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There is no point collecting and storing data if you are not going to use it.
Capturing and storing data is great but it is only with analysis that the magic happens.
Data Analysis is actually a process which allows a business to make better decisions based on statistical analysis of a companies data.
Excel and Power BI are two of the most well known and frequently used data analysis tools in companies of all sizes large and small.
You can use data collected from past events to help predict the data of the future using predictive analytics which can increase profits.
With data visualisation you can more easily spot trends in your data which can in turn reveal insight into what is happening.
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Seeing really is believing. Dashboards can give you an instant and current view of your business.
There are many tools out there but Power BI is the one we use the most. It allows us to create data models and then visualise that data to tell a story.
See your Key Performance Indicators at a glance without having to crunch all the numbers across multiple static spreadsheets storing old data.
Restrict access to individual rows of data so that users only get to see the data that they are authorised to view, like the client accounts they manage.
Hear What Our Valued Clients Have to Say.
"The Cyber Samurai team are helpful, responsive and have delivered value in all areas that we have focussed on."
Who does not love a paginated report? They are great for a snapshot in time view of your data.
Reports don't just mean A4 sized, white paper based PDF's with a few graphs. They can also be excel spreadsheets allowing for further analysis.
SSRS (SQL Server Reporting Services) is our favourite but there are many different platforms technologies that can achieve the same result.
A report is only as good as the data it is based on. The presentation layer is like an iceberg. Most of the work is done under the surface.
Being able to predict trends in sales cycles or resource needs can help reduce costs over time.
Using data mining we can extract and discover patterns in the data leading us to valuable insight the business can use to its advantage.
We create and train data models for a variety of purposes like predicting trends or recognising patterns in large data sets.
AI can enhance your predictive analytics projects but AI is just based on data and if you have low quality data it will not suddenly make it useful.
