What tools or solutions would you recommend to improve data strategy and governance?

One of the problems we have not yet been able to figure out is the impact of quantity on the sensitivity of data.  As an example; if you would share the price of a product with a customer, then that is absolutely fine.  If you share a price-list then that data may be more sensitive, and if you share the complete pricing structure that may be super-sensitive.   Mechanized solutions (DLP) have problems catching those nuances, which is where for now user education still seems to be the best line of defense.

I would recommend IBM data strategy and governance solution/tools.

I think it starts with understanding what you are trying to protect.  Start with establishing a data inventory.  Understanding what is collected and stored is needed to justify what you are collecting and how long you keep specific elements of data for.  Once you have and understanding of what you are trying to protect then you can look at access control, monitoring, encyrption etc, based on the business needs to protect the data.

Data governance is the most concern of Infosec professionals. That scenario is changing dramatically. A data governance strategy is imperative. With good governance, enterprise data can be more consistent even across divisional boundaries, more accessible and easier to use, enabling better informed business decisions. There are lots of tools available in market but below are the few best practices to improve data strategy and governance.
1. Measure an effectiveness of your data governance program
2. Create a virtual compliance team with the data practitioners
3. Secure your data close to the source.
4. do not take data privacy on trust.
5. Commit to openness, awareness, communication and training
6. Review your data governance policy regularly.

If you are a Microsoft shop, then you might want to look into Microsoft Information Protection.  Otherwise, Code42 is also a good tool.