Qlik-2018商业智能BI趋势（英文版）-2018.4-20页-2mb

11 BI Trends for 2018 Summary

Core Content

In 2018, the business intelligence (BI) landscape is expected to evolve significantly as organizations strive to integrate data into their operations more effectively. The overarching theme is "de-silofication" — the process of breaking down data silos to enable more agile, innovative, and governed use of data. This transformation is driven by the increasing complexity of data environments, the need for data literacy, and the integration of new technologies.

Main Trends

1. Data Literacy Gains Priority

• Data literacy is becoming a critical skill for both employees and society.
• Gartner predicts that by 2020, 80% of organizations will develop data literacy programs.
• Only 20% of workers are currently data literate, but 65% are willing to improve their skills.

2. Hybrid Multi-Cloud Environments

• The number of cloud services used by enterprises is growing rapidly.
• In 2018, some data will need to be moved out of the cloud due to regulatory, security, and performance reasons.
• Analytics platforms must support multi-cloud, multi-platform, and hybrid environments.

3. Data Gets Edgy

• More data processing will occur at the edge of the network, especially for IoT, mobile, and immersive analytics.
• By 2019, 40% of IoT data will be processed at the edge.
• By 2022, 75% of enterprise data will be created and processed outside traditional data centers.

4. Convergence of Big Data, Data Discovery, and Data Science

• These areas are becoming more interconnected, enabling broader data exploration.
• Machine intelligence, indexing, and engine-to-engine integration are enabling more effective data analysis.
• On Demand App Generation is one method to manage big data sets.

5. Data Catalogs as a Self-Service Frontier

• Data catalogs are becoming more accessible and integrated with data preparation and analysis.
• They help users combine corporate data, data lakes, and external data as a service.
• The trend moves from expert-only use to broader, more visual access.

6. Interoperability and APIs Take Center Stage

• Interoperability is key in distributed environments.
• Analytics platforms need to be open and extensible with modern APIs.
• APIs enable embedding analytics into workflows, creating data-driven apps.

7. Blockchain Hype Drives Experimental Applications

• Blockchain and peer-to-peer technologies are inspiring new data integration methods.
• While still in early stages, blockchain can help verify data lineage and authenticity.
• It extends beyond cryptocurrencies to analytics and data management.

8. Analytics Become Conversational

• Conversational analytics simplifies data interaction through natural language and voice.
• Virtual assistants and chatbots enable more intuitive data exploration.
• The Qlik® Bot provides a hands-on experience with this trend.

9. Reporting Gets Redefined with Contextual Information

• Reporting will become more personalized and contextual.
• Information will be delivered to users in their work environment, tailored to their needs.
• This approach empowers more people with data and analytics.

10. Analytics Become Immersive

• Immersive analytics will use VR and AR to create more engaging data experiences.
• These formats will help users connect with data on a sensorial and social level.
• Better storytelling and collaboration features will increase user engagement.

11. Augmented Intelligence Changes User Roles

• Augmented intelligence blends AI with traditional BI tools to enhance data utility.
• It transforms users from passive consumers to active participants and facilitators.
• The ecosystem of machine intelligence and human collaboration is central to this trend.

Key Information

• Data literacy is essential for navigating the analytics economy.
• Hybrid multi-cloud and edge computing are reshaping data architecture.
• Interoperability and APIs are enabling more flexible and integrated systems.
• Blockchain and conversational analytics are opening new possibilities for data management and interaction.
• Immersive analytics and augmented intelligence are driving user engagement and innovation.

Conclusion

The 2018 BI trends emphasize the importance of breaking down silos, enhancing data literacy, and leveraging new technologies to create a more connected, governed, and user-friendly data environment. Organizations that adapt to these changes will be better positioned to succeed in the analytics economy.