Excel Science 2017-06-23T09:35:28+00:00

Excel Science

Excel Science – The perfect match, a Science Consultancy Specialising in Excel

When Excel is often missed as a platform for science, it is mistakenly assumed to lack the necessary power, but this is no longer true.  We have proven its use within the science field many times.  This is why we use Excel for our modelling and analysis platforms.

Three Ways That Excel Is Really Great For Science.

1. You’re Already Using It…

If you work in science you are probably using Excel already.  So what can we do for you?

We have vast experience in handling, analysing and charting large datasets.  Some of us have spent years working in the science field, and have first hand experience of using Excel in this challenging environment. With many years of working in the science sector we really look forward to our next challenge.

2. Switching Datasets

We have built many systems using Excel, that are not attached to any particular data set. They can then be readily switched between projects – automatically importing and exporting huge data sets from differing sources for reporting or processing.

With a strong data analysis layer at the rear, and a beautiful dashboard on the front, we will craft you a solution that is a pleasure to use.

3. Third party products

Excel Science is about not wasting time reinventing the wheel. If the solution to a particular problem already exists, we will try our best to find it. This leads to quicker and cheaper development times, and you get the stability offered by established software platforms.  One of our favourites is NAG, an extensive library of routines designed for the science community.

The kinds of questions our customers ask us.

Over the years we have helped clients from MANY areas of science.  Often this involves learning some new terminology, which is great. The essential art of analysing data however does not really change.

Excel is one of the most versatile platforms for connecting to data. If your data set does not connect automatically, we will quickly craft a driver so that you can.

Even if your data set is truly massive, we can find ways to handle it.  It is always possible to sample massive data sets to a level of confidence, and work with the subset.

Excel Science Case Studies

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