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How Big Data Impacts The Finance And Banking Industries

Smart Data Collective

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. In this modern age, each business entity is driven by data. Data analytics are now very crucial whenever there is a decision-making process involved. The Role of Big Data.

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Big Data Skill sets that Software Developers will Need in 2020

Smart Data Collective

From the tech industry to retail and finance, big data is encompassing the world as we know it. More organizations rely on big data to help with decision making and to analyze and explore future trends. Big Data Skillsets. These can help a developer find a career in the data science field.

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Top 5 Reasons You Should Become a Data Analyst

Smart Data Collective

As a data analyst, you will learn several technical skills that data analysts need to be successful, including: Programming skills. Data visualization capability. Data Mining skills. Data wrangling ability. Not only is this career in demand, but growing. Machine learning knowledge.

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Why & How to Upskill your Data Analytics skills

Insight Software

Providing valuable insights from data that moves the business forward in achieving its strategic objectives is one of the most valuable skills any FP&A or Operational Planning (OP) professional can possess. Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.

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18 Examples Of Big Data Analytics In Healthcare That Can Save People

Data Pine

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

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DirectX Visualization Optimizes Analytics Algorithmic Traders

Smart Data Collective

This is possible one of the best reasons to use the data analytics features provided by DirectX. On a similar note, objective modeling preps an object for maximum visualization through sophisticated analytics features. For example, when your trading algorithm makes losses or a particular threshold or condition is met.

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Top 10 In-Demand Skills for IT & How L&D Can Help

Cprime

Big Data Analysis. On a daily basis, organizations produce an ever-increasing amount of structured and unstructured data that they have to capture and process. On top of that, companies have to shift to data-driven decision-making to remain competitive and remove processes that rely on gut-feeling or flaky data.