What makes big data ‘big’ and how does it differ from our traditional understanding of data? The difference is not really in size. In other words, there is no clear demarcation — you can’t say that data which is larger than “x” size becomes big data. Although we have been storing and processing data for…Read More
Is big data always better data? In other words, is it always helpful to have more data? Not necessarily — and here’s why. From the time we first got excited about big data, we were told that the magic lies in the ability to find meaningful insights from large data sets, or data so voluminous…Read More
In recent years, a large number of enterprises planned and implemented projects based on big data analytics with the aim of gaining insights that would further their business objectives. Unfortunately, not all those initiatives succeeded in delivering tangible business value. It’s not surprising that a 2019 survey by NewVantage found that 77% of businesses reported…Read More
In an article published in 2005 entitled, “What is Web 2.0?”, Tim O’Reilly first used the term “Big Data” to refer to a large set of data that is almost impossible to manage and process using traditional business intelligence tools. The use of that term peaked between 2013 and 2015, and even found a place…Read More
It’s not uncommon to hear that big data technology has brought revolutionary changes to the IT industry. But, what exactly defines information as “big data”? While big data is primarily defined by its large volume, there are a few other aspects that qualify information to be defined as “big data.” When we say “big data”…Read More
What is big data analytics? Big data analytics helps users collect and analyze large-sized data sets that have a varied mix of content. This analysis delivers insights into the content through the exploration of data patterns. This data set can include of variety of subjects, from buying preferences of customers to trends setting the markets….Read More
Data analytics has proved to be an effective tool in dealing with a variety of real-world problems and a dependable methodology to make informed business decisions. Continuous advancements in analytics and artificial intelligence are creating intelligent systems that can analyze trends, predict phenomena and even take certain actions that closely resemble what humans would do….Read More
Data analytics projects are often undertaken to achieve a specific objective or find answers to a set of questions. While it is important to have objectives at the start — as they help to define the direction of analysis — serendipity also plays a role in unearthing insights. Businesses today collect huge volumes of data…Read More
Today, establishing a strong and engaging web presence is critical. With so many retailers online, potential buyers have more options than ever. If they’re not impressed by your website, they’re going to take their business elsewhere. Here at Treehouse Technology Group (TTG), we understand that a digital facelift is fundamental to every company’s success in…Read More
Predictive data analytic techniques are a powerful resource to use, helping businesses forecast future outcomes. Predictive analytical methods are applied in order to find the most probable answer to specific questions such as, “how long will this machine keep working before it breaks down?” or “how likely is it that this borrower will default on…Read More