Analytics Connectors help senior business leaders understand both the potential and challenges of data science, help data science leaders understand the top problems facing the business, and establish a portfolio of data science projects that aligns with business needs.
A relatively new class of expert, (Analytics Connectors), can play a role in identifying roadblocks. These people bridge the data engineers and scientists from the technical realm with the people from the business realm—marketing, supply chain, manufacturing, risk personnel, and so on. Analytics Connectors help ensure that the AI applications developed address business needs and that adoption goes smoothly.
Analytics Connectors help ensure that the deep insights generated through sophisticated analytics translate into impact at scale in an organization.
Analytics Connectors translate business problems into data science projects and lead the effort to quantify the various risks and rewards to drive and prioritize these projects within the business.
Companies recognize that success with AI and analytics requires not just data scientists but also entire cross-functional, agile teams that include data engineers, data architects, data-visualization experts, and—perhaps most important—Analytics Translators (Analytics Connectors).
In the face of competitive pressure, companies cannot wait to work with analytics on a large scale. (Analytics Connectors) can help businesses climb the analytics learning curve quickly and roll out more use cases than they might otherwise.