Business Analytics for 2020

The Top 10 Trends in Business Analytics for 2020

BUSINESS

Report with the vision of different experts on business analysis, artificial intelligence, machine learning, deep learning and digital transformation.

MicroStrategy , the world’s leading provider of business analytics and mobility software, has released its 10 Trends in Business Analytics for 2020 report, produced in collaboration with some of the leading analysts and influencers from firms such as  Forrester, IDC, Constellation Research and Ventana Research , among others.

In its report, MicroStrategy collects, from the hand of these experts, the trends and perspectives, in different areas, from Artificial Intelligence and Mobile Intelligence, to the explosion of data and data sources, including some human factors, such as the foreseeable data and analytical talent shortages.

1. Deep learning offers a competitive advantage

” In 2020, the focus of attention on deep learning will be the link between knowing and doing. It is no longer just a concept that is fashionable, the pragmatism of deep learning to predict and understand human behavior will be a point turning in the way companies will operate intelligently against their competitors . ” – Frank J. Bernhard, Chief Data Officer and author, “SHAPE-Digital Strategy by Data and Analytics”.

2. Automated Machine Learning improves the ROI of Data Science initiatives

” Machine learning is one of the most rapidly evolving technologies in recent years, and the demand for the development of this type of learning has increased exponentially. This rapid growth in ML solutions has generated a demand for ready ML models to use that are easy to use and do not require expert knowledge . ” – Marcus Borba, Founder and Principal Consultant, Borba Consulting

3. The semantic chart becomes a fundamental element to offer business value

“ The semantic graph will become the backbone that will support data and analysis in an ever-changing data environment. Organizations that do not use semantic graphics systems are at risk of seeing analytics ROI plummet due to increasing complexity and resulting organizational costs . “- Roxane Edjlali, Senior Director, Product Management, MicroStrategy and former Gartner analyst .

4. Human understanding becomes even more important as data volumes increase

” As knowledge professionals become comfortable working with data, they should also become familiar with the ethnography of the data, or with the study of what they refer to, the context in which they were collected, and the understanding that the data by themselves they may not provide you with a complete picture . “- Chandana Gopal, Research Director, IDC.

5. Next-generation integrated analysis speeds up understanding time

“ Concise analysis provided in the context of specific applications and interfaces accelerate decision making. This style of concise contextual analysis integration and management may take longer, but with advancements such as low-code and codeless development methods, we are seeing increasing adoption of next-generation integration . ” – Doug Henschen, VP and Principal Analyst, Constellation Research.

6. The need to combine data sources continues to grow

“ We anticipate that interest in data diversity will continue. Organizations rarely have a single standard platform for their data and analysis, and multiple tools are used to access the data. The need to combine these data sources will continue to grow . ” – David Menninger, SVP and Research Director, Ventana Research.

7. Data skills become a key requirement for companies

“ Businesses will have to focus not only on recruiting the best analytical talents, but also on education, retraining and improving the skills of their current employees, as the need to make data-driven decisions increases and there is an increased talent shortage ”. – Hugh Owen, Executive Vice President, Worldwide Education, MicroStrategy.

8. AI is real and available now

“ Next year, more and more CDAOs and CIOs will see to it that data science teams have what they need in terms of data so they can spend 70%, 80%, or 90% of their time creating use cases. of IA ”.- Srividya Sridharan, Mike Gualteri, JP Gownder, Craig Le Clair, Ian Jacobs, Andrew Hogan, Predictions 2020: Artificial Intelligence — It’s Time to Turn the Artificial Into Reality (Checks), Forrester, October 30, 2019.

9. Mobile intelligence evolves in 2020 and beyond

” Half of the organizations will reexamine their use of mobile devices and conclude that their technology does not adequately respond to the needs of their employees, which will lead them to analyze a new generation of mobile applications that provide a better work experience and much connectivity more effective with the rest of the organization and with customers. ”- Mark Smith, CEO and Chief Research Officer, Ventana Research.

10. The future of experience management is powered by AI

“ As applications are broken down by business processes in microservices, automation and intelligence will play an important role in customization and efficiency on a massive scale. The Smart Enterprise will leverage context and data to drive best action. ”- R“ Ray ”Wang, Founder and Principal Analyst, Constellation Research.

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