Top data analytics trends 2021

The year 2020 proves who is really agile. 

It was a 9 month-long sprint to rapid cloud adoption. Most of the winners in the first wave of COVID-19 are from IT and consumer discretionary industries, which means vast cloud technologies investments.

Consequently, this trend breeds new bulks of data that yell to tell you a story. The top communication skill is going to be revealing insights from the data.

The year 2021 will prove who adapts to the new normal. Enjoy the complete guide to top data analytics trends in 2021.

1

Internet of Behaviours

IoB is all about people-centric behaviours.

IoT tracks how much you eat or how long you wash your hands. Then IoB informs you what you might improve. It adjusts your behaviour to defined thresholds.

The biggest hurdle stays in data privacy due to distinct regulations in every part of the world.

2

Ultimate self-service analytics

Self-service analytics gets more engaging and easier to use than ever. For instance, ask questions about your dataset in natural language. Then cloud-based solutions generate reports automatically finding the story in your data.

The main challenge is to shape data-driven culture across knowledge workers. The top blocker is a learning curve of adopting augmented analytics.

How can I train my knowledge workers?
3

Decision-makers rely on AI and automated decisions

According to Gartner, 75% of big companies will operationalise AI until 2024.

A promising tool is GTP-3. OpenAI develops AI for human-like text content. Generate scripts, poems, blog posts, chatbot, translations by writing a couple of words. The rest composes GTP-3.

The tough time comes up to AI. COVID-19 blasts historical data you used for AI training. Customer habits, travel and IT expenses shift in another direction. The drastic change in the way of working sets AI to get ready for reinforcement learning.

4

Data lake evolution

Take a closer look at Huidi, Delta Lake and Iceberg.

Iceberg, Netflix R&D project, generates insights faster than 3 data engineers working 4 weeks long. It enables you to focus on a small chunk of Big Data storage to answer a particular question.

5

Data marketplace

Eckerson Group spots a trend in data sharing across data providers and data consumers. Platforms for AI training datasets offer insights by:

  •  industry (e.g. banking, life science)
  • functional area (e.g. finance controlling, marketing)
  • data types (e.g. GIS, user traffic)

Gartner reports 25% of enterprises to sell and buy data via marketplaces. By 2022 the trend will increase up to 35% of organisations. The demand for advanced data analytics speeds up supply on other technology trends such as cloud computing, autonomous databases, AI, data science.

6

Data analytics tools go All in One

Data analytics providers offer upselling layers in their analytics solutions. They contribute to more self-sufficient tools than ever.

Data management software gives data preparation.
BI tools extend the scope to data management.

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Conclusion

Everything above drives data visualisation. The final layer to you to understand the data.

React in an agile way on profound changes. The year 2020 is the beginning of the new journey to the Great Reset. All companies start from the same point. Give a chance to advance your business with a better understanding of your data.

What are your actions to step in 2021 confidently? Tell me your story. I turn it into an actionable plan.

Reference:
https://www.tibco.com/blog/2020/12/04/anti-predictions-8-future-proof-analytics-trends-for-2021-and-beyond/
https://tdwi.org/articles/2020/12/10/adv-all-trends-data-analytics-professionals-should-pay-attention-to-in-2021.aspx
https://informationweek.com/big-data/ai-machine-learning/top-10-data-and-analytics-trends-for-2021/d/d-id/1339439?
https://www.gartner.com/smarterwithgartner/gartner-top-strategic-technology-trends-for-2021/https://www.amanet.org/articles/using-visual-language-to-create-the-case-for-change/