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Data Analytics: Trends in 2020
Data analytics has become a critical capability of organizations. Gartner outlined trends in Data Analytics that we’ll see in 2020.
- Augmented Analytics – Analytics software will become easier to use so that users not trained in data science will be able to prepare and process data.
- Digital Culture – Concerns for privacy and ethics will drive organizations to establish professional code of conduct for how to work with data.
- Relationship Analytics – Analytics tools will increasingly be used to identify and highlight relationships between people and things to show the data connectivity. Graph analytics in particular will enable this capability.
- Decision Intelligence – AI will be used to combine analytics from multiple systems, multiple applications, and different functional groups to make better decisions based on more comprehensive data and analytic recommendations.
- Commercial AI and ML – Open Source has so far dominated the tools used to perform AI and ML, but by 2022 nearly three-quarters of AI and ML systems will be commercial software. Enterprise software vendors are building connectors into Open Source tools but adding features like greater scalability, reuse, and integration.
- Data Fabric – Consistent methods to access data across a distributed data environment will enable users to bypass the walls of siloed systems to access data.
- Conversational Analytics – Analytic queries increasingly will be performed with natural language text or voice, typically via a virtual assistant. This is another step in making analytics tools easier to use.
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