Although the drug market access profile has been evolving for several years now, the analytics that help these profiles do their job has not evolved in the same way as the analytics to cover commercial excellence or sales force roles.
Manufacturing is a process involved in just about every industry – from consumer-packaged goods to pharmaceuticals. With such widespread applications and meticulous practices, how are businesses effectively keeping track of their data?
Labor shortages are plaguing almost every industry as of late. Employing data-driven insights strategies could help your business take proactive measures to protect against challenging business outcomes associated with short staffing.
Now more than ever, businesses need the right tools and partners to enable them to grow while also remaining lean. Is your organization’s data strategy up to the task?
Today’s retailers are struggling to cope with a variety of hardships including inflation, preparing for a recession, and learning to strategically manage their inventory.
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.
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.
Optimal supply chain management depends on accurate analytics that enables companies to predict product demand and minimize risks arising from outside factors.
Planning and management control must be continuous activities over time, significantly if their effectiveness and performance can be increased. This often happens when using advanced analytics and the innovative tools connected to them.
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.
One of the key elements of the data life cycle is people. Defining roles and responsibilities for data management is essential to executing a data strategy.
Data & Analytics technology is advancing at a breakneck pace, impacting businesses in many ways like all ever-changing markets. From democratizing technologies, to developing innovations around the cloud, new AI capabilities, and much more; several trends are gaining traction in the market.
In the Data & Analytics world, Cloud-based data warehousing has begun to take hold as a leading practice for long-term data management success. However, organizations are finding it arduous to properly emerge ahead of the curve on this front.
Labor shortages are plaguing almost every industry as of late. Employing data-driven insights strategies could help your business take proactive measures to protect against challenging business outcomes associated with short staffing.
Although the drug market access profile has been evolving for several years now, the analytics that help these profiles do their job has not evolved in the same way as the analytics to cover commercial excellence or sales force roles.
