Blog Category: Big Data
Market Basket Analysis gives retailers the opportunity to find correlations of items in shopping carts in order to find strong correlations. Why might a retailer choose MBA to analyze point-of-sale data? Read on for further details on the benefits of using Market Basket Analysis as a retailer.
What would you say if I told you that your marketing and IT departments need to cozy on up together to achieve your goals? Two areas that were black and white in a traditional world are now gray and fuzzy in a digital one. Smart companies are harnessing the power of a modern data architecture (that’s right - Big Data) to gain insights into their customers’ ideas, behaviors, and actions.
In this article we will discuss the importance of not filtering out data just because it doesn’t look like any other data we have, and how to quickly leverage multiple sources to derive business insights.
Today, data is coming at us faster than ever. As more users interact with more systems, more often, you need a plan for managing this load. Read on to understand out how to be prepared.
Utilizing Apache tools Spark, Livy, and Zeppelin, together, can be very powerful in helping to tackle machine learning and data science.
In this article we will discuss one of the 3 V's of Big Data: Volume.
Jeremiah Evans reviews the 3 V's of Big Data and how you can tackle them one step at a time.
The recent articles by the New York Times and USA Today are inherently valuable for digital marketing. They cite big advertisers dropping out of video buys based on the ads being served on questionable content. This issue brings to light an important issue in digital ad buying and trafficking: programmatic buying as a way of automation efficiencies and how to protect your brand from appearing on an offensive site.
The technology field is home to an unpredictable and ever changing landscape. Something heralded as an “industry game changer” today can be reduced to little more than an afterthought in just a few years’ time. Alternatively, other tech that is brushed aside as nothing more than a novelty item can quickly bloom into a massive business. Since no one can accurately predict what will succeed, and what will fail, it’s important to keep up to date on the new technology.