Systems | Development | Analytics | API | Testing

New report from Harvard Business Review demonstrates why businesses must invest in self-service analytics

In 2020, ThoughtSpot and Harvard Business Review Analytic Services teamed up on original research demonstrating the power of the new decision-makers — employees on the frontlines of your business who interact with outside customers, partners, and vendors on a daily basis. Through our research, we found that 87% of leaders said their organization will be more successful when frontline workers are empowered to make important decisions in the moment. Why?

Making Smarter Decisions with DataScience - The upGrad Way

A large amount of data is generated daily. It is very critical to understand how this ocean of information could be put to the best use. Data Science has helped organizations build differentiators using all these data points, thereby delivering a personalized experience. In the ed-tech space alone, there could be several use-cases starting from helping learners make the right choice with regards to their career decisions, guiding them through their learning journey, and finally connecting them with the most suitable career opportunities.

Getting travelers the right information, right on time

As every traveler knows, even the best-laid plans sometimes go astray. Stuff happens. Trains are delayed. Storms cause outages. People forget their bags. A special event creates long lines. Transportation providers can’t take the uncertainty out of travel or make the world operate precisely on schedule — particularly during a global pandemic.

Why PII Pseudonymization is Crucial for Data Security

Data security is an important priority for every organization that handles customer or user data, especially those that fall under data privacy and protection laws such as the EU’s General Data Protection Regulation (GDPR). Large volumes of personal data flow in and out of companies and their systems every day, and the threat of data breaches looms over these operations. How can organizations use their data to power critical operations without running afoul of regulations or privacy concerns?