Data Science

Businesses need to be very careful when using the terms “Data Science” and “Big Data.” They are more than just buzzwords companies use to sound up-to-date. Data Science refers to a set of computational and mathematical techniques, and Big Data is the raw material that Data Science uses. And, like all processes, Data Science carries […]

Businesses, even relatively small ones, generate massive amounts of data through their normal daily processes, including customer demographic data, customer interactions, sales information, logistical and shipping information, product information, and internal employee and communication information. This data can be recorded and organized, and companies can then mine it for insights not only into their customers

Data science takes an asset you already have—data—and draws insights and information from it that can be used to create optimal and more dynamic business strategies. It can help paint a more accurate picture of both who your customers are and what they want from you. Data science is able to recognize and highlight patterns

Whether your company is ready for data science depends on several factors. Many businesses have collected more information than they realize, so engaging an outside consultant to review their position could be useful for almost any business with plans for the future. If nothing else, having an expert provide a clearer understanding of how and

Any business interested in data science should have an expert examine its current situation in terms of data intake and assets, network and IT infrastructure, current trainable staff (or the potential creation of new positions) that could handle data science issues moving forward, and other such considerations. For some businesses, “getting ready” for data science

Data science and Big Data can overlap substantially, but understanding what distinguishes one from the other is important. The general term Big Data refers to the current explosion of data we are experiencing in the digital age, including the gathering and exploitation of large data sets and the ways that data is recorded and stored.

Your business could most likely benefit from input from data scientists, but this does not mean that you need to hire them directly. Some companies (especially tech-focused businesses and those that have undergone a complete digital transformation) have in-house data analysts and departments focused on data science and Big Data. But hiring an outside expert

By applying data science, a business is better able to understand the needs of its customers and its employees. It can identify patterns in customer preferences that it’s never seen before and improve shipping and logistics from top to bottom. As a result, data science allows companies to seize new opportunities for growth and improve

Data science is an emerging field of information science that uses algorithms, Artificial Intelligence, Machine Learning, and other advanced digital tools to examine and extract knowledge and value from enormous sets of both structured and unstructured data, known as Big Data. Structured data is information that is either already organized or can be easily organized,