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What is data analytics? Analyzing and managing data for decisions

CIO

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Analytics 334
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Achieving Business Analytics Success

Datavail

Many companies use business models to construct their systems and networks, then maintain those models to retain their market share. However, they can also use their business modeling processes to develop sustained value creation over time, not just maintain the status quo. The Significance of Strategy. Contact us today.

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What is a business analyst? A key role for business-IT efficiency

CIO

Every company has different issues that a business analyst can address, whether it’s dealing with outdated legacy systems, changing technologies, broken processes, poor client or customer satisfaction, or siloed large organizations. Business analyst skills The business analyst position requires both hard skills and soft skills.

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Top Data science blogs to follow

Apiumhub

In addition to offering advice and learning resources, this list of data science blogs is also full of current news, trends, and opinions from professionals. SmartData Collective SmartData Collective is a community site focused on trends in business intelligence and data management. Top Data Science Blogs to follow.

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Top LinkedIn Groups in 2014 for Analytics, Big Data, Data Mining, and Data Science

CTOvision

We update our analysis of Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science (Dec 2013) and find several interesting trends. Advanced Business Analytics, Data Mining and Predictive Modeling: 121,816 (74% growth in 12 months). Big Data and Analytics: 74,350 (100%). per 1K mbr.

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25 Feb Cloudera Federal Forum in Tysons Corner: Amazing agenda filled with lessons learned and best practices

CTOvision

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Engaging the Hadoop Developer — Deep-dive with industry experts into the key projects, technology, and emerging trends driving the enterprise adoption of Hadoop.

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Datanami’s #5 Big Data Trend of 2019: Skills Shift as Technology Evolves

Datavail

We’ve now reviewed the top 4 data trends projected by Datanami for 2019 – let’s see how stack up for trend #5. Right now, neural networks and deep learning are among the hottest skillsets for budding data scientists (more on that later). and 46 percent of CIOs say they suffer from a skills shortage in big data and analytics.