Companies of all sizes are looking for faster and easier ways to take advantage of data through analytics and BI. In particular, knowing who your customers are, how they interact with your business, products and services is a modern necessity. In a customer-centric world where data can help improve the overall customer experience and relationships, […]
Photo by Windows on Unsplash It seems like it might be finally happening. Data engineering is finally getting a little bit of the data lime light. Which makes sense. The data being stored and analyzed is not only becoming more voluminous but its speed, complexity and variety are also increasing. Making it difficult to wrangle. With […]
Data is continuing to prove to be a valuable asset for businesses of all sizes. I say that both from the fact that consulting firms like McKinsey have found that in their research companies that are using AI and analytics can attribute 20% of their earnings to it. Similarly, I have been able to consult for […]
Photo by Free To Use Sounds on Unsplash Hiring the right data scientist, or any data professional, remains a difficult task for HR. There are so many different skill sets required to take data from application systems and put them into analytical ones. From there, it takes a whole set of other skills to create machine learning and […]
Healthcare analytics is a multibillion-dollar industry. Having the ability to predict patient readmission, fraud, logistical needs, provider quality and so on provides healthcare providers with opportunities for cost savings and increased efficiency. Even being able to answer simple questions in healthcare with data can provide massive ROI. Our team has seen companies implement very simple analytical […]
Photo by Markus Spiske on Unsplash Python really is everywhere at this point. Although many gatekeepers argue whether a person is really a software developer if they don’t code in a language more difficult than Python, it still is everywhere. It’s used to automate, manage websites, analyze data, and wrangle big data. As data grows, the way we manage it […]
Photo by Kaleidico on Unsplash With companies ramping up their data strategies, a major chunk of small and medium businesses(SMBs) are implementing data analytics. Not only does this make the small businesses more productive, but also smarter. Big data adoption has spiked from 17% to 42% in the span of the last 5 years for businesses of all sizes. This […]
Photo by Martin Adams on Unsplash Introduction Now that organizations are dealing with big data on a day-to-day basis to generate useful insights, we require more efficient software/data development lifecycles. The era of big data calls for some powerful data operation tools which can automate processes and reduce the cycle time of the data analytics for enormous datasets. […]
Photo by imgix on Unsplash Imagine what your organization would accomplish if it had accurate, detailed information regarding the processes, products, market, and customers. Well, this is the age of big data, and it demands organizations to bring data engineers and scientists on the same page to construct efficient and accurate insights to gain a competitive edge. A […]