Category: Excel

The Importance of Presentations for the Mining Industry

The Mining Industry was seen as an old-school investment, it was painted dirty by eco-zealots, over-taken by the Crypto Cool Kids, and dismissed by new-age financial whizz kids as falling behind the fads.

Those days are over, thrown down a well that is then capped with used tailings. Why?

  • The environmental persuasiveness that worked its way on the left-leaning of society, has gone through its cycle and now lies in taters: Economies need resources for materials. Grids need baseload power. Hello Coal and Uranium.
  • The boom in bits and bytes as mediums of exchange is nearing an end. You want to preserve wealth? Try a monetary metal. Try something that has 5,000 year old history (Gold!) and compare it to a string of code on a few servers that might not be around in 6 months, due to hackers, government intervention, or because the party has moved on. Precious metals are back.
  • Following on from this vein, the financialisaton in the last 20 years has created wealth from commoditising anything remotely divisible with a financial heartbeat. That cycle is also ending: Making something of nothing in over-glorified Western Economies means that value seeker will have to seek value from what holds value: Resources. Want to build a data centre? You need copper.

What does this mean for the Mining Industry?

It is partly in a pre-millennium mentality and needs to grasp that to properly present its value to new investors it must:

Embrace communication that was just as punchy as recent trends.

  1. Push their unique-selling-points, because previous trends (tech, AI, Biotech etc) are still lingering, some of them will bounce back (as they should), and the investing world is still very competitive.
  2. Swim out to take AI head-on. AI tools mean investors can crunch a lot of research, so presentation from mining companies must be able to have that data ready to be reviewed in the right format.
  3. Stand out as Solid: An interesting aspect of mining, energy and manufacturing is that they are people + equipment + asset businesses. After the next financial roller-coast, investors will flocks back to solid investments.

If your presentation for a mining company needs expert assistance with PowerPoint, Excel (including Chart and Graphics), adding Earth Observation, resources verification and permitting information, or implementing AI  standards, get in contact.

Make Documents Readable for AI

Make Documents Readable for AI or Preparing Presentations and Documents for Client AI Review

We all use AI tools.

We receive a presentation and we ask an AI to review it; make a summary, extract 10 key points, focus on a specific area.

When you make a presentation of document, are you ready for Clients to use an AI to review your materials?

Now You Can, without much effort.

The key is that the data you create, e.g. charts, table, flow-charts, even organisation charts, can be converted to a simple format that is AI-readable. This information can be stored in your document out of sight for a view but definitely within the grasp of an AI processing your PDF.

If you are creating a presentation in PowerPoint or InDesign, or an Information Memorandum in Microsoft Word or Indesign, and yes charts in Excel, there is a process to use to ensure your valuable data can be read by an AI.

Hint: Most documents are exported as PDFs, but not all AI can read charts, and even if they can, they guestimate to give the appearance they do.

To find out more get in contact.

Recreating Charts in Excel or PowerPoint

Recreating charts in Excel or PowerPoint requires patience and data entry, but now this task can be augmented by online tools.

Often charts are presented as screen shots, or scans of old presentations. Some charts have data labels, or no labels and values must be estimated.

I have access to numerous tools to hasten the process of recreating charts in Excel to be used also in PowerPoint and Word Documents.

If you would like to know more, reach out to me.

Note: AI is often used to re-create charts but my personal experience has shown that these programs can complete part of the job, but not everything. Often the present a data set, irrespective of what data is missing.