Big Data Predictive Program, Analytics Software Tools, Artificial Intelligence
Artificial Intelligence Program, Big Data Predictive Analytics and Software Tools
First of all we need to know something: What is Big Data?
According to Wiki, Big data is “a field that treats ways to analyze, systematically extract information from, or otherwise, deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate.”
A company can use predictive analytic tools to recompile data. This data is used to save time or cut some costs that may appear when they are trying to reach a bigger audience. All of this is possible thanks to artificial intelligence.
Using data for marketing purposes it has been one of the biggest advantages of analytic tools. Marketing analytics uses important business metrics, “such as ROI, marketing attribution, and overall marketing effectiveness”. You can extract analytical results that can provide invaluable assistance in driving your marketing efforts forward.
Predictive analytics has grown rapidly combined with the appearance of big data systems. “Marketing, financial services, and insurance companies have been notable adopters of predictive analytics, as have large search engines and online services providers. Predictive analytics is also commonly used in industries such as healthcare, retail, and manufacturing.”
The creation of predictive tools is related to its fullest with AI, as it is possible thanks to the understanding of machine languages. This language gives us the opportunity to analyze the data extracted from the online world. “AI machine learning makes assumptions, reassesses the model, and reevaluates the data, all without the intervention of a human. This changes everything.”
Most predictive analytic tools came from the evolution of artificial intelligence. This science proved that it is possible to use AI to predict or generalize the behavior of customers from their digital footprints in order to target them with personalized promotions or build customer personas automatically.
The data used by companies are there to save time or cut some cost that may appear when they are trying to reach a bigger audience. Data from the sensors is used to forecast when maintenance and repair work should be done in order to prevent problems.
If you want to know more about what Predictive Analytics’ tools are and how it uses data, fill our contact section and we will send you all the extra information that you need