Predictive Analysis

General Considerations for Algo Trading tools:

• Choose based on:
  • Programming proficiency.
  • Desired asset class.
  • Budget and trading frequency.
• Free tools for beginners: TradingView (free plan), Alpaca.

• Professional-grade tools: NinjaTrader, Interactive Brokers, QuantConnect

  
  Here’s a summarized comparison table of algorithmic trading tools 

Even though we are not always aware of it, Data visualization is influencing our everyday life more and more. Our brains are made to easily process visual data, which we cannot say for complicated spreadsheets and reports. Raw data is monotonous and very often difficult to understand. By presenting data in a visually appealing way we are making it easier to read and also provide a possibility to uncover surprising patterns and observations that wouldn't be apparent from looking at stats alone. To begin visualizing your data you need a right peace of software.

In today’s era of information, a lot of companies are competing to deliver the best data visualization tool. Tableau has been the leader of this market for quite a while as they were the first to introduce a data visualization tool and, of course, many users still considered it to be the best tool in this area today. The ease at which Tableau’s tool can be used is hardly comparable to any other product in the Data Visualization world. Microsoft BI tool called Power Bi is swiftly catching up with Tableau, and is becoming their biggest competitor on the market.

Smart inventory management is one of the key aspects of running a successful online sales business, especially with omnichannel approach, which provides extraordinary customer experience. Optimal stock levels are the goal. And, once the goal is defined, let's see how to achieve it.

With the support of their Predictive Analytics data implemented using artificial intelligence (AI) algorithms, deep learning, reccurent network or convolutional neural network models, Onine Retailers will be able to:

Retail world changes rapidly and dramatically, influenced by two overriding factors. First one is technology. The second one, strongly affected by the first is consumer behavior. Only a few decades ago, being a retailer was much simpler and easier. The store represented one and the only place for creating consumer experience. With the rise of Information Technology, personal computers, internet, and finally mobile devices (smart phones and tablets), retail businesses faced multiple challenges in their struggle to attract and retain customers.

ORIGINAL ARTICLE: https://www.toptal.com/data-science/social-network-data-mining-for-predictive-analysis 
AUTHOR: Elder Santos

Predictive analytics in the cloud is becoming mainstream, with broader and accelerating adoption. We can say this based on recently completed Predictive Analytics in the Cloud Research, from Information-management.com

You can download the full report  from the Information Management white paper library, but in this month’s column I thought I would highlight a few interesting results.

As you are well aware, the business world has gone through some of the most rapid changes within the last few years. Of course, it’s not easy to keep up with the ever-changing business intelligence world.

But with the advent of digital marketing and online analytics, companies now have possibility to learn more about their customers than ever before. In fact, it’s been reported that 90% of the world’s data has been created within the last two years alone.