# 10 Data and Analytics Predictions

Who says mid-April is too late in the year for a predictions blog? When you’re in an industry as dynamic as data and analytics, it’s important to take a step back and look at the big picture before prognosticating.

Now we’re excited to share some [key trends in enterprise data and analytics](https://docs.data.world/?lang=en/resources/webinar/webinar-10-data-analytics-predictions-2021/), courtesy of experts from AWS, NTT Data, West Monroe Partners, Semantical LLC, and data.world.

Some of these shifts may happen this year, others may take a while longer to manifest, but we believe that change is afoot across several data disciplines including AI, ML, governance, knowledge graph, DataOps, and more:

Want to dig deeper into these predictions straight from our experts? Catch the full panel discussion in [this webinar](/content/resources/webinar/webinar-10-data-analytics-predictions-2021/index.html).

Then, be sure to start thinking about how you can evolve your data and analytics strategy today to stay ahead of these trends. Not to worry: we’ve got a slew of resources if you want to learn more:

- The new competitive battleground: why the [knowledge graph](/content/blog/data-catalog-powered-by-knowledge-graph/index.html) is key
- Scale your data and analytics further with [DataOps](/content/blog/what-is-dataops/index.html)
- Focus on maximizing business value with [agile data governance](/content/resources/agile-data-governance/index.html)
- Hire a [data product manager](/content/blog/what-is-a-data-product-manager/index.html) to facilitate the data lifecycle
- Use more external data and [improve your culture of data sourcing](/content/blog/how-to-strengthen-your-culture-of-data-sourcing/index.html)
- Manage data as a 'first class' citizen using a [data catalog](/content/blog/what-is-a-data-catalog/index.html)