Together with you, we create an effective Data Strategy to help you see the value of your data.
Analytics Platform Automation
We help you select the right data architecture to make your data journey future-proof.
Data Driven Culture
We help create a data driven culture by identifying the right people for the right roles. And getting everyone on board for the journey.
How we get to the bottom of your data lake
We start by considering if your business goals are aligned with your data and analytics strategy.
In order to achieve this, we use a Data Analytics and AI maturity evaluation model
that consists of the following steps:
What is the enterprise business strategy for data science?
What roles are defined and developed within the enterprise to support data science activities?
How do data scientists collaborate with others in the enterprise to evolve and hand off data science work products?
What is the enterprise approach or methodology to data science projects?
How easily can average business users learn about enterprise data resources? What about Data Scientist – do they have all required data?
How do data analysts and data scientists request and access data? How is data accessed, controlled, managed, and monitored?
How well do the tools used for analytics and data science scale and perform for data exploration, preparation, modeling, scoring, deployment, and collaboration?
How are data science assets managed and controlled?
What tools, including open source, are used within the enterprise for data science objectives? Are they adequate and in line with your business goals or are they obsolete?
How easily can data science work products be placed into production to meet timely business objectives? What obstacles exist in the way of unlocking their full potential?