I'll give you some pointers if you're open to it
Primarily, your data visualisation is not the best, you could use reading up about it, looking up good examples of charts and dashboards? Plenty on Chandoo.
1. You use secondary axis A LOT. I'd almost never show the secondary axis. It is very confusing for people because they don't know which visual matches to which side.
2. If you use data points, there is little to no point in using the axis as well, you could delete both axis from showing on almost all of your charts.
3. A lot of bar charts, do you want to consider a line graph, a scatterplot, waterfall? Atleast put a table or some KPI flashcards in there. 6 tiles of bar charts doesn't speak to people. In addition, some bar charts there show composition that doesn't change much month to month so it's hard to see what the trend is, or if there is a trend. You would tell a lot more information by simply listing:
CCR1 : Volume +2%
CCR3: Volume +1%
CCR5: Volume -2.5%
4. If you have axis, titles or labels that are not the most critical thing but you want the information there, make the font grey. lets the real information stand out.
5. if you're struggling to see the data points that are within the bars, you can give the text a striking background. Put a gradient on it if you don't like how crude that looks, either way the readability is much better.
6. Why not fix your own colour schemes (rather than use excel defaults everyone recognises by now) maybe try linking them to data, say shades of blue scheme if the data is about volume, red for profits, yellow forecasts? And make the most recent month stand out! Everyone is looking for it, are they not?
7. Refer reason volume, very hard to read. I'd make the bars thicker (to easier distinguish the colour) and possibly separate them so each reason has a distinct chart. That or insert a table with sparklines.Also, just on this chart, it's difficult to tell whether the upward trend is due to overall volume being higher, or the reason being more prevalent. Perhaps a composition (% of total) would make more sense?
8. saying $100m (and correcting the labels/axes accordingly, you can change that in custom text formatting options) is probably better than having $100,000,000 everywhere.
9. top left chart and the one immediately below it, there is no real reason for the line graph to overlap the bar chart, to me it seems to imply some sort of composition trend like 'August 2017 was right on target'. If you play around with the secondary axis min and max, you can lift the line way above the bar charts and it's distinguishable and tells a separate story.
10. The axis on some of your charts are odd, but I'd think you noticed that. I think you may have not implemented my first pointer to you as I do it, take security indicator volume, primary axis I'd do:
Then in number options of the axis, get rid of the decimals

Now it looks like:
No '1' down bottom, '1601' up top, or weird 201 intervals. 0.1 axis minimum still suppresses all 0 labels.
Information:
(caveat, I've no actual idea what the job/point of the MI is, just found it a bit bizarre in telling a story)
1. You seem to be focusing a lot on averages, why not have month on month comparisons? Year to date? performance to targets, metrics. Add budgets, forecasts? benchmarks? Other comparative information? If this is really a $300m a month operation, I presume there is a lot of that information around to go by!
2. Similar to above, but actually good job on using the KPIs on top of the dashboard, it's nice to have some solid facts like that up front and up the top. I would suggest looking into what other things you could add there. Last month's data? Year to date?
3. Understanding that it's a dashboard, I still think you could add commentary some places, for example next to refer reasons, would you not note down whether any policies/structural changes may have skewed the general trend?
4. Bonus advanced tip: You can link one slicer to multiple pivots, you can, for instance, create a simple pivot that will act sort of as an 'on/off' switch, so if I pick state 'SA', this pivot says 'SA'.
With this, you can have a special box up the top that would tell general information, how many staff do we have, how many branches, offices, capital.
But a formula would then, if pivot says 'SA' look up same information regarding SA specifically.
It looks like you are presenting a lot of complex information, I think I recognise what it is, an automated business loans approval system? If so, from experience here, I sincerely doubt any of your readers will be able to recite what all the rules are, or even basic information about the sectors/products/geographical areas you operate in. It really helps to understand that, and feed them that information somewhere just so that everyone is on the same page and can have a meaningful conversation. There are egos in the room, chances are 10 people noticed a rejection rule trend up and want to ask questions, but won't because they don't know what that rule is. They'll assume others know. They'll ask. Maybe they have a document on this? No, lost it. Questions will never be asked, impact won't be made.