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Data, analytics, big data, data analytics, and everything related to analytics and business intelligence, are going to be topics of prime focus and importance for companies in 2017. While some companies tried to surprise the market with big data technologies in 2016, the next year is going to see a much more advanced version of the same trend. While the analytics landscape will be dominated by unstructured data, there will be a huge demand for professionals who have a strong command on the analytical tool R.
Companies will strive for analytical agility and automation. Old mechanisms such as A/B testing or multivariate testing will be replaced by real-time agile methods of analyzing data. Organizations will be interested in knowing the best BI solution for their business. They would like to know the best way to analyze data and present insights. Being analytical will no longer matter. Hiring data analytics professionals will not be enough. There will be a demand for data scientists, who only see, eat, breath and sleep data and analytics.
Consumers will be interested in new devices that have sensors to track a lot of data. They want their old devices to be smart enough to track data, like their mobile phones, tablets, or desktops. While 2016 was the year of the wearables and the data derived from them, 2017 could see data being transmitted from drones, flying cars, or even roof tiles. There could be augmented reality eyewear, data from which will be in demand to be analyzed. Accessories could be replaced by "app-cessories".
Dashboards provide a lot of insights into the analyzed data sets. However, in 2017, there will be a demand for simpler and real-time dashboards which can revamp the way insights are created and interpreted. Besides, analytics platforms will not just give insights. They will start giving predictive insights. 2017 will see the rise of interactive business dashboards.
Predictive analytics methods like Artificial Neural Networks (ANN) and Autoregressive Integrated Moving Average (ARIMA) will be in demand. Artificial Intelligence and machine learning will change the way companies approach analytics and data management. Firms will be interested in advanced analytics technologies based on which complex algorithms will be created. AI will be at the heart at most of these algorithms.
One of the most important data analytics and BI trends in 2017 will be setting up multiple BI and analytics centers of excellence, which will foster adoption of self-service analytics tools and methods. Embedded analytics will be the new capability that companies will look for - analytics tools embedded or integrated within an organization’s existing software and native applications. Some more important analytics trends to look for in the year ahead are -
Read an article on Migrating Data to Cloud - Limitations and Opportunities.
Companies will transition to become data-driven in 2017. Flatworld Solutions has been offering a wide range of data management and data analytics services for over a decade, and can help you maximize the power of raw data at cost-effective rates.
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