{"id":20596,"date":"2018-06-28T08:30:05","date_gmt":"2018-06-28T15:30:05","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=20596"},"modified":"2018-08-21T15:04:03","modified_gmt":"2018-08-21T22:04:03","slug":"data-analytics-trends-stay-top","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2018\/06\/28\/data-analytics-trends-stay-top\/","title":{"rendered":"Be on Top of Key Data Analytic Trends"},"content":{"rendered":"

In this guest article from Australia’s James Cook University, experts discuss the latest key trends in data analytics. Read on to stay abreast of the latest innovations and leaders in the field.\u00a0<\/em><\/p>\n

The demand for data has increased exponentially in the past decade. Businesses have only just begun to realise the potential goldmine of information available online. Using the summarised data is one thing, knowing how best to collect, collate and disseminate it is quite another. Thus, data analytics professionals are highly sought-after, with data science jobs frequently appearing on LinkedIn\u2019s list<\/a> of most in-demand roles.<\/p>\n

\"data<\/a>

Australia’s James Cook University offers a Master of Data Science degree program.<\/p><\/div>\n

While corporations work to fill the gap, they are also increasingly investigating applications and programs that can streamline data analytics processes, making data collection and use more simple and efficient. As a result, the industry is expected to be worth over $128 billion by 2022, a predicted 36 per cent growth from 2016.<\/p>\n

In the scramble to get ahead, a few trends are asserting their dominance. We\u2019ve unearthed the top data analytics trends set to see the industry surge ahead.<\/p>\n

Data management technology<\/strong><\/p>\n

The rise of the Internet has facilitated the increased availability of data. Artificial Intelligence programs such as Suri, Alexa and Google Home all provide new and exciting options for data collection. So too does the rising demand for the Internet of Things, with smart watches collecting health data and interactive technology such as smart fridges revealing consumer behaviour.<\/p>\n

As our data science jobs and capabilities grow, data management technology becomes even more crucial. As Emily Washington of Infogix<\/a> notes: \u201cBusinesses are increasingly evaluating ways to streamline their overall technology stack if they want to successfully leverage big data and analytics.\u201d With increasing media buzz about privacy breaches, the key to long-term data management is not only selecting the right application, but finding skilled individuals able to work with a number of data sets and management programs, who can troubleshoot on the ground when required.<\/p>\n

Collaborative platforms <\/strong><\/p>\n

For digital-centred businesses and large corporations, data teams have the potential to grow to significant sizes. Interconnected businesses may also have teams on different sides of the country,<\/p>\n

or the world. Collaboration needs to take place on strong, internal networks that enable different teams to work in tandem to achieve different aims with the same information.<\/p>\n

Collaborative platforms such as Dataiku<\/a> have answered the call. This program enables connections to over 25 data storage systems, and enables highly-complex analytics to be conducted and communicated on a businesses\u2019 network. The platform can then be used by businesses to create their own data collection software using existing science and cutting-edge machine learning strategies. All data analytics teams need to do is cultivate effective teamwork and cooperation systems, and they\u2019re well on their way to success.<\/p>\n

The ability to bring it all together <\/strong><\/p>\n

These collaborative platforms can\u2019t have strategic impact if there aren\u2019t individuals equipped with the right skills to understand the data and how best to utilise it. Tomer Shiran, of Dremio,<\/a> has suggested that the role of \u2018data curator\u2019 will soon come to the fore of the industry. Data curators would blend the skills of those who read the data, and those who transform and transmit it. The skills required would include high level critical thinking, as the curator will constantly be making decisions about the utility of each data set. They will also hone their knowledge, in order to make the most correct judgements as to what data to collect, and where it should be employed.<\/p>\n

Realize your full potential and discover data analytics<\/strong><\/em><\/p>\n

If the potential applications of data analytic technology get you excited, why not consider a Master of Data Science from James Cook University? With a flexible, fully online course that will link you to fellow professionals, there\u2019s really nothing to lose.<\/em><\/p>\n

Find out more on the James Cook University website today<\/a><\/em><\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

Emily Washington: \u2018Businesses are increasingly evaluating ways to streamline their overall technology stack\u2026 to successfully leverage big data and analytics\u2019. Tech trends in data analytics are seeing the industry soar. Discover more here. <\/p>\n","protected":false},"author":10511,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[184,65,115,182,170,90,87,180,59,60,57],"tags":[280,357,315,430,663,662],"acf":[],"yoast_head":"\nData Analytics Trends to Stay on Top Of<\/title>\n<meta name=\"description\" content=\"Businesses across several industries are buzzing about the growing influence of data analytics on their corporate models. 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