8 Major Challenges faced by Data ScientistsOrganizations across the globe are looking to organize, process and unlock the value of the torrential amounts of data they generate and transform them into actionable and high value business insights. Hence, hiring data scientists - highly skilled professional data science experts, has become super critical. Today, there is
Data Storytelling: What It Is And Why Data Leaders Should Adopt ItTraditionally data scientists have used visually-appealing dashboards and visualizations to communicate their findings to business executives. But today many have realized that it is only by wrapping these visual artifacts into a powerful data story and narrative that they can influence business stakeholders to
7 Major Data Science Use Cases in SalesEnterprises are embracing data science and analytics across various functions to leverage data to reduce costs, improve efficiency and drive revenue. With respect to sales, there are numerous use cases where data analytics can be applied. And many more use cases are fast emerging.According to a survey by McKinsey
Why Synthetic Data Is Key For Your AI ProjectIntroductionWithout abundant data captured from diverse data streams by means of products/services, it can be difficult for companies to create a conducive environment for data scientists to train their machine learning algorithms. While giants like Google and Amazon don’t face issues when it comes to gathering data,
The Importance And Benefits Of Ensuring Data QualityIn 2017, The Economist reported that data is the oil of the digital era and has dethroned oil as the most valuable resource in the world. But unlike oil, extracting, maneuvering, filtering, refining and storing the continuous stream of data from various internal and external sources is a herculean task.