Insights Room

Data continues to play a transformational role in the pharmaceutical sector.

It is a huge challenge to improve an organization's efficiency when it comes to performance management. Most organizations have a base-level performance management system in the technology and IT sector. For example, setting financial goals and looking into KPIs that elevate their businesses forward. Nevertheless, optimizing KPIs according to their needs can be a challenging task.

Despite being a subcategory of the shopping experience, proximity marketing is constantly and rapidly evolving, especially in the recent years of technological advancements. With an evergrowing availability of data spreading between people and companies, this type of marketing within consumer products can lead to a better understanding of behavior from potential customers.

Artificial intelligence (AI), machine learning (ML), and data science are transforming modern organizations in new ways. 

The Data & Analytics process has a life cycle needed to collect, store, manage, and share data correctly. The cycle includes five interrelated pillars with a symbiotic relationship that allows a company to progress from one pillar to another.

The Five Pillars to Promoting a Data Culture

The world of sales analytics (advanced analytics systems) is populated by vast and well-constructed technology. However, companies are not taking full advantage of this opportunity.

Data & Analytics applications evolve and change to constantly match the needs of businesses and their users. We’re currently seeing a Data Revolution that’s steering us toward a new horizon of Data Warehousing.