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Big Data: An Opportunity for Data Scientists & Data Analysts

Tom Spencer

Data analysts often work closely with key business functions including marketing , product development, information technology, finance, and management to identify consumer trends, anticipate issues, and present evidence-based solutions to support strategic decision-making. Required Skills.

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Best IT Development Podcasts 2019 for consultants

QEmploy

Information Technology represents one of the fastest growing industries and it’s essential in today’s society. Be it smartphones, laptops, tablets, social media networks or virtual businesses, they are all dependent on developing software and technologies. FLOSS (Free Libre Open Source Software). The Cloudcast.

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Types of Consulting

Tom Spencer

Information Technology: In an increasingly competitive digital world organisations are increasingly looking for digital solutions. IT consultants work with the CTO and senior management to develop software solutions to improve efficiency and organisational performance.

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Impact of Data Analytics in Consulting

Tom Spencer

“Data scientists, fast computers, and advanced software are replacing traditional decision-making processes and disrupting tried-and trusted traditional consulting methodologies, with Big Data being one of the main forces of disruption” ( Tras, 2015 ). 1) Effective use of Big data analysis in consulting business | LinkedIn. References.

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How Analytics Has Changed in the Last 10 Years (and How It’s Stayed the Same)

Harvard Business

Along with the hardware advances, the need to store and process big data in new ways led to a whole constellation of open source software, such as Hadoop and scripting languages. The process of acquiring and using open source software is a major change in itself for established businesses. Related Video. </span> Save.

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7 Ways to Introduce AI into Your Organization

Harvard Business

In the simplest case, cognitive technologies can be just more autonomous extensions of traditional analytics — automatically running every possible combination of predictive variables in a regression analysis, for example. Use an existing vendor’s software with cognitive capabilities. ” Mostly Buy.

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Breaking Down Data Silos

Harvard Business

The biggest obstacle to using advanced data analysis isn’t skill base or technology; it’s plain old access to the data. Despite efforts among software vendors to create self-service tools for data preparation , this proportion of work is likely to stay the same for the foreseeable future, for a couple of reasons.

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