Data analytics in business play a vital role in decision making. This article focuses on the different types of data analytics – Descriptive, Diagnostic, Predictive, Prescriptive. These types of analytics determine what an organization needs to know, right from what is happening to how the business plans should be. In addition, there is a relationship
Waste recycling companies use data analytics to optimize quality management, procure materials, and optimize supply chain data. They are making a positive impact on the environment by giving back to nature. Besides, they are mobilizing the market forces and leveraging data analytics to build a sustainable future. Quality is an important issue for the recycling
Data is always available in abundance, and it is up to every company to make the best use of it. More and more organizations are realizing this point and becoming data driven. And companies in the mortgage industry are also utilizing data analytics services to determine if a loan should be sanctioned. The loan lenders
Enterprises leverage data capabilities to make smarter decisions, track business performance, and drive accountability. The data analytics market is growing at an impeccable rate, where future business without data would be impossible. Besides, mastering data analytics skills is necessary for effective analytics. However, the journey toward successful data analytics solutions introduces some data analytics challenges.
Covid-19 has impacted the world a lot and data analytics services are helping the world to stand up. But how are we approaching data analytics during this pandemic? How are we handling the data analytics process? Has the data analytics community failed to learn a lesson from this global pandemic? It has been more than
Data & analytics is a top priority for both small and large organizations. Consequently, a strong data & analytics is necessary for enterprises to understand their business better. Most of them move with an aim to study the data and leverage the insights. But the companies are facing the pressure and failing to leverage the
Analyzing big data helps to forecast the business future and resolve issues in multiple directions. It also organizes structured and semi-structured data within and outside the enterprise for multi-systemic purposes. But, how is Big Data and Analytics blending with IT systems? And, how does it deliver the value? Let’s look at this article to know the answers. There has been a large shift in organizations choosing big data analytics services. The extensive implications of big data have been observed by tech giants. Now it is being integrated with IoT/IoS to gain the maximum organizational advantage. This highlights the
Becoming truly data-driven remains a pressing issue for most medical executives. So, what should the executives of healthcare enterprises do to become an analytical nirvana? Read this blog article to know how to make the best use of data analytics for your healthcare organization. A robust data strategy is necessary for businesses to manage their data
Healthcare organizations need an effective care platform to comprehend all the elements involved in the patient care and simplify the overall process. Data plays a vital role in further strengthening the supportive care system. This article shows how data is revolutionizing the digital transformation and why data intelligence is necessary for healthcare enterprises. Where do healthcare organizations stand on the analytics part? An