]
In last week’s blog, we highlighted that creating a data driven environment through mutual understanding of each other’s field of activity, is an important catalyst to start reaping the benefits from the data held by your organisation or institution. Such a culture of understanding and cooperation between the domain experts/business managers, and the data… Continue reading THE GROWING IMPORTANCE OF THE USE OF DATA SCIENCE [2-3]
It is no big secret that data, data science, AI and ML are continuously entering our daily lives. According to a number of leading research companies and institutions, data science is the key enabler of digital transformations, and further states that by 2022, as much as 90% of corporate strategies will explicitly mention information as… Continue reading THE GROWING IMPORTANCE OF THE USE OF DATA SCIENCE [1-3]
In this blog we describe the importance of value of data for the business user through the course of time. In general the business user is interested in information that will help him to optimize his business. Questions that arise are: What happened? : what to do with data from the past Why did it… Continue reading TRUE BUSINESS IMPACT OF DATA SCIENCE: FROM HINDSIGHT TO FORESIGHT
We are very proud to present our new Data Discovery Tool. QuantDisqovery is a SaaS Tool for feature engineering for predictive or explanatory modeling QuantDisqovery is an easy to use, second level ‘feature engineering’ software for predictive or explanatory model development. It is designed to provide an effective and efficient solution to an important component in the development of… Continue reading Enjoy our new software tool!