Posted by Humanization, big data, and artificial and mobile intelligence are among the top Data Analytics trends for this year.
A recent study published by MicroStrategy points trends of digital transformation and Data Analytics that are coming with everything in 2020.
Entitled 10 Enterprise Analytics Trends To Watch In 2020, in English, many thought leaders shared their views on what brands should focus on starting this year to capture the best results.
Check out the summary of key expert opinions
Deep Learning
For Frank J. Bernhard, Chief Data Officer at SHAPE-Digital Strategy, Deep Learning has already moved from the trend stage to consolidation status. And what does that mean? It is no longer something new, and its implementation is almost mandatory. The difference is how each company employs the practice in its operations, and what strategies they are taking to stand out from the competition.
Automated Machine Learning
Automated Machine Learning, or AutoML, is the bet of Marcus Borba, founder and consultant of Borba Consulting. For him, the rapid development of machine learning services in recent years has enabled the emergence of more agile and automated functions in this sector, being of great value to brands, primarily for its ease of use and independence.
Semantic Charts
Roxane Edjlali, Senior Director of Product Management at MicroStrategy and a former Gartner analyst, says semantic charts are essential for adding business value: “Semantic graphics will become the backbone that supports Data and Analytics in a scenario of continually changing data.
Organizations that do not use a semantic graph run the risk of seeing the related ROI analysis to fall due to the increasing complexity and organizational costs incurred. “He explains.
Importance of Human Insight
Data are excellent but for Chandana Gopal, IDC Research Director, people who apply must also be familiar with ethnographic issues and the human context behind all collected situations. According to Gopal, the raw data are incomplete if they do not involve this value.
Embedded Analytics
According to Doug Henschen, VP and analyst at Constellation Research, the new generation of Embedded Analytics will accelerate time and gain insights. “Concise analysis provided in the context of specific applications and interfaces speeds decision making. This style of embedding and curating concise and contextual analytics can take longer, and with advances, including no-code and low-code development methods, we are seeing growing adoption of the next generation of Embedded Analytics. ”
Augmented Analytics
Just as human vision is needed to complement the data intelligence, companies need to get used to diversify these bases references. David Menninger, vice president and director of Ventana Research, explains that large organizations hardly have a unique platform and standardized Data and Analytics, and this tends to vary sources will be increasingly common.
Data-driven Upskilling
The vice president of MicroStrategy education, Hugh Owen, explained that the targeted skills data will become a requirement in the companies, which must pass not only to recruit more people with analytical skills but to train current employees for these skills.
Artificial Intelligence
Just as Deep and Machine Learning have already become mandatory in a data-oriented market, artificial intelligence is also an arm that cannot be left out of business strategies. Forrester Research’s research team indicates that by 2020, data science teams must spend 70 to 90 percent of their time creating new and better AI models to be implemented.
Mobile Intelligence
Mark Smith, CEO and Research Director of Ventana Research, suggests that this year we will see half of the companies reevaluating their mobile operations and understanding that they are insufficient to meet customer expectations. After this, a major overhaul of these digital functions will be observed.
Experience Management
R “Ray” Wang, founder and principal analyst at Constellation Research, says that AI will enhance the Experience Management, “as the applications are broken down by business process for micro-services headless, automation and intelligence will play an important role creating mass customization and efficiency, and scale. The smart enterprise will take context and data analytics to drive your next actions. ”
Original article:
https://www.microstrategy.com/us/resources/blog/bi-trends/10-enterprise-analytics-trends-in-2020
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