At ArtiSoft we are passionate about building trusting and lasting relationships with our clients. We provide expertise and solutions that make deployments of analytic workflows easy, portable and scalable.

We are a tightly knit group of professionals with extensive experience in healthcare technology and a passion for optimizing business processes and analytics models.

At ArtiSoft we are passionate about building technology to unlock your creative analytic potential by taking an integrated approach to Analytic Solutions.

Our experience shows that many companies struggle with managing the full lifecycle of their Analytic Solutions. As an example, the required tasks for delivering Analytic Solutions includes at minimum:

  • Elaborating a common data model (descriptive analytics),
  • Prescribing the required data features with their definition and rules (prescriptive analytics), and
  • Incorporating the predicted features resulting from the analytic model back into the domain model (predictive analytics).

These tasks must be coordinated between the Data Engineer and the Data Scientist and create a gap between the roles. Analytic models are becoming more sophisticated and need to rely on all three types of analytics involved. This widens the gap even further. Due to the recent successes of AI, most tooling has focused on simplifying the predictive analytics workflow rather than on a holistic approach. The importance of prescriptive analytics in Analytic Solutions was pointed out by Forbes in “Why The Future Of Data Analytics Is Prescriptive Analytics”.

Analytic_Life_Cycle

At ArtiSoft we are passionate about building technology to unlock your creative analytic potential by taking an integrated approach to Analytic Solutions. We believe that feature engineering is key to making you more productive. A common data model and definitions for data features using a no-code approach reduces or eliminates the gap between those involved in elaborating your Analytic Solutions.

We aim to provide consulting expertise and to build open-source software, hence creating more Analytic Solutions, while writing less code.